CN209932724U - Multi-wavelength signal fusion heart rate detection system based on wearable equipment - Google Patents
Multi-wavelength signal fusion heart rate detection system based on wearable equipment Download PDFInfo
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- CN209932724U CN209932724U CN201920029405.6U CN201920029405U CN209932724U CN 209932724 U CN209932724 U CN 209932724U CN 201920029405 U CN201920029405 U CN 201920029405U CN 209932724 U CN209932724 U CN 209932724U
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Abstract
The utility model discloses a wearable device-based multi-wavelength signal fusion heart rate detection system, which comprises a central control module, an emission module, a central control module and a plurality of sensors, wherein the central control module is used for controlling the operation of each module in the detection device; the receiving module is used for receiving and collecting color wave signals with heart rate signals after reflection of different detection waves and sending the color wave signals to the central control module, wherein the color wave signals comprise candidate signals of a main signal and a reference signal; the data processing module is connected with the central control module, the central control module sends the received color wave signals to the data processing module, and the data processing module processes the received color wave signals to obtain a heart rate value and sends the heart rate value to the central control module. Adopt the utility model discloses can utilize the signal of different wavelengths to measure user's rhythm of the heart according to actual user's complexion, guarantee to accurately measure human rhythm of the heart.
Description
Technical Field
The utility model relates to an intelligence wearing equipment measures technical field, specifically is a multi-wavelength signal fuses rhythm of heart detecting system based on wearable equipment.
Background
Along with the development of the wearable equipment industry of intelligence and people to daily healthy concern, equipment such as the wrist-watch bracelet that has heart rate monitor function is more and more popularized.
The heart rate monitoring function of wrist watch bracelet is based on wrist photoelectricity volume pulse ripples (PPG) signal is gathered to the green glow more, calculates the heart rate according to pulse ripples signal again, but the single wavelength single channel very easily receives noise interferences such as complexion, motion, wearing. When the skin of the user is dark or has a tattoo, the green wavelength used for heart rate measurement is easily absorbed by the melanin in the skin or tattoo, resulting in difficulty in penetrating the surface layer of the skin to reach the capillaries.
106889980A's Chinese utility model patent announced in 2017, 6, 27 and discloses a self-adaptive switching heart rate detection method and device based on a spectrogram and a wearable heart rate detection device, relating to the technical field of heart rate detection, in particular to a self-adaptive switching heart rate detection method and a wearable heart rate detection device based on a spectrogram. The electrocardiosignals acquired under the colored light are subjected to Fourier transform mapping to form a spectrum intensity graph distributed according to a time-frequency point relation, a connecting line of a user heart rate frequency peak region in the spectrum intensity graph on time is used as a heart rate change curve, the effectiveness of the current colored light on heart rate signal acquisition can be judged through the continuity of the heart rate change curve, the photoelectric signals acquired under the current colored light are not clear, namely, the heart rate change condition cannot be clearly reflected, the electrocardiosignals are immediately switched to colored light with higher penetrability to acquire the electrocardiosignals, and the continuity and the accuracy of heart rate detection are ensured. The spectrogram-based adaptive switching heart rate detection method can be implemented by establishing functional modules, combining into a functional module framework and storing a computer program in a computer readable storage medium.
Although the utility model discloses an in the above-mentioned utility model patent adopted the light source of multiple wavelength, only switch between each spectrum, in the actual calculation process, still only used the single channel signal that still has only adopted the single wavelength, the effect of removing noise in the actual measurement process is general.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a multi-wavelength signal fuses rhythm of heart detecting system based on wearable equipment, can utilize the signal of different wavelengths to measure user's rhythm of the heart according to actual user's complexion, guarantee to measure human rhythm of the heart accurately.
In order to realize the purpose of the utility model, the utility model adopts the following technical scheme: a heart rate detection system based on wearable equipment and fusion of multi-wavelength signals comprises
A central control module for controlling the operation of the various modules within the detection system,
the transmitting module is connected with the central control module and is used for transmitting detection waves with a plurality of different wavelengths to the skin;
-a receiving module for receiving a color wave signal with a heart rate signal after collection of reflections of different detection waves and for sending the color wave signal to the central control module, the color wave signal comprising a candidate signal for the main signal and a reference signal;
the data processing module is connected with the central control module, the central control module sends the received color wave signals to the data processing module, and the data processing module processes the received color wave signals to obtain a heart rate value and sends the heart rate value to the central control module.
Preferably, the emission module comprises a green light emitter for emitting green detection waves, a red light emitter for emitting red detection waves and a red light emitter for emitting infrared detection waves; the receiving module comprises a green light receiver for receiving a green light signal, a red light receiver for receiving a red light signal and an infrared receiver for receiving an infrared signal.
Preferably, the data processing module comprises a threshold calculator, a threshold comparator, a main signal determination
-a signal-to-noise ratio calculator, the central control module sending the received color wave signals to a threshold calculator, the threshold calculator calculating the signal-to-noise ratio of each color wave signal;
-a primary signal determiner for receiving the signal-to-noise ratio calculated by the signal-to-noise ratio calculator and comparing the signal-to-noise ratio with a signal-to-noise ratio threshold of the corresponding color wave signal to select a color wave signal as a primary signal;
a heart rate calculator, wherein the heart rate value is calculated according to the main signal and the reference signal after the main signal determiner determines the main signal.
Preferably, the wavelength of the green detection wave is 550nm, the wavelength of the infrared detection wave is 630nm, and the wavelength of the red detection wave is 880 nm.
Compared with the prior art, the wearable device-based multi-wavelength signal fusion heart rate detection system adopting the technical scheme has the following beneficial effects:
one, adopt the utility model discloses a multi-wavelength signal fuses rhythm of heart detecting system based on wearable equipment can be according to the quality of the detected signal of the different detected waves of gathering, selects different detected signals for carrying out the primary signal that the rhythm of the heart calculated, guarantees the rhythm of the heart and detects and the accuracy of calculation.
Secondly, the heart rate signals are calculated in a mode of fusing the main signals and the reference signals, noise signals such as ambient light interference, motion interference and baseline drift can be effectively eliminated, and finally obtained heart rate signals are guaranteed to be free of noise signals.
Drawings
Fig. 1 is a flow chart of a detection method of the multi-wavelength signal fusion heart rate detection system based on wearable equipment of the present invention;
FIG. 2 is a flowchart of the main signal determination in the present embodiment;
FIG. 3 is a flowchart illustrating the processing of the main signal and the reference signal according to the present embodiment;
FIG. 4 is a waveform diagram of a noise signal according to the present embodiment;
fig. 5 is a waveform diagram of a PPG signal without noise in this embodiment;
fig. 6 is the utility model discloses multi-wavelength signal fuses heart rate detecting system's module connection picture based on wearable equipment.
Detailed Description
Embodiments of the present invention are described in more detail below with reference to the accompanying drawings.
The wearable device-based multi-wavelength signal fusion heart rate detection method shown in fig. 1 comprises the following steps:
s1, emitting detection waves with different wavelengths by the emitter;
s2, the receiver collects color wave signals with heart rate signals after different detection waves are reflected, and the color wave signals comprise candidate signals of the main signal and a reference signal;
s3, the processor calculates the signal-to-noise ratio of the candidate signal, and determines the main signal according to the signal-to-noise ratio of different candidate signals and the threshold value of the main signal;
and S4, the processor calculates the heart rate value through the main signal and the reference signal.
Wherein, step S3 includes the following steps:
s301, comparing SNR of first candidate signal in candidate signals1Threshold lambda with respect to the first color wave signal itself1；
S302, when SNR1Greater than λ1Then, the first candidate signal is adopted as a main signal;
s303, if SNR1Is not more than lambda1Then step S301 and step S302 are repeated to compare the SNR of the second candidate signal2And a threshold lambda2Until the SNR of a candidate signal is foundiGreater than a threshold lambdaiAnd determining the main signal.
S304, if all signal-to-noise ratios in the candidate signals are not larger than the threshold value, returning to the step S2, and the receiver collects the color wave signals again.
Wherein, step S4 includes the following steps:
s401, a band-pass filter screens out a main signal from the color wave signals collected by the receiver;
s402, removing the heart rate signal in the reference signal by a band elimination filter to obtain a noise signal;
s403, performing direct current removing processing on the main signal and the noise signal;
s404, the phase subtracter performs equal phase subtraction on the main signal without direct current and the noise signal without direct current to obtain a heart rate signal.
Light sources with various wavelengths are used as detection light, and color wave signals carrying heart rate signals after the detection light is emitted are simultaneously collected at a certain sampling frequency. And calculating the signal-to-noise ratios of different color wave signals. Selecting a color wave signal obtained by detecting waves with signal-to-noise ratios larger than a threshold value as a main signal, and selecting a signal carried by a wavelength with a smaller wavelength as the main signal if the signal-to-noise ratios of a plurality of wavelengths are larger than a preset threshold value.
After the main signal is selected, the main signal and the reference signal are subjected to baseline removal, motion interference and random noise removal, and then the mental calculation of the main signal is carried out to obtain the final heart rate data.
In this embodiment, the signal transmitter transmits three detection waves, and the receiver receives the reflected waves detected by the three detection waves and then performs the above operation to obtain the heart rate value of the user. The three detection waves respectively adopt green light with the wavelength of 550nm, red light with the wavelength of 630nm and infrared light with the wavelength of 880 nm.
The green light signal and the red light signal are candidate signals of the main signal suitable for different heart rate detection environments. The green light signal has a high signal-to-noise ratio and a small drift when the ambient temperature changes, and a clear photoelectric signal can be obtained by using the green light under normal conditions. However, when a user sweats due to strenuous exercise and the reflection of light on the skin surface is enhanced, or the skin color of the user is darker and the absorption rate of light is too high, a clearer photoelectric signal can be obtained by adopting red light or infrared light.
In addition, the red color of blood is caused by the fact that oxyhemoglobin and deoxyhemoglobin in the blood absorb far less light in the red wavelength band than light in other wavelength bands. This makes the red signal received by the signal receiver substantially unaffected by blood volume changes, while other noise interferences such as ambient light, movement and wearing posture are equally affected on the emission and reception of the respective colored lights, so the red signal is used as a reference signal reflecting blood volume interferences for interference removal in the main signal.
In this embodiment, infrared and green light are used as candidate signals of the main signal, wherein green light is the first candidate signal, and a red light signal is used as a reference signal. The following will further describe specific steps of the method for detecting the heart rate by fusing the multi-wavelength signals with the green light, the infrared light and the red light with reference to fig. 2.
The transmitter in the heart rate detection equipment transmits the detection waves with the three wavelengths, the signal receiver collects corresponding green light signals, infrared signals and red light signals reflected by the wrist, the signals are sent to the processor of the heart rate detection equipment, and the processor processes the green light signals, the infrared signals and the red light signals.
Firstly, calculating the signal-to-noise ratio of a green light signal, and if the signal-to-noise ratio of the green light signal is greater than a green light threshold, performing heart rate calculation by taking the green light as a main signal; otherwise, calculating the signal-to-noise ratio of the infrared signal, and if the signal-to-noise ratio of the infrared signal is greater than the infrared threshold, taking the infrared as a main signal. And if the signal-to-noise ratio of both the green light signal and the infrared signal is not larger than the corresponding threshold value, controlling the receiver to re-collect the green light signal, the infrared signal and the red light signal.
Selecting a main signal, carrying out treatment of removing baseline drift, motion interference and random noise on the main signal and a reference signal, finally calculating the heart rate of the main signal and outputting a heart rate value.
Fig. 3 is a process of processing the main signal and the reference signal in this embodiment. Specifically, a primary signal is screened out by a color wave signal acquired by a receiver through a band-pass filter, and a noise signal which does not contain a heart rate signal is obtained by a reference signal through a band-stop filter; and then respectively carrying out direct current removal processing on the main signal and the noise signal, and then carrying out equal phase subtraction on the two signals subjected to direct current removal to finally obtain the PPG signal without noise. FIG. 4 is a waveform diagram of a noise signal obtained after a reference signal passes through a band-stop filter in the present embodiment; fig. 5 shows the resulting PPG signal without noise, with a partial enlargement of the region signal at a in fig. 5. The PPG signal after removing the noise carries out Fourier change and obtains signal spectrogram, wherein the summit of spectrogram is promptly the utility model discloses the heart rate value that needs to detect.
Fig. 6 is a connection diagram of each module in a wearable device-based multi-wavelength signal fusion heart rate detection system, including a central control module for controlling the operation of each module in the detection system, and an emission module connected to the central control module for emitting detection waves of various wavelengths to the skin; the receiving module is used for receiving and collecting color wave signals with heart rate signals after reflection of different detection waves and sending the color wave signals to the central control module, wherein the color wave signals comprise candidate signals of a main signal and a reference signal; the data processing module is connected with the central control module, the central control module sends the received color wave signals to the data processing module, and the data processing module processes the received color wave signals to obtain a heart rate value and sends the heart rate value to the central control module.
The emission module comprises a green light emitter for emitting green light detection waves, a red light emitter for emitting red light detection waves and a red light emitter for emitting infrared detection waves; the receiving module comprises a green light receiver for receiving a green light signal, a red light receiver for receiving a red light signal and an infrared receiver for receiving an infrared signal.
The data processing module comprises a signal-to-noise ratio calculator, the central control module sends the received color wave signals to the threshold calculator, and the threshold calculator calculates the signal-to-noise ratio of each color wave signal; the main signal determiner receives the signal-to-noise ratio calculated by the signal-to-noise ratio calculator, compares the signal-to-noise ratio with a signal-to-noise ratio threshold of a corresponding color wave signal, and selects a certain color wave signal as a main signal; and the heart rate calculator is used for calculating a heart rate value according to the main signal and the reference signal after the main signal determiner determines the main signal.
The above is the preferred embodiment of the present invention, and a person skilled in the art can make several modifications and improvements without departing from the principle of the present invention, and these should also be regarded as the protection scope of the present invention.
Claims (4)
1. The utility model provides a multi-wavelength signal fuses heart rate detecting system based on wearable equipment which characterized in that: comprises that
A central control module for controlling the operation of the various modules within the detection system,
the transmitting module is connected with the central control module and is used for transmitting detection waves with a plurality of different wavelengths to the skin;
-a receiving module for receiving a color wave signal with a heart rate signal after collection of reflections of different detection waves and for sending the color wave signal to the central control module, the color wave signal comprising a candidate signal for the main signal and a reference signal;
the data processing module is connected with the central control module, the central control module sends the received color wave signals to the data processing module, and the data processing module processes the received color wave signals to obtain a heart rate value and sends the heart rate value to the central control module.
2. The wearable device-based multi-wavelength signal fusion heart rate detection system of claim 1, wherein: the emission module comprises a green light emitter for emitting green light detection waves, a red light emitter for emitting red light detection waves and a red light emitter for emitting infrared detection waves; the receiving module comprises a green light receiver for receiving a green light signal, a red light receiver for receiving a red light signal and an infrared receiver for receiving an infrared signal.
3. The wearable device-based multi-wavelength signal fusion heart rate detection system of claim 1, wherein: the data processing module comprises
-a signal-to-noise ratio calculator, the central control module sending the received color wave signals to a threshold calculator, the threshold calculator calculating the signal-to-noise ratio of each color wave signal;
-a primary signal determiner for receiving the signal-to-noise ratio calculated by the signal-to-noise ratio calculator and comparing the signal-to-noise ratio with a signal-to-noise ratio threshold of the corresponding color wave signal to select a color wave signal as a primary signal;
a heart rate calculator, wherein the heart rate value is calculated according to the main signal and the reference signal after the main signal determiner determines the main signal.
4. The wearable device-based multi-wavelength signal fusion heart rate detection system of claim 2, wherein: the wavelength of the green light detection wave is 550nm, the wavelength of the infrared detection wave is 630nm, and the wavelength of the red light detection wave is 880 nm.
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