CN111387957A - Non-contact type body temperature and respiration rate combined detection method - Google Patents
Non-contact type body temperature and respiration rate combined detection method Download PDFInfo
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- CN111387957A CN111387957A CN202010177737.6A CN202010177737A CN111387957A CN 111387957 A CN111387957 A CN 111387957A CN 202010177737 A CN202010177737 A CN 202010177737A CN 111387957 A CN111387957 A CN 111387957A
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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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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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
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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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
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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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
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention provides a non-contact joint detection method for body temperature and respiration rate, which comprises the steps of collecting video image data under a human body target background by using a thermal imager or a night vision device, wherein the video image data comprises temperature field information in a scene, and the temperature of a human body can be directly read in the thermal imager or the night vision device; amplifying the collected video image data by utilizing a micro-motion amplification technology; and performing optical flow calculation on the video image data after the amplification processing to finally obtain an accurate value of the respiration rate. According to the invention, the thermal imager or the night vision device is used for capturing the infrared video image, the body temperature and the respiratory rate of the crowd are jointly detected, and even if the body temperature is normal due to the fact that a specific target crowd takes the antipyretic, the specific target crowd can be identified and give an alarm through the characteristic change of the respiratory rate.
Description
Technical Field
The invention belongs to the technical field of video signal analysis, and particularly relates to a non-contact body temperature and respiration rate combined detection method.
Background
Abnormal body temperature of a patient is one of the common symptoms when various infectious diseases occur. At present, the thermal infrared imager for measuring the temperature of the human body is widely applied to the rapid detection and screening of people in public places. The temperature measurement is accurate, the efficiency is high, the temperature measurement device is very suitable for places with dense people flow, such as hospitals, stations and the like, the infrared ray emitted by a human body is obtained by using the non-contact characteristic of the infrared ray, a temperature image is formed in real time, when a disease or function change occurs at a certain part of the human body, the blood flow at the part can be correspondingly changed, the local temperature of the human body is changed, and the temperature is higher or lower. According to the principle, the crowd area is collected through the thermal imaging system, and the body surface temperature condition of the crowd in the specified area is automatically detected by means of image processing and the like. The latest technology at present has realized high-speed tracking and body temperature measurement of specific parts of human body and recognition of human face. After the upper limit temperature is set, the display number is red, and the system outputs an alarm signal in time once the abnormality is found. Thermal imagers have been used for automated and wide-range human body temperature detection and screening in populations. However, such devices do not provide accurate warning to individuals who have taken antipyretics in advance.
Disclosure of Invention
The invention aims to provide a non-contact body temperature and respiration rate joint detection method, which aims at the problems that the existing thermal imager is mainly used for tracking and measuring the temperature of individuals in crowds, namely, only static signals of forehead temperature of a certain frame of human body are observed, and dynamic signals continuously acquired by the thermal imager are not utilized.
The invention is realized by the following technical scheme, and provides a non-contact body temperature and respiration rate joint detection method, which specifically comprises the following steps:
and 4, selecting a first frame image in the video image after amplification processing, automatically selecting a motion area caused by human respiration, namely a respiration part, through manual frame selection or a program, recording the horizontal and vertical coordinate range of pixels of the respiration part in the image, averaging the respiration part in the obtained matrix P, and finally obtaining the accurate value of the respiration rate.
Further, the wavelet transform is performed according to the following formula:
wherein a is a scaling factor, b is a translation parameter, t is time, f (t) is a temperature value of each pixel point in each frame, the temperature value changes with time in a thermal imager or a night vision device, Ψ is a mother function of wavelet transformation, WTfWavelet transform of f (t).
Further, the respiratory regions include the abdomen, chest and heart.
Further, the breathing part is a point, and the point is selected in a man-machine interaction mode.
Further, comparing the obtained accurate value of the respiration rate with a preset reasonable range of the respiration rate, and if the accurate value of the respiration rate is within the reasonable range, indicating that the respiration rate is normal; if the current time is not within the reasonable range, the abnormal state is indicated, and an alarm is given immediately.
Further, if the read temperature is abnormal in step 1, an alarm is immediately given.
The invention provides a non-contact body temperature and respiration rate joint detection method which is based on a temperature field distribution video of an infrared dynamic image, utilizes micro-motion caused by a human body respiration rhythm presented in a temperature image, and utilizes a micro-motion amplification algorithm to remotely extract the temperature and the heart rate of a human body in the environments of day and night. Unlike the prior art, in which a visible light camera is used to extract heart rate/pulse, the overall calculation of the present invention is based on small changes in temperature values in the temperature field.
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FIG. 1 is a flow chart of a non-contact combined body temperature and respiration rate measurement method according to the present invention;
FIG. 2 is a schematic view of an experimental scene of the joint detection of the temperature and the respiration rate of a human target;
FIG. 3 is a graph showing the results of respiration rate measurements; wherein FIG. 3(a) is a graph of respiratory rate versus respiratory amplitude analysis; FIG. 3(b) is a diagram of a respiratory rate wavelet transform spectrum.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With reference to fig. 1, the invention provides a non-contact body temperature and respiration rate joint detection method, which specifically comprises the following steps:
and 3, storing the temperature field values T in the video image data after amplification processing row by row to form a matrix K, and carrying out optical flow calculation on the temperature value f (T) of each pixel in each frame in a time dimension, wherein T is time, the classical optical flow calculation only aims at the brightness value formed on the surface by visible light, and the optical flow calculation is popularized to the temperature field. Performing Fourier transform or wavelet transform on the temperature values between frames to extract the change frequency of the temperature value of each pixel, and enabling the change frequency range to be arranged in a preset frequency range, so as to obtain a temperature value change frequency matrix P containing all pixel positions on a time axis;
the wavelet transform is performed according to the following formula:
wherein a is a scaling factor, b is a translation parameter, t is time, f (t) is a temperature value of each pixel point in each frame, the temperature value changes with time in a thermal imager or a night vision device, Ψ is a mother function of wavelet transformation, which can be constructed by using a classical wavelet basis function, WTfWavelet transform of f (t).
And 4, selecting a first frame image in the video image after amplification processing, automatically selecting a motion area caused by human respiration, namely a respiration part, through manual frame selection or a program, recording the horizontal and vertical coordinate range of pixels of the respiration part in the image, averaging the respiration part in the obtained matrix P, and finally obtaining the accurate value of the respiration rate. The respiratory regions include the abdomen, chest and heart, or may be other regions. The breathing region may also be only one point, which is selected by means of human-computer interaction.
Comparing the obtained accurate value of the respiration rate with a preset reasonable range of the respiration rate, and if the accurate value of the respiration rate is within the reasonable range, indicating that the respiration rate is normal; if the current time is not within the reasonable range, the abnormal state is indicated, and an alarm is given immediately. A reasonable range of breathing rates, such as age and gender of a battlefield soldier, is set taking into account the environment of the human target being measured, typically with a breathing frequency in the range of 0.2Hz to 0.6 Hz. The infant's breathing rate is high, should be 0.4Hz-0.8 Hz.
The existing thermal imager technology and algorithm only capture, track and measure a static signal of a head temperature field, the invention continuously calculates videos stored by the thermal imager, continuously calculates the temperatures of other parts of a human body between frames, and popularizes micro-motion algorithm and optical flow calculation to the temperature field, so that the thermal imager can observe the temperature field and remotely extract the respiratory rate of the human body. According to the invention, the thermal imager or the night vision device is used for capturing the infrared video image, the body temperature and the respiratory rate of the crowd are jointly detected, and even if the body temperature is normal due to the fact that a specific target crowd takes the antipyretic, the specific target crowd can be identified and give an alarm through the characteristic change of the respiratory rate.
In a healthy population, the respiratory rates of persons of different ages and of different sexes have normal values, for example, the typical respiratory rate of an adult person is in the range of 0.2Hz-0.4 Hz. The child's breathing rate is slightly higher, up to 0.6Hz (i.e. 24 breaths per minute). When a human body encounters respiratory diseases such as pneumonia, the respiratory rate is obviously increased, and obvious statistical difference is shown. Therefore, the human body temperature and the respiratory rate measured according to the invention can be compared with the indexes of a healthy human body to identify and alarm abnormal human body targets.
As shown in fig. 2, the embodiment of the present invention performs the joint detection of respiration rate and temperature on a girl of 3 years old, performs the micro-motion amplification and optical flow calculation on the girl after 10 seconds of shooting by using a thermal imager, and obtains the fourier spectrum with enhanced signal, as shown in fig. 3a, the respiration frequency of the girl is about 0.375Hz, i.e. the respiration frequency is 22.5 per minute, which corresponds to the normal respiration frequency of the girl of its own age. Fig. 3b shows that the respiratory signal of the video acquisition is subjected to wavelet transform, and the wavelet spectrum also shows that the respiratory frequency is the same value, and the signal is relatively pure.
The non-contact body temperature and respiration rate joint detection method proposed by the present invention is described in detail above, and the principle and the implementation of the present invention are explained in the present document by applying specific examples, and the description of the above examples is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (6)
1. A non-contact body temperature and respiration rate combined detection method is characterized in that: the method specifically comprises the following steps:
step 1, acquiring video image data under a human body target background by using a thermal imager or a night vision device, wherein the video image data comprises temperature field information in a scene, and the temperature of a human body can be directly read in the thermal imager or the night vision device;
step 2, amplifying the collected video image data by utilizing a micro-motion amplification technology;
step 3, storing the temperature field values T in the video image data after the amplification processing column by column to form a matrix K, carrying out optical flow calculation on the temperature value f (T) of each pixel in each frame in the time dimension, wherein T is time, carrying out Fourier transform or wavelet transform on the temperature values between frames to extract the change frequency of the temperature value of each pixel, and enabling the change frequency range to be arranged in a preset frequency range, thereby obtaining a temperature value change frequency matrix P containing all pixel positions on a time axis;
and 4, selecting a first frame image in the video image after amplification processing, automatically selecting a motion area caused by human respiration, namely a respiration part, through manual frame selection or a program, recording the horizontal and vertical coordinate range of pixels of the respiration part in the image, averaging the respiration part in the obtained matrix P, and finally obtaining the accurate value of the respiration rate.
2. The method of claim 1, wherein: the wavelet transform is performed according to the following formula:
wherein a is a scaling factor, b is a translation parameter, t is time, f (t) is a temperature value of each pixel point in each frame, the temperature value changes with time in a thermal imager or a night vision device, Ψ is a mother function of wavelet transformation, WTfWavelet transform of f (t).
3. The method of claim 2, wherein: the respiratory regions include the abdomen, chest and heart.
4. The method of claim 1, wherein: the breathing part is a point which is selected in a man-machine interaction mode.
5. The method of claim 1, wherein: comparing the obtained accurate value of the respiration rate with a preset reasonable range of the respiration rate, and if the accurate value of the respiration rate is within the reasonable range, indicating that the respiration rate is normal; if the current time is not within the reasonable range, the abnormal state is indicated, and an alarm is given immediately.
6. The method of claim 1, wherein: and in step 1, if the read temperature is abnormal, an alarm is given immediately.
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Cited By (3)
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| CN111898580A (en) * | 2020-08-13 | 2020-11-06 | 上海交通大学 | System, method and equipment for acquiring body temperature and respiration data of people wearing masks |
| CN112057074A (en) * | 2020-07-21 | 2020-12-11 | 北京迈格威科技有限公司 | Respiration rate measuring method, respiration rate measuring device, electronic equipment and computer storage medium |
| CN112924035A (en) * | 2021-01-27 | 2021-06-08 | 复旦大学附属中山医院 | Body temperature and respiration rate extraction method based on thermal imaging sensor and application thereof |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112057074A (en) * | 2020-07-21 | 2020-12-11 | 北京迈格威科技有限公司 | Respiration rate measuring method, respiration rate measuring device, electronic equipment and computer storage medium |
| CN111898580A (en) * | 2020-08-13 | 2020-11-06 | 上海交通大学 | System, method and equipment for acquiring body temperature and respiration data of people wearing masks |
| CN111898580B (en) * | 2020-08-13 | 2022-12-20 | 上海交通大学 | System, method and equipment for acquiring body temperature and respiration data of people wearing masks |
| CN112924035A (en) * | 2021-01-27 | 2021-06-08 | 复旦大学附属中山医院 | Body temperature and respiration rate extraction method based on thermal imaging sensor and application thereof |
| CN112924035B (en) * | 2021-01-27 | 2022-06-21 | 复旦大学附属中山医院 | Body temperature and respiration rate extraction method based on thermal imaging sensor and application thereof |
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