KR20170056232A - None-contact measurement method of vital signals and device using the same - Google Patents
None-contact measurement method of vital signals and device using the same Download PDFInfo
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- 230000036760 body temperature Effects 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims description 14
- 230000001815 facial effect Effects 0.000 claims description 11
- 230000036387 respiratory rate Effects 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 3
- 230000001121 heart beat frequency Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 7
- 238000012880 independent component analysis Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 210000001367 artery Anatomy 0.000 description 4
- 230000000541 pulsatile effect Effects 0.000 description 4
- 208000031662 Noncommunicable disease Diseases 0.000 description 3
- 239000008280 blood Substances 0.000 description 3
- 210000004369 blood Anatomy 0.000 description 3
- 230000036772 blood pressure Effects 0.000 description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- 230000017531 blood circulation Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 210000001061 forehead Anatomy 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
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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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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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
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
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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
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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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
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
- A61B5/0086—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters using infrared radiation
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- A—HUMAN NECESSITIES
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- 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
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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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
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7435—Displaying user selection data, e.g. icons in a graphical user interface
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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
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7445—Display arrangements, e.g. multiple display units
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Abstract
A method for measuring a bio-signal of a non-contact type includes steps of continuously photographing a face image of a person for a predetermined period of time, separating an image of interest into red, green and blue (RGB) channels after selecting a region of interest, Adjusting a signal-to-noise ratio (SNR) by assigning a nonlinear scale factor to each channel in the channel, and calculating a heart rate based on the signal to which the nonlinear scale factor is applied.
Description
The present invention relates to a bio-signal measurement, and more particularly, to a non-contact bio-signal measurement method and a bio-signal measurement apparatus using the same.
According to a 2011 report from the United Nations, 36 million people, or 63 percent of the 57 million people who die from non-communicable diseases (NCDs), account for 63 percent.
The basic precautionary measures for these non-communicable diseases are to measure and manage the vital sign of an individual.
A vital sign is a biomedical signal that represents the basic state of a human being, typically shown in the form of a signal of the essential elements of human life.
Most international medical standards define the four essential components of heart rate (HR), respiratory rate (RR), blood pressure (BP), and body temperature (BT) have.
The medical devices for measuring vital signs have limitations such as limitations of the measurement environment, dependency of the measurement sensor, high price, and difference in the accuracy of the measured value according to the skill of the measurer.
Recently, there have been a lot of applications as U-health care based on the development of IT environment and activation of personal mobile devices and wearable devices. However, there are disadvantages of attaching or holding measurement sensors to outside of the body at all times .
The present invention has been proposed in order to solve the above-mentioned technical problems, and it is an object of the present invention to provide a non-contact type bio-signal measuring method capable of calculating the heart rate of a heart through a change in color of a human face image and measuring a body temperature using an infrared And a living body signal measuring device using the same.
According to an embodiment of the present invention, there is provided a method of imaging a face image of a person, the method comprising: continuously photographing a face image of a person for a predetermined time; Selecting a region of interest of a person's face image and separating the region of interest into RGB (Red Green Blue) channels; Adjusting a signal-to-noise ratio (SNR) by applying a non-linear scale factor to each channel of the RGB channels; And calculating a heart rate on the basis of the signal to which the nonlinear scale factor is applied.
In addition, in the step of adjusting the signal-to-noise ratio (SNR)
The signal R, to which the nonlinear scale factor is applied,
r = f (t)
c: constant value, defined in real units
t: < / RTI > time.
In addition, a constant value c of the scale factor may be assigned a different value depending on each channel among the RGB channels.
Calculating a number of breaths based on the largest power spectral frequency value among the frequency domains corresponding to the heartbeat number after converting the signal imparted with the nonlinear scale factor into a frequency domain; And further comprising:
According to another embodiment of the present invention, there is provided a display device including: a mirror display for displaying a variety of information while a mirror function for reflecting and displaying a user's appearance is operated; A camera built in the mirror display and continuously photographing a face image of a person for a predetermined time; And selecting a region of interest among the facial images photographed by the camera, separating the image into red, green and blue (RGB) channels, adjusting a SNR by assigning a nonlinear scale factor to each channel of the RGB channels, And a controller for calculating a heart rate on the basis of the signal to which the nonlinear scale factor is applied.
The infrared sensor further includes an infrared sensor incorporated in the mirror display
The infrared sensor measures the body temperature of the user, and the measured body temperature is displayed on the mirror display.
In addition, the controller may adjust the signal-to-noise ratio (SNR), and the signal R, to which the nonlinear scale factor is applied,
r = f (t)
c: constant value, defined in real units
t: < / RTI > time.
Also, a constant value c of a scale factor is different from each other among the RGB channels.
The controller may convert the signal imparted with the nonlinear scale factor into a frequency domain and then calculate the number of breaths based on the largest power spectrum frequency value in the frequency domain corresponding to the heartbeat frequency .
The non-contact bio-signal measuring method and apparatus according to the embodiment of the present invention can simultaneously calculate the body temperature, the heart rate, and the breathing number within a short measurement time through a non-binding and non-invasive method. Also, the measured values may be configured to be shared over a wireless and wired network.
1 is a conceptual diagram of a non-contact type bio-signal measuring apparatus according to an embodiment of the present invention.
Fig. 2 is a basic conceptual diagram of a non-contact bio-signal measurement method which is processed by the non-contact bio-signal measurement apparatus of Fig. 1; Fig.
FIG. 3 is a diagram illustrating an example of applying a summed area table (SAT). FIG.
4 is a diagram showing a program for calculating a heart rate using a non-contact bio-signal measurement method according to an embodiment of the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, in order to facilitate a person skilled in the art to easily carry out the technical idea of the present invention.
1 is a conceptual diagram of a non-contact type bio-signal measuring
The non-contact type bio-signal measuring
1, the non-contact type biological
The detailed configuration and major operations of the non-contact type bio-signal measuring
The non-contact biological
The
That is, since the
The
For reference, in the present embodiment, the
The
Therefore, when measuring the user's body temperature, the
The
That is, the
For reference, the
Hereinafter, a non-contact type biological signal measurement method to be performed by the
Fig. 2 is a basic conceptual diagram of a non-contact type bio-signal measurement method which is processed by the non-contact
The process of performing the non-contact bio-signal measurement method will be described in detail with reference to FIG.
First, a step of photographing a person's face (face) image continuously for a predetermined time period is performed. There are many facial arteries on the face of the user and the patient, and the arteries transmit the pulsatile blood flow from the heart, so the operation of capturing the facial image clearly proceeds.
Next, a region of interest (ROI) is selected from among the facial images of the photographed person, and then an image is separated into RGB (Red Green Blue) channels. At this time, the region of interest, the perimeter of the eyes, the perimeter of the perimeter, etc., can be selected as the region of interest, and it is most preferable to set the forehead region as the region of interest.
For reference, it is desirable to apply the "Haar-like Feature" method, which is one of digital image processing techniques used for object recognition, when applying and recognizing a region of interest.
Meanwhile, a summed area table (SAT) can be applied as a data structure for quickly and efficiently summing the latticed image values of the user's facial image.
FIG. 3 is an example of applying a summed area table (SAT).
Referring to FIG. 3, the SAT algorithm may use values obtained by adding all the values of the left side, the upper side, and the upper left side of an arbitrary point (x, y) of a two-dimensional plane as shown in Equation (1).
&Quot; (1) "
The value of the summation area table at any point (x, y) in the summed area table (SAT) can be efficiently calculated in a single pass over the image using Equation (2).
&Quot; (2) "
Next, noise reduction and normalization are performed for each channel among RGB (Red Green Blue) channels. The noise removal and normalization operations may be performed independently or may be performed internally for each processing step.
Next, a step of adjusting a signal-to-noise ratio (SNR) by applying a non-linear scale factor to each channel of the RGB channels is performed.
That is, in the step of adjusting the signal-to-noise ratio (SNR), the signal R, to which the nonlinear scale factor is applied,
&Quot; (3) "
r = f (t) is the original signal (red)
c: constant value, defined in real units
t: time
At this time, c, which is a constant value of the scale factor, can be given different values depending on each channel among the RGB channels.
Referring to Equation (3), by multiplying the original signal f (t) by a scale factor, the difference of each signal can be further enlarged for each channel. That is, a smaller signal becomes smaller and a larger signal becomes larger. As a result, a signal having a high signal-to-noise ratio (SNR) can be obtained by multiplying the original signal by a scale factor.
Next, an independent component analysis (ICA) technique among Blind Source Separation (BSS) can be applied to independently extract BVP (Blood Volume Pulse).
The BSS (Blind Source Separation) technique is a technique for separating a complex set of signals into a set of original signals. In this embodiment, an algorithm of an independent component analysis (ICA) technique is applied.
The Independent Component Analysis (ISA) technique is expressed as Equation (4)
&Quot; (4) "
X: mixed signal
A: signal mix coefficient
s: independent signal source
The inverse matrix for obtaining the original source signal can be expressed by Equation (6) as shown in Equation (5).
Equation (5)
&Quot; (6) "
Next, the separated original source signal is subjected to discrete Fourier transform and transformed into a frequency domain signal as shown in Equation (7).
&Quot; (7) "
Next, a step of calculating a heart rate is performed based on a signal to which a non-linear scale factor is applied.
4 is a diagram illustrating a program for calculating a heart rate using a non-contact bio-signal measurement method according to an embodiment of the present invention.
Referring to FIG. 4, a signal imparted with a non-linear scale factor is subjected to image processing in the manner described above, and then a heart rate is calculated.
That is, in the step of calculating the heart rate, a signal having a scale factor may be processed through the above-described method, and then the heart rate may be calculated on the basis of the time domain. And then calculate the heart rate based on the frequency domain.
For reference, when calculating the heart rate, basically, it is possible to calculate the heart rate by repeating 5 times in 1 minute, and then the average value can be expressed as the final heart rate.
Describing an example of calculating the average value,
First, a total of five heart beats per minute is calculated in units of one minute.
Next, the first average value is calculated after excluding the heart rate corresponding to the maximum value and the minimum value among the total of 5 times.
Next, when the maximum value and the minimum value are within + -10 to + -20% of the first average value, the second average value is further calculated by further reflecting the nearest maximum value and the minimum value. At this time, it is preferable that the second average value is calculated by reflecting only the corresponding value within the range of -10 to 20% of the first average value among the maximum value and the minimum value.
On the other hand, after processing a signal imparted with a nonlinear scale factor (Scale Factor) by image processing as described above, the signal is converted into a frequency domain and the number of breaths is calculated based on the largest power spectrum frequency value among the frequency domains corresponding to the heart rate The number of breaths can be further processed.
That is, the respiratory rate (RR) can be calculated by Equation (8).
&Quot; (8) "
-
- Heart rate, or heart rate variability (HRV)
The non-contact bio-signal measuring method and apparatus according to the embodiment of the present invention can simultaneously calculate the body temperature, the heart rate, and the breathing number within a short measurement time through a non-binding and non-invasive method. Also, the measured values may be configured to be shared over a wireless and wired network.
Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.
1: Non-contact type bio-signal measuring device
10: Mirror display
20: Camera
30: Infrared sensor
40:
Claims (9)
Selecting a region of interest of a person's face image and separating the region of interest into RGB (Red Green Blue) channels;
Adjusting a signal-to-noise ratio (SNR) by applying a non-linear scale factor to each channel of the RGB channels; And
Calculating a heart rate based on a signal to which the non-linear scale factor is applied;
Wherein the non-contact type bio-signal measuring method comprises the steps of:
In the step of adjusting the signal-to-noise ratio (SNR)
The signal R, to which the nonlinear scale factor is applied,
r = f (t)
c: constant value, defined in real units
t: time
And the measurement of the bio-signal is performed.
C, which is a constant value of the scale factor,
Wherein a different value is assigned to each of the channels among the RGB channels.
Calculating a number of breaths based on the largest power spectral frequency value among the frequency domains corresponding to the heartbeat number after converting the signal imparted with the nonlinear scale factor into a frequency domain; Wherein the non-contact type bio-signal measurement method comprises the steps of:
A camera built in the mirror display and continuously photographing a face image of a person for a predetermined time; And
(SNR) is adjusted by assigning a nonlinear scale factor to each channel among the RGB channels by separating the facial image taken by the camera into an RGB (Red Green Blue) channel after selecting a region of interest, A control unit for calculating a heart rate based on a signal to which the nonlinear scale factor is applied;
Wherein the bio-signal measuring device is a non-contact type bio-signal measuring device.
And an infrared sensor embedded in the mirror display
Wherein the infrared sensor measures a user's body temperature and the measured body temperature is displayed on the mirror display.
Wherein the controller controls the SNR,
The signal R, to which the nonlinear scale factor is applied,
r = f (t)
c: constant value, defined in real units
t: time
And wherein the non-contact type bio-signal measuring device is a non-contact type bio-signal measuring device.
C, which is a constant value of the scale factor,
And a different value is assigned to each of the channels among the RGB channels.
Wherein,
Wherein the respiratory rate is calculated based on the largest power spectral frequency value among the frequency domains corresponding to the heartbeat frequency after converting the signal imparted with the nonlinear scale factor into a frequency domain, Signal measuring device.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109171649A (en) * | 2018-08-30 | 2019-01-11 | 合肥工业大学 | Intelligent imaging formula vital signs detecting instrument |
| KR20200068482A (en) * | 2018-12-05 | 2020-06-15 | (주)모어씽즈 | Robot for simulating posture of user and real-time posture monitoring system comprising the same |
| KR102150967B1 (en) * | 2019-03-26 | 2020-09-02 | (주)헥스하이브 | Automotive security system capable of shooting in all directions |
| KR20210040653A (en) | 2019-10-04 | 2021-04-14 | 한전케이디엔주식회사 | System and method for detecting contact-free biosignal |
| KR20210063188A (en) * | 2019-11-21 | 2021-06-01 | 주식회사 지비소프트 | Smart mirror device |
| US11103144B2 (en) | 2019-11-21 | 2021-08-31 | Gb Soft Inc. | Method of measuring physiological parameter of subject in contactless manner |
| WO2021184620A1 (en) * | 2020-03-19 | 2021-09-23 | 南京昊眼晶睛智能科技有限公司 | Camera-based non-contact heart rate and body temperature measurement method |
| KR102505728B1 (en) * | 2021-09-29 | 2023-03-03 | 주식회사 되고시스템 | Color barcode integrated management system for each chemical storage group |
| CN116433539A (en) * | 2023-06-15 | 2023-07-14 | 加之创(厦门)科技有限公司 | Image processing method, medium and device for non-perception type health detection |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109171649A (en) * | 2018-08-30 | 2019-01-11 | 合肥工业大学 | Intelligent imaging formula vital signs detecting instrument |
| KR20200068482A (en) * | 2018-12-05 | 2020-06-15 | (주)모어씽즈 | Robot for simulating posture of user and real-time posture monitoring system comprising the same |
| KR102150967B1 (en) * | 2019-03-26 | 2020-09-02 | (주)헥스하이브 | Automotive security system capable of shooting in all directions |
| KR20210040653A (en) | 2019-10-04 | 2021-04-14 | 한전케이디엔주식회사 | System and method for detecting contact-free biosignal |
| KR20210063188A (en) * | 2019-11-21 | 2021-06-01 | 주식회사 지비소프트 | Smart mirror device |
| US11103144B2 (en) | 2019-11-21 | 2021-08-31 | Gb Soft Inc. | Method of measuring physiological parameter of subject in contactless manner |
| US12023133B2 (en) | 2019-11-21 | 2024-07-02 | Gb Soft Co., Ltd. | Method of measuring physiological parameter of subject in contactless manner |
| WO2021184620A1 (en) * | 2020-03-19 | 2021-09-23 | 南京昊眼晶睛智能科技有限公司 | Camera-based non-contact heart rate and body temperature measurement method |
| KR102505728B1 (en) * | 2021-09-29 | 2023-03-03 | 주식회사 되고시스템 | Color barcode integrated management system for each chemical storage group |
| CN116433539A (en) * | 2023-06-15 | 2023-07-14 | 加之创(厦门)科技有限公司 | Image processing method, medium and device for non-perception type health detection |
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