CN105354429A - System and method for automatically analyzing health outlier via infrared medical image - Google Patents
System and method for automatically analyzing health outlier via infrared medical image Download PDFInfo
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- CN105354429A CN105354429A CN201510799135.3A CN201510799135A CN105354429A CN 105354429 A CN105354429 A CN 105354429A CN 201510799135 A CN201510799135 A CN 201510799135A CN 105354429 A CN105354429 A CN 105354429A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The invention relates to a system and a method for automatically analyzing a health outlier via an infrared medical image. The automatic analysis system comprises an infrared thermal imaging device, a health condition information input module, a cloud storage module, a health outlier analysis module and an infrared thermal state distribution image display module; the infrared thermal imaging device collects whole body thermal state temperature data of a user in real time and transmits the whole body thermal state temperature data to the cloud storage module to be stored; personal information of the user is input by the health condition information input module, and the input personal information of the user is transmitted to the cloud storage module to be stored; the cloud storage module transmits the whole body thermal state temperature data of the user, the personal information of the user and a pre-stored human body health outlier judgment standard to the health outlier analysis module; the health outlier analysis module compares and analyzes the whole body thermal state temperature data of the user to obtain a health outlier of the user; and the health outlier analysis module transmits the obtained health outlier of the user to the infrared thermal state distribution image display module to be displayed.
Description
Technical field
The invention belongs to infrared thermography analysis field, be specifically related to a kind of infrared medicine image health anomalies point automatic analysis system and method.
Background technology
Infrared thermal imaging uses photoelectric technology inspected object thermal-radiating infrared ray specific band signal, and this signal is converted to the image and figure that can differentiate for human vision, makes people can see the temperature distribution state of body surface.Infrared thermal imaging is applied to medical domain can help people's Timeliness coverage health abnormity point.
Modern society is on the rise along with Aging Problem, and the health problem that aging brings impels the serious hope of people to health service more and more fervent.Those skilled in the art in the practice of the invention, find, in prior art, following problem is existed to the analysis and evaluation of infrared thermal imaging result: 1) doctor assesses hot distribution plan, and assessment result exists uncertainty and the subjectivity of human factor; 2) batch user is when carrying out infrared detection, often because analysis and assessment workload is large, needs the time of several days or about one week just can obtain assessment report, and this and infrared thermal imaging present compared with human body state at that time seriously delayed; 3) user's often passive analyze accepting assessment report, can not transfer user well and pay close attention to healthy subjective initiative.
Summary of the invention
In order to solve the problems referred to above that prior art exists, the invention provides infrared medicine image health anomalies point automatic analysis system and method that a kind of user of convenience understands self health status in time.
The technical solution adopted in the present invention is: a kind of infrared medicine image health anomalies point automatic analysis system comprises infrared thermal imaging equipment, health information load module, cloud memory module, health anomalies point analysis module and infrared hot distributed image display module; The hot temperature data of whole body of described infrared thermal imaging equipment Real-time Collection user, and transmit described cloud memory module and store; By described health information load module input userspersonal information, the userspersonal information of input transfers to described cloud memory module and stores; Hot for the whole body of user temperature data, userspersonal information and the health abnormity point criterion that prestores all are transferred to described health anomalies point analysis module by described cloud memory module; The hot temperature data of the described whole body of health anomalies point analysis module to user is analyzed, and obtains the health anomalies point of user; The health anomalies of the user obtained point is transferred to described infrared hot distributed image display module and shows by described health anomalies point analysis module.
Further, described userspersonal information comprises individual essential information, personal illness past medical history and family history information, individual lifestyle's information and women's interrogation information; Described individual essential information comprises name, sex, age, height, body weight, marital status, professional nature, schooling and pressure; Described personal illness past medical history and family history information comprise hypertension, diabetes, coronary heart disease/angina pectoris, chronic bronchitis, hepatitis, mammary gland fibroma, the proliferation of mammary gland, fibroid, thyroid disorder, history of operation, allergies, roentgen radiation x history and other tumours; Described individual lifestyle's information comprises smoking, drinks, meals, motion, sleep and two just; Described women's interrogation information comprise menarche, menstrual period, menstruation state, through amount, menses color, menses quality, menstruation clot, row through after feel, menstrual period time breast and pass through time nipple.
Further, described infrared thermal imaging equipment adopts embedded in mobile phone infrared equipment, mobile telephone external infrared equipment or infrared thermography.
Further, the health abnormity point criterion prestored in described cloud memory module comprises the hot distribution of human normal; The temperature of superficial lymph knot region is asymmetric; Navel temperature, lip temperature, eye temperature abnormality; Histoorgan temperature is abnormal.
Further, the hot temperature data of the whole body of described cloud memory module to the user received stores, it is in the following ways: take pixel as least unit, human body is divided into hundreds thousand of pixels, marks and records the locus of each pixel place human body; Record the temporal information of the temperature of each pixel position of infrared thermal imaging equipment collection human body, the degree of depth and image data; According to the health anomalies point criterion that cloud memory module prestores, the temperature data of human body is concluded, for be above standard or the abnormity point be within the scope of particular values carries out special identifier.
Further, in described infrared medicine image health anomalies point automatic analysis system, be also provided with account login module, by account login module input user account information.
Further, also be provided with the APP client warm window that slides in described infrared medicine image health anomalies point automatic analysis system and check module, check that module is carried out slip to the health anomalies point in the image of infrared hot distributed image display module display and checked by the APP client warm window that slides.
Based on an infrared medicine image health anomalies point automatic analysis method for described automatic analysis system, it comprises the following steps: by account login module input user account information, carry out account login; Individual essential information, personal illness past medical history and family history information and individual lifestyle's information is inputted by health information load module; Input women interrogation information is also needed if user is women; Userspersonal information transfers to cloud memory module and stores; Gather the hot temperature data of whole body of user by infrared thermal imaging equipment, and transmit cloud memory module and store; The health that prestores in cloud memory module abnormity point criterion; Userspersonal information in health anomalies point analysis module reading cloud memory module, the hot temperature data of whole body of user and health abnormity point criterion; Health anomalies point analysis module, in conjunction with userspersonal information, is analyzed according to the hot temperature data of the whole body of health anomalies point criterion to user, obtains the health anomalies point of user; The health anomalies point of user transfers to infrared hot distributed image display module and shows, and checks that module is carried out slip and checked by the APP client warm window that slides.
Further, the hot temperature data of the whole body of health anomalies point analysis module to user is analyzed, its detailed process is: hot for the whole body of user temperature data and userspersonal information are comprehensively analyzed, and obtains the hot temperature integrated data of whole body of user; According to health anomalies point criterion, the normal hot distribution of user is compared, the temperature of the superficial lymph knot region of user is compared, navel temperature, lip temperature, eye temperature is compared respectively, the temperature of histoorgan is compared; Obtain the health anomalies point of user.
Owing to adopting above technical scheme, beneficial effect of the present invention is: the present invention is by arranging infrared thermal imaging equipment, health information load module, cloud memory module, health anomalies point analysis module and infrared hot distributed image display module, in conjunction with health abnormity point criterion, automatic analysis is carried out to the collection hot temperature data of user's whole body and userspersonal information, analysis result in time, accurately, the analysis result obtained is convenient to user and is checked, enable user understand the health anomalies point of self in time, specify the physical condition of self; There is good Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of infrared medicine image health anomalies point automatic analysis system of the present invention.
In figure: 1, infrared thermal imaging equipment; 2, health information load module; 3, cloud memory module; 4, health anomalies point analysis module; 5, infrared hot distributed image display module.
Embodiment
As shown in Figure 1, the invention provides a kind of infrared medicine image health anomalies point automatic analysis system, it comprises infrared thermal imaging equipment 1, health information load module 2, cloud memory module 3, health anomalies point analysis module 4 and infrared hot distributed image display module 5.The hot temperature data of whole body of infrared thermal imaging equipment 1 Real-time Collection user, and transmit cloud memory module 3 and store.Input userspersonal information by health information load module 2, the userspersonal information of input transfers to cloud memory module 3 and stores.Wherein, userspersonal information comprises the individual essential informations such as name, sex, age, height, body weight, marital status, professional nature, schooling, pressure, personal illness past medical history and the family history information such as hypertension, diabetes, coronary heart disease/angina pectoris, chronic bronchitis, hepatitis, mammary gland fibroma, the proliferation of mammary gland, fibroid, thyroid disorder, history of operation, allergies, roentgen radiation x history, other tumours, smoking, drink, meals, motion, sleep, two individual lifestyle's information such as just.In addition, for female user, userspersonal information also comprise menarche, menstrual period, menstruation state, through amount, menses color, menses quality, menstruation clot, row through after feel, menstrual period time breast, pass through time women's interrogation information such as nipple.Hot for the whole body of user temperature data, userspersonal information and the health abnormity point criterion that prestores all are transferred to health anomalies point analysis module 4 by cloud memory module 3.Health anomalies point analysis module 4, in conjunction with userspersonal information, is analyzed according to the hot temperature data of the whole body of health anomalies point criterion to user, obtains the health anomalies point of user; The health anomalies of the user obtained point is transferred to infrared hot distributed image display module 5 and shows by health anomalies point analysis module 4.
In above-described embodiment, infrared thermal imaging equipment 1 adopts embedded in mobile phone infrared equipment, mobile telephone external infrared equipment or infrared thermography.
In above-described embodiment, prestore in cloud memory module 3 following health abnormity point criterion:
1) the hot distribution of human normal;
The total feature of the hot distribution of human normal is that from the beginning to arrive four limbs both sides be symmetrical, wherein, women's head-ornaments and trunk the hottest, the distribution of four limbs heat reduces along with the increase of distance heart.Chest both sides temperature is mostly symmetrical, and on the left of chest, temperature is a little more than right side temperature, and the temperature of back midspinal line is higher than both sides temperature, and the temperature of lumbar vertebrae is the highest, is secondly the temperature of cervical vertebra.
2) temperature of superficial lymph knot region is asymmetric;
If the temperature under bilateral jaw, in supraclavicular fossa, armpit or groin is asymmetric, then judge that this place is healthy abnormity point.
3) navel temperature, lip temperature, eye temperature abnormality;
As too high in areola temperature, be then judged as overnutrition; Otherwise, be judged as malnutrition or fitness poor.If lip temperature is too high, be then judged as that abdominal organs has exception; Otherwise, be judged as that condition is tending towards low.If eye temperature is too high, be then judged as that eye eyesight has problem or is in stagnation of liver qi state.
4) histoorgan temperature is abnormal;
If chest abdomen regional temperature is too high, then there is function or pathological change in many reflections; Such as, if the regional temperature of esophagus or stomach is too high, then judge that esophagus or stomach have inflammation; If liver projection in zone temperature is too high, then judge hepatocellular damage; If middle lower abdomen pelvic region temperature is too high, then judge that enteron aisle, female pelvic cavity, women's uterine neck or male prostate have inflammation.
If chest abdomen regional temperature is too low, then usually prompt facility decline or and then there are some pathological changes; Such as, if heart projecting district temperature is too low, then myocardial ischemia is judged; If liver projection in zone temperature is too low, then judge fatty liver or cirrhosis; If middle lower abdomen pelvic cavity projection in zone temperature is too low, then judge the cold card of ovarian cyst or palace etc.
In above-described embodiment, the hot temperature data of the whole body of cloud memory module 3 to the user received stores, its in the following ways:
1) take pixel as least unit, human body is divided into hundreds thousand of pixels, mark and record the locus of each pixel place human body;
2) temporal information that infrared thermal imaging equipment 1 gathers the temperature of each pixel position of human body, the degree of depth and image data is recorded;
3) according to the health anomalies point criterion that cloud memory module 3 prestores, the temperature data of human body is concluded, for be above standard or the abnormity point be within the scope of particular values carries out special identifier.
In above-described embodiment, account login module is also provided with in infrared medicine image health anomalies point automatic analysis system of the present invention, by account login module input user account information, user enters in the infrared medicine image health anomalies point automatic analysis system of correspondence oneself, is convenient to the health anomalies point situation understanding self; In addition, be also convenient to carry out security management to the health anomalies point situation of each user.
In above-described embodiment, also be provided with the APP client warm window that slides in infrared medicine image health anomalies point automatic analysis system of the present invention and check module, check that the module health anomalies point be convenient in the image that user shows infrared hot distributed image display module 5 carries out slip and checks by the APP client warm window that slides.
Based on above-mentioned infrared medicine image health anomalies point automatic analysis system, present invention also offers a kind of infrared medicine image health anomalies point automatic analysis method, it comprises the following steps:
1) by account login module input user account information, account login is carried out.
2) individual essential information, personal illness past medical history and the userspersonal information such as family history information and individual lifestyle's information is inputted by health information load module 2; Input women interrogation information is also needed if user is women.Userspersonal information transfers to cloud memory module 3 and stores.
3) gathered the hot temperature data of whole body of user by infrared thermal imaging equipment 1, and transmit cloud memory module 3 and store.
4) prestore health abnormity point criterion in cloud memory module 3.
5) health anomalies point analysis module 4 reads userspersonal information in cloud memory module 3, the hot temperature data of whole body of user and health abnormity point criterion.
6) health anomalies point analysis module 4 is in conjunction with userspersonal information, and be analyzed according to the hot temperature data of the whole body of health anomalies point criterion to user, its detailed process is:
(1) hot for the whole body of user temperature data and userspersonal information are comprehensively analyzed, obtain the hot temperature integrated data of whole body of user;
(2) subitem comparison is carried out according to the hot temperature integrated data of the whole body of health anomalies point criterion to user; Namely the normal hot distribution of user is compared, the temperature of the superficial lymph knot region of user is compared, navel temperature, lip temperature, eye temperature is compared respectively, the temperature of histoorgan is compared; Obtain the health anomalies point of user.
7) the health anomalies point of user transfers to infrared hot distributed image display module 5 and shows, and checks that module is carried out slip and checked by the APP client warm window that slides.
Above-mentioned steps 2), step 3) and step 4) order can exchange.
The present invention is not limited to above-mentioned preferred forms; anyone can draw other various forms of products under enlightenment of the present invention; no matter but any change is done in its shape or structure; every have identical with the application or akin technical scheme, all drops within protection scope of the present invention.
Claims (9)
1. an infrared medicine image health anomalies point automatic analysis system, is characterized in that: it comprises infrared thermal imaging equipment, health information load module, cloud memory module, health anomalies point analysis module and infrared hot distributed image display module; The hot temperature data of whole body of described infrared thermal imaging equipment Real-time Collection user, and transmit described cloud memory module and store; By described health information load module input userspersonal information, the userspersonal information of input transfers to described cloud memory module and stores; Hot for the whole body of user temperature data, userspersonal information and the health abnormity point criterion that prestores all are transferred to described health anomalies point analysis module by described cloud memory module; The hot temperature data of the described whole body of health anomalies point analysis module to user is analyzed, and obtains the health anomalies point of user; The health anomalies of the user obtained point is transferred to described infrared hot distributed image display module and shows by described health anomalies point analysis module.
2. a kind of infrared medicine image health anomalies point automatic analysis system as claimed in claim 1, is characterized in that: described userspersonal information comprises individual essential information, personal illness past medical history and family history information, individual lifestyle's information and women's interrogation information; Described individual essential information comprises name, sex, age, height, body weight, marital status, professional nature, schooling and pressure; Described personal illness past medical history and family history information comprise hypertension, diabetes, coronary heart disease/angina pectoris, chronic bronchitis, hepatitis, mammary gland fibroma, the proliferation of mammary gland, fibroid, thyroid disorder, history of operation, allergies, roentgen radiation x history and other tumours; Described individual lifestyle's information comprises smoking, drinks, meals, motion, sleep and two just; Described women's interrogation information comprise menarche, menstrual period, menstruation state, through amount, menses color, menses quality, menstruation clot, row through after feel, menstrual period time breast and pass through time nipple.
3. a kind of infrared medicine image health anomalies point automatic analysis system as claimed in claim 1, is characterized in that: described infrared thermal imaging equipment adopts embedded in mobile phone infrared equipment, mobile telephone external infrared equipment or infrared thermography.
4. a kind of infrared medicine image health anomalies point automatic analysis system as claimed in claim 1, is characterized in that: the health abnormity point criterion prestored in described cloud memory module comprises the hot distribution of human normal; The temperature of superficial lymph knot region is asymmetric; Navel temperature, lip temperature, eye temperature abnormality; Histoorgan temperature is abnormal.
5. a kind of infrared medicine image health anomalies point automatic analysis system as claimed in claim 1, it is characterized in that: the hot temperature data of the whole body of described cloud memory module to the user received stores, it is in the following ways: take pixel as least unit, human body is divided into hundreds thousand of pixels, marks and record the locus of each pixel place human body; Record the temporal information of the temperature of each pixel position of infrared thermal imaging equipment collection human body, the degree of depth and image data; According to the health anomalies point criterion that cloud memory module prestores, the temperature data of human body is concluded, for be above standard or the abnormity point be within the scope of particular values carries out special identifier.
6. a kind of infrared medicine image health anomalies point automatic analysis system as described in claim 1 or 2 or 3 or 4 or 5, it is characterized in that: in described infrared medicine image health anomalies point automatic analysis system, be also provided with account login module, by account login module input user account information.
7. a kind of infrared medicine image health anomalies point automatic analysis system as described in claim 1 or 2 or 3 or 4 or 5, it is characterized in that: be also provided with the APP client warm window that slides in described infrared medicine image health anomalies point automatic analysis system and check module, check that module is carried out slip to the health anomalies point in the image of infrared hot distributed image display module display and checked by the APP client warm window that slides.
8., based on an infrared medicine image health anomalies point automatic analysis method for automatic analysis system described in any one of claim 1 ~ 7, it comprises the following steps:
By account login module input user account information, carry out account login;
Individual essential information, personal illness past medical history and family history information and individual lifestyle's information is inputted by health information load module; Input women interrogation information is also needed if user is women; Userspersonal information transfers to cloud memory module and stores;
Gather the hot temperature data of whole body of user by infrared thermal imaging equipment, and transmit cloud memory module and store;
The health that prestores in cloud memory module abnormity point criterion;
Userspersonal information in health anomalies point analysis module reading cloud memory module, the hot temperature data of whole body of user and health abnormity point criterion;
Health anomalies point analysis module, in conjunction with userspersonal information, is analyzed according to the hot temperature data of the whole body of health anomalies point criterion to user, obtains the health anomalies point of user;
The health anomalies point of user transfers to infrared hot distributed image display module and shows, and checks that module is carried out slip and checked by the APP client warm window that slides.
9. a kind of infrared medicine image health anomalies point automatic analysis method as claimed in claim 8, it is characterized in that: the hot temperature data of the whole body of health anomalies point analysis module to user is analyzed, its detailed process is: hot for the whole body of user temperature data and userspersonal information are comprehensively analyzed, and obtains the hot temperature integrated data of whole body of user; According to health anomalies point criterion, the normal hot distribution of user is compared, the temperature of the superficial lymph knot region of user is compared, navel temperature, lip temperature, eye temperature is compared respectively, the temperature of histoorgan is compared; Obtain the health anomalies point of user.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510799135.3A CN105354429A (en) | 2015-11-19 | 2015-11-19 | System and method for automatically analyzing health outlier via infrared medical image |
| CN201611034343.5A CN106446589A (en) | 2015-11-19 | 2016-11-16 | Automatic analyzing system and automatic analyzing method for abnormal points of infrared medical image |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510799135.3A CN105354429A (en) | 2015-11-19 | 2015-11-19 | System and method for automatically analyzing health outlier via infrared medical image |
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| CN105354429A true CN105354429A (en) | 2016-02-24 |
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| CN201510799135.3A Withdrawn CN105354429A (en) | 2015-11-19 | 2015-11-19 | System and method for automatically analyzing health outlier via infrared medical image |
| CN201611034343.5A Pending CN106446589A (en) | 2015-11-19 | 2016-11-16 | Automatic analyzing system and automatic analyzing method for abnormal points of infrared medical image |
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| CN201611034343.5A Pending CN106446589A (en) | 2015-11-19 | 2016-11-16 | Automatic analyzing system and automatic analyzing method for abnormal points of infrared medical image |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108392184A (en) * | 2018-02-26 | 2018-08-14 | 广州医仕博体育科技有限公司 | The method and device of health analysis is carried out using thermal infrared imaging technology |
| CN108769593A (en) * | 2018-06-05 | 2018-11-06 | 上海东巍体育科技有限公司 | A kind of teenager's body monitoring system and method based on thermal imaging |
| CN108937952A (en) * | 2018-06-05 | 2018-12-07 | 上海东巍体育科技有限公司 | A kind of the elderly's motion state detection system and method based on thermal imaging |
| CN111482974A (en) * | 2020-04-13 | 2020-08-04 | 广东技术师范大学 | Health detection robot |
| CN113724244A (en) * | 2021-09-14 | 2021-11-30 | 烟台艾睿光电科技有限公司 | Health monitoring method, device and system, health examination equipment and medium |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107595254B (en) * | 2017-10-17 | 2021-02-26 | 黄晶 | Infrared health monitoring method and system |
| CN113362957A (en) * | 2020-03-05 | 2021-09-07 | 深圳市人民医院 | Method and system for constructing infrared thermography analysis model |
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| CN1142511C (en) * | 2001-02-28 | 2004-03-17 | 清华大学 | Medical infrared heat image analysis method based on autoregressive slip mean spectrum analysis |
| CN101071475A (en) * | 2006-05-10 | 2007-11-14 | 航伟科技股份有限公司 | Body medical image organ geometric comparison detecting method |
| CN100543771C (en) * | 2006-05-10 | 2009-09-23 | 航伟科技股份有限公司 | Body local image automatic standardizing method |
| CN202821311U (en) * | 2012-05-18 | 2013-03-27 | 航伟科技股份有限公司 | Detector of human body temperature |
| CN103385734B (en) * | 2012-11-15 | 2016-08-24 | 广州呼研所红外科技有限公司 | Infrared thermal imagery is utilized to guide ultrasonic duplication check comprehensive diagnostic instrument and the detection method of this diagnostic apparatus |
| CN203506696U (en) * | 2013-07-09 | 2014-04-02 | 深圳市科瑞电子有限公司 | Wireless body temperature monitor system based on community intelligentized platforms |
| CN103735254A (en) * | 2014-01-20 | 2014-04-23 | 广州呼研所红外科技有限公司 | Triple-inspection comprehensive breast neoplasm diagnosis apparatus utilizing infrared thermography, guide pressure-sensitive palpation and ultrasonography and inspection method of apparatus |
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2015
- 2015-11-19 CN CN201510799135.3A patent/CN105354429A/en not_active Withdrawn
-
2016
- 2016-11-16 CN CN201611034343.5A patent/CN106446589A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108392184A (en) * | 2018-02-26 | 2018-08-14 | 广州医仕博体育科技有限公司 | The method and device of health analysis is carried out using thermal infrared imaging technology |
| CN108769593A (en) * | 2018-06-05 | 2018-11-06 | 上海东巍体育科技有限公司 | A kind of teenager's body monitoring system and method based on thermal imaging |
| CN108937952A (en) * | 2018-06-05 | 2018-12-07 | 上海东巍体育科技有限公司 | A kind of the elderly's motion state detection system and method based on thermal imaging |
| CN111482974A (en) * | 2020-04-13 | 2020-08-04 | 广东技术师范大学 | Health detection robot |
| CN113724244A (en) * | 2021-09-14 | 2021-11-30 | 烟台艾睿光电科技有限公司 | Health monitoring method, device and system, health examination equipment and medium |
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| CN106446589A (en) | 2017-02-22 |
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Application publication date: 20160224 |