TWI827419B - Method for detecting blood oxygen saturation, equipment, electronic device and storage medium - Google Patents

Abstract

A method for detecting a blood oxygen saturation includes: obtaining PPG signals of a plurality of channels; determining a signal quality of each of the plurality of channels based on the PPG signals of the plurality of channels; selecting object PPG signals matched a preset signal quality standard from the PPG signals of the plurality of channels based on the signal quality of each of the plurality of channels; detecting the blood oxygen saturation based on the object PPG signals. An equipment for detecting blood oxygen saturation, an electronic device and a storage medium are also provided.

Description

Blood oxygen saturation detection method, device, electronic equipment and storage medium

The present application relates to the field of medical equipment, and in particular to a blood oxygen saturation detection method, device, electronic equipment and computer-readable storage medium.

Oxygen saturation (SpO2), which can be referred to as blood oxygen for short, refers to the percentage of the actual amount of hemoglobin combined with oxygen in the blood to the total amount of hemoglobin in the blood.

Currently, blood oxygen measurement can be carried out through multi-channel electronic devices, such as multi-channel smart wearable devices. However, due to differences in the signals measured by each channel, the success rate of blood oxygen saturation measurement is not high and the measurement accuracy is poor.

In view of the above, this application provides a blood oxygen saturation detection method, device, electronic equipment and computer-readable storage medium, which can combine the signal quality collected by each channel to improve the success rate and accuracy of blood oxygen saturation measurement.

An embodiment of the present application provides a blood oxygen saturation detection method, which is applied to electronic equipment. The electronic equipment includes multiple channels for detecting blood oxygen saturation. The blood oxygen saturation detection method includes: obtaining the multiple channels. Photoplethysmogram for each of the channels (Photoplethysmography, PPG) signal is based on the PPG signal of each channel, and the signal quality of each channel is determined; based on the signal quality of each channel, the PPG signals of the multiple channels are selected to meet the preset PPG signal of signal quality standard; detect blood oxygen saturation based on PPG signal that meets the preset signal quality standard.

The embodiment of the present application measures the signal quality of each channel and performs blood oxygen saturation calculation on the channel corresponding to the PPG signal that meets the signal quality standard to avoid unsuccessful blood oxygen saturation calculation or low accuracy due to low signal quality of the channel. situation.

In some embodiments, each channel includes a detection light source, the detection light source includes: a red light source and a green light source, and each PPG signal includes: red light data and green light data, based on each channel The PPG signal determines the signal quality of each channel, including: calculating the correlation coefficient of the red light data and green light data of the PPG signal in each channel; determining the signal quality of each channel according to the correlation coefficient .

Using this technical solution to use the correlation coefficient as a basis for evaluating signal quality can further improve the success rate and accuracy of blood oxygen saturation measurement.

In some embodiments, each channel further includes a photoelectric conversion device, and the distance between the detection light source and the photoelectric conversion device of each channel is different.

In the embodiment of the present application, the distance between the detection light source and the photoelectric conversion device is different, which facilitates the detection of PPG signals at different depths.

In some embodiments, based on the signal quality of each channel, screening PPG signals that meet a preset signal quality standard from the PPG signals of the multiple channels includes: if the correlation coefficient corresponding to the current channel is within the preset If the correlation coefficient is within the range of the correlation coefficient, it is determined that the PPG signal of the current channel is a PPG signal that meets the preset signal quality standard.

The correlation coefficient is within the preset range, which can ensure the accuracy of blood oxygen saturation measurement while ensuring the success rate of blood oxygen saturation measurement.

In some embodiments, detecting blood oxygen saturation based on the PPG signal that meets the preset signal quality standard includes: determining the target with the largest correlation coefficient in the channel where the PPG signal that meets the preset signal quality standard is located. Channel; detect blood oxygen saturation based on the PPG signal of the target channel.

The larger the correlation coefficient, the higher the accuracy of blood oxygen saturation. Therefore, this technical solution can further improve the accuracy of blood oxygen saturation measurement.

In some embodiments, the blood oxygen saturation detection method further includes: if there is no PPG signal that meets the preset signal quality standard, reacquiring the PPG signal of each channel until a PPG signal that meets the preset signal quality standard is obtained. Signal quality standard PPG signal.

Using this technical solution, when the PPG signals of each channel do not meet the preset signal standards, the PPG signals are reacquired for calculation, thereby further improving the success rate of blood oxygen saturation measurement.

In some embodiments, if there is no PPG signal that meets the preset signal quality standard, the PPG signal of each channel is reacquired until a PPG signal that meets the preset signal quality standard is obtained, including: if not If the preset blood oxygen saturation detection time is exceeded and there is no PPG signal that meets the preset signal quality standard, the PPG signals of each channel are reacquired until a PPG that meets the preset signal quality standard is obtained. signal; if the blood oxygen saturation detection time exceeds and there is no PPG signal that meets the preset signal quality standard, then output prompt information for instructing the user to adjust the position of the electronic device.

This technical solution sets the blood oxygen saturation detection time. If the blood oxygen saturation detection time exceeds, the user is prompted to adjust the position of the electronic device to avoid the situation where the blood oxygen saturation cannot be measured due to the position of the electronic device.

One embodiment of the present application provides a blood oxygen saturation detection device, which is applied to electronic equipment. The electronic equipment includes multiple channels for detecting blood oxygen saturation. The blood oxygen saturation detection device includes: an acquisition module, Used to obtain the PPG signal of each channel in the plurality of channels; determine A module for determining the signal quality of each channel based on the PPG signal of each channel; a screening module for determining the signal quality of each channel from the PPG signals of the multiple channels based on the signal quality of each channel PPG signals that meet the preset signal quality standards are screened; the detection module is used to detect blood oxygen saturation based on the PPG signals that meet the preset signal quality standards.

An embodiment of the present application provides an electronic device. The electronic device includes a processor and a memory. The memory is used to store instructions. The processor is used to call instructions in the memory, so that the electronic device executes the above blood oxygen saturation detection method.

One embodiment of the present application provides a computer-readable storage medium on which computer instructions are stored. When the computer instructions are run on an electronic device, the electronic device executes the above blood oxygen saturation detection method.

The above-mentioned electronic devices and computer-readable storage media all correspond to the above-mentioned blood oxygen saturation detection methods. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be described again here.

1011: Detect light source

1012: Photoelectric sensor

101:PPG sensor

201: Photoelectric sensor

202: Detect light source

203: Photoelectric sensor

301, 302, 303, 304: steps

501: Get the module

502: Confirm module

503: Screening module

504:Detection module

200:Electronic equipment

20:Memory

30: Processor

40:Computer program

FIG. 1 is a schematic diagram of the working principle of one channel of the PPG sensor in an embodiment of the present application.

Figure 2 is a schematic diagram of the spacing between the detection light source and the photoelectric conversion device in an embodiment of the present application.

Figure 3 is a flow chart of steps for detecting blood oxygen saturation in an embodiment of the present application.

Figure 4 is a schematic diagram of the relationship between the correlation coefficient of a certain channel and the blood oxygen error in an embodiment of the present application.

Figure 5 is a schematic diagram of a module of a blood oxygen saturation detection device in an embodiment of the present application.

Figure 6 is a schematic diagram of an electronic device in an embodiment of the present application.

In order to more clearly understand the above objects, features and advantages of the present application, the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation modes. It should be noted that, as long as there is no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

Many specific details are set forth in the following description to facilitate a full understanding of the present application. The described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing specific embodiments only and is not intended to limit the application.

It should be further noted that, as used herein, the terms "comprises," "comprises," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or device that includes a list of elements includes not only those elements , but also includes other elements not expressly listed or inherent in such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element.

In this application, “at least one” refers to one or more, and “plurality” refers to two or more than two. "And/or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and/or B can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A and B can Is singular or plural. The terms "first", "second", "third", "fourth", etc. (if present) in the description, claims and drawings of this application are used to distinguish similar objects, rather than to Describe a specific order or sequence.

In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Anything described as “exemplary” or “such as” in the embodiments of this application No embodiment or design should be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "exemplary" or "such as" is intended to present the concept in a concrete manner.

This application provides a blood oxygen saturation detection method, which is applied to electronic equipment. The electronic equipment includes multiple channels for detecting blood oxygen saturation. The blood oxygen saturation detection method includes: obtaining the PPG of each channel in the multiple channels. signal; based on the PPG signal of each channel, determine the signal quality of each channel; based on the signal quality of each channel, select PPG signals that meet the preset signal quality standards from the PPG signals of multiple channels; based on the signal that meets the preset signal Quality standard PPG signal detects blood oxygen saturation.

The embodiment of the present application measures the signal quality of each channel and performs blood oxygen saturation calculation on the channel corresponding to the PPG signal that meets the signal quality standard to avoid unsuccessful blood oxygen saturation calculation or low accuracy due to low signal quality of the channel. situation, that is, the embodiments of the present application can improve the success rate and accuracy of measuring blood oxygen saturation.

The blood oxygen saturation detection method of the present application can be applied in electronic equipment. An electronic device can be a device that can automatically perform numerical calculations and/or information processing according to preset or stored instructions. Its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuits, ASICs), Programmable Gate Array (Field-Programmable Gate Array, FPGA), Digital Signal Processor (DSP), embedded devices, etc. For example, the electronic device may be a wearable blood oxygen measurement device, such as a sports bracelet, a smart watch, a finger ring and other computing devices. Electronic devices can interact with users through keyboards, mice, remote controls, touch pads, or voice-activated devices.

The hardware of the electronic device may also include a PPG sensor. The PPG sensor is provided with a detection light source and a plurality of photoelectric sensing devices (Photodiode, pd).

Each channel includes: photoelectric sensing device and detection light source, a photoelectric sensing device It can correspond to one detection light source one by one, or multiple photoelectric sensors can share one detection light source, which is not limited in the embodiments of the present application. The PPG signal collected by a PD can also be understood as the PPG signal collected by the channel where the PD is located.

In the PPG sensor of the electronic device, the detection light source in the channel is used to generate light of a preset wavelength, and irradiate the light of the preset wavelength to the skin tissue of the user to be tested for blood oxygen, and the detection light source The photoelectric conversion device in the same channel can be used to receive the light reflected back through the skin tissue to obtain the PPG signal. The PPG signal represents the light data of the emitted light reflected back by the skin tissue. The photoelectric conversion device can convert the reflected light into an electrical signal. , therefore, optical data can be expressed in the form of electrical signals.

Among them, the wavelength of the light generated by the detection light source can be set according to the reflection and absorption of light of different wavelengths by the skin tissue. For example, the preset wavelength of light may include one or more of red light, green light, and infrared light, but is not limited thereto. The wavelength of red light may be 660nm, the wavelength of infrared light may be 904nm and the wavelength of green light may be 520nm.

The type of detection light source may be a light emitting diode light source (LED). Correspondingly, the detection light source may include one or more of: red LED, green LED, and infrared LED.

For example, refer to Figure 1, which is a schematic diagram of the working principle of a channel in the PPG sensor 101. The detection light source 1011 emits light of a preset wavelength to the skin tissue at the finger, and the light that passes through the skin tissue is reflected back. , is received by the photoelectric sensor 1012 and processed to obtain a PPG signal.

In some embodiments, different spacings may be set between detection light sources and photoelectric conversion devices of different channels. In this embodiment, the distance between the detection light source and the photoelectric conversion device of different channels is different, which facilitates subsequent detection of PPG signals at different depths.

For example, refer to FIG. 2 , which is a schematic diagram of the distance setting between the detection light source and the photoelectric conversion device. FIG. 2 shows two channels, namely channel a and channel b. Channel a includes: photoinductor Detector 201 and detection light source 202, channel b includes a photoelectric sensor 203 and detection light source 202. The detection light source 202 includes 3 light sources, and the 3 light sources can emit light of different wavelengths.

In channel a, the distance between the photo sensor 201 and the detection light source 202 is d1, and the depth of the light reflected by the skin tissue to the photo sensor 201 is h1; in channel b, the distance between the photo sensor 203 and the detection light source 202 is d2, the depth of the light reflected by the skin tissue to the photoelectric sensor 203 is h2. Since d1 and d2 are different, h1 and h2 are different, which facilitates subsequent detection of PPG signals at different depths.

Figure 3 is a flow chart of steps for detecting blood oxygen saturation in an embodiment of the present application. According to different needs, the order of steps in the flow chart can be changed, and some steps can be omitted.

Referring to Figure 3, the blood oxygen saturation detection method may specifically include the following steps.

Step 301: Obtain the PPG signal of each channel in multiple channels.

After receiving the light reflected back through the skin tissue, the photoelectric sensing device of the electronic device can convert the light signal into an electrical signal, and filter and sample the electrical signal. The PPG signal can be a filtered and sampled electrical signal. When the detection light source includes: red LED, green LED, and infrared LED, the sampling points of the PPG signal include: red light data, green light data, and infrared light data.

During the filtering process, the electrical signal can be filtered with a high-pass filter to remove low-frequency interference and baseline, and filtered with a low-pass filter to remove high-frequency noise. For example, first use an infinite impulse response (IIR) high-pass filter for filtering, with a cutoff frequency of 0.5HZ, and then use a finite-length unit impulse response (FIR) low-pass filter for filtering, with a cutoff frequency of 0.5HZ. The frequency is 5HZ.

During the sampling process, the signal sampling rate can be set according to actual needs so that there is enough data in the PPG for subsequent signal quality evaluation and blood oxygen detection. For example, the sampling signal frequency can be set to 50HZ.

Step 302: Determine the signal quality of each channel based on the PPG signal of each channel.

In some embodiments, if the PPG signal includes infrared light data, the infrared light data packet Including: infrared light AC value and infrared light DC value. Electronic equipment can calculate the perfusion index (PI) of each channel, and determine the signal quality of each channel based on the PI value, where PI = infrared light AC value/infrared Optical DC value * 100%. The larger the PI value, the stronger the signal quality of the channel. The smaller the PI value, it means that the channel is easily affected by noise and the PPG signal quality is poor.

However, when the signal quality of the channel is determined based on the PI value, if there is a slight continuous disturbance in the PPG signal, the PI value cannot accurately reflect the slight continuous disturbance in the PPG signal, causing the PPG signal of the channel to be affected. A valid PPG signal is misjudged as a PPG signal that meets the preset signal quality standard; when the PI value is low but the interference is small, the PPG signal may be misjudged as an invalid PPG signal due to the low PI value, that is, it is misjudged as a PPG signal that meets the preset signal quality standards. Misjudged as a PPG signal that does not meet the preset signal quality standards.

In other words, slight interference in the channel will cause the light reflected to the photoelectric conversion device to be interfered, which will lead to deviations in the blood oxygen detection results, and the PI value cannot accurately reflect the slight interference in the channel. Therefore, the signal quality of the channel reflected by the PI value is not accurate.

In view of this, in other embodiments, the detection light source may include: a red light source and a green light source, and each PPG signal may include: red light data and green light data. Step 302 may further include: calculating the PPG in each channel. The correlation coefficient between the red light data and the green light data of the signal; determine the signal quality of each channel according to the correlation coefficient.

The correlation coefficient can reflect the similarity between the red light data and the green light data in the PPG signal. The greater the similarity, the stronger the signal quality that characterizes the channel.

Specifically, the correlation coefficient can be calculated based on the red light AC value in the red light data and the green light AC value in the green light data.

When the channel receives interference, the red light RD and green light data GR of the red light data will be significantly disturbed, and the correlation coefficient of the channel will also decrease significantly. Therefore, the correlation coefficient of the red light data and the green light data can Reflects the interference of the channel, and uses the correlation coefficient as a reference for the signal quality of the channel. Based on this, it can more accurately reflect the actual strength of the signal quality of the channel, thereby improving the accuracy of blood oxygen detection.

The following explains the process of calculating the correlation coefficient of the red light data and green light data of the PPG signal in the channel.

Obtain the PPG signal obtained in a preset time period. The PPG signal includes sampling point 1, sampling point 2,...sampling point m, m is the total number of sampling points included in the PPG signal, and sampling point i includes red light. The data rd _i , green light data gr _i , and the correlation coefficient M are calculated as follows:

Step 303: Based on the signal quality of each channel, select PPG signals that meet the preset signal quality standard from the PPG signals of multiple channels.

In some embodiments, if the correlation coefficient corresponding to the current channel is within a preset correlation coefficient range, it is determined that the PPG signal of the current channel is a PPG signal that meets the preset signal quality standard.

Specifically, the preset correlation coefficient range may be greater than a certain preset correlation coefficient threshold, and the value of the preset correlation coefficient threshold may be a natural number between 0.3 and 0.9.

Please refer to Figure 4, which shows the relationship between the channel's correlation coefficient mutual_coef and the blood oxygen error SpO2_err in a certain experiment. It can be seen from this figure that the greater the correlation coefficient, the smaller the blood oxygen error.

As shown in Table 1 below, Table 1 shows the relationship between the value of the correlation coefficient threshold, the blood oxygen accuracy rate, and the effective data rate in a certain experiment. The effective data rate is the number of PPG signals that meet the preset signal quality standard. The ratio of the number of total PPG signals N and the calculation formula of the blood oxygen root mean square error SpO2_rmse are as follows:

Table 1

As can be seen from the above table, the greater the value of the correlation coefficient threshold, the smaller the root mean square error of blood oxygenation, that is, the greater the accuracy of blood oxygenation, the smaller the effective data rate. The effective data rate can reflect the success rate of blood oxygenation calculation. , therefore, the embodiment of the present application sets the value range between 0.3 and 0.9, which can ensure the accuracy of blood oxygen saturation measurement as much as possible while ensuring the success rate of blood oxygen saturation measurement.

Step 304: Detect blood oxygen saturation based on the PPG signal that meets the preset signal quality standard.

In some embodiments, one PPG signal may be randomly selected from PPG signals that meet preset signal quality standards to detect blood oxygen saturation.

The PPG signal can be used to determine the degree of absorption of the light generated by the detection light source by the skin tissue, and the absorption degree can be converted into blood oxygen saturation.

In other embodiments, among the channels where the PPG signals that meet the preset signal quality standards are located, the target channel with the largest correlation coefficient is determined; and the blood oxygen saturation is detected based on the PPG signal of the target channel.

For example, if the electronic device includes channel a and channel b, the correlation coefficient of channel a is Ma, the correlation coefficient of channel b is Mb, the PPG signals of channel a and channel b are both PPG signals that meet the preset signal quality standard, and Ma If it is greater than Mb, channel a is the target channel. The correlation coefficient obtained from channel a can be used to calculate blood oxygen.

The above steps 301 to 304 indicate that there is a PPG signal that meets the preset signal quality standard. In actual situations, the currently sampled PPG signals may not meet the preset signal quality standard. In this case, step 301 can be re-entered, that is, re-entering step 301. The PPG signal of each channel is acquired until a PPG signal that meets the preset signal quality standard is acquired.

In this embodiment, when the PPG signals of each channel do not meet the preset signal quality standards, the PPG signals can be reacquired for calculation. Compared with randomly selecting a PPG signal that does not meet the preset signal quality standards, this embodiment can improve blood oxygenation. Success rate and accuracy of saturation measurements.

However, if each channel fails to collect signals that meet the preset quality standards for a long time, the blood oxygen detection results will take too long and affect the user's sense of touch.

The reason why the signal quality that meets the preset standard cannot be collected for a long time may be due to the location of the electronic device, such as the abnormal wearing state of the wearable device. Therefore, in other embodiments, if the preset blood oxygen saturation is not exceeded, detection time, and there is no PPG signal that meets the preset signal quality standard, then the PPG signals of each channel are reacquired until a PPG signal that meets the preset signal quality standard is obtained.

If the blood oxygen saturation detection time exceeds and there is no PPG signal that meets the preset signal quality standard, prompt information for instructing the user to adjust the position of the electronic device is output. For example, the user is prompted to adjust the wearing status of the electronic device.

This embodiment sets the blood oxygen saturation detection time. When the blood oxygen saturation detection time exceeds, the user is prompted to adjust the position of the electronic device to avoid the situation where the blood oxygen saturation cannot be measured due to the position of the electronic device, thereby improving the performance of the system. User experience.

Figure 5 is a schematic diagram of a module of a blood oxygen saturation detection device provided by an embodiment of the present application.

Referring to Figure 5, the blood oxygen saturation detection device can be applied to electronic equipment. The electronic device includes multiple channels for detecting blood oxygen saturation, and the blood oxygen saturation detection device may include one or more modules. For example, as shown in FIG. 5 , the blood oxygen saturation detection device may include an acquisition module 501 , a determination module 502 , a screening module 503 , and a detection module 504 .

The module referred to in the embodiment of this application may refer to a series of computer program instruction segments that can complete specific functions, or it may be a functional module formed by the cooperation of computer program instruction segments and hardware. The module The division is a kind of logical function division, and there may be other division methods in actual implementation, which is not limited in this application.

It can be understood that, corresponding to each embodiment of the above blood oxygen saturation detection method, the blood oxygen saturation detection device may include part or all of the functional modules shown in Figure 5, each module 501~504. The functions will be introduced in detail below. It should be noted that the same nouns and related nouns and their specific explanations in the above embodiments of the blood oxygen saturation detection method can also be applied to the following function introduction of each module 501 to 504. In order to save space and avoid repetition, they will not be described again here.

The acquisition module 501 is used to acquire the PPG signal of each channel in the plurality of channels; the determination module 502 is used to determine the signal quality of each channel based on the PPG signal of each channel; filtering The module 503 is used to screen PPG signals that meet the preset signal quality standards from the PPG signals of the multiple channels based on the signal quality of each channel; the detection module 504 is used to filter the PPG signals that meet the preset signal quality standards based on the signal quality of each channel. Signal quality standard PPG signal detects blood oxygen saturation.

In some embodiments, each channel includes a detection light source. The detection light source includes: a red light source and a green light source. Each PPG signal includes: red light data and green light data. The determination module 502 is based on the The PPG signal of each channel determines the signal quality of each channel, including: calculating the correlation coefficient of the red light data and green light data of the PPG signal in each channel; and determining the signal quality of each channel according to the correlation coefficient. signal quality.

Using this technical solution to use the correlation coefficient as a basis for evaluating signal quality can further improve the success rate and accuracy of blood oxygen saturation measurement.

In some embodiments, each channel further includes a photoelectric conversion device, and the distance between the detection light source and the photoelectric conversion device of each channel is different.

In the embodiment of the present application, the distance between the detection light source and the photoelectric conversion device is different, which facilitates the detection of PPG signals at different depths.

In some embodiments, based on the signal quality of each channel, the screening module 503 screens PPG signals that meet the preset signal quality standards from the PPG signals of the multiple channels, including: if the relevant signal corresponding to the current channel If the coefficient is within the preset correlation coefficient range, it is determined that the PPG signal of the current channel is a PPG signal that meets the preset signal quality standard.

The correlation coefficient is within the preset range, which can ensure the accuracy of blood oxygen saturation measurement while ensuring the success rate of blood oxygen saturation measurement.

In some embodiments, detecting blood oxygen saturation based on the PPG signal that meets the preset signal quality standard in the detection module 504 includes: in the channel where the PPG signal that meets the preset signal quality standard is located, determine The target channel with the largest correlation coefficient; detect the blood oxygen saturation based on the PPG signal of the target channel.

The larger the correlation coefficient, the higher the accuracy of blood oxygen saturation. Therefore, this technical solution can further improve the accuracy of blood oxygen saturation measurement.

In some embodiments, if there is no PPG signal that meets the preset signal quality standard in the screening module 503, the PPG signal of each channel is reacquired until a PPG signal that meets the preset signal quality standard is obtained. PPG signal.

Using this technical solution, when the PPG signals of each channel do not meet the preset signal standards, the PPG signals are reacquired for calculation, thereby further improving the success rate of blood oxygen saturation measurement.

In some embodiments, if there is no PPG signal that meets the preset signal quality standard in the screening module 503, the PPG signal of each channel is reacquired until a PPG signal that meets the preset signal quality standard is obtained. , including: if the preset blood oxygen saturation detection time does not exceed and there is no PPG signal that meets the preset signal quality standard, then re-acquire the PPG signals of each channel until the PPG signal that meets the preset signal quality standard is obtained. PPG signal with signal quality standard; if it exceeds the blood oxygen saturation If the time is detected and there is no PPG signal that meets the preset signal quality standard, prompt information for instructing the user to adjust the position of the electronic device is output.

This technical solution sets the blood oxygen saturation detection time. If the blood oxygen saturation detection time exceeds, the user is prompted to adjust the position of the electronic device to avoid the situation where the blood oxygen saturation cannot be measured due to the position of the electronic device.

FIG. 6 is a schematic diagram of an embodiment of the electronic device of the present application.

The electronic device 200 includes a memory 20 , a processor 30 , and a computer program 40 stored in the memory 20 and executable on the processor 30 . When the processor 30 executes the computer program 40, the steps in the above blood oxygen saturation detection method embodiment can be implemented, such as steps 301 to 304 shown in Figure 3.

For example, the computer program 40 can also be divided into one or more modules/units, and the one or more modules/units are stored in the memory 20 and executed by the processor 30 . The one or more modules/units may be a series of computer program instruction segments capable of completing specific functions. The instruction segments are used to describe the execution process of the computer program 40 in the electronic device 200 . For example, it can be divided into the acquisition module 501, the determination module 502, the screening module 503, and the detection module 504 shown in FIG. 5 .

The electronic device 200 may be a computing device such as a desktop computer, a notebook, a palmtop computer, an industrial computer, a tablet computer, a server, or the like. Those skilled in the art can understand that the schematic diagram is only an example of the electronic device 200 and does not constitute a limitation of the electronic device 200. The electronic device 200 may include more or fewer components than shown, or some components may be combined or different. Components such as electronic device 200 may also include input and output devices, network access devices, buses, etc.

The processor 30 may be a Central Processing Unit (CPU), other general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), or an off-the-shelf processor. Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or a microcontroller Or the processor 30 can also be any conventional processor, etc.

The memory 20 can be used to store computer programs 40 and/or modules/units. The processor 30 runs or executes the computer programs and/or modules/units stored in the memory 20 and calls the computer programs 40 stored in the memory 20. information to realize various functions of the electronic device 200. The memory 20 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store Store data created according to the use of the electronic device 200 (such as audio data), etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), at least one disk memory device, flash memory device, or other non-volatile solid-state memory device.

If the modules/units integrated in the electronic device 200 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the processes in the above embodiment methods by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code can be in the form of original program code, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-only memory). Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium Excludes electrical carrier signals and telecommunications signals.

In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the electronic device embodiments described above are only illustrative. For example, the division of units is only a logical function division, and there may be other division methods in actual implementation.

In addition, each functional unit in each embodiment of the present application can be integrated in the same processing unit, or each unit can exist physically alone, or two or more units can be integrated in the same unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of hardware plus software function modules.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the above embodiments, those of ordinary skill in the art will understand that the technical solutions of the present application can be modified. Modifications or equivalent substitutions may be made without departing from the spirit and scope of the technical solution of the present application.

301, 302, 302, 304: steps

Claims (10)

A blood oxygen saturation detection method, applied to electronic equipment, the electronic equipment includes multiple channels for detecting blood oxygen saturation, the blood oxygen saturation detection method includes: obtaining each of the multiple channels The PPG signal of each channel; based on the PPG signal of each channel, determine the signal quality of each channel; based on the signal quality of each channel, select signals that satisfy the preset from the PPG signals of the multiple channels PPG signal of quality standard; detect blood oxygen saturation based on PPG signal that meets the preset signal quality standard. The blood oxygen saturation detection method according to claim 1, wherein each of the channels includes a detection light source, the detection light source includes: a red light source and a green light source, and each PPG signal includes: red light data and Green light data. Determining the signal quality of each channel based on the PPG signal of each channel includes: calculating the correlation coefficient of the red light data and green light data of the PPG signal in each channel; according to the The correlation coefficient determines the signal quality of each channel. The blood oxygen saturation detection method according to claim 2, wherein each channel further includes a photoelectric conversion device, and the distance between the detection light source and the photoelectric conversion device of each channel is different. The blood oxygen saturation detection method according to claim 2, wherein based on the signal quality of each channel, selecting PPG signals that meet a preset signal quality standard from the PPG signals of the multiple channels includes: : If the correlation coefficient corresponding to the current channel is within the preset correlation coefficient range, it is determined that the PPG signal of the current channel is a PPG signal that meets the preset signal quality standard. The blood oxygen saturation detection method according to claim 4, wherein the detecting blood oxygen saturation based on the PPG signal that meets the preset signal quality standard includes: Among the channels where the PPG signal that meets the preset signal quality standard is located, the target channel with the largest correlation coefficient is determined; and the blood oxygen saturation is detected according to the PPG signal of the target channel. The blood oxygen saturation detection method according to any one of claims 1 to 5, wherein the blood oxygen saturation detection method further includes: if there is no PPG signal that meets the preset signal quality standard, re- The PPG signal of each channel is acquired until a PPG signal that meets the preset signal quality standard is acquired. The blood oxygen saturation detection method according to claim 6, wherein if there is no PPG signal that meets the preset signal quality standard, the PPG signal of each channel is reacquired until a PPG signal that meets the preset signal quality standard is obtained. Suppose the PPG signal of the signal quality standard includes: if the preset blood oxygen saturation detection time does not exceed and there is no PPG signal that meets the preset signal quality standard, then re-acquire the PPG signal of each channel until A PPG signal that meets the preset signal quality standard is obtained; if the blood oxygen saturation detection time exceeds and there is no PPG signal that meets the preset signal quality standard, output is used to instruct the user to adjust the Prompt information for the location of electronic devices. A blood oxygen saturation detection device is applied to electronic equipment. The electronic equipment includes multiple channels for detecting blood oxygen saturation. The blood oxygen saturation detection device includes: an acquisition module for acquiring the multiple channels. The PPG signal of each channel in the channels; the determination module is used to determine the signal quality of each channel based on the PPG signal of each channel; the filtering module is used to determine the signal quality of each channel based on the PPG signal of each channel. The signal quality is used to select PPG signals that meet the preset signal quality standards from the PPG signals of the multiple channels; the detection module is used to detect blood oxygen saturation based on the PPG signals that meet the preset signal quality standards. An electronic device includes a processor and a memory. The memory is used to store instructions. The processor is used to call the instructions in the memory so that the electronic device executes any one of claims 1 to 7. The blood oxygen saturation detection method described in one item. A computer-readable storage medium with computer instructions stored thereon. When the computer instructions are run on an electronic device, the electronic device causes the electronic device to perform the blood oxygen saturation described in any one of claims 1 to 7. degree detection method.

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