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CN107569758A - A kind of multifunctional breath internal medicine oxygen hose attemperator - Google Patents

A kind of multifunctional breath internal medicine oxygen hose attemperator Download PDF

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Publication number
CN107569758A
CN107569758A CN201710791250.5A CN201710791250A CN107569758A CN 107569758 A CN107569758 A CN 107569758A CN 201710791250 A CN201710791250 A CN 201710791250A CN 107569758 A CN107569758 A CN 107569758A
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oxygen
matrix
data
frequency domain
streaming media
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冯秀丽
袁其华
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Individual
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Abstract

The invention belongs to field of medical article technology, discloses a kind of multifunctional breath internal medicine oxygen hose attemperator, is provided with oxygen machine, and the interlocking of oxygen machine outer upper end has illuminating lamp, luminous lamp switch, and the interlocking of oxygen machine centre has display screen;Display screen lower end is provided with oxygen therapy rate adaptation knob and humidity regulation knob, and oxygen machine lower end fluting has transfer port and venthole, power interface and water inlet are provided with the right side of oxygen machine;Lower end is connected with power supply in oxygen machine, and power supply upper end stainless steel both ends are socketed Oxygen storage container and tank respectively, and Oxygen storage container upper end is provided with air pump;Oxygen storage container and tank upper end installation having heaters.The present invention can heat oxygen and vapor, adjustment oxygen therapy plastics and wetness, be incubated oxygen hose conveying, allow patient to use more comfortable oxygen;Equipped with display screen, indices are more intuitively observed;Illuminating lamp is installed, can night lighting use.

Description

Oxygen pipe heat preservation device is used to multi-functional department of respiration
Technical Field
The invention belongs to the technical field of medical supplies, and particularly relates to a multifunctional oxygen tube heat preservation device for respiratory medicine.
Background
Oxygen inhalation is one of the main clinical treatment means at present, and is also a commonly used technical scheme in the operation. Some patients with respiratory failure, chronic tracheitis, coronary heart disease and the like need to frequently inhale oxygen throughout the year to ensure normal metabolism of the body.
The existing oxygen machine directly transmits oxygen into the nasal cavity of a patient, and because the temperature of the oxygen is lower and is relatively dry due to too high or too low air flow, the oxygen inhalation effect cannot be ideal; when the patient gets up at night, the light is brighter, and the patient in other sickbeds is affected.
Most of the existing channel estimation methods are based on pilot frequency assistance, known pilot frequency information is periodically inserted into transmitted data, and the methods firstly estimate and obtain channel response on a pilot frequency position, and then obtain the channel response on a data position by using a certain processing method.
Qinchuuan Zhang et al, in An article "An Enhanced DFT-Based Channel Estimator for LTE-a Uplink" (IEEE Transactions on Vehicular Technology 2013), proposes a Channel estimation method Based on DFT, which first estimates a Channel estimation value of a pilot position, and obtains the Channel estimation value of a data symbol position by weighting. The method has the following defects: the method is limited by the pilot frequency mode and the number, the estimation accuracy of the method is sharply reduced under the high-speed mobile environment, and the estimation accuracy of the fast time-varying channel cannot be ensured.
The method based on the base extension model BEM establishes a model aiming at the fast time-varying channel, and a nonlinear fast-varying channel can be expressed by using a few parameters. Yang et al proposed a method of combining polynomial base extension model P-BEM with autoregressive model AR in the article "Fast Time-Varying Channel Estimation Technique for LTE Uplink in HST Environment" (IEEE Transactions on temporal Technology 2012) to improve the Estimation accuracy of Fast Time-Varying Channel, but the method has high computational complexity and is not easy to implement, and the error of P-BEM model is larger than that of complex index base extension model CE-BEM, which affects the accuracy of Fast Time-Varying Channel Estimation.
The existing channel estimation method is not used in the gas flow detection of medical equipment, can not accurately measure the actual dosage of a user, and only adjusts the dosage by the experience of a doctor; for critically ill patients, accurate control cannot be performed according to the actual needs of the patient.
In summary, the problems of the prior art are as follows: the existing oxygen machine directly transmits oxygen into the nasal cavity of a patient, and because the temperature of the oxygen is lower and is relatively dry due to too high or too low air flow, the oxygen inhalation effect cannot be ideal; and the degree of intellectualization is poor; and when the patient gets up at night, the light is brighter, and the patient in other sickbeds is affected.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multifunctional oxygen tube heat preservation device for respiratory medicine.
The invention is realized in this way, a multifunctional oxygen tube heat preservation device for respiratory medicine, the invention includes: the oxygen supply device comprises an oxygen machine, a lighting lamp switch, a display screen, an oxygen delivery rate adjusting knob, a humidity adjusting knob, an air delivery hole, an air outlet hole, a power supply interface, a water inlet, an air pump, an oxygen storage container, a power supply, a mixing container, a water storage container, a heater and a heat preservation oxygen tube.
The upper end of the outer side of the oxygen machine is embedded with a lighting lamp and a lighting lamp switch, the middle of the oxygen machine is embedded with a display screen, the lower end of the display screen is provided with an oxygen delivery rate adjusting knob and a humidity adjusting knob, the lower end of the oxygen machine is provided with an air delivery hole and an air outlet hole, and the right side of the oxygen machine is provided with a power supply interface and a water inlet;
the lower end in the oxygen machine is connected with a power supply in a clamping manner, the two ends of a mixing container at the upper end of the power supply are respectively sleeved with an oxygen storage container and a water storage container, an air pump is installed at the upper end of the oxygen storage container, and heaters are installed at the upper ends of the oxygen storage container and the water storage container.
The heat preservation oxygen pipe is sleeved on the air outlet.
The air delivery hole is connected with an oxygen supply bottle.
And two ends of the mixing container are respectively sleeved with the oxygen storage container and the water storage container through hoses.
The illuminating lamp, the air pump and the heater are connected with a power supply through leads.
The tail end of the heat preservation oxygen pipe is sleeved with a breathing mask or a breathing pipe.
A temperature sensor is embedded in the heater; an oxygen delivery rate detector is embedded in the air delivery hole; a humidity detector is embedded in the water storage container; the upper end of the outer side of the oxygen machine is embedded with a controller; the temperature sensor, the oxygen delivery rate detector, the humidity detector, the heater, the oxygen delivery rate adjusting knob and the humidity adjusting knob are connected with the controller in a wired or wireless manner;
the controller is connected with the mobile terminal for data sharing through wireless;
the oxygen delivery rate detector estimates the rate information of the change of the flowing oxygen through a built-in rate estimation module; the method for estimating the changed rate information includes:
local pilot symbolsConversion to transform domain symbolsWherein p is s Is the number of the local pilot symbol; generating a basis function matrix using a complex exponential basis expansion modelFrequency domain matrix corresponding to basis function at pilot symbolAnd frequency domain matrix corresponding to the basis function of all symbolsWherein Q =0, \8230, Q is the number of basis functions, n s The serial number of each single carrier frequency division multiplexing symbol; according to transform domain symbolsAnd frequency domain matrixObtaining a frequency domain matrix for estimating a base coefficient vector
Fast Fourier FFT conversion is carried out on the received signal to obtain a frequency domain received signal Y, and the block-shaped pilot frequency symbol received by the receiving end is extracted from the frequency domain received signal YWherein p is λ Is the serial number of the received block pilot symbol;
using received block pilot symbolsAnd frequency domain matrixObtaining estimated value of base coefficient vector by least square methodWherein,is the generalized inverse of the matrix;
from the derived mathematical relationship between the basis coefficients and the frequency domain channel responseUsing estimated basis coefficientsDirectly obtaining frequency domain channel response matrixWhereinIs the frequency domain matrix generated in step 2);
Wherein the local pilot symbols are transmittedConversion to transform domain symbolsThe method is carried out according to the following formula:
wherein,diag (-) is the operation of converting a vector into a diagonal matrix, Q is the number of basis functions, I Q+1 Is an identity matrix of dimension Q +1,is a symbol of a Crohn's inner product operation, F L Is the first L columns of the fast fourier transform matrix F, L being the separable path number of the fast time-varying channel.
Generating the basis function matrixAnd a frequency domain matrixThe method comprises the following steps:
a) Generating a basis function matrix
Wherein,is a matrix of basis functionsThe element (b) is generated by using a complex exponential basis expansion model according to the following formula:
wherein Q =0,1, \8230, Q is the number of basis functions, N =0,1, \8230, N is the number of points of the fast fourier transform, N s =1,2,…,N symb Is the number, N, of each single carrier frequency division multiplexing symbol symb Is the number of single carrier frequency division multiplexing symbols in one transmission block;
b) Generating a frequency domain matrixAnd
wherein,is the Q-th frequency domain matrix, Q =0,1, \8230, Q is the number of basis functions,is a matrix of basis functions at the pilot symbols, p s Is the sequence number of the pilot symbol and,is a matrixThe first L columns of (1), F is an N-point fast Fourier transform matrix, (-) H Is a conjugate transpose operation of the matrix;
the temperature sensor is provided with a plurality of, and temperature sensor's measurement model is as follows:
Y A (t k-1 )、Y A (t k )、Y A (t k+1 ) At t for temperature sensor A to target respectively k-1 ,t k ,t k+1 The measured values under the local cartesian coordinate system at the moment are respectively:
wherein, Y' A (t k-1 )、Y' A (t k )、Y' A (t k+1 ) Respectively, the temperature sensor A is at t k-1 ,t k ,t k+1 The true position under the local Cartesian coordinate system of the moment; c A (t) is a transformation matrix of the error; xi shape A (t) is the system error of the temperature sensor;for system noise, assumeAre zero mean, independent Gaussian random variables, and noise covariance matrix is R A (k-1)、R A (k)、R A (k+1);
The fractional low-order fuzzy function of the digitally modulated signal x (t) of the moisture detector is represented as:
where τ is the delay shift, f is the Doppler shift, 0<a,b<α/2,x * (t) represents the conjugate of x (t), and when x (t) is a real signal, x (t) <p> =|x(t)| <p> sgn (x (t)); when x (t) is a complex signal, [ x (t)] <p> =|x(t)| p-1 x * (t)。
Further, the utilization estimation valueDirectly obtaining frequency domain channel response matrixThe method comprises the following steps:
a) Establishing a relation between the base coefficient and the frequency domain channel response matrix:
ignoring inter-subcarrier interference within one symbol, frequency domain channel matrix of each single carrier frequency division multiplexing symbolAnd time domain channel matrixThe relationship of (a) is approximated as:
wherein F is an N-point fast Fourier transform matrix (·) H Is a conjugate transpose operation of the matrix.
Extending a basis by a model expressionSubstituting into the above formula yields:
due to G q Is a Toplitz circulant matrix, G q The first column is [ g ] q,0 ,g q,1 ,…,g q,L-1 ,0,…,0] T Therefore, g is q =[g q,0 ,…,g q,l ,…,g q,L-1 ] T ,FG q F H =F L g q Wherein F is L Is the first L columns of matrix F, the above equation can be simplified as:
wherein,is the basis function matrix generated in step (a),is a matrixThe first L columns of (a) and (b),is the frequency domain matrix in step (b), Q is the number of basis functions, n s Is the serial number of the single carrier frequency division multiplexing symbol; thus, a base coefficient g and a frequency domain channel response matrix are establishedThe mathematical relationship of (1);
b) Obtaining a frequency domain channel response matrix of each single carrier frequency division multiplexing symbol:
using estimatedCoefficient of basisObtaining the nth according to the mathematical relation between the basic coefficient and the frequency domain channel response matrix established in the step (A) s Frequency domain channel response matrix of single carrier frequency division multiplexing symbol:
wherein,is the frequency domain matrix in step (b).
Further, the controller modulates the signals transmitted by the temperature sensor, the oxygen delivery rate detector, the humidity detector and the heater according to a model represented by:
r(t)=x 1 (t)+x 2 (t)+…+x n (t)+v(t)
wherein x is i (t) is each signal component of the time-frequency overlapping signal, each component signal is independent and uncorrelated, n is the number of the time-frequency overlapping signal components, theta ki Representing the modulation of the phase of the carrier of each signal component, f ci Is a carrier frequency, A ki Amplitude of the i-th signal at time k, T si Is the symbol length.
Further, the controller is connected with the mobile terminal through a network; the mobile terminal is used for receiving and displaying the data information transmitted by the controller and sharing the data information.
Further, the data sharing method of the mobile terminal specifically includes:
obtaining a sharing request;
calling a first-flow media service according to the sharing request, and determining first data for sharing;
converting the first data into streaming media data and generating address information which can obtain the streaming media data through a streaming media protocol based on the streaming media service;
sending the address information to a controller; the address information is used for enabling the controller to obtain the streaming media data according to the address information;
and based on the streaming media service, outputting the streaming media data to the controller after receiving the confirmation information of the controller.
Further, determining first data for sharing according to the sharing request comprises:
if the file information of any data file stored on the controller is acquired from the sharing request, determining that the any data file is first data for sharing;
if a sharing request is received in the processing process of any data file, determining any currently processed data file as first data for sharing.
Further, before outputting the streaming media data to the controller, the method further includes:
sending control information to the controller, wherein the control information is used for enabling the controller to determine to execute the streaming media data application program according to the control information;
in the process of processing any data file, the steps of receiving the sharing request, determining first data for sharing according to the sharing request, converting the first data into streaming media data, and generating address information capable of obtaining the streaming media data through a streaming media protocol include:
determining any data file currently processed as first data for sharing;
acquiring the current processing position information of any data file, converting an unprocessed part in any data file into streaming media data and generating address information capable of acquiring the streaming media data through a streaming media protocol;
converting any data file into streaming media data and generating address information capable of obtaining the streaming media data through a streaming media protocol.
Further, the obtaining a sharing request includes:
if the operation information that the controller executes the setting operation is detected, a sharing request is generated according to the operation information;
after receiving the confirmation information of the controller, terminating the processing flow of any data file;
and after the sharing request is obtained, taking the real-time input data as first data, and converting the real-time input first data into streaming media data based on the calling streaming media service.
The invention has the advantages and positive effects that: the invention can heat oxygen and water vapor, adjust the oxygen transmission speed and the water vapor humidity, and transmit the oxygen through the heat preservation oxygen pipe, so that a patient can use more comfortable oxygen; the display screen is arranged, so that various indexes can be observed more intuitively; the illuminating lamp is arranged, so that the night illumination can be realized, and other patients cannot be influenced.
The method selects a complex exponential basis expansion model with the minimum model error, and determines the number of the optimal basis functions so as to improve the estimation precision; the frequency domain matrix used for estimating the base coefficient is calculated in advance and stored, so that the calculation complexity is reduced.
The invention utilizes the time-frequency domain characteristics of the channel to deduce the mathematical relation between the basis coefficient and the frequency domain channel response matrix, thereby avoiding the time-frequency domain conversion process of the channel with higher calculation complexity and facilitating the frequency domain equalization processing of the received signal by the controller.
The invention utilizes the temperature and humidity parameter information acquired by the network technology, and a user can acquire the used water quality parameters through the mobile terminal at any time and any place. And then according to the parameters, real-time adjustment is carried out, the mobile terminal has good interactivity, and the requirements of customers can be met in the aspects of accuracy and time delay. Meanwhile, the mobile terminal can be a family member of a patient or a doctor, and real-time information is obtained through a sharing method; is convenient for doctors and family members of patients.
Drawings
Fig. 1 is a schematic structural view of a multifunctional oxygen tube heat preservation device for respiratory surgery provided by the embodiment of the invention.
Fig. 2 is a sectional view of the multifunctional oxygen tube heat preservation device for respiratory surgery provided by the embodiment of the invention.
Fig. 3 is a sectional view of an insulated oxygen hose according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a controller connection provided in an embodiment of the present invention.
In the figure: 1. an oxygen machine; 2. a lighting lamp; 3. an illuminating lamp switch; 4. a display screen; 5. an oxygen delivery rate adjustment knob; 6. a humidity adjusting knob; 7. a gas transmission hole; 8. an air outlet; 9. a power interface; 10. a water inlet; 11. an air pump; 12. an oxygen storage container; 13. a power source; 14. a mixing vessel; 15. a water storage container; 16. a heater; 17. a heat preservation oxygen pipe; 18. a temperature sensor; 19. an oxygen delivery rate detector; 20. a moisture detector; 21. a controller; 22. a mobile terminal.
Detailed Description
For further understanding of the contents, features and effects of the invention, the following examples are given in conjunction with the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1 to 3, the multifunctional endotracheal tube warming device for respiratory surgery provided in the embodiment of the present invention includes: the oxygen supply device comprises an oxygen machine 1, an illuminating lamp 2, an illuminating lamp switch 3, a display screen 4, an oxygen delivery rate adjusting knob 5, a humidity adjusting knob 6, an air delivery hole 7, an air outlet hole 8, a power supply interface 9, a water inlet 10, an air pump 11, an oxygen storage container 12, a power supply 13, a mixing container 14, a water storage container 15, a heater 16 and a heat preservation oxygen pipe 17.
The upper end of the outer side of the oxygen machine 1 is embedded with a lighting lamp 2 and a lighting lamp switch 3, the middle of the oxygen machine 1 is embedded with a display screen 4, the lower end of the display screen 4 is provided with an oxygen delivery rate adjusting knob 5 and a humidity adjusting knob 6, the lower end of the oxygen machine 1 is provided with an air delivery hole 7 and an air outlet hole 8, and the right side of the oxygen machine 1 is provided with a power supply interface 9 and a water inlet 10; the lower end in the oxygen machine 1 is clamped with a power supply 13;
two ends of a mixing container 14 at the upper end of the power supply 13 are respectively sleeved with an oxygen storage container 12 and a water storage container 15, an air pump 11 is installed at the upper end of the oxygen storage container 12, and heaters 16 are installed at the upper ends of the oxygen storage container 12 and the water storage container.
The heat preservation oxygen pipe 17 is sleeved on the air outlet 8.
The air transmission hole 7 is connected with an oxygen supply bottle.
Two ends of the mixing container 14 are respectively sleeved with the oxygen storage container 12 and the water storage container 15 through hoses.
The illuminating lamp 2, the air pump 11 and the heater 16 are connected with a power supply through leads.
The tail end of the heat preservation oxygen pipe 17 is sleeved with a breathing mask or a breathing pipe.
The oxygen supply bottle is connected with the air supply hole 7 to input oxygen, distilled water is injected into the water inlet, and the power cord is connected with the power interface 9 to enable the oxygen machine to enter a working state; the air pump 11 is responsible for oxygen output, the heater 16 is responsible for heating oxygen and distilled water, the heat-preservation oxygen pipe is sleeved on the air outlet hole 8, and is connected with and worn with an aerobic air hood or an oxygen pipe, and the oxygen delivery rate adjusting knob 5 and the humidity adjusting knob 6 are adjusted to be in proper conditions for use; the lighting lamp switch 3 is turned on to illuminate; after the power supply 13 stores a certain amount of electricity, the charging can be disconnected for use.
The invention can heat oxygen and water vapor, adjust the oxygen transmission speed and the water vapor humidity, and transmit the oxygen through the heat preservation oxygen pipe, so that a patient can use more comfortable oxygen; the display screen is arranged, so that various indexes can be observed more intuitively; the illuminating lamp is arranged, so that the night illumination can be realized, and other patients cannot be influenced.
As shown in fig. 4, a temperature sensor 18 is embedded in the heater; an oxygen delivery rate detector 19 is embedded in the air delivery hole; a humidity detector 20 is embedded in the water storage container; the upper end of the outer side of the oxygen machine is embedded with a controller 21; the temperature sensor, the oxygen delivery rate detector, the humidity detector, the heater, the oxygen delivery rate adjusting knob and the humidity adjusting knob are all connected with the controller in a wired or wireless mode;
the controller is connected with a mobile terminal 22 for data sharing through wireless;
the oxygen delivery rate detector 19 estimates information on the rate at which the flowing oxygen gas changes by a built-in rate estimation module; the method for estimating the changed rate information includes:
local pilot symbolsConversion to transform domain symbolsWherein p is s Is the sequence number of the local pilot symbol; generating a basis function matrix using a complex exponential basis expansion modelFrequency domain matrix corresponding to basis functions at pilot symbolsAnd frequency domain matrix corresponding to the basis function of all symbolsWherein Q =0, \ 8230, Q is the number of basis functions, n s Is the serial number of each single carrier frequency division multiplexing symbol; according to transform domain symbolsAnd frequency domain matrixObtaining a frequency domain matrix for estimating a base coefficient vector
For received signalsPerforming Fast Fourier Transform (FFT) to obtain a frequency domain received signal Y, and extracting block-shaped pilot symbols received by a receiving end from the frequency domain received signal YWherein p is λ Is the serial number of the received block pilot symbol;
using received block pilot symbolsAnd frequency domain matrixObtaining estimated value of base coefficient vector by using least square methodWherein,is a generalized inverse operation of the matrix;
from the derived basis coefficients and mathematical relationships of the frequency domain channel responsesUsing estimated basis coefficientsDirectly obtaining frequency domain channel response matrixWhereinIs the frequency domain matrix generated in step 2);
wherein the local pilot symbols are transmittedConversion to transform domain symbolsThe method is carried out according to the following formula:
wherein,diag (-) is the operation of converting a vector into a diagonal matrix, Q is the number of basis functions, I Q+1 Is an identity matrix of dimension Q +1,is a symbol of a Crohn's inner product operation, F L Is the first L columns of the fast Fourier transform matrix F, and L is the separable path number of the fast time-varying channel.
Generating the basis function matrixAnd frequency domain matrixThe method comprises the following steps:
a) Generating a basis function matrix
Wherein,is a matrix of basis functionsThe element (b) is generated by using a complex exponential basis expansion model according to the following formula:
wherein Q =0,1, \8230, Q is the number of basis functions, N =0,1, \8230, N is the number of points of the fast fourier transform, N s =1,2,…,N symb Is the number, N, of each single carrier frequency division multiplexing symbol symb Is the number of single carrier frequency division multiplexing symbols in one transmission block;
b) Generating a frequency domain matrixAnd
wherein,is the qth frequency domain matrix, Q =0,1, \ 8230, Q, Q is the number of basis functions,is a matrix of basis functions at the pilot symbols, p s Is the sequence number of the pilot symbols and,is a matrixF is an N-point fast Fourier transform matrix, (. Cndot.) H Is a conjugate transpose operation of the matrix;
the temperature sensors 18 are provided in plurality, and the measurement model of the temperature sensors is as follows:
Y A (t k-1 )、Y A (t k )、Y A (t k+1 ) At t for temperature sensor A to target respectively k-1 ,t k ,t k+1 The measured values under the local cartesian coordinate system at the moment are respectively:
wherein, Y' A (t k-1 )、Y' A (t k )、Y' A (t k+1 ) Respectively, temperature sensor A at t k-1 ,t k ,t k+1 The true position of the moment under the local Cartesian coordinate system; c A (t) is a transformation matrix of the error; xi A (t) is the system error of the temperature sensor;for system noise, assumeAre zero mean, independent Gaussian random variables, and noise covariance matrix is R A (k-1)、R A (k)、R A (k+1);
The fractional low-order blur function of the digitally modulated signal x (t) of the moisture detector 20 is represented as:
where τ is the delay shift, f is the Doppler shift, 0<a,b<α/2,x * (t) represents the conjugate of x (t), and when x (t) is a real signal, x (t) <p> =|x(t)| <p> sgn (x (t)); when x (t) is a complex signal, [ x (t)] <p> =|x(t)| p-1 x * (t)。
The utilization estimation valueDirectly obtaining frequency domain channel response matrixThe method comprises the following steps:
a) Establishing a relation between the base coefficient and the frequency domain channel response matrix:
ignoring inter-subcarrier interference within one symbol, frequency domain channel matrix of each single carrier frequency division multiplexing symbolAnd time domain channel matrixThe relationship of (a) is approximated as:
wherein F is an N-point fast Fourier transform matrix (·) H Is a conjugate transpose operation of the matrix.
Extending the basis to a model expressionSubstituting into the above formula yields:
due to G q Is a Toplitz circulant matrix, G q The first column is [ g ] q,0 ,g q,1 ,…,g q,L-1 ,0,…,0] T Therefore, g is q =[g q,0 ,…,g q,l ,…,g q,L-1 ] T ,FG q F H =F L g q Wherein, F L Is the first L columns of matrix F, the above equation can be simplified as:
wherein,is the basis function matrix generated in step (a),is a matrixThe first L columns of (a),is the frequency domain matrix in step (b), Q is the number of basis functions, n s Is the serial number of the single carrier frequency division multiplexing symbol; at this point, a base coefficient g and a frequency domain channel response matrix are establishedThe mathematical relationship of (1);
b) Obtaining a frequency domain channel response matrix of each single carrier frequency division multiplexing symbol:
using estimated basis coefficientsObtaining the nth according to the mathematical relation between the basic coefficient and the frequency domain channel response matrix established in the step (A) s Frequency domain channel of single carrier frequency division multiplexing symbolResponse matrix:
wherein,is the frequency domain matrix in step (b).
The controller carries out modulation model expression on signals transmitted by the temperature sensor, the oxygen delivery rate detector, the humidity detector and the heater, and the modulation model expression is as follows:
r(t)=x 1 (t)+x 2 (t)+…+x n (t)+v(t)
wherein x is i (t) is each signal component of the time-frequency overlapping signal, each component signal is independent and uncorrelated, n is the number of the time-frequency overlapping signal components, theta ki Representing the modulation of the phase of the carrier of each signal component, f ci Is a carrier frequency, A ki Amplitude of the i-th signal at time k, T si Is the symbol length.
The controller is connected with the mobile terminal through a network; the mobile terminal is used for receiving and displaying the data information transmitted by the controller and sharing the data information.
The data sharing method of the mobile terminal specifically comprises the following steps:
obtaining a sharing request;
calling a first-class media service according to the sharing request, and determining first data for sharing;
converting the first data into streaming media data and generating address information capable of obtaining the streaming media data through a streaming media protocol based on the streaming media service;
sending the address information to a controller; the address information is used for enabling the controller to obtain the streaming media data according to the address information;
and based on the streaming media service, outputting the streaming media data to the controller after receiving the confirmation information of the controller.
Determining first data for sharing according to the sharing request comprises:
if the file information of any data file stored on the controller is acquired from the sharing request, determining that the any data file is first data for sharing;
if a sharing request is received in the processing process of any data file, determining any currently processed data file as first data for sharing.
Before outputting the streaming media data to the controller, further comprising:
sending control information to the controller, wherein the control information is used for enabling the controller to determine to execute the streaming media data application program according to the control information;
in the process of processing any data file, the steps of receiving the sharing request, determining first data for sharing according to the sharing request, converting the first data into streaming media data, and generating address information capable of obtaining the streaming media data through a streaming media protocol include:
determining any data file currently processed as first data for sharing;
acquiring the current processing position information of any data file, converting an unprocessed part in any data file into streaming media data and generating address information capable of acquiring the streaming media data through a streaming media protocol;
converting any data file into streaming media data and generating address information capable of obtaining the streaming media data through a streaming media protocol.
The request for obtaining sharing comprises:
if the operation information that the controller executes the setting operation is detected, a sharing request is generated according to the operation information;
after receiving the confirmation information of the controller, terminating the processing flow of any data file;
and after the sharing request is obtained, taking the real-time input data as first data, and converting the real-time input first data into streaming media data based on the calling streaming media service.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and any simple modifications, equivalent variations and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.

Claims (8)

1. A multifunctional oxygen tube heat preservation device for respiratory medicine department comprises: the oxygen supply device comprises an oxygen machine, a lighting lamp switch, a display screen, an oxygen delivery rate adjusting knob, a humidity adjusting knob, an air delivery hole, an air outlet, a power supply interface, a water inlet, an air pump, an oxygen storage container, a power supply, a mixing container, a water storage container, a heater and a heat preservation oxygen pipe;
the upper end of the outer side of the oxygen machine is embedded with a lighting lamp and a lighting lamp switch, the middle of the oxygen machine is embedded with a display screen, the lower end of the display screen is provided with an oxygen delivery rate adjusting knob and a humidity adjusting knob, the lower end of the oxygen machine is provided with an air delivery hole and an air outlet hole, and the right side of the oxygen machine is provided with a power supply interface and a water inlet;
the lower end in the oxygen machine is connected with a power supply in a clamping way, the two ends of a mixing container at the upper end of the power supply are respectively sleeved with an oxygen storage container and a water storage container, the upper end of the oxygen storage container is provided with an air pump, and the upper ends of the oxygen storage container and the water storage container are provided with heaters;
the heat-preservation oxygen pipe is sleeved on the air outlet;
the gas transmission hole is connected with an oxygen supply bottle;
two ends of the mixing container are respectively sleeved with the oxygen storage container and the water storage container through hoses;
the illuminating lamp, the air pump and the heater are connected with a power supply through leads;
the tail end of the heat-preservation oxygen pipe is sleeved with a breathing mask or a breathing pipe;
a temperature sensor is embedded on the heater; an oxygen delivery rate detector is embedded in the air delivery hole; a humidity detector is embedded in the water storage container; the upper end of the outer side of the oxygen machine is embedded with a controller; the temperature sensor, the oxygen delivery rate detector, the humidity detector, the heater, the oxygen delivery rate adjusting knob and the humidity adjusting knob are all connected with the controller in a wired or wireless mode;
the controller is connected with the mobile terminal for data sharing through wireless;
the oxygen delivery rate detector estimates the rate information of the change of the flowing oxygen through a built-in rate estimation module; the method for estimating the changed rate information includes:
local pilot symbolsConversion to transform domain symbolsWherein p is s Is the sequence number of the local pilot symbol; generating a basis function matrix using a complex exponential basis extension modelFrequency domain matrix corresponding to basis functions at pilot symbolsAnd frequency domain matrix corresponding to the basis function of all symbolsWherein Q =0, \8230, Q is the number of basis functions, n s Is the serial number of each single carrier frequency division multiplexing symbol; according to transform domain symbolsAnd frequency domain matrixObtaining a frequency domain matrix for estimating a base coefficient vector
Fast Fourier Transform (FFT) is carried out on the received signal to obtain a frequency domain received signal Y, and a block-shaped pilot frequency symbol received by a receiving end is extracted from the frequency domain received signal YWherein p is λ Is the serial number of the received block pilot symbol;
using received block pilot symbolsAnd frequency domain matrixObtaining estimated value of base coefficient vector by using least square methodWherein,is a generalized inverse operation of the matrix;
from the derived mathematical relationship between the basis coefficients and the frequency domain channel responseUsing the estimated basis coefficientsDirectly obtaining frequency domain channel response matrixWhereinIs the frequency domain matrix generated in step 2);
wherein the local pilot symbols are transmittedConversion to transform domain symbolsThe method is carried out according to the following formula:
wherein,diag (-) is the operation of converting a vector into a diagonal matrix, Q is the number of basis functions, I Q+1 Is an identity matrix of dimension Q +1,is a symbol of a Crohn's inner product operation, F L Is the first L columns of the fast fourier transform matrix F, L being the separable path number of the fast time-varying channel.
Generating the basis function matrixAnd frequency domain matrixThe method comprises the following steps:
a) Generating a basis function matrix
Wherein,is a matrix of basis functionsThe element (b) is generated by using a complex exponential basis expansion model according to the following formula:
wherein Q =0,1, \8230, Q is the number of basis functions, N =0,1, \8230, N is the number of points of the fast fourier transform, N s =1,2,…,N symb Is the number, N, of each single carrier frequency division multiplexing symbol symb The number of single carrier frequency division multiplexing symbols in one transmission block;
b) Generating a frequency domain matrixAnd
wherein,is the qth frequency domain matrix, Q =0,1, \ 8230, Q, Q is the number of basis functions,is a pilot symbolMatrix of basis functions at number, p s Is the sequence number of the pilot symbols and,is a matrixThe first L columns of (1), F is an N-point fast Fourier transform matrix, (-) H Is a conjugate transpose operation of the matrix;
the temperature sensor is provided with a plurality of, and temperature sensor's measurement model is as follows:
Y A (t k-1 )、Y A (t k )、Y A (t k+1 ) At t for temperature sensor A to target respectively k-1 ,t k ,t k+1 The measured values under the local cartesian coordinate system at the moment are respectively:
wherein, Y' A (t k-1 )、Y' A (t k )、Y' A (t k+1 ) Respectively, temperature sensor A at t k-1 ,t k ,t k+1 The true position of the moment under the local Cartesian coordinate system; c A (t) is a transformation matrix of the error; xi A (t) is the system error of the temperature sensor;for system noise, assumeAre zero mean, independent Gaussian random variables, and noise covariance matrix is R A (k-1)、R A (k)、R A (k+1);
The fractional low-order fuzzy function of the digitally modulated signal x (t) of the moisture detector is represented as:
where τ is the delay shift, f is the Doppler shift, 0<a,b&And lt, alpha/2, x (t) represents the conjugate of x (t), when x (t) is a real signal, x (t) <p> =|x(t)| <p> sgn (x (t)); when x (t) is a complex signal, [ x (t)] <p> =|x(t)| p-1 x * (t)。
2. The multifunctional endotracheal unit of claim 1, wherein the estimate of the usage is determined by the evaluation of the usageDirectly obtaining frequency domain channel response matrixThe method comprises the following steps:
a) Establishing a relation between the base coefficient and the frequency domain channel response matrix:
ignoring inter-subcarrier interference within one symbol, frequency domain channel matrix of each single carrier frequency division multiplexing symbolAnd time domain channel matrixThe relationship of (c) is approximated as:
wherein F is an N-point fast Fourier transform matrix (·) H Is a conjugate transpose operation of the matrix.
Extending a basis by a model expressionSubstituting into the above equation yields:
due to G q Is a Toplitz circulant matrix, G q The first column is [ g ] q,0 ,g q,1 ,…,g q,L-1 ,0,…,0] T Therefore, make g q =[g q,0 ,…,g q,l ,…,g q,L-1 ] T ,FG q F H =F L g q Wherein F is L Is the first L columns of the matrix F, the above equation can be simplified as:
wherein,is the basis function matrix generated in step (a),is a matrixThe first L columns of (a) and (b),is the frequency domain matrix in step (b), Q is the number of basis functions, n s Is the serial number of the single carrier frequency division multiplexing symbol; at this point, a base coefficient g and a frequency domain channel response matrix are establishedThe mathematical relationship of (1);
b) Obtaining a frequency domain channel response matrix of each single carrier frequency division multiplexing symbol:
using estimated basis coefficientsObtaining the nth according to the mathematical relation between the base coefficient and the frequency domain channel response matrix established in the step (A) s Frequency domain channel response matrix of single carrier frequency division multiplexing symbol:
wherein,is the frequency domain matrix in step (b).
3. The multifunctional oxygen tube thermal insulation device for department of respiration as claimed in claim 1, wherein the controller performs modulation model representation on signals transmitted by the temperature sensor, the oxygen delivery rate detector, the humidity detector and the heater as follows:
r(t)=x 1 (t)+x 2 (t)+…+x n (t)+v(t)
wherein x is i (t) is each signal component of the time-frequency overlapping signal, each component signal is independent and uncorrelated, n is the number of the time-frequency overlapping signal components, theta ki Representing the modulation of the phase of the carrier of the respective signal component, f ci Is a carrier frequency, A ki Amplitude of the ith signal at time k, T si Is the symbol length.
4. The multifunctional oxygen tube heat preservation device for the department of respiratory medicine as claimed in claim 1, wherein the controller is connected with the mobile terminal through a network; the mobile terminal is used for receiving and displaying the data information transmitted by the controller and sharing the data information.
5. The multifunctional oxygen tube heat preservation device for the department of respiratory medicine as claimed in claim 4, wherein the data sharing method of the mobile terminal specifically comprises:
obtaining a sharing request;
calling a first-flow media service according to the sharing request, and determining first data for sharing;
converting the first data into streaming media data and generating address information which can obtain the streaming media data through a streaming media protocol based on the streaming media service;
sending the address information to a controller; the address information is used for enabling the controller to obtain the streaming media data according to the address information;
and outputting the streaming media data to the controller after receiving the confirmation information of the controller based on the streaming media service.
6. The multifunctional endotracheal warmer for department of respiratory medicine as claimed in claim 5, wherein determining first data for sharing according to the sharing request comprises:
if the file information of any data file stored on the controller is acquired from the sharing request, determining that the any data file is first data for sharing;
if a sharing request is received in the processing process of any data file, determining any currently processed data file as first data for sharing.
7. The multifunctional endotracheal warmer for department of respiration as recited in claim 5, further comprising, prior to outputting said streaming media data to said controller:
sending control information to the controller, wherein the control information is used for enabling the controller to determine to execute the streaming media data application program according to the control information;
in the process of processing any data file, receiving the sharing request, determining first data for sharing according to the sharing request, converting the first data into streaming media data, and generating address information capable of obtaining the streaming media data through a streaming media protocol includes:
determining any data file currently processed as first data for sharing;
acquiring the current processing position information of any data file, converting an unprocessed part in any data file into streaming media data and generating address information capable of acquiring the streaming media data through a streaming media protocol;
converting any data file into streaming media data and generating address information capable of obtaining the streaming media data through a streaming media protocol.
8. The multifunctional oxygen tube warming device for department of respiratory medicine of claim 5, wherein said obtaining a sharing request comprises:
if the operation information that the controller executes the setting operation is detected, a sharing request is generated according to the operation information;
after receiving the confirmation information of the controller, terminating the processing flow of any data file;
and after the sharing request is obtained, taking the real-time input data as first data, and converting the real-time input first data into streaming media data based on the calling streaming media service.
CN201710791250.5A 2017-09-05 2017-09-05 A kind of multifunctional breath internal medicine oxygen hose attemperator Pending CN107569758A (en)

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CN109344359A (en) * 2018-09-25 2019-02-15 海南大学 A seawater anti-corrosion cable and its production method and detection method
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CN108904014A (en) * 2018-06-02 2018-11-30 河南豫乾技术转移中心有限公司 Cardio-vascular interventional therapeutic equipment with information sensing function
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CN112169104A (en) * 2020-09-28 2021-01-05 南通市第一人民医院 5G-based severe patient apnea rescue device and use method thereof

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