CN-122004810-A - Method and system for non-contact physiological health detection

Abstract

The present disclosure relates to a non-contact physiological health detection method comprising providing a detection environment for a subject, the detection environment configured to enable non-contact measurements of the subject, acquiring an environmental characteristic dataset associated with the detection environment, acquiring a first physiological dataset corresponding to a resting state of the subject by means of the non-contact measurements, spraying a nebulized fluid to the subject, and acquiring a second physiological dataset of the subject by means of the non-contact measurements at least during the spraying, and inputting the environmental characteristic dataset, the first physiological dataset and the second physiological dataset to a pre-trained artificial intelligence model to determine a detection result for indicating a physiological health state of the subject.

Inventors

• LIU TUANFANG

Assignees

• 伊摩科技有限公司

Dates

Publication Date

20260512

Application Date

20260402

Claims (20)

1. 1. A non-contact physiological health detection method, comprising: providing a detection environment for a subject, the detection environment configured to enable non-contact measurements to be made on the subject; acquiring an environmental feature dataset associated with the detection environment; Acquiring a first physiological data set corresponding to a resting state of the subject by means of the non-contact measurement; Spraying a nebulized fluid onto a subject and, at least during said spraying, acquiring a second physiological data set of the subject by means of said non-contact measurement, and Inputting the environmental characteristic dataset, the first physiological dataset, and the second physiological dataset into a pre-trained artificial intelligence model to determine a test result indicative of a physiological health status of a subject, Wherein the temperature of the aerosolized fluid is defined by a currently selected detection mode selected from a preset plurality of detection modes, the temperature of the aerosolized fluid defined by the preset plurality of detection modes including a temperature above the body temperature of the subject and a temperature below the body temperature of the subject.
2. 2. The method of claim 1, further comprising: changing a condition in the detection environment and updating the environmental feature data set, wherein the condition in the detection environment comprises at least one of temperature, humidity, air pressure, illumination intensity, sound pressure level, ambient sound, airflow velocity, airflow direction.
3. 3. The method of claim 1 or 2, further comprising: providing a exercise apparatus within the detection environment for the subject to perform a preset exercise action and acquiring a third physiological data set corresponding to the exercise state of the subject by means of the non-contact measurement, and The third physiological data set is input to the artificial intelligence model to update the detection result.
4. 4. A method according to claim 3, wherein the preset athletic maneuver comprises a walking maneuver having a speed of no more than 5 km/h.
5. 5. A method according to claim 3, wherein the preset athletic maneuver comprises an act of maintaining a resting state, performing a walking maneuver with the aid of the exercise apparatus at a first average speed, performing a walking maneuver with the aid of the exercise apparatus at a second average speed higher than the first average speed, and stopping the movement performed by the subject in sequence.
6. 6. The method according to claim 1 or 2, wherein the preset plurality of detection modes comprises at least a first mode and a second mode, wherein, The first mode defining an aerosolized fluid temperature of 15-25 ℃, the first mode being adapted to cause vasoconstriction in a subject, and The second mode defines an aerosolized fluid temperature of 35 ℃ to 42 ℃, the second mode being adapted to cause vasodilation in the subject.
7. 7. The method of claim 1 or 2, further comprising: When a subject is identified as having any one of unstable heart disease, uncontrolled severe hypertension, severe arrhythmia, respiratory decompensation disease, history of syncope or epilepsy, acute infection, post-operative debilitation, high risk pregnancy, and medical diagnosis of exercise-prohibited signs, the subject is prohibited from entering the test environment.
8. 8. The method according to claim 1 or 2, further comprising monitoring real-time physiological data of the subject by means of the non-contact measurement, issuing an alarm message in case it is identified that the real-time physiological data meets a preset risk condition, The preset risk condition comprises at least one of sudden rise of heart rate, rapid decline of heart rate variability, continuous decrease of blood oxygen, respiratory disorder, abnormal body surface temperature, unstable pulse waveform and unbalanced posture.
9. 9. The method of claim 8, further comprising, in response to identifying that the real-time physiological data meets a preset risk condition, performing at least one of: Stopping spraying the nebulized fluid to the subject, stopping the movement of the subject, and restoring the detection environment to a safe state.
10. 10. The method of claim 1 or 2, further comprising identifying an emotional state of the subject based on the machine vision information, calibrating a dataset entered into the artificial intelligence model based on the identified emotional state.
11. 11. A non-contact physiological health detection system for performing the method according to any one of claims 1 to 10, the system comprising: A test pod adapted to house a subject to perform the test; an environmental measurement unit disposed within the detection chamber, the environmental measurement unit configured to sense an environmental condition within the detection chamber, and a non-contact measurement unit configured to perform non-contact measurements on a subject to obtain physiological data of the subject; a spray device disposed within the detection chamber configured to spray the nebulized fluid to the subject, and A controller electrically connected to the environmental measurement unit, the non-contact measurement unit, and the spray device, the controller operable to select among a preset plurality of detection modes, Wherein the controller is configured to: receiving an environmental characteristic dataset associated with an environmental condition within the detection chamber from the environmental measurement unit; receiving a first physiological data set corresponding to a resting state of a subject from the non-contact measurement unit; determining a nebulized fluid temperature according to a currently selected detection mode and controlling the spraying device to spray the nebulized fluid at the determined temperature to the subject and to receive a second physiological data set of the subject from the contactless measuring unit at least during the spraying, and The received environmental characteristic dataset, the first physiological dataset, and the second physiological dataset are input to a pre-trained artificial intelligence model to determine a test result indicative of a physiological health state of the subject.
12. 12. The system of claim 11, further comprising an environmental regulation module electrically connected to the controller, the environmental regulation module operable by the controller to change an environmental condition within the detection chamber, wherein the environmental condition within the detection chamber comprises at least one of temperature, humidity, air pressure, illumination intensity, sound pressure level, environmental sound, airflow flow rate, airflow direction.
13. 13. The system of claim 11 or 12, further comprising: a exercise machine disposed within the detection chamber, the exercise machine being usable by a subject to perform a preset exercise action; wherein during the subject performing the preset athletic maneuver, the controller is further configured to receive a third physiological data set corresponding to the subject's athletic status from the non-contact measurement unit and input the third physiological data set to the artificial intelligence model to update the detection result.
14. 14. The system of claim 13, wherein the exercise apparatus comprises a treadmill having an upper speed limit set to 5 km/h.
15. 15. The system of claim 11 or 12, wherein the spray device comprises a cold water spray unit and a hot water spray unit, the spray device being configured to spray a continuously variable temperature nebulized fluid to the subject.
16. 16. The system of claim 11 or 12, wherein the controller is further configured to prohibit a subject from entering the detection chamber when the subject is identified as having any one of an unstable heart disease, uncontrolled severe hypertension, severe arrhythmia, respiratory decompensation disease, syncope or epileptic history, acute infection, post-operative debilitation, high risk pregnancy, and medical diagnosis of motion-prohibited signs.
17. 17. The system of claim 11 or 12, wherein the non-contact measurement unit comprises at least one of an infrared thermal imaging sensor, a millimeter wave radar, a hyperspectral imaging sensor, a 3D gesture detection sensor.
18. 18. The system of claim 11 or 12, further comprising a vision sensor electrically connected to the controller, the vision sensor configured to collect machine vision information associated with a subject, Wherein the controller is further configured to receive the machine vision information from the vision sensor, identify an emotional state of a subject based on the machine vision information, and calibrate a dataset input to the artificial intelligence model based on the identified emotional state.
19. 19. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method according to any of claims 1 to 10.
20. 20. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method according to any of claims 1-10.

Description

Method and system for non-contact physiological health detection Technical Field The present disclosure relates to the field of medical detection. In particular, the present disclosure relates to a method of non-contact physiological health detection, a non-contact physiological health detection system, and corresponding computer readable storage medium and computer program product. Background In order to evaluate the physiological health status of a human body, the cardiopulmonary function and metabolic regulation ability of the human body can be tested during exercise with load. In these tests, in order to obtain vital sign data of a subject in a stressed state, a contact detection method is often adopted, for example, electrodes are stuck on the trunk surface, a sensing device is worn, and a breathing mask is worn. These detection methods objectively cause physical constraint on the subject, which is easy to cause stress of the subject and cause unnatural deviations of vital sign indexes such as heart rate and blood pressure, so that it may be difficult to obtain real sign data of the subject in a stress state. Furthermore, in order to test the physiological capability limits of the human body, a subject may be placed on a larger load, such as a larger exercise intensity. In these test scenarios, it is critical to ensure personal safety of the subject. Disclosure of Invention Professional athletes (e.g., cyclists or long-distance runners) often need to accurately measure their physiological indicators such as energy consumption and metabolic efficiency by wearing contact measurement devices such as electrocardiographic sheets, oxygen masks, etc., and evaluate their heart-lung endurance or oxygen intake level by means of a sport scenario with a large load. In recent years, a broader group of people such as fitness enthusiasts have begun to pay attention to their own physiological health function level. Therefore, a detection method capable of synchronously measuring various physiological indexes when a subject performs exercise with a certain load is needed. However, the conventional contact type measuring apparatus inevitably causes physical constraint to the human body, and easily induces stress or fear psychology of the general subject to cause measurement errors. In addition, since the equipment involved in such measurement means is complicated and the cost of the test consumables is high, it is difficult to effectively popularize the measurement means to the public. On the other hand, considering that there are large differences in physical quality, health condition and exercise ability among different individuals, if a large exercise load is applied for measuring physiological limits, serious safety accidents may be caused. In addition, the subject may be accompanied by various symptoms such as chronic diseases or sequelae related to exercise ability, so that the existing test method still has significant potential safety hazards in practical application. In order to solve the above-mentioned problems, the present disclosure provides a non-contact physiological health detection method and system, which monitors various physiological data indexes of a subject during exercise of the subject by a non-contact measurement means, and is helpful to provide a physiological health detection method with low cost, easy implementation and no sense of the subject. Considering that the difference of movement capability among different individuals is large, and considering safety, the disclosure also provides an environmental stress means for spraying atomized fluids with different temperatures to a subject by introducing a temperature-controlled atomized spray device as an environmental stress source so as to replace or indirectly realize the effect of high-intensity movement load. In other words, the subject need only perform a relatively low intensity exercise, and the physical stimulation by the environmentally applied aerosolized fluid may achieve a physiological load similar to that of a high intensity exercise without the subject actually performing the high intensity exercise. Specifically, the nebulized fluid above or below body temperature can be sprayed to the subject according to a preset detection mode, and physiological stress feedback of the subject, such as the relaxation or contraction of blood vessels, the respiratory rate, the shivering, the heart rate and other physiological index data changes, can be actively induced in a non-invasive manner. Because the temperature and flow parameters of the aerosolized fluid can be precisely defined and controlled by the system, the stimulus variables applied by the system are more objective and controllable than those applied by subjects subjectively controlling the intensity of motion. The technical means can effectively avoid the risk of acute personal safety possibly occurring when a subject performs high-intensity exercise, thereby realizing reliable ev