TWI613993B - Telehealth care system and method using thermal imaging - Google Patents

Abstract

The present invention provides a thermal imaging remote care system that is electrically coupled to a remote care station and used to monitor the status of a patient, including an infrared camera, an image processing module, and a respiratory analysis module. By analyzing the temperature data of the thermal image taken by the infrared camera and generating a breathing curve to determine whether the patient has a respiratory abnormality.

Description

Thermal imaging remote care system and method

The present invention relates to a thermal imaging type far-end care system and method. More specifically, the present invention is a method for analyzing whether a patient has a respiratory abnormality by analyzing temperature data of an image taken by an infrared camera. End care system and method.

At present, the traditional respiratory measuring device measures the frequency and frequency of breathing by measuring the direction, velocity and quality of the air in and out through the respiratory mask installed at the nose. However, in many cases, it is not appropriate to apply a nasal mask to the face to measure the number of breaths. The use of a conventional ventilator will cause a lot of inconvenience, such as when there is severe trauma to the face and the use of a respiratory mask increases the chance of infection. In addition, the traditional respiratory meters currently used in hospitals are too expensive and not suitable for home care environments.

In addition, in hospitals, ward management and care of patients is often the main job of nursing staff. Therefore, medical personnel usually need to patrol the room for a certain period of time to see that the patient has no abnormalities. However, this method is a passive patrol room management service. When the patient has a respiratory abnormality and other situations that require urgent treatment, it is difficult for medical personnel. Immediate discovery, or the discovery of reprocessing time will be too long or too late, so it is easy to miss the golden time of disposal.

Moreover, it is difficult for medical staff to record the time of occurrence of a respiratory abnormality when the patient sleeps. When the medical staff is busy taking care of the patient, it undoubtedly increases the burden on the medical staff, thus greatly reducing the risk for each patient. The quality of medical care, and if the medical staff does not file the situation of each patient, it is more difficult for doctors to track the condition of each patient.

At present, the remote care system needs to identify various parts of the human body, such as human body recognition or face recognition, so the system specifications are high, and it takes time and a large amount of system resources to identify the image. In view of the above problems, there is an urgent need for a remote care system that can automatically detect when an event occurs, digitize the medical record, and proactively notify the event.

In view of the above problems, the present invention provides a thermal imaging remote care system electrically connected to a remote care station and used to monitor the state of a patient, including an infrared camera, an image processing module, and a respiratory analysis module. group. An infrared camera is placed on the peripheral side of the patient and is configured to capture a thermal image of an area of interest associated with the patient. The image processing module is electrically connected to the infrared camera and receives the thermal image, and converts the thermal image into temperature data, and the temperature data defines the temperature-to-position relationship in the region of interest. The respiratory analysis module is electrically connected to the image processing module and configured to sample a temperature in the key interest region of the predetermined temperature range from the temperature data, and determine whether the absolute value of the temperature to time change rate in the key interest region is lower than The lower limit of temperature change rate is predetermined, and if so, the breath analysis module generates a first event alert associated with the patient and communicates to the remote care station. If the respiratory analysis module determines that the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate lower limit, the respiratory analysis module further determines whether the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate upper limit, and if so, The respiratory analysis module generates a second event alarm associated with the patient and transmits to the remote care station, and if not, the respiratory analysis module is directed to a temperature between an upper limit of the predetermined temperature change rate and a lower limit of the predetermined temperature change rate. Sampling the change in time to obtain a breathing curve, and determining whether the respiratory rate of the breathing curve is normal. If it is determined that the breathing is abnormal, the respiratory analysis module generates a third event alarm associated with the patient and transmits it to the remote care station. .

Preferably, the rate of change of temperature versus time is the amount of temperature change over a time interval divided by the time interval, and the time interval is less than the respiratory rate of the patient.

Preferably, the predetermined temperature range may include at least one of the range of body temperature changes of the patient within the day.

Preferably, the region of interest may include the head of the patient, the first event alert is an emergency alert, the second event alert is a potential respiratory abnormality alert, and the third event alert is a respiratory abnormality alert.

Preferably, the remote care station may further comprise a database for storing the first event alarm, the second event alarm and the third event alarm occurrence time, and the corresponding first event alarm, the second event alarm and the third event alarm. Each temperature data.

Another object of the present invention is to provide a thermal imaging distal care method suitable for use in the aforementioned thermal imaging remote care system, the method comprising the steps of: photographing an area of interest associated with a patient with an infrared camera Thermal image; the image processing module receives the thermal image, and converts the thermal image into temperature data, the temperature data defines the relationship between the temperature and the position in the region of interest; and the key of the sampling temperature of the respiratory analysis module from the temperature data in the predetermined temperature range Interest area; configure the breathing analysis module to determine whether the absolute value of the temperature-to-time change rate in the key interest area is lower than the predetermined temperature change rate lower limit; if the respiratory analysis module determines the critical interest area, the temperature-to-time change rate The absolute value is lower than the lower limit of the predetermined temperature change rate, and the respiratory analysis module generates a first event alarm associated with the patient and transmits it to the remote care station; if the respiratory analysis module determines that the absolute rate of change of temperature versus time is higher than When the lower limit of the temperature change rate is predetermined, the respiratory analysis module further determines the rate of change of temperature versus time. Value is higher than a predetermined temperature change rate limit; If the absolute value of the time variation rate of the breath analysis module determines the upper limit temperature is higher than a predetermined temperature change rate, the respiration analysis module generates second thing associated with the patient The alarm is transmitted to the remote care station; if the respiratory analysis module determines that the absolute value of the temperature-to-time change rate is lower than the predetermined temperature change rate upper limit, the respiratory analysis module is directed to the upper limit of the predetermined temperature change rate and the predetermined temperature change rate. The temperature between the lower limits is sampled to obtain a breathing curve; the respiratory analysis module is configured to determine whether the respiratory rate of the breathing curve is normal, and if it is determined that the breathing is abnormal, the respiratory analysis module generates a third associated with the patient. The event is alerted and transmitted to the remote care station.

Preferably, the rate of change of temperature versus time can be the amount of temperature change in the time interval divided by the time interval, and the time interval is less than the respiratory rate of the patient.

Preferably, the predetermined temperature range may include at least one of the range of body temperature changes of the patient within the day.

Preferably, the region of interest may include the head of the patient, the first event alert may be an emergency alert, the second event alert may be a potential respiratory abnormality alert, and the third event alert may be a respiratory abnormality alert.

Preferably, the remote care station may further comprise a database for storing the first event alarm, the second event alarm and the third event alarm occurrence time, and the corresponding first event alarm, the second event alarm and the third event alarm. Each temperature data.

In summary, with the thermal imaging type far-end care system and method of the present invention, the respiratory mask can be used to detect the patient's breathing, and the temperature data of the thermal image can be analyzed by using at least the computer system resources. And generate a breathing curve to actively detect the patient's respiratory abnormality, and then promptly notify the medical staff to handle. In addition, it does not require time and a large amount of system resources to face recognition of images. In addition to eliminating the labor of medical staff, it can also perform automated pathological analysis, digital medical records and automatic archiving to help doctors understand the treatment effect and disease development. Further improve the quality of medical care.

1‧‧‧ Thermal imaging remote care system

10‧‧‧Infrared Thermal Imager

11‧‧‧Infrared sensor

12‧‧‧Image Processing Module

14‧‧‧ Breathing analysis module

16‧‧‧ patients

18‧‧‧Remote care station

20‧‧‧ processor

22‧‧‧Database

24‧‧‧ medical staff

25‧‧‧Portable device

26‧‧‧Wireless base station

R‧‧‧change rate

SROIC‧‧‧Key Interest Area

SROIF‧‧ Changed Area

STmin‧‧‧ minimum temperature point

STmax‧‧‧ highest temperature point

Temparea‧‧‧zone temperature

Temppixel‧‧‧ pixel temperature

Tlower‧‧‧Predetermined temperature change rate lower limit

Tupper‧‧‧Predetermined temperature change rate upper limit

TROI‧‧‧Detection time

LN*MN, Li*Mi‧‧‧ pixel area

X0, y0‧‧‧ coordinates

△T‧‧‧temperature difference

△tp‧‧‧ time interval

S701-S712‧‧‧Steps

The above and other features and advantages of the present invention will become more apparent from the detailed description of the exemplary embodiments of the accompanying drawings in which: FIG. 1 is a thermal imaging remote care system according to the present invention. A block diagram of the first embodiment.

Figure 2A is a schematic illustration of a thermal imaging of a thermal imaging remote care system in accordance with the present invention.

Figure 2B is a three-dimensional representation of the temperature data generated by the thermal imaging remote care system in accordance with the present invention for thermal imaging.

2C is a schematic diagram of regional temperature sampling of pixels of a thermal image in accordance with the thermal imaging remote care system of the present invention.

Figure 3 is a schematic illustration of the thermal imaging of a thermal imaging remote care system in accordance with the present invention.

Figure 4 is a graph of temperature vs. time for temperature data analysis of a thermal imaging remote care system in accordance with the present invention.

Figure 5 is a graph of temperature and temperature change rate versus time for temperature data analysis of a thermal imaging remote care system in accordance with the present invention under normal breathing conditions.

Figure 6 is a graph of temperature and temperature change rate vs. time for temperature data analysis of a thermal imaging remote care system in accordance with the present invention in the event of an abnormal respiratory event.

Figure 7 is a flow chart showing an embodiment of a thermal imaging distal care method in accordance with the present invention.

The technical features, contents, and advantages of the present invention, as well as the advantages thereof, can be understood by the present inventors, and the present invention will be described in detail with reference to the accompanying drawings. The subject matter is only for the purpose of illustration and description. It is not intended to be a true proportion and precise configuration after the implementation of the present invention. Therefore, the scope and configuration relationship of the attached drawings should not be interpreted or limited. First described.

As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. When the phrase "at least one of" is preceded by a list of elements, the entire list of elements is modified instead of the individual elements in the list.

Please refer to FIG. 1, which is a block diagram of a first embodiment of a thermal imaging distal care system in accordance with the present invention. As shown, a thermal imaging distal care system 1 is provided that is electrically coupled to the distal care station 18 and that is used to monitor the status of the patient 16. The thermal imaging remote care system 1 includes an infrared camera 10, an image processing module 12, and a respiratory analysis module 14. The infrared sensor 11 of the infrared camera 10 can be disposed on the peripheral side of the patient and configured to capture thermal images within the region of interest SROI _T associated with the patient. The image processing module 12 is connected to the infrared camera 10 and receives the thermal image, and converts the thermal image into temperature data, which defines the relationship between the temperature and the position in the region of interest. An example of this will be matched with the second and second panels. Detailed description.

The respiratory analysis module 14 is electrically coupled to the image processing module 12 and configured to sample a critical region of interest SROI _C having a temperature within a predetermined temperature range from the temperature data. Preferably, the image processing module 12 and the respiratory analysis module 14 can be a central processing unit (CPU), a microprocessor, and a network processor (NP: Network Processor). The microcontroller, or a semiconductor integrated circuit (IC) having a dedicated function, may be provided separately or may share the same processor.

Please refer to FIG. 2A and FIG. 2B , which are respectively a schematic diagram of sampling of thermal images by the thermal imaging type far-end care system according to the present invention and a three-dimensional diagram of temperature data generated for thermal images.

In general, since all objects with temperatures above absolute zero (about -273 ° C) will generate infrared radiant heat due to their molecular motion. The infrared camera 10 can convert radiant energy (for example, infrared light having a wavelength of 8 micrometers to 12 micrometers) that cannot be seen by the human eye into electrical signals, and display different temperature distributions in various colors to make the entire temperature The distribution status is displayed as a thermal image. As shown in the figure, the image processing module 12 can divide the entire region of interest SROI _T into a plurality of pixel regions in a two-dimensional distribution. For example, the entire thermal image can be divided into L by the X axis and the Y axis. _N * M _N pixel regions, in which the region can be analyzed for a specific region, such as Li * Mi pixels in the figure, and the (x ₀ , y ₀ ) pixel in the figure can have temperature information in the pixel Corresponding to the position coordinates (x ₀ , y ₀ ).

In addition, through the generated thermal image, according to the temperature data of each pixel, a three-dimensional schematic diagram as shown in FIG. 2B can be generated, and the image processing module 12 can quickly detect the entire temperature surface and identify the highest temperature point ST _max and the minimum. Temperature point ST _min for qualitative and quantitative analysis of temperature.

Please refer to FIG. 2C for a schematic diagram of regional temperature sampling of pixels of a thermal image according to the thermal imaging remote care system of the present invention. Specifically, the pixel temperature Temp _{pixel of} each pixel in the system preset detection time TROI can be expressed as

Where t is time, k is a positive integer greater than 0, n is the time interval Δt _p of the sampling, the total number of detected temperatures, Tempk(t) is located at the corresponding pixel position (x _i , y _i ), The temperature detected at time t. Therefore, the region temperature Temp _area corresponding to the above-described temperature detection for the specific pixel region L _S × M _S can be expressed as

Where i, j, k are positive integers greater than 0, L _S ≦ L _N , M _S ≦ M _N , when L _S = M _S =1, the region temperature Temp _area = pixel temperature Temp _pixel . Therefore, the user can adjust the size of the individual pixels according to the resolution of the thermal image, the number of detections per unit time of the infrared camera, and the processing power of the system, so as to further reduce the use of system resources and the burden on the system, and can also be improved. System processing speed.

Please refer to FIG. 3, which is a schematic diagram of sampling of thermal images by the thermal imaging remote care system according to the present invention. As shown, in order to detect a respiratory abnormality, the region of interest SROI _T must contain at least the patient's head, preferably the nose and its surrounding area. Meanwhile, in order to reduce the burden on the system, and determine the location where the human body, breath analysis module 14 may be a key area of interest removed SROI _C temperature within a predetermined temperature range is configured from the region of interest in the SROI _T. Here, the predetermined temperature range may include at least one range of the body temperature change of the patient, preferably, the highest temperature point ST _max to the lowest temperature point ST _{max -ΔT} of the patient's daily skin temperature, and the temperature difference ΔT is slightly It is larger than the daily body temperature variation range of the patient, for example, about 1.8 ° C, but is not limited thereto. Predictably, when a respiratory abnormality occurs, a variable temperature region SROI _F in the critical interest region SROI _C appears, and is also an area that must be detected.

Please refer to FIG. 4, which is a graph of temperature versus time for temperature data analysis of the thermal imaging remote care system in accordance with the present invention. Following the above figure, after obtaining the temperature data of the key interest area SROI _C , the breathing analysis module 14 may first determine whether the absolute value of the temperature-to-time change rate R in the key interest area SROI _C is lower than the predetermined temperature change rate lower limit T. _Lower . Are preferred, the time rate of change of temperature may be a temperature change amount t _p divided within the time interval t _p is the time interval △ △. In order to detect the breathing interval, the time interval Δt _p needs to be much smaller than the patient's breathing interval. Preferably, for adults, the respiratory rate is about 10-15 times per minute, and for babies 20 to 50 times per minute. In other words, two curves can be seen from the figure, one is the temperature of the key interest area of the key interest area SROI _C versus time, and the other is the temperature of the variable area of the variable area SROI _F versus time. Therefore, the respiratory analysis module 14 can ensure the patient whether the absolute value of the temperature-to-time change rate R of each pixel in the key interest region SROI _C is lower than the predetermined lower temperature change rate lower limit T _lower during a monitoring period. Still breathing. If the respiratory analysis module 14 determines that the critical interest region SROI _C , the absolute value of the temperature-to-time change rate R is lower than the predetermined temperature change rate lower limit T _lower , indicating that the patient may stop breathing, and the respiratory analysis module 14 generates the patient. The associated emergency alert is transmitted to the remote care station 18.

In other words, if the respiratory analysis module 14 determines that the absolute value of the temperature-to-time change rate R is higher than the predetermined temperature change rate lower limit T _lower , it is further determined whether the absolute value of the temperature-to-time change rate R is higher than a predetermined temperature change. The upper limit of the upper limit T _upper , if the respiratory analysis module 14 determines that the absolute value of the rate of change of temperature versus time is higher than the upper limit of the predetermined temperature change rate T _upper , which represents that the patient may have a short interval of breath, which may be a potential respiratory abnormality, then the respiratory analysis The module 14 generates a potential respiratory abnormality alarm associated with the patient 16 and transmits it to the remote care station 18.

Please refer to FIG. 5, which is a graph of temperature and temperature change rate versus time for temperature data analysis of the thermal imaging type far-end care system according to the present invention under normal breathing conditions. As shown in the figure, if the respiratory analysis module 14 determines that the absolute value of the temperature-to-time change rate R is lower than the predetermined _upper temperature change rate upper limit T _upper , the respiratory analysis module 14 may further target the predetermined temperature change rate upper limit and the predetermined temperature. The temperature between the lower limit of the rate of change is sampled to obtain a plot of the temperature change rate R versus time for the breathing curve and the corresponding breathing curve. After sampling, the normal breathing curve as shown in the figure can be obtained under normal breathing conditions of the patient. After obtaining the breathing curve, the breathing analysis module 14 can be configured to determine whether the breathing frequency of the breathing curve is normal. The determining method can adopt the peak determining method to determine whether the consistency of each time interval is consistent by obtaining the time interval between the two peaks. Within the error range, if it is, it is a normal breathing situation, otherwise it is a breathing abnormal situation.

Please refer to FIG. 6 , which is a graph of temperature and temperature change rate versus time for temperature data analysis of the thermal imaging type far-end care system according to the present invention when an abnormal respiratory event occurs. When the patient is in a breathing abnormal situation, an abnormal breathing curve can be obtained, wherein the temperature change curve is extremely irregular. Therefore, the breathing analysis module 14 is configured to determine whether the breathing frequency of the breathing curve is normal, and if the abnormality is similar If the breathing curve is determined to be a breathing abnormality, the breathing analysis module 14 generates a breathing abnormality confirmation alarm associated with the patient and transmits it to the distal care station 18.

With the above system design, a corresponding alarm can be generated according to the different breathing conditions of the patient. In the above embodiment, the remote care station 18 can include the processor 20 and the database 22, and can be configured with a general computer system PC. The purpose is that when an abnormal breathing event occurs, the remote care station 18 can record the event in the patient's medical record in the database 22 through the processor 20, and generate a warning to notify the medical staff 24 through the general computer system PC. The wireless base station 26 transmits the alarm to the portable device 25 carried by the medical staff 24, such as a mobile phone or a tablet, so as to notify the medical staff 24 remotely, in addition to eliminating the labor of the medical staff, the digital medical record and automatic filing can also be performed. It can also observe the patient's breathing situation for a long time, which can help the doctor to understand the treatment effect and the development of the disease, and further improve the quality of medical care.

The steps of the thermal imaging distal care method of the present invention will now be described with reference to the accompanying drawings. Please refer to FIG. 7, which is a flow chart of an embodiment of a thermal imaging remote care method according to the present invention.

An embodiment of the thermal imaging distal care method according to the present invention is applicable to the thermally inductive distal care system of the foregoing embodiments, and the method may comprise the following steps:

Step S701: aligning the upper body of the patient with an infrared camera;

Step S702: capturing a thermal image of the region of interest by using an infrared camera;

Step S703: converting the thermal image into temperature data by using the image processing module;

Step S704: The respiratory analysis module samples the temperature from the temperature data in a key interest area of the predetermined temperature range;

Step S705: determining whether the absolute value of the temperature-to-time change rate is lower than the predetermined temperature change rate lower limit. If not, proceeding to step S706, configuring the respiratory analysis module to determine whether the absolute value of the temperature-to-time change rate is higher than a predetermined value. The upper limit of the temperature change rate, if yes, proceeds to step S709, generates an emergency alert and transmits to the remote care station, and then proceeds to step S712, where the remote care station records the occurrence of the event and dispatches the staff to process;

Step S706: configuring the respiratory analysis module to determine whether the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate upper limit, and if yes, proceeding to step S710 to generate a potential respiratory abnormality alarm and transmitting to the remote care station, if not Then, the process proceeds to step S707, and the breathing curve of the patient is generated and analyzed to obtain the respiratory rate.

Step S708: configuring the respiratory analysis module to determine whether the respiratory frequency of the breathing curve is normal, and if yes, returning to step S704, continuing to sample the temperature in the critical interest region of the predetermined temperature range from the temperature data by the respiratory analysis module, if not, Then, proceeding to step S711, a respiratory abnormality confirmation alarm is generated and transmitted to the remote care station.

Step S712: After receiving the above-mentioned respiratory abnormality alarm, the remote care station records the occurrence time of the respiratory abnormality event through the database, and dispatches the staff to dismiss the emergency report. Then, returning to step S704, the respiratory analysis module continues to sample the key interest region of the temperature within the predetermined temperature range from the temperature data.

In summary, the thermal imaging type remote care system and method of the present invention eliminates the need for a respiratory mask and can analyze the temperature of the thermal image while using at least the resources of the computer system. The material is generated and a breathing curve is generated to actively detect the abnormal breathing event of the patient, and then promptly notify the medical staff for treatment. In addition, it does not require time and a large amount of system resources to face recognition of images. In addition to eliminating the labor of medical staff, it can also perform automated pathological analysis, digital medical records and automatic archiving to help doctors understand the treatment effect and disease development. Further improve the quality of medical care.

1‧‧‧ Thermal imaging remote care system

10‧‧‧Infrared Thermal Imager

11‧‧‧Infrared sensor

12‧‧‧Image Processing Module

14‧‧‧ Breathing analysis module

16‧‧‧ patients

18‧‧‧Remote care station

20‧‧‧ processor

22‧‧‧Database

24‧‧‧ medical staff

25‧‧‧Portable device

26‧‧‧Wireless base station

Claims (10)

A thermal imaging remote care system electrically coupled to a remote care station for monitoring the status of a patient, comprising: an infrared camera disposed on a peripheral side of the patient, configured to capture a thermal image of an area of interest associated with the patient; an image processing module electrically coupled to the infrared camera and receiving the thermal image, and converting the thermal image into a temperature data, the temperature data defining the a temperature-to-position relationship in the region of interest; and a breathing analysis module electrically coupled to the image processing module, configured to sample a temperature from the temperature data in a critical region of interest within a predetermined temperature range and determine In the key region of interest, whether the absolute value of the rate of change of temperature versus time is lower than a predetermined lower limit of rate of change, and if so, the respiratory analysis module generates a first event alarm associated with the patient and transmits to the remote The end-of-care station; wherein the respiratory analysis module determines that the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate lower limit, the respiratory analysis module Determining, in one step, whether the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate upper limit, and if so, the respiratory analysis module generates a second event alarm associated with the patient and transmits to the remote care Station, if not, the breathing analysis module samples a change in temperature between the predetermined temperature change rate upper limit and the predetermined temperature change rate lower limit to obtain a breathing curve, and thereby determines the breathing curve of the breathing curve Whether the frequency is normal, if it is determined that the breathing is abnormal, the breathing analysis module generates a third event alarm associated with the patient and transmits to the remote care station. The thermal imaging type far-end care system according to claim 1, wherein the temperature-to-time change rate is a temperature change amount in a time interval divided by the time interval, and the time interval is smaller than the patient. Breathing frequency. The thermal imaging distal care system of claim 1, wherein the predetermined temperature range comprises at least one of an intra-body temperature change range of the patient. The thermal imaging type far-end care system of claim 1, wherein the region of interest comprises a head of the patient, the first event alarm is an emergency event, and the second event alarm is A potential respiratory abnormality alarm, and the third event alarm is a respiratory abnormality confirmation alarm. The thermal imaging remote care system of claim 1, wherein the remote care station further comprises a database for storing the first event alarm, the second event alarm and the third event alarm The time of occurrence and the temperature information corresponding to the first event alarm, the second event alarm and the third event alarm. A thermal imaging remote care method is applicable to the thermal imaging remote care system described in claim 1, the method comprising the steps of: photographing the region of interest associated with the patient with the infrared camera The thermal image is received by the image processing module, and the thermal image is converted into a temperature data, the temperature data defines a temperature-to-position relationship in the region of interest; and the respiratory analysis module uses the temperature data The mid-sampling temperature is a key interest area in a predetermined temperature range; the breathing analysis module is configured to determine whether an absolute value of the temperature-to-time change rate in the key interest area is lower than the predetermined lower temperature change rate lower limit; If the respiratory analysis module determines that the absolute value of the rate of change of temperature versus time in the critical region of interest is lower than the lower limit of the predetermined rate of change, the respiratory analysis module generates a first event alarm associated with the patient and transmits To the remote care station; if the respiratory analysis module determines that the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate lower limit, the respiratory analysis module further determines the temperature-to-time change rate Whether the absolute value is higher than the upper limit of the predetermined temperature change rate; if the respiratory analysis module determines that the absolute value of the temperature-to-time change rate is higher than the predetermined temperature change rate upper limit, the respiratory analysis module generates the patient Correlating a second event alarm and transmitting to the remote care station; if the respiratory analysis module determines that the absolute value of the temperature to time change rate is lower than the predetermined temperature change rate upper limit, the respiratory analysis module Sampling a change in temperature between the predetermined upper temperature change rate upper limit and the predetermined temperature change rate lower limit to obtain a breathing curve; configuring the breathing Analysis module to determine the respiratory rate of the respiratory curve is normal, if it is determined that an abnormal breathing, the breath analysis module generates an alert associated with one of the third event and the patient is transmitted to the remote station care. The thermal imaging type far-end care method of claim 6, wherein the temperature-to-time change rate is a temperature change amount in a time interval divided by the time interval, and the time interval is smaller than the patient Breathing frequency. The thermal imaging distal care method of claim 6, wherein the predetermined temperature range comprises at least one of an intra-body temperature change range of the patient. The thermal imaging distal care method of claim 6, wherein the The region of interest includes the head of the patient, the first event alert is an emergency alert, the second event alert is a potential respiratory abnormality alert, and the third event alert is a respiratory abnormality alert. The thermal imaging remote care method of claim 6, wherein the remote care station further comprises a database for storing the first event alarm, the second event alarm and the third event alarm The time of occurrence and the temperature information corresponding to the first event alarm, the second event alarm and the third event alarm.