CN114557693B

CN114557693B - Noninvasive hemoglobin concentration measuring device and method

Info

Publication number: CN114557693B
Application number: CN202210449606.8A
Authority: CN
Inventors: 周勇
Original assignee: Shenzhen Maidu Technology Co ltd
Current assignee: Shenzhen Maidu Technology Co ltd
Priority date: 2022-04-27
Filing date: 2022-04-27
Publication date: 2022-11-18
Anticipated expiration: 2042-04-27
Also published as: CN114557693A

Abstract

The application relates to a non-invasive hemoglobin concentration measuring device and a method. The device and the method obtain a plurality of samples by measuring the blood-related physiological parameters in advance, and then classify the obtained samples according to a plurality of preset physiological characteristics, so that the samples can be analyzed from different dimensions based on the preset physiological characteristics, trends in the samples can be found out, and a plurality of preset physiological parameter models can be established, therefore, the selected preset physiological parameter model can effectively utilize the trends to reduce the adverse effects of individualized differences on the measurement of the blood-related physiological parameters, and the device and the method are suitable for medical diagnosis, skin care, health monitoring or any application scene suitable for obtaining human-related physiological parameters and reference information in a noninvasive detection mode based on an optical detection means.

Description

Noninvasive hemoglobin concentration measuring device and method

Technical Field

The application relates to the technical field of internet, in particular to the technical field of intelligent terminals, and particularly relates to a non-invasive hemoglobin concentration measuring device and method.

Background

With the development of intelligent terminal technology and the popularization of intelligent wearable equipment, noninvasive detection, or nondestructive detection, is widely applied to the measurement of human body related physiological parameters. Among them, the optical detection means is widely used in monitors and intelligent wearable devices due to its convenience and high cost performance. The principle of non-invasive detection based on optical detection means is as follows: light is irradiated to the skin of a part of the body, and the light is attenuated by scattering, absorption, and the like of various components and blood in the part of the body, and is finally received by a detector placed on the skin surface. The body part comprises components of the skin, muscles, bones, fat, pigments, etc., the attenuation of the light due to these components being generally constant or time-constant during the measurement and appearing as a direct component in the measurement signal. The part of the body comprises a blood vessel, in particular an arterial blood vessel, the attenuation of the light due to the blood flow in the arterial blood vessel being variable or time-varying during the measurement and appearing as an alternating component in the measurement signal. By analyzing and extracting the alternating current components in the measurement signal, the measurement of different components in the blood can be realized, and the relevant physiological parameters of the human body can be measured according to the measurement. The measurement signal may be a transmitted light signal or a reflected light signal that has passed through blood disturbances. The measurement is carried out by analyzing the transmitted light signal interfered by blood, which is called transmission type detection and can be seen in a monitor, a finger-clipped oximeter and the like; the measurement by analyzing the reflected light signal subjected to the blood interference is called reflection type detection, and can be seen in watches, bracelets and the like. For example, the Photoplethysmography (PPG) measures attenuated light reflected and absorbed by blood vessels and tissues of a human body to obtain blood flow changes of volume pulse waves, thereby tracing the pulse state of the blood vessels and measuring the pulse waves. As another example, pulse Oximetry (Pulse Oximetry) measures the blood oxygen saturation, that is, the volume of oxyhemoglobin bound by oxygen in blood as a percentage of the total bindable hemoglobin volume, by detecting the change in the amount of light absorbed by blood, using the principle that the amount of light absorbed by arterial blood changes as the pulses of the pulses.

The above-mentioned non-invasive detection method based on optical detection means mainly relies on analyzing and extracting the ac component in the measurement signal, i.e. the attenuation caused by the blood flow in the arterial blood vessel. The distribution, direction and thickness of the arterial blood vessels in the same body part are different among different persons or different individuals. For example, the distribution and structure of blood vessels at the right wrist of one patient may be different from that of another patient. These inter-individual differences affect the measurement and signal-to-noise ratio, and the same non-invasive detection methods based on optical detection may have better measurement for some individuals but may have worse measurement for others. Therefore, when the noninvasive detection mode based on the optical detection means is applied to intelligent wearable equipment in a large scale, stable and reliable measurement performance is difficult to maintain when the noninvasive detection mode faces different terminal consumers, and technical popularization and product landing are not facilitated.

Therefore, a non-invasive hemoglobin concentration measuring device and method are needed, which can solve the defects in the prior art.

Disclosure of Invention

In a first aspect, the present application provides a non-invasive physiological parameter measuring apparatus, which is applied to measure a blood-related physiological parameter at least including hemoglobin concentration. The non-invasive physiological parameter measuring apparatus includes: a transmitter, wherein the transmitter is disposed at a side of a target under test and configured to transmit an incident optical signal comprising a plurality of wavelengths toward the target under test; a detector, wherein the detector is configured to detect a transmitted light signal passing through the object under test or a reflected light signal reflected by the object under test corresponding to the incident light signal; a controller, wherein the controller is connected with the emitter and the detector, respectively, the controller being configured to: selecting a preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the measured object and determining the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal. The preset physiological parameter measurement model library comprises a plurality of preset physiological parameter models, the plurality of preset physiological parameter models are obtained by classifying a plurality of samples according to a plurality of preset physiological characteristics, the plurality of samples are obtained by measuring the blood-related physiological parameters in advance, and the physiological characteristics associated with the measured target correspond to one or more preset physiological characteristics in the plurality of preset physiological characteristics.

The technical solution described in the first aspect is to obtain a plurality of samples by performing measurement of the blood-related physiological parameter in advance, and then perform classification operation on the obtained plurality of samples according to a plurality of preset physiological characteristics, so that the plurality of samples can be analyzed from different dimensions and trends therein can be derived and a plurality of preset physiological parameter models can be established based on the plurality of preset physiological characteristics, and thus adverse effects of personalized differences on measurement of the blood-related physiological parameter can be effectively reduced by using the selected preset physiological parameter models.

According to a possible implementation manner of the technical solution of the first aspect, embodiments of the present application further provide that the blood-related physiological parameter measured by the non-invasive physiological parameter measuring apparatus further includes at least one of: blood pressure, pulse, blood oxygen saturation, respiratory rate, perfusion index, blood flow reactivity, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, blood lipids, blood glucose, white blood cell count, platelet count.

According to a possible implementation manner of the technical solution of the first aspect, an embodiment of the present application further provides that the plurality of preset physiological characteristics include at least one of: age, sex, pregnancy, specific condition, skin roughness, finger size, skin hardness, skin color.

According to a possible implementation manner of the technical solution of the first aspect, embodiments of the present application further provide that each of the plurality of samples includes a blood-related physiological parameter of the sample extracted by including incident light of one or more wavelengths and transmitted/reflected light corresponding to the incident light.

According to a possible implementation manner of the technical solution of the first aspect, the embodiment of the present application further provides that the selected preset physiological parameter model is classified based on one or more first samples, and the one or more first samples conform to a physiological characteristic associated with the measured object.

According to a possible implementation manner of the technical solution of the first aspect, the embodiment of the present application further provides that the object to be measured is a fingertip of a user, wherein the detector is disposed on the other side of the object to be measured opposite to the emitter and configured to detect the transmitted light signal passing through the object to be measured corresponding to the incident light signal, the emitter and the detector are disposed on the opposite sides of the fingertip, respectively, and the controller is configured to determine the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal.

According to a possible implementation manner of the technical solution of the first aspect, the present application embodiment further provides that the object to be measured is a wrist, an ear, a forehead, a cheek, or an eyeball of a user, wherein the detector is disposed on the same side of the object to be measured as the emitter and configured to detect the reflected light signal reflected by the object to be measured corresponding to the incident light signal, and the controller is configured to determine the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal, and the reflected light signal.

According to a possible implementation manner of the technical solution of the first aspect, an embodiment of the present application further provides that the target to be measured is located between a first knuckle of the finger tip closest to a fingertip of the finger tip and a center of the fingertip shell.

According to a possible implementation manner of the technical solution of the first aspect, embodiments of the present application further provide that each of the plurality of samples includes a blood-related physiological parameter of the sample extracted at a finger tip of the sample by including incident light of one or more wavelengths and transmitted light corresponding to the incident light.

According to a possible implementation manner of the technical solution of the first aspect, the embodiment of the present application further provides that the blood-related physiological parameter of the sample included in each of the plurality of samples is based on a measurement result of each of a plurality of measurement locations on a fingertip of the sample, and the plurality of measurement locations are distributed between a center of a fingertip on the fingertip of the sample and a knuckle of the fingertip of the sample closest to the fingertip of the sample.

According to a possible implementation manner of the technical solution of the first aspect, embodiments of the present application further provide that the blood-related physiological parameter of the sample is based on a measurement result of each of a plurality of measurement sites on a fingertip of the finger of the sample, including: the blood-related physiological parameter of the sample is an average value of the measurement results of each of the plurality of measurement sites on the fingertip of the sample or a measurement result of one measurement site selected from the measurement results of each of the plurality of measurement sites on the fingertip of the sample.

According to a possible implementation manner of the technical solution of the first aspect, the embodiment of the present application further provides that the selected measurement site is a side of a finger shell on a finger tip of the sample, which is closer to the finger joint.

According to a possible implementation manner of the technical solution of the first aspect, embodiments of the present application further provide that the blood-related physiological parameter of each of the samples is based on respective measurement results of multiple degrees of pressing force applied to the same measurement location on the fingertip of the finger of the sample.

According to a possible implementation manner of the technical solution of the first aspect, the embodiment of the present application further provides that the blood-related physiological parameter of the sample included in each of the plurality of samples is based on a plurality of measurement results associated with the sample obtained by applying a plurality of degrees of pressure to each of a plurality of measurement locations on a fingertip of the sample, and the plurality of measurement locations are distributed between a center of a fingertip of the sample and a knuckle of the fingertip of the sample closest to the fingertip.

According to a possible implementation manner of the technical solution of the first aspect, embodiments of the present application further provide that the blood-related physiological parameter of the sample is an average value of a plurality of measurement results associated with the sample or one measurement result selected from a plurality of measurement results associated with the sample.

According to a possible implementation manner of the technical solution of the first aspect, an embodiment of the present application further provides that the controller is further configured to determine the selected preset physiological parameter model according to a 3D model of a fingertip of the finger of the user.

In a second aspect, the present application provides a non-invasive physiological parameter measuring method, which is applied to measure a blood-related physiological parameter at least including a hemoglobin concentration. The physiological parameter measuring method comprises the following steps: transmitting, by a transmitter, an incident optical signal comprising a plurality of wavelengths toward a target under test, wherein the transmitter is disposed on a side of the target under test; detecting, by a detector, a transmitted light signal passing through the object to be measured or a reflected light signal reflected by the object to be measured corresponding to the incident light signal; and selecting a preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the measured target, and determining the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal. The preset physiological parameter measurement model library comprises a plurality of preset physiological parameter models, the plurality of preset physiological parameter models are obtained by classifying a plurality of samples according to a plurality of preset physiological characteristics, the plurality of samples are obtained by measuring the blood-related physiological parameters in advance, and the physiological characteristics associated with the measured target correspond to one or more preset physiological characteristics in the plurality of preset physiological characteristics.

According to the technical scheme described in the second aspect, a plurality of samples are obtained by performing measurement of the blood-related physiological parameter in advance, and then the obtained plurality of samples are classified according to a plurality of preset physiological characteristics, so that the plurality of samples can be analyzed from different dimensions based on the plurality of preset physiological characteristics, trends in the samples can be mined, and a plurality of preset physiological parameter models can be established, so that adverse effects of the trends on the measurement of the blood-related physiological parameter can be effectively reduced by the selected preset physiological parameter models.

According to a possible implementation manner of the technical solution of the second aspect, embodiments of the present application further provide that the blood-related physiological parameter further includes at least one of: blood pressure, pulse, blood oxygen saturation, respiratory rate, perfusion index, blood flow reactivity, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, blood lipids, blood glucose, white blood cell count, platelet count.

According to a possible implementation manner of the technical solution of the second aspect, the embodiment of the present application further provides that the object to be measured is a fingertip of a user, wherein the detector is disposed on the other side of the object to be measured opposite to the emitter and configured to detect the transmitted light signal corresponding to the incident light signal passing through the object to be measured, the emitter and the detector are disposed on the opposite sides of the fingertip of the finger, the blood-related physiological parameter is determined according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal, the blood-related physiological parameter of the sample included in each of the samples is a plurality of measurement results associated with the sample based on applying a plurality of degrees of pressure on each of a plurality of measurement sites on the fingertip of the sample, the plurality of measurement sites are distributed between a center of a finger crust on the fingertip of the sample and a finger joint of the fingertip of the sample closest to the fingertip of the sample.

In a third aspect, embodiments of the present application provide a non-transitory computer-readable storage medium. The computer readable storage medium stores computer instructions which, when executed by a processor, implement the method of non-invasive physiological parameter measurement according to any one of the second aspects.

According to the technical scheme described in the third aspect, a plurality of samples are obtained by performing measurement of the blood-related physiological parameter in advance, and then the obtained plurality of samples are classified according to a plurality of preset physiological characteristics, so that the plurality of samples can be analyzed from different dimensions based on the plurality of preset physiological characteristics, trends in the samples can be mined, and a plurality of preset physiological parameter models can be established, so that adverse effects of individual differences on measurement of the blood-related physiological parameter can be effectively reduced by using the selected preset physiological parameter models.

Drawings

In order to explain the technical solutions in the embodiments or background art of the present application, the drawings used in the embodiments or background art of the present application will be described below.

Fig. 1 shows a non-invasive physiological parameter measuring apparatus provided by an embodiment of the present application.

Fig. 2 illustrates a non-invasive physiological parameter measurement method provided by an embodiment of the present application.

Fig. 3 shows a block diagram of an electronic device used in the noninvasive physiological parameter measuring method of fig. 2 according to an embodiment of the present application.

Detailed Description

The embodiment of the application provides a non-invasive hemoglobin concentration measuring device and method in order to solve the technical problem that the difference between different individuals cannot be easily handled in the prior art. The non-invasive physiological parameter measuring apparatus includes: a transmitter, wherein the transmitter is disposed on a side of a target under test and configured to transmit an incident optical signal comprising a plurality of wavelengths toward the target under test; a detector, wherein the detector is configured to detect a transmitted light signal passing through the object under test or a reflected light signal reflected by the object under test corresponding to the incident light signal; a controller, wherein the controller is connected with the emitter and the detector, respectively, the controller being configured to: selecting a preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the measured target, and determining the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal. The preset physiological parameter measurement model library comprises a plurality of preset physiological parameter models, the plurality of preset physiological parameter models are obtained by classifying a plurality of samples according to a plurality of preset physiological characteristics, the plurality of samples are obtained by measuring the blood-related physiological parameters in advance, and the physiological characteristics associated with the measured target correspond to one or more preset physiological characteristics in the plurality of preset physiological characteristics. The embodiment of the application has the following beneficial technical effects: the method comprises the steps of obtaining a plurality of samples by carrying out measurement of the blood-related physiological parameters in advance, and then carrying out classification operation on the obtained plurality of samples according to a plurality of preset physiological characteristics, so that the plurality of samples can be analyzed from different dimensions based on the plurality of preset physiological characteristics, trends in the samples can be found out, and a plurality of preset physiological parameter models can be established, so that adverse effects of individual differences on the measurement of the blood-related physiological parameters can be reduced by effectively utilizing the trends through the selected preset physiological parameter models.

The embodiments of the present application can be applied to medical diagnosis, skin care, health monitoring, or any application suitable for non-invasive detection based on optical detection means to obtain human body related physiological parameters and reference information, and also suitable for any technology, product or service for physiological detection through skin, such as measuring blood pressure, hemoglobin concentration, pulse, blood oxygen saturation, respiratory rate, blood flow perfusion index, blood flow reactivity, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, etc. through photoplethysmography or pulse wave amplitude or pulse wave phase with different wavelengths, or measuring the above physiological parameters or any suitable human body related physiological parameters.

The embodiments of the present application may be modified and improved according to specific application environments, and are not limited herein.

In order to make the technical field of the present application better understand, embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

Fig. 1 shows a non-invasive physiological parameter measuring apparatus provided by an embodiment of the present application. The non-invasive physiological parameter measuring apparatus shown in fig. 1 is applicable to measuring blood-related physiological parameters including at least hemoglobin concentration. Therefore, the non-invasive physiological parameter measuring apparatus shown in fig. 1 can also be understood as a non-invasive hemoglobin concentration measuring apparatus. As shown in fig. 1, the non-invasive physiological parameter measuring apparatus includes: a transmitter 110, wherein the transmitter 110 is disposed at a side of a target under test (not shown) and configured to transmit an incident optical signal including a plurality of wavelengths toward the target under test; a detector 120, wherein the detector 120 is configured to detect a transmitted light signal passing through the target under test or a reflected light signal reflected by the target under test corresponding to the incident light signal; and a controller 130. Wherein the controller 130 is connected to the emitter 110 and the detector 120, respectively. The controller 130 is configured to: selecting a preset physiological parameter model from a preset physiological parameter measurement model library 140 according to a physiological characteristic associated with the target under test and determining the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted/reflected light signal. The preset physiological parameter measurement model library 140 includes a plurality of preset physiological parameter models, the plurality of preset physiological parameter models are obtained by classifying a plurality of samples according to a plurality of preset physiological characteristics, the plurality of samples are obtained by measuring the blood-related physiological parameters in advance, and the physiological characteristics associated with the measured object correspond to one or more preset physiological characteristics of the plurality of preset physiological characteristics.

It should be understood that the non-invasive physiological parameter measuring device shown in fig. 1 is suitable for both transmission and reflection type detection. The transmitter 110 is disposed at one side of the object under test. The specific deployment position of the detector 120 relative to the target under test can be adjusted accordingly based on either transmissive or reflective detection. Also, the detector 120 is configured to detect a transmitted light signal passing through the object to be measured or a reflected light signal reflected by the object to be measured corresponding to the incident light signal, and thus the detector 120 may also detect a corresponding signal according to transmission type detection or reflection type detection. For example, when the noninvasive physiological parameter measuring apparatus shown in fig. 1 is used for transmissive detection, the detector 120 can be configured to detect a transmitted light signal corresponding to the incident light signal that passes through the object under test and be disposed at a position relative to the emitter 110 and the object under test that is suitable for detecting the transmitted light signal (e.g., the detector 120 is disposed at the other side of the object under test corresponding to the side of the emitter 110). For another example, when the non-invasive physiological parameter measuring device shown in fig. 1 is used for reflective detection, the detector 120 may be configured to reflect the reflected light signal of the measured object corresponding to the incident light signal and disposed at a position suitable for detecting the reflected light signal with respect to the emitter 110 and the measured object (e.g., the detector 120 is disposed at the same side of the measured object as the emitter 110). In addition, emitter 110 may employ any suitable light-emitting electronic device, or any suitable light source, such as visible, infrared, and ultraviolet light, or the like, or red, green, and blue light, as is commonly used for measurements. The detector 120 may employ any suitable detection means, such as a Photodiode (PD), a photoresistor (photoresistor), a phototransistor (phototransistor), a photoelectric converter, or the like. Furthermore, the emitter 110 and the detector 120 may also adopt appropriate technical means together to improve the detection accuracy, such as polarization mode, am, fm, encoding, etc., and are not limited herein.

The controller 130 is connected to the emitter 110 and the detector 120, respectively, and has the necessary electronic circuitry and hardware and software components to perform the functions described above, including selecting a predetermined physiological parameter model from a predetermined physiological parameter measurement model library 140 based on the physiological characteristic associated with the object under test and determining the blood-related physiological parameter based on the selected predetermined physiological parameter model, the incident light signal and the transmitted/reflected light signal. The controller 130 may be implemented in any one or combination of hardware, software, firmware, or solid state logic circuitry, and may be implemented in connection with signal processing, control, and/or application specific circuitry. The emitter 110, the detector 120, and the controller 130 are schematically represented in fig. 1 by three blocks. It should be understood that in some embodiments, the controller 130 may be a separately provided module or component, or may be a module or component integrated with the emitter 110 and/or the detector 120, for example, the controller 130 may be a cooperative implementation of the controlling functional modules integrated with the emitter 110 and the detector 120, respectively. In other embodiments, the controller 130 is a module or component that is separately provided with respect to the emitter 110 and the detector 120, and performs the above-described functions by communicating with each other.

With continued reference to fig. 1, it is contemplated that differences in the distribution, orientation and thickness of arterial blood vessels in the same body region may exist between individuals, such as different patients, and that such individualized differences may affect the accuracy and stability of the measurement of the blood-related physiological parameter. To this end, the controller 130 of the non-invasive physiological parameter measuring apparatus shown in fig. 1 is configured to select a preset physiological parameter model from a preset physiological parameter measurement model library 140 and to determine the blood-related physiological parameter based on the selected preset physiological parameter model, the incident light signal and the transmitted/reflected light signal. In some embodiments, the library of pre-set physiological parameter measurement models 140 may be part of the non-invasive physiological parameter measurement apparatus shown in fig. 1, for example, in the form of separately provided modules or components such as stored in a memory connected to the controller 130, and for example, integrated with other components of the non-invasive physiological parameter measurement apparatus shown in fig. 1 such as integrated with the controller 130. In other embodiments, the library of pre-defined physiological parameter measurement models 140 may be external to the noninvasive physiological parameter measurement device of fig. 1 and communicatively coupled to the controller 130, such as via bluetooth or other wireless connection, for example, for data interaction with the controller 130. The controller 130 selects a preset physiological parameter model from the preset physiological parameter measurement model library 140, and then determines the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal. This means that the controller 130 calibrates the measured blood-related physiological parameter according to the selected preset physiological parameter model. In addition, the preset physiological parameter measurement model library 140 includes a plurality of preset physiological parameter models obtained by classifying a plurality of samples obtained by measuring the blood-related physiological parameter in advance according to a plurality of preset physiological characteristics, and the physiological characteristic associated with the target to be measured corresponds to one or more preset physiological characteristics among the plurality of preset physiological characteristics. Here, a plurality of samples are obtained by performing measurement of the blood-related physiological parameter in advance, and then the obtained plurality of samples are subjected to a classification operation according to a plurality of preset physiological characteristics, thereby making it possible to analyze the plurality of samples from different dimensions based on the plurality of preset physiological characteristics. For example, the plurality of preset physiological characteristics may include preset physiological characteristics such as gender and age. The preset physiological characteristics can better reflect the distribution and structural convergence of the artery blood vessels of the same part of the body among individuals with the same preset physiological characteristics. For example, if two different individuals both have a predetermined physiological characteristic, such as gender male, then such two individuals will have greater convergence in the distribution and structure of arterial blood vessels in the same part of the body, such as the tip of the right hand wrist or index finger, than if they both have a different predetermined physiological characteristic, such as gender female. Therefore, a plurality of preset physiological characteristics which can show the tendency among different individuals are screened out, and the obtained samples are classified by the preset physiological characteristics, so that a plurality of preset physiological parameter models are established, namely obtained. And selecting a preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the detected target, wherein the physiological characteristics associated with the detected target correspond to one or more preset physiological characteristics in the preset physiological characteristics, which means that the selected preset physiological parameter model has better tendency with the detected target. In summary, a plurality of samples are obtained by performing the measurement of the blood-related physiological parameter in advance, and then the obtained plurality of samples are classified according to a plurality of preset physiological characteristics, so that the plurality of samples can be analyzed from different dimensions based on the plurality of preset physiological characteristics, trends in the samples can be developed, and a plurality of preset physiological parameter models can be established, so that the adverse effects of individual differences on the measurement of the blood-related physiological parameter can be effectively reduced by using the trends through the selected preset physiological parameter models.

It will be appreciated that two different individuals will also have a higher tendency if they both have more predetermined physiological characteristics, for example, not only the same gender, but also the same age and other predetermined physiological characteristics. By selecting the best matching pre-set physiological parameter model, which is equivalent to finding the partial sample having the most same pre-set physiological characteristics with the measured target in the obtained samples, or the pre-set physiological parameter model established based on the partial sample, the selected pre-set physiological parameter model is considered to have better tendency with the measured target in the distribution and structure of arterial blood vessels in the same part of the body, and the measured blood-related physiological parameter is calibrated by the selected pre-set physiological parameter model (i.e. the blood-related physiological parameter is determined according to the selected pre-set physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal), so that the adverse effect of the individualized difference on the measurement result can be effectively reduced by utilizing the tendency. It should be understood that any physiological characteristic, physiological index, personal data, landmark or other form of information that can represent the distribution and structural tropism of arterial blood vessels in the same part of the body between different individuals can be used as the plurality of preset physiological characteristics, as long as the information can be collected before, during or after obtaining the plurality of samples by performing the measurement of the blood-related physiological parameter in advance. Moreover, the specific manner of obtaining the plurality of samples may be adjusted according to actual needs or application scenarios, and is not specifically limited herein. The specific manner of establishing or obtaining the plurality of preset physiological parameter models according to the obtained plurality of samples may utilize empirical formulas, statistical methods, machine learning techniques, or any other technique or any combination of these techniques, and is not limited in this respect.

In one possible embodiment, the blood-related physiological parameter measured by the non-invasive physiological parameter measuring device further includes at least one of: blood pressure, pulse, blood oxygen saturation, respiratory rate, perfusion index, blood flow reactivity, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, blood lipids, blood glucose, white blood cell count, platelet count. As described above, the blood-related physiological parameter measured by the non-invasive physiological parameter measuring apparatus shown in fig. 1 at least includes the hemoglobin concentration, so the non-invasive physiological parameter measuring apparatus shown in fig. 1 can be at least used as a non-invasive hemoglobin concentration measuring apparatus. In addition to hemoglobin concentration, the non-invasive physiological parameter measuring device of fig. 1 can also measure other types of blood-related physiological parameters described above, and can also be used to measure any other suitable blood-related physiological parameters, which are not specifically limited herein.

In one possible embodiment, the plurality of preset physiological characteristics includes at least one of: age, sex, pregnancy, specific condition, skin roughness, finger size, skin hardness, skin color. It should be understood that any physiological characteristic, physiological index, personal data, sign or other form of information that can reflect the distribution and structural convergence of arterial blood vessels in the same part of the body between different individuals can be used as the plurality of preset physiological characteristics, as long as the information can be collected before, during or after obtaining the plurality of samples by performing the measurement of the blood-related physiological parameter in advance. Moreover, if different individuals have or satisfy more preset physiological characteristics, the method means that the individuals have better convergence on the distribution and structure of arterial blood vessels in the same part of the body. The more preset physiological characteristics that need to be examined means that a plurality of samples obtained by statistics can be analyzed from more dimensions, and a better preset physiological parameter model can be established or obtained.

In one possible embodiment, each of the plurality of samples includes a blood-related physiological parameter of the sample extracted by including incident light of one or more wavelengths and transmitted/reflected light corresponding to the incident light. The plurality of samples are obtained by performing measurement of the blood-related physiological parameter in advance. The samples can be detected in a transmission mode, namely through transmitted light corresponding to the incident light, or in a reflection mode, namely through reflected light corresponding to the incident light, the blood-related physiological parameters of the samples can be extracted through the two detection modes, and therefore sufficient information is provided for the subsequent establishment of a preset physiological parameter model. In some embodiments, the selected predetermined physiological parameter model is categorized based on one or more first samples that conform to a physiological characteristic associated with the measured object. As mentioned above, a predetermined physiological parameter model is selected from a library of predetermined physiological parameter measurement models based on a physiological characteristic associated with the subject. Therefore, by searching for a preset physiological parameter model in which one or more first samples conform to the physiological characteristics associated with the target under test and using the preset physiological parameter model thus found as the selected preset physiological parameter model, it means that the selected preset physiological parameter model necessarily has a good tendency to the target under test. In addition, other specific ways of determining the selected predetermined physiological parameter model may be used, such as fitting the physiological characteristics associated with the measured target, or calculating a deviation, an average, or other mathematical analysis methods. In other embodiments, more relaxed criteria may be employed to determine the selected predetermined physiological parameter model, for example, the samples therein may be required to substantially conform to physiological characteristics associated with the target under test. For example, if the measured target is a female aged 9, it can be considered that the sample of the male aged 9 substantially conforms to the physiological characteristics of the measured target, considering that the difference between the distribution and thickness of arterial blood vessels between the male and the female at the age of the younger age is not obvious, or at least the difference between the physiological characteristics of the gender is small.

In one possible embodiment, the object to be measured is a tip of a finger of a user, for example, a tip of an index finger or a ring finger. Wherein the detector 120 is disposed on the other side of the object under test with respect to the emitter 110 and is configured to detect the transmitted light signal passing through the object under test corresponding to the incident light signal, the emitter 110 and the detector 120 are disposed on the opposite sides of the fingertip, respectively, and the controller 130 is configured to determine the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal. Here, in the form of transmission detection, the emitter 110 and the detector 120 are respectively disposed on two opposite sides of a fingertip of a finger, for example, on the fingertip of an index finger, typically on one side with a nail cover (the side on which the nail cover is located) and on the other side opposite to the side with the nail cover (the side on which the fingerprint is located). It should be understood that other parts of the body besides the finger tip may be suitable for the transmissive detection mode, and are not limited in particular. In some embodiments, when the target under test is a fingertip of a user, the target under test is located between a first knuckle of the fingertip closest to a digit shell of the fingertip and a center of the digit shell. This is because the bone composition at the first finger joint is high and the measurement effect is poor, and if it is too close to the finger tip, i.e., between the center of the finger shell and the tip of the finger tip, the arterial blood vessel is too thin or the branch is too small, which also results in poor measurement effect. Therefore, for better measurement, the object to be measured is located between the first finger joint and the center of the finger shell, which on the one hand is far away from the bone and on the other hand avoids too thin arterial vessels. In some embodiments, when the object under test is a fingertip of a user, each of the plurality of samples includes a blood-related physiological parameter of the sample extracted at the fingertip of the sample by including incident light of one or more wavelengths and transmitted light corresponding to the incident light.

In a possible embodiment, when the measured object is a finger tip of a user, a corresponding sample obtaining process may be defined in order to obtain a better measurement effect based on the transmissive detection mode. Specifically, the blood-related physiological parameter of the sample included in each of the plurality of samples is based on a measurement result of each of a plurality of measurement portions on a fingertip of the sample, the plurality of measurement portions being distributed between a center of a fingertip of the sample and a knuckle of a fingertip of the sample closest to the fingertip of the sample. In this way, each sample is measured at each of the plurality of measurement portions on the fingertip of the finger of the sample on the basis of the measurement result of each of the plurality of measurement portions, and therefore, it is possible to reduce errors and improve measurement accuracy, and the measurement portions are distributed between the center of the finger shell and the finger joint, thereby providing a good measurement effect. In some embodiments, the blood-related physiological parameter of the sample is based on measurements at each of a plurality of measurement sites on a fingertip of the finger of the sample, including: the blood-related physiological parameter of the sample is an average value of the measurement results of each of the plurality of measurement sites on the fingertip of the sample or a measurement result of one measurement site selected from the measurement results of each of the plurality of measurement sites on the fingertip of the sample. Instead of the average value, the measurement results of each of the plurality of measurement sites on the fingertip of the finger of the sample may be processed using any suitable mathematical tool. In some embodiments, the selected measurement site is a side of a finger shell on a fingertip of the sample that is closer to the finger joint. Thus, by measuring as close to the finger joint as possible, the arterial blood vessel may be thicker and have better measurement results. In addition, in addition to reducing errors and improving accuracy by measuring at a plurality of measurement sites individually, more abundant information can be obtained by applying different degrees of pressing force. This is because the finger tip has different deformation degrees under different pressing forces, and the deformation affects the distribution, thickness and structure of the artery blood vessel at the finger tip, and these slight changes can be used to provide richer information to improve the measurement effect. In particular, in some embodiments, the blood-related physiological parameter of the sample comprised by each of the plurality of samples is based on respective measurements at a plurality of degrees of pressure applied at the same measurement site on the finger tip of the sample. Also, it is possible to combine individual measurements at a plurality of measurement sites to reduce errors and improve accuracy and to obtain more abundant information by applying different degrees of pressing force. Specifically, in some embodiments, the blood-related physiological parameter of the sample included in each of the plurality of samples is based on a plurality of measurement results associated with the sample obtained by applying a plurality of degrees of pressure to each of a plurality of measurement sites on a fingertip of the sample, the plurality of measurement sites being distributed between a center of a finger shell on the fingertip of the sample and a finger joint of the fingertip of the sample closest to the finger shell. In this way, on the fingertip of each sample, measurement is performed at a plurality of measurement sites and a plurality of degrees of pressing force are applied to each measurement site, thus achieving reduction of errors and extraction of richer information. Further, the blood-related physiological parameter of the sample is an average of a plurality of measurements associated with the sample or a measurement selected from a plurality of measurements associated with the sample. In addition to the average, any suitable mathematical tool may be employed to process the plurality of measurements associated with the sample.

In one possible implementation, for the various embodiments of transmissive detection described above, a 3D model of the user's finger tip may also be incorporated for better error reduction and improved measurement. In particular, in some embodiments, the controller 130 is further configured to determine the selected preset physiological parameter model from a 3D model of the user's finger tip. Here, the preset physiological parameter model more conforming to the 3D model of the user's fingertip can be selected, so that the selected preset physiological parameter model is more consistent to the user's fingertip in the distribution and structure of the artery at the fingertip.

In one possible embodiment, the object under test is a wrist, an ear, a forehead, a cheek, or an eyeball of a user, wherein the detector 120 is disposed on the same side of the object under test as the transmitter 110 and is configured to detect the reflected light signal reflected by the object under test corresponding to the incident light signal, and the controller 130 is configured to determine the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal, and the reflected light signal. Here, the detector 120 is disposed on the same side of the target under test as the emitter 110 by means of reflective detection. It should be understood that the present invention is not limited to the embodiments, and may be applied to any other body part suitable for reflex detection, besides the wrist, ear, forehead, cheek, or eyeball of the user.

Fig. 2 illustrates a non-invasive physiological parameter measurement method provided by an embodiment of the application. As shown in fig. 2, the non-invasive physiological parameter measuring method includes the following steps.

Step S202: an incident optical signal comprising a plurality of wavelengths is transmitted by a transmitter toward an object under test.

Wherein the transmitter is disposed on a side of the target under test.

Step S204: detecting, by a detector, a transmitted light signal passing through the object to be measured or a reflected light signal reflected by the object to be measured corresponding to the incident light signal.

Step S206: selecting a preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the measured object and determining the blood-related physiological parameter according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal.

The preset physiological parameter measurement model library comprises a plurality of preset physiological parameter models, the plurality of preset physiological parameter models are obtained by classifying a plurality of samples according to a plurality of preset physiological characteristics, the plurality of samples are obtained by measuring the blood-related physiological parameters in advance, and the physiological characteristics associated with the measured target correspond to one or more preset physiological characteristics in the plurality of preset physiological characteristics.

The noninvasive physiological parameter measuring method shown in fig. 2 obtains a plurality of samples by performing measurement of the blood-related physiological parameter in advance, and then performs a classifying operation on the obtained plurality of samples according to a plurality of preset physiological characteristics, so that the plurality of samples can be analyzed from different dimensions based on the plurality of preset physiological characteristics, trends therein can be found, and a plurality of preset physiological parameter models can be established, so that adverse effects of individual differences on the measurement of the blood-related physiological parameter can be effectively reduced by using the selected preset physiological parameter models.

In one possible embodiment, the blood-related physiological parameter further comprises at least one of: blood pressure, pulse, blood oxygen saturation, respiratory rate, perfusion index, blood flow reactivity, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, blood lipids, blood glucose, white blood cell count, platelet count.

In a possible embodiment, the object to be measured is a fingertip of a user, wherein the detector is disposed on the other side of the object to be measured relative to the emitter and configured to detect the transmitted light signal corresponding to the incident light signal passing through the object to be measured, the emitter and the detector are disposed on opposite sides of the fingertip, respectively, and the blood-related physiological parameter is determined according to the selected preset physiological parameter model, the incident light signal and the transmitted light signal, and the blood-related physiological parameter of the sample included in each of the samples is based on a plurality of measurement results associated with the sample obtained by applying a plurality of degrees of pressure to each of a plurality of measurement sites on the fingertip of the sample, respectively, the plurality of measurement sites being distributed between a center of a finger crust on the fingertip of the sample and a finger joint of the fingertip of the sample closest to the finger crust.

It is to be understood that the above-described method may be implemented by a corresponding execution body or carrier. In some exemplary embodiments, a non-transitory computer readable storage medium stores computer instructions that, when executed by a processor, implement the above-described method and any of the above-described embodiments, implementations, or combinations thereof. In some example embodiments, an electronic device includes: a processor; a memory for storing processor-executable instructions; wherein the processor implements the above method and any of the above embodiments, implementations, or combinations thereof by executing the executable instructions.

Fig. 3 shows a block diagram of an electronic device for the noninvasive physiological parameter measuring method of fig. 2 according to the embodiment of the present application. As shown in fig. 3, the electronic device includes a main processor 302, an internal bus 304, a network interface 306, a main memory 308, and secondary processors 310 and 312, as well as a secondary processor 320 and a secondary memory 322. The main processor 302 is connected to the main memory 308, and the main memory 308 can be used for storing computer instructions executable by the main processor 302, so that the noninvasive physiological parameter measuring method of fig. 2 can be implemented, including some or all of the steps, and any possible combination or combination and possible replacement or variation of the steps. The network interface 306 is used to provide a network connection and to transmit and receive data over a network. The internal bus 304 is used to provide internal data interaction between the main processor 302, the network interface 306, the auxiliary processor 310, and the auxiliary processor 320. The secondary processor 310 is coupled to the secondary memory 312 and provides secondary computing power, and the secondary processor 320 is coupled to the secondary memory 322 and provides secondary computing power. The auxiliary processors 310 and 320 may provide the same or different auxiliary computing capabilities including, but not limited to, computing capabilities optimized for particular computing requirements such as parallel processing capabilities or tensor computing capabilities, computing capabilities optimized for particular algorithms or logic structures such as iterative computing capabilities or graph computing capabilities, and the like. The secondary processors 310 and 320 may include one or more processors of a particular type, such as Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs), and the like, so that customized functionality and structure may be provided. In some exemplary embodiments, the electronic device may not include an auxiliary processor, may include only one auxiliary processor, and may include any number of auxiliary processors and each have a corresponding customized function and structure, which are not specifically limited herein. The architecture of the two auxiliary processors shown in FIG. 3 is for illustration only and should not be construed as limiting. In addition, the main processor 302 may include a single-core or multi-core computing unit to provide the functions and operations necessary for embodiments of the present application. In addition, the main processor 302 and the auxiliary processors (such as the auxiliary processor 310 and the auxiliary processor 320 in fig. 3) may have different architectures, that is, the electronic device may be a heterogeneous architecture based system, for example, the main processor 302 may be a general-purpose processor such as a CPU based on an instruction set operating system, and the auxiliary processor may be a graphics processor GPU suitable for parallelized computation or a dedicated accelerator suitable for neural network model-related operations. The auxiliary memory (e.g., auxiliary memory 312 and auxiliary memory 322 shown in fig. 3) may be used to implement customized functions and structures with the respective auxiliary processors. While main memory 308 is operative to store the necessary instructions, software, configurations, data, etc. to provide the functionality and operations necessary for embodiments of the subject application in conjunction with main processor 302. In some exemplary embodiments, the electronic device may not include the auxiliary memory, may include only one auxiliary memory, and may further include any number of auxiliary memories, which is not specifically limited herein. The architecture of the two auxiliary memories shown in fig. 3 is illustrative only and should not be construed as limiting. Main memory 308, and possibly secondary memory, may include one or more of the following features: volatile, nonvolatile, dynamic, static, readable/writable, read-only, random-access, sequential-access, location-addressability, file-addressability, and content-addressability, and may include random-access memory (RAM), flash memory, read-only memory (ROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, a hard disk, a removable disk, a recordable and/or rewriteable Compact Disc (CD), a Digital Versatile Disc (DVD), a mass storage media device, or any other form of suitable storage media. The internal bus 304 may include any of a variety of different bus structures or combinations of different bus structures, such as a memory bus or memory controller, a peripheral bus, a universal serial bus, and/or a processor or local bus that utilizes any of a variety of bus architectures. It should be understood that the electronic device shown in fig. 3, the structure shown therein does not constitute a specific limitation on the relevant apparatus or system, and in some exemplary embodiments, the electronic device may include more or less components than those shown in the specific embodiments and the attached drawings, or combine some components, or split some components, or have different arrangements of components.

The embodiments provided herein may be implemented in any one or combination of hardware, software, firmware, or solid state logic circuitry, and may be implemented in connection with signal processing, control, and/or application specific circuitry. Particular embodiments of the present application provide an apparatus or device that may include one or more processors (e.g., microprocessors, controllers, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs), etc.) that process various computer-executable instructions to control the operation of the apparatus or device. Particular embodiments of the present application provide an apparatus or device that can include a system bus or data transfer system that couples the various components together. A system bus can include any of several different bus structures or combinations of different bus structures, such as a memory bus or memory controller, a peripheral bus, a universal serial bus, and/or a processor or local bus that utilizes any of a variety of bus architectures. The devices or apparatuses provided in the embodiments of the present application may be provided separately, or may be part of a system, or may be part of other devices or apparatuses.

Particular embodiments provided herein may include or be combined with computer-readable storage media, such as one or more storage devices capable of providing non-transitory data storage. The computer-readable storage medium/storage device may be configured to store data, programmers and/or instructions that, when executed by a processor of an apparatus or device provided by embodiments of the present application, cause the apparatus or device to perform operations associated therewith. The computer-readable storage medium/storage device may include one or more of the following features: volatile, non-volatile, dynamic, static, read/write, read-only, random access, sequential access, location addressability, file addressability, and content addressability. In one or more exemplary embodiments, the computer-readable storage medium/storage device may be integrated into a device or apparatus provided in the embodiments of the present application or belong to a common system. The computer-readable storage medium/memory device may include optical, semiconductor, and/or magnetic memory devices, etc., and may also include Random Access Memory (RAM), flash memory, read-only memory (ROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, a hard disk, a removable disk, a recordable and/or rewriteable Compact Disc (CD), a Digital Versatile Disc (DVD), a mass storage media device, or any other form of suitable storage media.

The above is an implementation manner of the embodiments of the present application, and it should be noted that the steps in the method described in the embodiments of the present application may be sequentially adjusted, combined, and deleted according to actual needs. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. It is to be understood that the embodiments of the present application and the structures shown in the drawings are not to be construed as particularly limiting the devices or systems concerned. In other embodiments of the present application, an apparatus or system may include more or fewer components than the specific embodiments and figures, or may combine certain components, or may separate certain components, or may have a different arrangement of components. Those skilled in the art will understand that various modifications and changes may be made in the arrangement, operation, and details of the methods and apparatus described in the specific embodiments without departing from the spirit and scope of the embodiments herein; without departing from the principles of embodiments of the present application, several improvements and modifications may be made, and such improvements and modifications are also considered to be within the scope of the present application.

Claims

1. A non-invasive physiological parameter measuring apparatus for measuring a blood-related physiological parameter including at least a hemoglobin concentration, comprising:

a transmitter, wherein the transmitter is disposed on a side of a target under test and configured to transmit an incident optical signal comprising a plurality of wavelengths toward the target under test;

a detector, wherein the detector is configured to detect a transmitted light signal passing through the object to be measured or a reflected light signal reflected by the object to be measured corresponding to the incident light signal;

a controller, wherein the controller is connected with the emitter and the detector, respectively, the controller being configured to: selecting an optimal matching preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the measured object and determining the blood-related physiological parameter according to the optimal matching preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal,

wherein the preset physiological parameter measurement model library includes a plurality of preset physiological parameter models obtained by classifying a plurality of samples according to a plurality of preset physiological characteristics, the plurality of samples are obtained by performing measurement of the blood-related physiological parameter in advance, the physiological characteristic associated with the target to be measured corresponds to one or more preset physiological characteristics among the plurality of preset physiological characteristics, the plurality of preset physiological characteristics respectively indicate the distribution and structural tendency of arterial blood vessels at the same site of the plurality of samples, the optimal matching preset physiological parameter model is based on a partial sample among the plurality of samples having the most same preset physiological characteristics of the physiological characteristics associated with the target to be measured,

the object under test is a fingertip of a user, wherein the detector is disposed on the other side of the object under test with respect to the emitter and configured to detect the transmitted light signal passing through the object under test corresponding to the incident light signal, the emitter and the detector being disposed on opposite sides of the fingertip, respectively, the controller being configured to determine the blood-related physiological parameter from the best-match preset physiological parameter model, the incident light signal and the transmitted light signal, the controller being further configured to determine the best-match preset physiological parameter model from a 3D model of the fingertip of the user,

each of the plurality of samples includes a blood-related physiological parameter of the sample extracted at a finger tip of the sample by including incident light of one or more wavelengths and transmitted light corresponding to the incident light,

the blood-related physiological parameter of the sample included in each of the plurality of samples is based on a plurality of measurement results associated with the sample obtained by applying a plurality of degrees of pressure to each of a plurality of measurement sites on a fingertip of the sample, the plurality of measurement sites being distributed between a center of a finger shell on the fingertip of the sample and a knuckle of the fingertip of the sample closest to the finger shell.

2. The non-invasive physiological parameter measuring apparatus according to claim 1, wherein the blood-related physiological parameters measured by the non-invasive physiological parameter measuring apparatus further include at least one of: blood pressure, pulse, blood oxygen saturation, respiratory rate, perfusion index, blood flow reactivity, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, blood lipids, blood glucose, white blood cell count, platelet count.

3. The non-invasive physiological parameter measuring device according to claim 1, wherein the plurality of preset physiological characteristics includes at least one of: age, sex, pregnancy, specific condition, skin roughness, finger size, skin hardness, skin color.

4. The non-invasive physiological parameter measuring device according to claim 1, wherein the best-matching pre-set physiological parameter model is classified based on one or more first samples that conform to a physiological characteristic associated with the measured object.

5. The non-invasive physiological parameter measuring device according to claim 1, wherein the measured object is located between a first knuckle of the fingertip closest to a fingertip of the fingertip and a center of the fingertip.

6. The non-invasive physiological parameter measuring device according to claim 1, wherein the blood-related physiological parameter of the sample is an average of a plurality of measurements associated with the sample or a measurement selected from a plurality of measurements associated with the sample.

7. A non-invasive physiological parameter measuring method for measuring a blood-related physiological parameter including at least hemoglobin concentration, the method comprising:

transmitting, by a transmitter, an incident optical signal comprising a plurality of wavelengths toward a target under test, wherein the transmitter is disposed on a side of the target under test;

detecting, by a detector, a transmitted light signal passing through the object to be measured or a reflected light signal reflected by the object to be measured corresponding to the incident light signal; and

selecting an optimal matching preset physiological parameter model from a preset physiological parameter measurement model library according to the physiological characteristics associated with the measured target and determining the blood-related physiological parameter according to the optimal matching preset physiological parameter model, the incident light signal and the transmitted light signal/the reflected light signal,

wherein the predetermined physiological parameter measurement model library includes a plurality of predetermined physiological parameter models, the plurality of predetermined physiological parameter models are obtained by classifying a plurality of samples according to a plurality of predetermined physiological characteristics, the plurality of samples are obtained by performing measurement of the blood-related physiological parameter in advance, the physiological characteristic associated with the target to be measured corresponds to one or more predetermined physiological characteristics among the plurality of predetermined physiological characteristics, the plurality of predetermined physiological characteristics respectively indicate the distribution and structural convergence of arterial blood vessels at the same site of the plurality of samples, the optimally matching predetermined physiological parameter model is based on a partial sample among the plurality of samples having the most identical predetermined physiological characteristics of the physiological characteristics associated with the target to be measured,

the object under test is a fingertip of a user's finger, wherein the detector is disposed on the other side of the object under test with respect to the emitter and configured to detect the transmitted light signal passing through the object under test corresponding to the incident light signal, the emitter and the detector being disposed on opposite sides of the fingertip, respectively, the blood-related physiological parameter being determined from the best-match preset physiological parameter model, the incident light signal and the transmitted light signal, the best-match preset physiological parameter model being determined from a 3D model of the fingertip of the user's finger,

8. The method of non-invasive physiological parameter measurement according to claim 7, wherein the blood-related physiological parameter further comprises at least one of: pulse, blood oxygen saturation, respiratory rate, perfusion index, reactivity of blood flow, methemoglobin, carboxyhemoglobin, bilirubin, oxygen content, blood lipids, blood glucose, white blood cell count, platelet count.

9. A non-transitory computer-readable storage medium storing computer instructions which, when executed by a processor, implement the method of non-invasive physiological parameter measurement according to claim 7 or 8.