CN109330604A

CN109330604A - A method and device for decomposing a human standing shaking signal

Info

Publication number: CN109330604A
Application number: CN201810989143.8A
Authority: CN
Inventors: 宁钢民; 张晟宇
Original assignee: Zhejiang University ZJU
Current assignee: Zhejiang University ZJU
Priority date: 2018-08-28
Filing date: 2018-08-28
Publication date: 2019-02-15
Anticipated expiration: 2038-08-28
Also published as: CN109330604B

Abstract

The invention discloses a method and a device for decomposing a human standing shaking signal. Based on the actual situation that the center trajectory of the pressure distribution under the foot includes two motion mechanisms, passive wandering and active adjustment, the trajectory can be analyzed by mathematical methods such as corresponding interpolation and Heron's formula. It decomposes itself, and obtains signals representing two movement mechanisms, which can effectively separate the passive wandering and active adjustment in the process of human balance control, and provide a reliable tool for comprehensive research and evaluation of human balance ability. The motion process of posture control when the human body is standing. The sensory adjustment ability such as vision and vestibular balance ability is mostly related to the active adjustment ability of the human body, and its role is more reflected in the active adjustment signal of the human body; while the aging degree of the human body and the overall stability of the muscles are more related to the overall balance ability of the human body. Correlation, more reflected in the passive wandering signal of the human body.

Description

A kind of human body, which is stood, shakes signal decomposition method and device

Technical field

The invention belongs to technical field of medical detection, it is related to a kind of human body and stands to shake signal decomposition method and device.

Background technique

The weight distribution for the support construction and the upper body lower part of the body that the biped of human body itself is stood determines that human body itself is being stood Unstability immediately, but also its adjustment process is extremely complex while improving balanced ability of human body.Various daily In activity, skeletal musculature, the proprioception of nervous system and human body and visual performance etc. are played in balanced adjustment Different effect.Meanwhile during human senility, with the decline of every function, this human body comprehensive of balanced capacity Function also can be relatively early appearance degeneration sign, therefore the balanced capacity for assessing human body can be used as a routine of old monitoring Index for examination, to realize the classification of physical condition and then implement different nurses.In addition, assessment balanced capacity also contributes to evading Fall risk reduces the injury being likely to occur.

The assessment of balanced capacity generally clinically passes through observation using means, doctors such as clinical observation method, scale Evaluation Methods Performance of the subject under different test items is scored, for example, transform to the performance of standing from sitting posture, stand still when Length, the smooth degree for turning round 360 degree etc..These method subjectivities are strong, and the assessment result of different doctors may have larger difference, difficult To quantify, objectively evaluate, and the relevant information for the main source of subject's equilibrium problem of more having no idea to provide, therefore it is answered Guiding value used in its clinical diagnosis while having compared with big limitation is also very limited.

Centre of body weight can generate involuntary swing when human body stationary vertical is stood, and underfoot then show as pressure distribution And the change at its center, the small sway of underfooting pressure distribution center reflect eyesight, vestibular organ and proprioception system And the influence to balance control such as kinematic system.It can be measured using balance ergograph, record underfooting pressure point when human body is stood The swinging track at cloth center, the measurement of correlation parameter of the track have become the quantitative criterion of assessment balanced ability of human body, can use In research balancing and Correlative Influence Factors.

Meanwhile the correlative study of current stage shows the track of the pressure distribution center of underfooting when human body stationary vertical is stood It is main comprising passively slowly vacillating relatively and the quickly adjustment of more active both locomotory mechanisms, the two are relatively independent Locomotory mechanism respectively with participating in each system of balance system, organ has different degrees of association.From the pressure of underfooting point Extracted respectively in the track at cloth center the relevant information with the two locomotory mechanisms facilitate deeper into research balancing, into And facilitate the assessment of balanced ability of human body.

Summary of the invention

Human body stationary vertical can not independently shake when standing, and underfooting pressure distribution therewith can change.Currently, related side Method is also limited to the direct parameter assessment to foot pressure distribution center track of standing, by calculate the area that track is covered with And movement velocity etc. obtains the evaluation to total balance of the body.But the complexity of balanced ability of human body itself cause so directly from Parameter that track mass motion obtains itself does not characterize total balance of the body regulating power strictly, and it is even more impossible to reflect that participating in balance adjusts The relevant information of each system of section.Importantly, containing human body relatively passively in foot pressure distribution center track It slowly vacillates and initiatively two kinds of locomotory mechanisms of quick adjustment, both locomotory mechanism reciprocal effects, and directly to track itself Parameterizing obtained information is that this two parts moves the description mixed, can not distinguish the same of two kinds of locomotory mechanisms very well When, it is easier to limit the accuracy of the balancing evaluation based on parameter.The present invention is based on such actual conditions, i.e. foot pressure Distribution center track includes passively to vacillate and two kinds of locomotory mechanisms of active accommodation, passes through the mathematics such as corresponding interpolation, Heron's formula Method decomposes track itself, obtains the signal for respectively representing two kinds of locomotory mechanism.The present invention is based on this to propose one kind Human body, which is stood, shakes signal decomposition method and device.

The purpose of the present invention is achieved through the following technical solutions: a kind of human body standing shaking signal decomposition method, Method includes the following steps:

1) foot Center of Pressure track COP (x, y) and time flag sequence T are recorded using test equipment, wherein x is a left side Right direction coordinate, y are front-rear direction coordinate；

2) according to known foot Center of Pressure track COP (x, y), the vector acceleration sequence of track movement is obtained Acc (xacc, yacc) and corresponding time flag sequence T, wherein xacc and yacc is respectively on left and right and front-rear direction Component of acceleration；

3) according to vector acceleration sequence Acc (xacc, yacc) and its corresponding time flag sequence T, two two-phases are calculated Minimum acceleration and its corresponding time label between adjacent sampled point, obtain corresponding sequence Acc_interval and T_interval；

4) acceleration rate threshold (general value 0.2-0.4) is set, screens numerical values recited in sequence Acc_interval and is less than The acceleration of threshold value and its corresponding time tag, obtain corresponding time tag sequence T_interp；

5) position for inscribing original foot Center of Pressure track COP (x, y) when each in sequence label T_interp It sets interpolation reconstruction and obtains representing passively slowly wandering track COP_interp (x_interp, y_interp), and track COP The difference of (x, y) and COP_interp (x_interp, y_interp) is the track COP_ quickly adjusted for representing active Resi (x_resi, y_resi), wherein x_interp, x_resi are the position of its track in the lateral direction, y_interp, y_ Resi is the position of its track in the longitudinal direction.

Further, the step 1) specifically includes following sub-step:

1.1) test equipment includes rectangular platform, four corners of rectangular platform according to after left front, left back, right, it is right before it is suitable Sequence is sequentially arranged four pressure sensors, and the collected signal of institute is followed successively by w₁、w₂、w₃、w₄, former and later two pressure sensors The distance of two pressure sensors of distance and left and right is respectively wd and lg；

In sampling instant t_nThe coordinate of human body standing underfooting Center of Pressure when on platform:

X_instant=2lg (w₁+w₂-w₃-w₄)/(w₁+w₂+w₃+w₄)

Y_instant=2wd (w₁-w₂-w₃+w₄)/(w₁+w₂+w₃+w₄)

1.2) the coordinate COP_instant (x_instant, y_intant) for the instant underfooting Center of Pressure being calculated is passed through After crossing exponential smoothing, sampling instant t is obtained_nCoordinate record to track COP (x, y), calculation formula is as follows:

Wherein, α is smoothing factor, takes 0.2-0.4, (x_n-1,y_n-1) and (x_n,y_n) it is respectively t_n-1And t_nThe track at moment Coordinate on COP (x, y).

Further, the step 2) specifically includes following sub-step:

2.1) left and right of the coordinate of track COP (x, y), front-rear direction are carried out at Savitzky-Golay filtering respectively Reason；

2.2) track after filtering processing is calculated separately respectively according to left and right, front-rear direction referring to label T of corresponding time The numerical gradient of a time obtains the velocity vector sequence Vel (xvel, yvel) of track；

2.3) to velocity vector sequence Vel (xvel, yvel) repeat step 2.1) and 2.2) in track COP (x, Y) operation executed, obtains the vector acceleration sequence Acc (xacc, yacc) of track.

Further, the step 3) specifically includes following sub-step:

3.1) t in Acc (xacc, yacc) is calculated_n-1And t_nThe adjacent two vector accelerations Acc at moment_n-1(xacc_n-1, yacc_n-1) and Acc_n(xacc_n,yacc_n) terminal be wired to the common starting point of two vectors vertical line H length h, calculation formula is such as Under:

λ=(| | Acc_n-1||+||Acc_n||+||Acc_n-1-Acc_n||)/2

Wherein, λ is auxiliary parameter；

3.2) vertical o'clock of vertical line H is calculated separately to two vector Acc_n-1(xacc_n-1,yacc_n-1) and Acc_n(xacc_n,yacc_n) Terminal distance, calculation formula is as follows:

Wherein, α₁And α₂It is the vertical point of vertical line H respectively to Acc_n-1(xacc_n-1,yacc_n-1) and Acc_n(xacc_n,yacc_n) The distance of terminal, it is positive and negative to represent point position of hanging down, it is all that timing indicates at vertical o'clock on two terminal lines, if there is a negative value, On the reverse extending line of its corresponding two terminals line；

If 3.3) α₁·α₂> 0, then acceleration representated by the vertical line is the minimum acceleration in the section, and numerical value is acc_min=h calculates corresponding time point, and calculation formula is as follows:

If α₁·α₂< 0, then Acc_n-1(xacc_n-1,yacc_n-1) or Acc_n(xacc_n,yacc_n) be the section minimum Acceleration determines the numerical value acc of minimum acceleration more afterwards_minAnd corresponding time t_min；

3.4) to vector acceleration sequence Acc (xacc, yacc), adjacent vector acceleration repeats above-mentioned calculating two-by-two, obtains Complete acceleration value sequence Acc_interval and corresponding time T_interval.

Further, the step 5) specifically includes following sub-step:

5.1) the upper track COP (x, y) of each moment in time tag sequence T_interp is calculated by cubic spline interpolation Position coordinates, form discrete loci, be denoted as COP_rough；

5.2) connection COP_rough is calculated by cubic spline interpolation, obtains it included in the time tag sequence T When the position coordinates that engrave, form continuous track, i.e. COP_interp (x_interp, y_interp)；

5.3) COP_resi (x_ is calculated according to track COP (x, y) and COP_interp (x_interp, y_interp) Resi, y_resi), calculation formula is as follows:

Wherein, COP_interp (x_interp, y_interp) is passively slow wandering track, COP_resi (x_ Resi, y_resi) be active the track quickly adjusted.

The beneficial effects of the present invention are: the present invention devises a kind of human body standing shaking signal point for balanced ability of human body Method and device is solved, passively vacillating in total balance of the body control process and active accommodation can be efficiently separated, for research comprehensively Reliable tool is provided with evaluation balanced ability of human body.By foot Center of Pressure decomposing trajectories at passively vacillating and active accommodation The track of two kinds of locomotory mechanism more specifically presents the motion process of gesture stability when human body is stood.Such as vision, vestibular The sense organ regulating power of balanced capacity is mostly related to the active accommodation ability of human body, and effect is more reflected in human body active accommodation On signal；And the degree of aging of human body, muscle overall stability are then more related to the whole machine balancing ability of human body, it is more to reflect It passively vacillates on signal in human body.The present invention can individually extract the signal of both locomotory mechanisms.

Detailed description of the invention

Fig. 1 is that signal decomposition method flow chart is shaken in human body standing of the present invention；

Fig. 2 is the floor map of rectangular platform and measurement track of the invention, wherein subject is as represented by footprint Towards standing on platform, the circle of dotted line that quadrangle identifies 1,2,3,4 indicates four pressure sensors；

Fig. 3 is the schematic diagram of decomposing trajectories result of the invention, wherein COP, Interp, Resi are foot pressure respectively Center initial trace, passively slowly vacillate track and active quick adjusting track, dotted line is COP in (a), (c), solid line is Interp；

Fig. 4 is the structural block diagram for the balanced capacity detection device that the present invention is suitable for decomposing trajectories technology.

Specific embodiment

The following further describes the present invention in detail with reference to the accompanying drawings and specific embodiments.

A kind of human body proposed by the present invention, which is stood, shakes signal decomposition method, comprising the following steps:

1) foot Center of Pressure track COP (x, y) is recorded using test equipment and time flag sequence T (guarantees duration 10s or more, sample rate are higher than 50Hz), wherein x is left and right directions coordinate, and y is front-rear direction coordinate, and unit is millimeter (mm), when Between the unit second (s)；

4) acceleration rate threshold (general value 10-50mm/s appropriate is set², value 25mm/s herein²), screen sequence Numerical values recited is less than the acceleration and its corresponding time tag of threshold value in Acc_interval, obtains corresponding time tag sequence T_ interp；

Further, the step 1) specifically includes following sub-step:

1.1) test equipment includes rectangular platform, four corners of rectangular platform according to after left front, left back, right, it is right before it is suitable Sequence is sequentially arranged four pressure sensors, and the collected signal of institute is followed successively by w₁、w₂、w₃、w₄, former and later two pressure sensors The distance of two pressure sensors of distance and left and right is respectively wd and lg；In sampling instant t_nHuman body standing foot when on platform The coordinate of lower Center of Pressure:

X_instant=2lg (w₁+w₂-w₃-w₄)/(w₁+w₂+w₃+w₄)

Y_instant=2wd (w₁-w₂-w₃+w₄)/(w₁+w₂+w₃+w₄)

Wherein, α is smoothing factor (general value 0.2-0.4, herein value 0.25), (x_n-1,y_n-1) and (x_n,y_n) respectively For t_n-1And t_nCoordinate on the track COP (x, y) at moment.

Further, the step 2) specifically includes following sub-step:

2.1) left and right of the coordinate of track COP (x, y), front-rear direction are subjected to Savitzky-Golay filtering processing respectively (recommending window width is 7, recommendation order is 3)；

Further, the step 3) specifically includes following sub-step:

λ=(| | Acc_n-1||+||Acc_n||+||Acc_n-1-Acc_n||)/2

Wherein, λ is auxiliary parameter；

Further, the step 5) specifically includes following sub-step:

A kind of balanced capacity detection device suitable for decomposing trajectories technology proposed by the present invention, the detection device include: Medical D.C. regulated power supply, DC-DC isolation module, Voltage stabilizing module, rectangular platform, pressure sensor, signal imitation processing module, Multiple signals synchronize A/D module, microprocessor module and magnetic coupling isolation module；

The medical D.C. regulated power supply, DC-DC isolation module, Voltage stabilizing module are sequentially connected；

Four corners of the rectangular platform arrange that pressure sensor, four pressure sensors connect at signal imitation respectively After reason mould is filtered and amplifies, it is commonly connected to the synchronous A/D module of multiple signals；

The synchronous A/D module of the multiple signals, microprocessor module, magnetic coupling isolation module are sequentially connected；

The DC-DC isolation module is connect with four pressure sensors；The Voltage stabilizing module be signal imitation processing module, Multiple signals synchronize A/D module, microprocessor module and magnetic coupling isolation and provide burning voltage；

The synchronous A/D module of the multiple signals by input clamping protection, frequency overlapped-resistable filter, sample/hold amplifier with And high-speed ADC realizes the sampling of signal, guarantees the synchronization of four road signals；

The record for the data that the microprocessor module is used to complete to sample AD, storage, upload；

The magnetic coupling isolation module guarantees medical number for realizing the electrical isolation of data acquisition circuit and upstream port According to the electrical safety of acquisition equipment.

Signal processing method in the present invention can help to obtain more relevant slow with central nervous system control ability Ingredient and with the more relevant fast component track of peripheral neverous system control ability, by the discrete journey for calculating this two parts track The indexs of correlation such as degree and movement velocity can assess stability and its adjusting that the body of tested crowd itself is stood respectively The power of function, to provide more perfect balanced capacity evaluation.

	EO			EC
								COP	Interp	Resi	COP	Interp	Resi
RMSD ML	3.11	2.89	0.75	3.27	2.98	1.11^a
							(mm)	(0.96)	(0.92)	(0.45)	(1.08)	(1.03)	(0.73)
mVel ML	5.20	3.41	2.75	6.19^a	3.53	3.94^a
							(mm/s)	(1.63)	(0.82)	(1.55)	(2.34)	(0.84)	(2.39)
RMSD AP	4.24	4.03	0.94	4.50	4.12	1.47^a
							(mm)	(1.26)	(1.27)	(0.54)	(1.41)	(1.36)	(0.93)
mVel AP	6.59	4.20	3.71	8.52^a	4.65^a	5.64^a
							(mm/s)	(1.83)	(0.97)	(1.83)	(2.81)	(0.98)	(3.04)

Upper table is the result of 124 normal personnel of actual measurement, in which: ML, AP respectively represent left and right and front-rear direction；EO, EC, which is represented, to open eyes and closes one's eyes；RMSD and mVel is respectively trajectory-based calculating parameter, RMSD full name root-mean-square Deviation, that is, root-mean-square-deviation, characterize the dispersion degree of data, and mVel is the average speed of track.In table, COP, Interp, Resi respectively indicate the original track COP, slow component track and fast component track in decomposition result, and subscript a is indicated The significance of difference (P < 0.05) between each each parameter eye opening of signal is closed one's eyes.We by closing one's eyes it can be found that separated by probation After the visual information for guaranteeing balance, increase, other than the increased variation of speed in addition to COP itself shakes range, slow component variation It is unobvious, and fast component variation is obvious, shaking amplitude and speed significantly increase, that is to say, that shaking degree after human body is closed one's eyes Raising the overwhelming majority be derived from fast component variations.This can illustrate to close one's eyes have no effect under human body midstance it is intrinsic Stability, but because it has separated visual information, human body transfers to keep standing balance by frequent attitude regulation.

Technical solution of the present invention and beneficial effect is described in detail in above-described specific embodiment, Ying Li Solution is not intended to restrict the invention the foregoing is merely presently most preferred embodiment of the invention, all in principle model of the invention Interior done any modification, supplementary, and equivalent replacement etc. are enclosed, should all be included in the protection scope of the present invention.

Claims

1. a human body standing shaking signal decomposition method, is characterized in that, the method comprises the following steps:

1) Use the test equipment to record the foot pressure center track COP(x, y) and the time mark sequence T, where x is the left and right direction coordinates, and y is the front and rear direction coordinates;

2) According to the known foot pressure center trajectory COP(x, y), the acceleration vector sequence Acc(xacc, yacc) of the trajectory motion and the corresponding time stamp sequence T are obtained, where xacc and yacc are the left and right and front and rear directions respectively. The acceleration component of ;

3) According to the acceleration vector sequence Acc(xacc, yacc) and its corresponding time stamp sequence T, calculate the minimum acceleration between two adjacent sampling points and its corresponding time stamp, and obtain the corresponding sequences Acc_interval and T_interval;

4) Set the acceleration threshold, filter the accelerations whose numerical value is less than the threshold in the sequence Acc_interval and their corresponding time labels, and obtain the corresponding time label sequence T_interp;

5) Interpolate and reconstruct the position of the original underfoot pressure center trajectory COP(x, y) at each moment in the label sequence T_interp to obtain the trajectory COP_interp(x_interp, y_interp) representing the passive slow movement, and the trajectory COP(x, y) ) and the difference between COP_interp(x_interp, y_interp) is the trajectory COP_resi(x_resi, y_resi) representing active rapid adjustment, where x_interp and x_resi are the positions of the trajectory in the left and right directions, and y_interp and y_resi are the trajectory in the front and rear directions. position on.

2. a kind of human body standing shaking signal decomposition method according to claim 1, is characterized in that, described step 1) specifically comprises following sub-step:

1.1) The test equipment includes a rectangular platform. Four pressure sensors are arranged on the four corners of the rectangular platform in the order of front left, rear left, rear right, and front right. The collected signals are w ₁ , w ₂ , w ₃ , w _4. The distance between the front and rear pressure sensors and the distance between the left and right pressure sensors are wd and lg respectively; the coordinates of the pressure center under the foot when the human body stands on the platform at the sampling time t _n :

x_instant=2·lg·(w ₁ +w ₂ -w ₃ -w ₄ )/(w ₁ +w ₂ +w ₃ +w ₄ )

y_instant=2·wd·(w ₁ -w ₂ -w ₃ +w ₄ )/(w ₁ +w ₂ +w ₃ +w ₄ )

1.2) After exponential smoothing, the coordinates COP_instant(x_instant, y_intant) of the immediate pressure center under the foot are calculated to obtain the coordinates of the sampling time t _n and record them in the trajectory COP(x, y). The calculation formula is as follows:

Among them, α is the smoothing coefficient, taking 0.2-0.4, (x _n-1 , y _n-1 ) and (x _n , y _n ) are the trajectory COP(x, y) at the time t _n-1 and t _n respectively coordinate of.

3. a kind of human body standing shaking signal decomposition method according to claim 1, is characterized in that, described step 2) specifically comprises following sub-step:

2.1) Perform Savitzky-Golay filtering processing on the left and right and front and rear directions of the coordinates of the trajectory COP(x, y) respectively;

2.2) Calculate the numerical gradient of each time with reference to the corresponding time mark T according to the left and right and front and rear directions of the filtered trajectory to obtain the velocity vector sequence Vel(xvel, yvel) of the trajectory;

2.3) Repeat the operations performed on the trajectory COP(x, y) in steps 2.1) and 2.2) for the velocity vector sequence Vel(xvel, yvel) to obtain the trajectory acceleration vector sequence Acc(xacc, yacc).

4. a kind of human body standing shaking signal decomposition method according to claim 1, is characterized in that, described step 3) specifically comprises following sub-step:

3.1) Calculate the two adjacent acceleration vectors Acc _n-1 (xacc _n-1 , yacc _n-1 ) and Acc _n (xacc _n , yacc _n ) at the time t _n-1 and t _n in Acc (xacc, yacc) The length h of the vertical line H connecting the end point to the common starting point of the two vectors is calculated as follows:

λ=(||Acc _n-1 ||+||Acc _n ||+||Acc _n-1 -Acc _n ||)/2

Among them, λ is an auxiliary parameter;

3.2) Calculate the distance from the vertical point of the vertical line H to the end points of the two vectors Acc _n-1 (xacc _n-1 , yacc _n-1 ) and Acc _n (xacc _n , yacc _n ) respectively, and the calculation formula is as follows:

Among them, α ₁ and α ₂ are the distances from the vertical point of the vertical line H to the end points of Acc _n-1 (xacc _n-1 , yacc _n-1 ) and Acc _n (xacc _n , yacc _n ), respectively, positive and negative represent the vertical Point position, when both are positive, it means that the vertical point is on the line connecting the two end points, if there is a negative value, it is on the reverse extension line of the corresponding line connecting the two end points;

3.3) If α ₁ ·α ₂ > 0, the acceleration represented by the vertical line is the minimum acceleration in the interval, the value is acc _min =h, and the corresponding time point is calculated, and the calculation formula is as follows:

If α ₁ ·α ₂ <0, then Acc _n-1 (xacc _n-1 , yacc _n-1 ) or Acc _n (xacc _n , yacc _n ) is the minimum acceleration in the interval, and the value of the minimum acceleration is determined after comparison acc _min and the corresponding time t _min ;

3.4) Repeat the above calculation for the adjacent acceleration vectors of the acceleration vector sequence Acc(xacc, yacc) to obtain the complete acceleration numerical sequence Acc_interval and the corresponding time T_interval.

5 . The method for decomposing a standing shaking signal of a human body according to claim 1 , wherein the acceleration threshold in the step 4) is 10-50 mm/s ² . 6 .

6. a kind of human body standing shaking signal decomposition method according to claim 1, is characterized in that, described step 5) specifically comprises following sub-step:

5.1) Calculate the position coordinates of the trajectory COP(x, y) at each moment in the time label sequence T_interp through cubic spline interpolation to form a discrete trajectory, denoted as COP_rough;

5.2) Calculate and connect COP_rough through cubic spline interpolation to obtain its position coordinates at the moment contained in the time label sequence T, forming a continuous trajectory, namely COP_interp(x_interp, y_interp);

5.3) Calculate COP_resi(x_resi,y_resi) according to the trajectory COP(x,y) and COP_interp(x_interp,y_interp), and the calculation formula is as follows:

Among them, COP_interp(x_interp, y_interp) is a passive slow-moving trajectory, and COP_resi(x_resi, y_resi) is an active fast-adjusting trajectory.

7. A balance ability detection device suitable for trajectory decomposition technology, characterized in that the detection device comprises: a medical DC stabilized power supply, a DC-DC isolation module, a voltage stabilizer module, a rectangular platform, a pressure sensor, and a signal analog processing module , Multi-channel signal synchronization AD module, microprocessor module and magnetic coupling isolation module;

The medical DC stabilized power supply, the DC-DC isolation module, and the voltage stabilizer module are connected in sequence;

The four corners of the rectangular platform are arranged with pressure sensors, and the four pressure sensors are respectively connected to the signal analog processing module for filtering and amplification, and then jointly connected to the multi-channel signal synchronization AD module;

The multi-channel signal synchronization AD module, the microprocessor module and the magnetic coupling isolation module are connected in sequence;

The DC-DC isolation module is connected with four pressure sensors; the voltage stabilization module provides stable voltage for the signal analog processing module, the multi-channel signal synchronous AD module, the microprocessor module and the magnetic coupling isolation;

The multi-channel signal synchronization AD module realizes signal sampling through input clamping protection, anti-aliasing filter, sample and hold amplifier and high-speed ADC, so as to ensure the synchronization of four channels of signals;

The microprocessor module is used to complete the recording, storage and uploading of the data obtained by AD sampling;

The magnetic coupling isolation module is used to realize the electrical isolation of the data acquisition circuit and the upstream port, so as to ensure the electrical safety of the medical data acquisition equipment.