CN117653041B - Health state intelligent analysis system and method based on artificial intelligence - Google Patents
Health state intelligent analysis system and method based on artificial intelligence Download PDFInfo
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- CN117653041B CN117653041B CN202410085734.8A CN202410085734A CN117653041B CN 117653041 B CN117653041 B CN 117653041B CN 202410085734 A CN202410085734 A CN 202410085734A CN 117653041 B CN117653041 B CN 117653041B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4854—Diagnosis based on concepts of alternative medicine, e.g. homeopathy or non-orthodox
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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Abstract
An artificial intelligence based health status intelligent analysis system and method, comprising: the system comprises an artificial intelligent analysis module, a pulse sensor, a data storage module and a display module; the artificial intelligent analysis module is used for analyzing pulse information of the person to be tested and outputting health status; the pulse sensor is used for collecting pulse information of the person to be measured; the display module is used for displaying the prediction result of the health state; the artificial intelligence is applied to the analysis of the health state of the human body, so that the time and cost of a tester can be effectively saved, and the testing efficiency is improved.
Description
Technical Field
The invention relates to the field of medical appliances, in particular to an artificial intelligence-based health state intelligent analysis system and method.
Background
In real life, people cannot timely know the health state of the people because of reasons such as limited working time, difficulty of reserving doctors, high physical examination cost and the like. Artificial Intelligence (AI) is a technology for simulating human thinking and actions by using a modern tool such as a computer, and is applied to various aspects of production and life with the gradual progress of AI technology. Therefore, the artificial intelligence applied to the analysis of the health state of the human body can effectively solve the problems.
The method is characterized in that the pulse information is adopted to evaluate the health state of a human body, which is a common testing mode of traditional Chinese medicine, a film pressure sensor is adopted to measure the pulse information in the prior art, the film pressure sensor is adopted to fix the pulse information with a part to be tested of the human body in a sticking mode and the like, and the test data are inaccurate due to falling of test parts caused by vibration, movement and the like; in addition, the test part often does not have an energy-saving switch, and long-term power on causes resource waste and device aging, so that the test requirement cannot be met.
Disclosure of Invention
The invention provides an artificial intelligence-based health state intelligent analysis system and method.
An artificial intelligence based health status intelligent analysis system comprising: the system comprises an artificial intelligent analysis module, a pulse sensor, a data storage module and a display module; the artificial intelligence analysis module is electrically connected with the pulse sensor and the data storage module;
The artificial intelligence analysis module is used for analyzing pulse information of a person to be tested and outputting health status; the artificial intelligent analysis module comprises a prediction model, wherein the prediction model takes pulse information as an input layer and healthy state as an output layer, random forests, decision trees or neural networks are adopted to conduct prediction model training, and the trained prediction model is used for predicting the healthy state;
The pulse sensor is used for collecting pulse information of the person to be tested; the pulse sensor comprises an upper plate, a lower plate, an elastic support frame, a first limiting ring, a second limiting ring and a pressure sensing part; the upper plate and the lower plate are arranged in parallel; the first limiting ring and the second limiting ring are arranged between the upper plate and the lower plate; the lower side of the upper plate is provided with the first limiting ring; the upper side of the lower plate is provided with the second limiting ring; the first limiting ring and the second limiting ring are identical in size and are concentrically arranged, and a first gap is reserved between the first limiting ring and the second limiting ring; two elastic supporting frames are arranged between the upper plate and the lower plate and are used for connecting and supporting the upper plate and the lower plate; a pressure sensing module is arranged in the first limiting ring; the middle part of the lower plate is provided with a circular through hole, and the pressure sensing part passes through the circular through hole; a second gap exists between the pressure sensing part and the pressure sensing module; the second gap is smaller than the first gap;
The data storage module is used for storing training data and test process data of the prediction model;
The display module is used for displaying the prediction result of the health state.
Optionally, the acquired pulse information includes the rate, period, and waveform data of the pulse.
Optionally, the pulse sensor is fixed at the appointed position of the person to be measured through a watchband, an elastic band or a pull rope which can be adjusted in a telescopic way.
Optionally, the elastic support frame is a herringbone elastic support, and a herringbone leg is used for connecting the upper plate and the lower plate; the chevron-shaped head is provided with a pull ring for connecting an external force application member.
Optionally, the pressure sensing part comprises a contact, an elastic membrane and a feeler lever; the upper part of the contact is provided with the feeler lever, and the elastic membrane is connected between the edge of the contact and the circular through hole; the contact is hemispherical in shape, and the feeler lever is cylindrical in shape.
Optionally, the pressure sensing module comprises a pressure sensing layer, a packaging layer and a pressure sensing column; the packaging layers are arranged on the upper side and the lower side of the pressure sensing layer; the pressure sensing layer and the packaging layer are of annular structures; the outer rings of the pressure sensing layer and the packaging layer are connected with the inside of the first limiting ring, and the inner rings of the pressure sensing layer and the packaging layer are connected with the pressure sensing column; the pressure sensing layer is internally provided with pressure sensing resistors which are distributed in a zigzag manner along the inner part of the annular pressure sensing layer, and the two ends of the pressure sensing resistors are provided with a first electrode and a second electrode; the first electrode is connected with the pressure sensing column, and the second electrode is connected with the inside of the first limiting ring; the inside of encapsulation layer is provided with many elasticity and acts as go-between, elasticity is acted as go-between one end and is connected the pressure-sensitive post, the other end is connected the inside of first spacing ring.
Further, the first limiting ring, the pressure sensing column and the feeler lever are made of conductive metal materials; the second limiting ring is made of an insulating material; the upper part of the upper plate is provided with a circuit module, and the circuit module is electrically connected with the first limiting ring and the feeler lever.
An artificial intelligence based health status intelligent analysis method is implemented by adopting the artificial intelligence based health status intelligent analysis system, and the method comprises the following steps:
step 1, installing a pulse sensor to a designated part of a person to be tested;
Step 2, collecting pulse information of a person to be tested and transmitting the tested pulse data to an artificial intelligent analysis module;
Step 3, analyzing the health state of the person to be tested by the artificial intelligence analysis module through the prediction module;
And 4, displaying the health state of the testee by the display module.
Optionally, the pulse information of the subject is collected, including the pulse rate, period and waveform data.
Optionally, the method further comprises: and step 5, notifying the testee to seek medical attention in time when the display module displays that the health condition is abnormal, and generating test information to assist the doctor in diagnosis.
Compared with the prior art, the invention has the following technical effects:
1. The artificial intelligence is applied to the analysis of the health state of the human body, so that the time and cost of a tester can be effectively saved, and the testing efficiency is improved.
2. The pulse sensor is provided with a pre-stretching structure, so that poor contact or falling off caused by movement of a tester in the test process can be effectively prevented; a first gap exists between the first limiting ring and the second limiting ring, a second gap exists between the pressure sensing part and the pressure sensing module, the second gap is smaller than the first gap, the pressure sensing part and the pressure sensing module are in pre-contact before the first limiting ring is abutted with the second limiting ring, and weak contact force is applied to the pressure sensing module by the pressure sensing part after the first limiting ring is abutted with the second limiting ring, so that measurement errors caused by vibration are effectively prevented; the first limiting ring, the pressure sensing column and the feeler lever are made of conductive metal materials, and when the feeler lever contacts with the pressure sensing column, the conduction of a test circuit is realized, and the technical effect of energy conservation is realized.
Drawings
FIG. 1 is a schematic diagram of an artificial intelligence based health status intelligent analysis system according to an embodiment of the present invention;
FIG. 2 is a front view of a pulse sensor in an artificial intelligence based intelligent health analysis system according to an embodiment of the present invention;
FIG. 3 is an exploded view of a pulse sensor in an artificial intelligence based intelligent health analysis system according to an embodiment of the present invention;
FIG. 4 is a front view of a pressure sensing portion of a pulse sensor in an artificial intelligence based intelligent health status analysis system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a second stop collar of a pulse sensor in an artificial intelligence based health status intelligent analysis system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a first stop collar of a pulse sensor in an artificial intelligence based health status intelligent analysis system according to an embodiment of the present invention;
FIG. 7 is an exploded view of a pressure sensing module of a pulse sensor in an artificial intelligence based intelligent health status analysis system according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a packaging layer in a pressure sensing module of a pulse sensor in an artificial intelligence based health status intelligent analysis system according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a pressure sensing layer in a pressure sensing module of a pulse sensor in an artificial intelligence based health status intelligent analysis system according to an embodiment of the present invention;
Fig. 10 is a flowchart of an artificial intelligence based health status intelligent analysis method according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1-9, an embodiment of the present invention provides an artificial intelligence based health status intelligent analysis system, comprising: the system comprises an artificial intelligent analysis module 1, a pulse sensor 2, a data storage module 3 and a display module 4; the artificial intelligence analysis module 1 is electrically connected with the pulse sensor 2 and the data storage module 3;
The artificial intelligence analysis module 1 is used for analyzing pulse information of a person to be tested and outputting health status; the artificial intelligent analysis module 1 comprises a prediction model, wherein the prediction model takes pulse information as an input layer and healthy state as an output layer, random forests, decision trees or neural networks are adopted to conduct prediction model training, and the trained prediction model is used for predicting the healthy state;
The pulse sensor 2 is used for collecting pulse information of a person to be tested; the pulse sensor 2 comprises an upper plate 21, a lower plate 22, an elastic support frame 23, a first limiting ring 24, a second limiting ring 25 and a pressure sensing part 26; the upper plate 21 is disposed in parallel with the lower plate 22; the first limiting ring 24 and the second limiting ring 25 are arranged between the upper plate 21 and the lower plate 22; the lower side of the upper plate 21 is provided with the first limiting ring 24; the upper side of the lower plate 22 is provided with the second limiting ring 25; the first limiting ring 24 and the second limiting ring 25 are the same in size and are concentrically arranged, and a first gap exists between the first limiting ring 24 and the second limiting ring 25; two elastic supporting frames 23 are arranged between the upper plate 21 and the lower plate 22, and the elastic supporting frames 23 are used for connecting and supporting the upper plate 21 and the lower plate 22; a pressure sensing module 27 is arranged in the first limiting ring 24; a circular through hole is formed in the middle of the lower plate 22, and the pressure sensing part 26 passes through the circular through hole; a second gap exists between the pressure sensing part 26 and the pressure sensing module 27; the second gap is smaller than the first gap; the distance of the second gap is 0.1-1mm; the distance of the first gap is 0.2-1.1mm;
The data storage module 3 is used for storing training data and test process data of the prediction model;
the display module 4 is configured to display a prediction result of the health status.
Optionally, the acquired pulse information includes the rate, period, and waveform data of the pulse.
Optionally, when the display module 4 displays that the health condition is abnormal, the candidate is notified to seek medical attention in time, and test information is generated to assist the doctor in diagnosis.
Optionally, the pulse sensor 2 is fixed at a designated position of the person to be measured through a watchband, an elastic band, a pull rope or the like which can be telescopically adjusted; such as wrist, ankle, neck, etc.
Optionally, a wireless data transmission module is arranged inside the artificial intelligent analysis module 1, and the artificial intelligent analysis module 1 performs data exchange with an external smart phone, a cloud server and the like through the wireless data transmission module so as to provide personalized and real-time health monitoring and management according to the test result; in addition, the latest prediction model data can be updated in time.
Alternatively, as shown in fig. 2 to 3, the elastic support 23 is a herringbone elastic support, and herringbone "legs" are used for connecting the upper plate 21 and the lower plate 22; the chevron-shaped head is provided with a pull ring for connecting an external force application member.
Alternatively, the upper plate 21 and the lower plate 22 are both hard ceramic plates; the dimensions of the upper plate 21 and the lower plate 22 are 20mm×10mm×2mm (length, width, height).
Alternatively, as shown in fig. 4, the pressure sensing portion 26 includes a contact 261, an elastic membrane 262, and a contact rod 263; the upper part of the contact 261 is provided with the contact rod 263, and the elastic membrane 261 is connected between the edge of the contact 261 and the circular through hole; the contact 261 is hemispherical in shape and the contact rod 263 is cylindrical in shape.
Optionally, as shown in fig. 5, a support rod 252 and a guide ring 253 are disposed inside the second limiting ring 25, and the guide ring 253 is fixedly disposed in the middle of the second limiting ring 25 through the support rod 252; the limiting ring 253 is used for guiding the feeler lever 263, and the internal diameter of the limiting ring 253 is larger than the diameter of the feeler lever 263.
Alternatively, as shown in fig. 6-9, the pressure sensing module 27 includes a pressure sensing layer 271, an encapsulation layer 273, and a pressure sensing post 275; the encapsulation layer 273 is disposed on both the upper side and the lower side of the pressure-sensitive layer 271; the pressure sensing layer 271 and the encapsulation layer 273 have annular structures; the outer rings of the pressure sensing layer 271 and the packaging layer 273 are connected with the inside of the first limiting ring 24, and the inner rings of the pressure sensing layer 271 and the packaging layer 273 are connected with the pressure sensing column 275;
A voltage sensing resistor 272 is arranged in the voltage sensing layer 271, the voltage sensing resistor 272 is distributed in a zigzag manner along the inside of the annular voltage sensing layer 271, and a first electrode and a second electrode are arranged at two ends of the voltage sensing resistor 272; the first electrode is connected with the pressure sensing column 275, and the second electrode is connected with the inside of the first limiting ring 24; a plurality of elastic pull wires 274 are arranged in the packaging layer 273, one end of each elastic pull wire 274 is connected with the corresponding pressure sensing column 275, and the other end of each elastic pull wire 274 is connected with the inside of the corresponding first limiting ring 24;
Further, the first limiting ring 24, the pressure sensing post 275 and the contact rod 263 are made of conductive metal; the second limiting ring 25 is made of insulating material; the upper portion of the upper plate 21 is provided with a circuit module, and the circuit module is electrically connected with the first limiting ring 24 and the contact rod 263.
Further, the material of the encapsulation layer 273 is Polydimethylsiloxane (PDMS); the material of the pressure-sensitive layer 271 is Polyimide (PI); the pressure sensing resistor 272 is made of laser-induced graphene, and the preparation method of the pressure sensing resistor 272 is to carry out laser engraving on a base material PI through laser to form a patterned polygonal close-packed array; when the pressure-sensitive layer 271 is deformed, the pitch of the polygonal close-packed array inside the pressure-sensitive resistor 272 changes, and the resistance thereof changes.
The working principle of the pulse sensor is as follows: the pulse sensor is fixed at the appointed position of the person to be measured through a bracelet, an elastic rope or other fixed force application components, and the first limiting ring 24 and the second limiting ring 25 are abutted together through the application of tensile force, so that the pressure sensing part 26 is ensured to be always contacted with the human body, and the measurement precision of the pulse sensor is improved; a first gap exists between the first limiting ring 24 and the second limiting ring 25, a second gap exists between the pressure sensing part 26 and the pressure sensing module 27, the second gap is smaller than the first gap, the pressure sensing part 26 and the pressure sensing module 27 are in pre-contact before the first limiting ring 24 is abutted against the second limiting ring 25, and weak contact force is applied to the pressure sensing module 27 by the pressure sensing part 26 after the first limiting ring 24 is abutted against the second limiting ring 25, so that measurement errors caused by vibration are effectively prevented; the first limiting ring 24, the pressure sensing column 275 and the feeler lever 263 are made of conductive metal, and when the feeler lever 263 contacts with the pressure sensing column 275, the conduction of a test circuit is realized, and the technical effect of energy saving is realized.
As shown in fig. 10, an embodiment of the present invention provides an artificial intelligence based health status intelligent analysis method, which is implemented by using the artificial intelligence based health status intelligent analysis system, and includes:
step 1, installing a pulse sensor to a designated part of a person to be tested;
Step 2, collecting pulse information of a person to be tested and transmitting the tested pulse data to an artificial intelligent analysis module;
Step 3, analyzing the health state of the person to be tested by the artificial intelligence analysis module through the prediction module;
And 4, displaying the health state of the testee by the display module.
Optionally, the pulse information of the subject is collected, including the pulse rate, period and waveform data.
Optionally, the method further comprises: and step 5, notifying the testee to seek medical attention in time when the display module displays that the health condition is abnormal, and generating test information to assist the doctor in diagnosis.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (7)
1. An artificial intelligence based health status intelligent analysis system, the system comprising: the system comprises an artificial intelligent analysis module, a pulse sensor, a data storage module and a display module; the artificial intelligence analysis module is electrically connected with the pulse sensor and the data storage module;
The artificial intelligence analysis module is used for analyzing pulse information of a person to be tested and outputting health status; the artificial intelligent analysis module comprises a prediction model, wherein the prediction model takes pulse information as an input layer and healthy state as an output layer, random forests, decision trees or neural networks are adopted to conduct prediction model training, and the trained prediction model is used for predicting the healthy state;
The pulse sensor is used for collecting pulse information of the person to be tested; the pulse sensor comprises an upper plate, a lower plate, an elastic support frame, a first limiting ring, a second limiting ring and a pressure sensing part; the upper plate and the lower plate are arranged in parallel; the first limiting ring and the second limiting ring are arranged between the upper plate and the lower plate; the lower side of the upper plate is provided with the first limiting ring; the upper side of the lower plate is provided with the second limiting ring; the first limiting ring and the second limiting ring are identical in size and are concentrically arranged, and a first gap is reserved between the first limiting ring and the second limiting ring; two elastic supporting frames are arranged between the upper plate and the lower plate and are used for connecting and supporting the upper plate and the lower plate; a pressure sensing module is arranged in the first limiting ring; the middle part of the lower plate is provided with a circular through hole, and the pressure sensing part passes through the circular through hole; a second gap exists between the pressure sensing part and the pressure sensing module; the second gap is smaller than the first gap;
The data storage module is used for storing training data and test process data of the prediction model;
The display module is used for displaying the prediction result of the health state.
2. The system of claim 1, wherein the acquired pulse information includes pulse rate, period, and waveform data.
3. The system of claim 1, wherein the pulse sensor is secured to the designated location of the subject by a telescopically adjustable wristband, elastic strap, or drawstring.
4. The system of claim 1, wherein the resilient support is a chevron resilient support, chevron "legs" for connecting the upper plate and the lower plate; the chevron-shaped head is provided with a pull ring for connecting an external force application member.
5. The system of claim 1, wherein the pressure sensing portion comprises a contact, an elastic membrane, and a feeler lever; the upper part of the contact is provided with the feeler lever, and the elastic membrane is connected between the edge of the contact and the circular through hole; the contact is hemispherical in shape, and the feeler lever is cylindrical in shape.
6. The system of claim 5, wherein the pressure sensing die comprises a pressure sensing layer, an encapsulation layer, and a pressure sensing post; the packaging layers are arranged on the upper side and the lower side of the pressure sensing layer; the pressure sensing layer and the packaging layer are of annular structures; the outer rings of the pressure sensing layer and the packaging layer are connected with the inside of the first limiting ring, and the inner rings of the pressure sensing layer and the packaging layer are connected with the pressure sensing column; the voltage sensing layer is internally provided with voltage sensing resistors which are distributed in a zigzag manner along the inside of the voltage sensing layer, and the two ends of the voltage sensing resistors are provided with a first electrode and a second electrode; the first electrode is connected with the pressure sensing column, and the second electrode is connected with the inside of the first limiting ring; the inside of encapsulation layer is provided with many elasticity and acts as go-between, elasticity is acted as go-between one end and is connected the pressure-sensitive post, the other end is connected the inside of first spacing ring.
7. The system of claim 6, wherein the first stop collar, the pressure sensing post, and the feeler lever are of a conductive metal material; the second limiting ring is made of an insulating material; the upper part of the upper plate is provided with a circuit module, and the circuit module is electrically connected with the first limiting ring and the feeler lever.
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| CN101299958A (en) * | 2005-09-29 | 2008-11-05 | 康曼德公司 | Sensor holder |
| CN113348427A (en) * | 2018-11-08 | 2021-09-03 | 加利福尼亚大学董事会 | Soft capacitance type pressure sensor |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20090001752A (en) * | 2007-05-17 | 2009-01-09 | (주)유틸리온 | Patient real-time management system using patient band with sensor-sensitive RDF tag |
| KR20180074558A (en) * | 2016-12-23 | 2018-07-03 | 한동호 | Band type medical device, and smartphone app working with this medical device |
| CN209770348U (en) * | 2019-01-09 | 2019-12-13 | 上海正太网络科技有限公司 | artificial intelligence health detector |
| CN213129694U (en) * | 2020-06-30 | 2021-05-07 | 梧州市人民医院 | Intelligent artery compressor |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101299958A (en) * | 2005-09-29 | 2008-11-05 | 康曼德公司 | Sensor holder |
| CN113348427A (en) * | 2018-11-08 | 2021-09-03 | 加利福尼亚大学董事会 | Soft capacitance type pressure sensor |
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