WO2024174124A1 - 一种基于多光谱脉搏波的非接触血压监测方法及装置 - Google Patents

一种基于多光谱脉搏波的非接触血压监测方法及装置 Download PDF

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WO2024174124A1
WO2024174124A1 PCT/CN2023/077639 CN2023077639W WO2024174124A1 WO 2024174124 A1 WO2024174124 A1 WO 2024174124A1 CN 2023077639 W CN2023077639 W CN 2023077639W WO 2024174124 A1 WO2024174124 A1 WO 2024174124A1
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pulse wave
blood pressure
spectral
signals
pressure monitoring
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French (fr)
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王文锦
徐永
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Shenzhen Ibaby Labs Inc
Southern University of Science and Technology
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Shenzhen Ibaby Labs Inc
Southern University of Science and Technology
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/021—Measuring pressure in heart or blood vessels

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  • the present invention relates to the technical field of non-contact heart rate measurement, and in particular to a non-contact blood pressure monitoring method and device based on multi-spectral pulse wave.
  • Camera-PPG-based video sensing technology has been used for non-contact vital sign monitoring and health monitoring, using image/signal processing algorithms to extract human physiological signals from a video image containing continuous frames.
  • the methods of video monitoring of heart rate and respiratory rate are relatively mature, while the research and application of blood pressure monitoring are relatively few, mainly because of the high complexity of its technical implementation.
  • the research on non-contact camera-PPG signal monitoring of blood pressure can be divided into two categories: (i) based on the characteristics of pulse transit time (PTT).
  • PTT pulse transit time
  • the pulse transit time can be calculated by the time difference between the R peak of the ECG electrocardiogram and the systolic peak of the contact PPG of the fingertips.
  • the purpose of the present invention is to provide a non-contact blood pressure monitoring method and device based on multi-spectral pulse wave to solve the problems mentioned in the above background technology.
  • the solution of the present invention is: a non-contact blood pressure monitoring method based on multi-spectral pulse wave, comprising:
  • the multi-spectral optical imaging device includes a light source transmitter and a camera; a polarizer 1 is arranged in front of the light source transmitter; a camera sensor is arranged on the camera, and a polarizer 2 perpendicular to the polarization direction of the light source is arranged in front of the camera sensor.
  • the light source emitter is a Phosphor LED light source with a continuous broadband spectrum.
  • the camera sensor is an RGB camera sensor and a NIR sensor.
  • the multiple band signals extracted from the pixels of the skin area are B-G-IR three-channel time domain signals
  • the three bands in the B-G-IR are B (450 nm ⁇ 10 nm) - G (550 nm ⁇ 10 nm) - IR (805 nm ⁇ 10 nm); after simple detrending and bandpass filtering, the B-G-IR three-channel time domain signal removes non-pulse wave components in the signal to generate a three-channel pulse wave signal.
  • the pulse wave signal in the green light band represents the blood pulsation volume in the arterioles.
  • the pulse wave signal in the near-infrared light band represents the blood pulsation volume in the artery.
  • the systolic peaks of the pulse wave signals in the green light band and the near-infrared light band are detected to calculate the systolic peak spacing of the pulse wave signals in different bands in the same cardiac cycle, and the calculated peak spacing is the pulse wave conduction time.
  • a non-contact blood pressure monitoring device based on multi-spectral pulse wave comprising:
  • Multispectral optical imaging equipment for collecting and acquiring continuous video images including human skin
  • a multi-spectral pulse wave signal extraction module is used to extract pulse wave signals of multiple bands in the skin pixel in the time domain;
  • the pulse wave signal noise reduction and separation module uses the pulse wave signal in the blue light band of the multi-spectral pulse wave signal to reduce noise and decompose the pulse wave signals in the green light band and the near-infrared light band;
  • a pulse wave transmission time estimation module is used to extract the pulse wave transmission time from the decomposed green light and near-infrared light pulse wave signals
  • the blood pressure calibration module is used to calibrate the extracted pulse wave transmission time, obtain the calibrated regression model parameters, and generate continuous dynamic estimation values of blood pressure.
  • the device also includes a UI display interface for displaying the monitoring video and the blood pressure values obtained through monitoring.
  • the present invention uses a single camera to obtain continuous video images of human skin, so that the obtained images can be used to extract pulse wave signal data in visible light and near-infrared at the same time, which significantly enhances the independence of different bands in pulse wave signal monitoring. Then, the systolic peak spacing of pulse wave signals of different bands in the same cardiac cycle is calculated through the extracted pulse wave signal data, and the pulse wave conduction time is obtained, so that a regression model can be established through the pulse wave conduction time and blood pressure, and the continuous dynamic estimation of blood pressure parameters can be calibrated to obtain more accurate blood pressure data; and the use of multi-spectral pulse wave signals can suppress motion interference and environmental noise that occur during monitoring, further improving the accuracy of monitoring.
  • Fig. 1 is a flow chart of the method of the present invention
  • FIG. 2 is a structural block diagram of the blood pressure monitoring device of the present invention.
  • a non-contact blood pressure monitoring method based on multi-spectral pulse wave includes:
  • the multi-spectral optical imaging device includes a light source transmitter and a camera; a polarizer 1 is provided in front of the light source transmitter; a camera sensor is provided on the camera, and a polarizer 2 perpendicular to the polarization direction of the light source is provided in front of the camera sensor;
  • the light source transmitter is a Phosphor LED light source with a continuous broadband spectrum;
  • the camera sensor is an RGB camera sensor and a NIR sensor; in this embodiment, the multiple band signals extracted from the pixels of the skin area are B-G-IR three-channel time domain signals, and the three bands in the B-G-IR are B (450 nm ⁇ 10 nm) - G (550 nm ⁇ 10 nm) - IR (805 nm ⁇ 10
  • the polarized photons emitted by the light source are absorbed and scattered by the skin tissue and then reflected and can pass through the polarizer 2 on one side of the camera.
  • This process is a depolarization process, which will prevent the specular reflection light that has not entered the skin tissue from passing through, so that the polarized light can ensure that the video mainly monitors the diffuse reflection signal containing physiological information from the skin tissue layer; in this embodiment, the polarizer 1 of the light source transmitter is 0°, and the polarizer 2 of the camera sensor is 90°.
  • Such a setting can make the polarization direction of the polarizer vertical, thereby achieving the purpose of suppressing the specular reflection of the skin and ensuring the clarity of the shooting; and the polarizer 2 at the camera sensor can change the vibration direction of the light, and the three-band narrowband filter of the camera sensor will force the camera's shooting channel from the R-G-B channel to the narrowband B-G-IR channel, specifically using B (450 nm ⁇ 10 nm) - G (550 nm ⁇ 10 nm) - IR (805 nm ⁇ 10
  • the use of narrow bands can enhance the independence between bands and strengthen the perception of physiological information of different tissue layers, so that a single camera can simultaneously obtain images in visible light and near-infrared.
  • the B-G-IR three-channel time domain signal can effectively reduce noise infection, ensuring accurate and stable transmission of signals.
  • the pulse wave signal of the blue light band in the multi-spectral pulse wave signal to reduce noise and decompose the pulse wave signals of the green light band and the near-infrared light band, and then extract the pulse wave transmission time from the decomposed green light and near-infrared light pulse wave signals;
  • the pulse wave signal of the green light band represents the blood pulsation volume in the arterioles;
  • the pulse wave signal of the near-infrared light band represents the blood pulsation volume in the arteries; in this embodiment, the decomposed green light and near-infrared light
  • the systolic peaks of the pulse wave signals in the green light band and the near-infrared light band are detected to calculate the systolic peak spacing of the pulse wave signals in different bands in the same cardiac cycle.
  • the calculated peak spacing is the pulse wave transmission time.
  • the pulse wave signal in the blue light band is used as the reference signal.
  • the photons of the pulse wave signal in the blue light band can only reach the subcutaneous ⁇ 0.5 mm, which mainly senses the physiological information of the epidermis (i.e., the mechanical compression of capillaries by arterial pulsation), so it can remove the interference of non-pulsating blood in the superficial skin tissue in the pulse wave signals of the green light band and the near-infrared light band, making the pulse wave signals of the green light band and the near-infrared light band purer; and the extracted pulse wave transmission time is calculated by the peak detection algorithm, by detecting the systolic peaks of the pulse wave signals of the green light band and the near-infrared light band, the systolic peak spacing (i.e., PTT characteristics) of the pulse wave signals of different bands in the same cardiac
  • systolic pressure, diastolic pressure, and average blood pressure are obtained from the user's standard monitor, and the blood pressure calibration model extracts features from multi-spectral polarized light signals and maps them to blood pressure values through the model, so that the calibrated continuous dynamic estimation data also includes systolic pressure, diastolic pressure, and average blood pressure, and finally accurate systolic pressure, diastolic pressure, and average blood pressure values are obtained.
  • a non-contact blood pressure monitoring device based on multi-spectral pulse wave comprising:
  • Multispectral optical imaging equipment for collecting and acquiring continuous video images including human skin
  • a multi-spectral pulse wave signal extraction module is used to extract pulse wave signals of multiple bands in the skin pixel in the time domain;
  • the pulse wave signal noise reduction and separation module uses the pulse wave signal in the blue light band of the multi-spectral pulse wave signal to reduce noise and decompose the pulse wave signals in the green light band and the near-infrared light band;
  • a pulse wave transmission time estimation module is used to extract the pulse wave transmission time from the decomposed green light and near-infrared light pulse wave signals
  • the blood pressure calibration module is used to calibrate the extracted pulse wave transmission time, obtain the calibrated regression model parameters, and generate continuous dynamic estimation values of blood pressure.
  • the device further includes a UI display interface for displaying the monitoring video and the blood pressure value obtained by monitoring;
  • the present invention provides a non-contact blood pressure monitoring method and device based on multi-spectral pulse wave, which uses a single camera to obtain continuous video images of human skin, so that the obtained image can simultaneously extract pulse wave signal data in visible light and near-infrared, significantly enhancing the independence of different bands in pulse wave signal monitoring, and then calculating the systolic peak spacing of pulse wave signals of different bands in the same cardiac cycle through the extracted pulse wave signal data, and obtaining the pulse wave conduction time, so as to establish a regression model through the pulse wave conduction time and blood pressure, calibrate the continuous dynamic estimation of blood pressure parameters, and obtain more accurate blood pressure data; and the use of multi-spectral pulse wave signals can suppress motion interference and environmental noise occurring in monitoring, further improving the accuracy of monitoring.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Engineering & Computer Science (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physiology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Vascular Medicine (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
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  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

本发明公开了一种基于多光谱脉搏波的非接触血压监测方法及装置，其方法包括：S1、获取包含人体皮肤的连续视频图像，选择视频图像中有效的皮肤区域，从皮肤区域像素中提取脉搏波信号；S2、利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解，提取脉搏波传导时间；S3、建立脉搏波传导时间与血压间的回归模型，对血压进行校准和连续动态估测。本发明通过采用单枚摄像头来获取人体皮肤的连续视频图像，使图像可同时在可见光和近红外中进行脉搏波信号的提取，显著增强了不同波段在脉搏波信号监测上的独立性，使计算的脉搏波传导时间在建立回归模型后，可以校准血压参数，保证了血压值的精准度。

Description

一种基于多光谱脉搏波的非接触血压监测方法及装置 技术领域
本发明涉及非接触式心率测量技术领域，特别涉及一种基于多光谱脉搏波的非接触血压监测方法及装置。
 背景技术
随着我国渐渐进入低生育率和老龄化社会阶段，新生儿和老龄人口的健康问题是将是亟待解决的社会问题之一。为了实现对这两个群体的健康监测和疾病预防，迫切需要对脉搏、血压和心电等生理信息进行连续性监测。目前常用的且较为成熟的可穿戴式生理连续性监测产品多为两类：（1）运动手环，通过单个绿色波段来监测心率信号（绿光波段PPG信号强，可达到一定的运动鲁棒性，但监测的生理指标过于单一）；（2）手指血氧仪，通过红色和红外双波段来监测心率和血氧饱和度（红外波段PPG信号弱，因此心率监测稳定性较低）。可穿戴设备易对新生儿娇嫩脆弱的皮肤造成损伤和感染，因此非接触监护手段得到进一步发展。
基于摄像头（camera-PPG）的视频感知技术已被用于非接触生命体征监测及健康监测，采用图像/信号处理算法从一段包含连续帧的视频图像中提取人体生理信号。其中，视频监测心率和呼吸率的方法相对成熟，而血压监测的研究及应用相对较少，主要在于其技术实现的复杂度较高。目前利用非接触式camera-PPG信号监测血压的研究可以分为两类：(i)基于脉搏波传导时间（Pulse Transit Time, PTT）的特征，脉搏波传导时间在接触式监测中可通过ECG心电图的R峰到达指尖接触式PPG收缩期波峰的时间差来计算，在非接触式血压监测中可以使用两个不同身体部位的PPG信号的时间差和相位差等价于脉搏传输时间。因此需要视频同时监测多个身体部位，在实际应用中易受场景的局限；(ii)基于PPG的波形特征进行血压估计，该方法对脉搏波（PPG）的质量要求极高，且在血压校准方面对个性化参数（如外周血管阻力）的要求极高，仅停留在可行性分析阶段。因此，现有的监测方法并不能实现从单一人体部位（如脸部皮肤）进行稳定、非接触式的血压监测，存在一定的缺陷。
 技术解决方案
本发明的目的在于提供一种基于多光谱脉搏波的非接触血压监测方法及装置，以解决上述背景技术中提到的问题。
为了达成上述目的，本发明的解决方案为：一种基于多光谱脉搏波的非接触血压监测方法，包括：
S1、通过多光谱光学成像设备获取待监测者包含人体皮肤的连续视频图像，选择视频图像中有效的皮肤区域，从皮肤区域像素中提取多个波段在时域上的脉搏波信号；
S2、利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解，再从分解后的绿光和近红外光脉搏波信号中提取脉搏波传导时间；
S3、利用多项式回归法建立脉搏波传导时间与血压间的回归模型，对血压进行校准和连续动态估测，完成血压值的监测。
进一步地，所述多光谱光学成像设备包括光源发射器和摄像头；所述光源发射器前设有偏振片一；所述摄像头上设有摄像头传感器，摄像头传感器前设有垂直于光源偏振方向的偏振片二。
更进一步地，所述光源发射器为具备连续宽带光谱的Phosphor LED光源。
进一步地，所述摄像头传感器为RGB摄像头传感器和NIR传感器。
进一步地，所述皮肤区域像素中提取的多个波段信号为B-G-IR三通道时域信号，所述B-G-IR中的三个波段分别为B（450 nm±10 nm）- G（550 nm±10 nm）- IR（805 nm±10 nm）；所述B-G-IR三通道时域信号在进行简单的去趋势和带通滤波后，去除了信号中的非脉搏波成分，生成了三通道脉搏波信号。
进一步地，所述绿光波段的脉搏波信号代表为小动脉中的血液搏动量。
更进一步地，所述近红外光波段的脉搏波信号代表为动脉中的血液搏动量。
进一步地，所述分解后的绿光和近红外光脉搏波信号在提取脉搏波传导时间时，通过检测绿光波段的脉搏波信号和近红外光波段的脉搏波信号的收缩期波峰，来计算同一心动周期中不同波段脉搏波信号的收缩期波峰间距，计算的波峰间距为脉搏波传导时间。
一种基于多光谱脉搏波的非接触血压监测装置，包括：
多光谱光学成像设备，用于采集并获取包含人体皮肤的连续视频图像；
多光谱脉搏波信号提取模块，用于提取皮肤像素中多个波段在时域上的脉搏波信号；
脉搏波信号降噪及分离模块，利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解；
脉搏波传导时间估测模块，用于提取分解后绿光和近红外光脉搏波信号中的脉搏波传导时间；
血压校准模块，用于校准提取的脉搏波传导时间，获取校准的回归模型参数，生成血压的连续动态估测值。
进一步地，所述装置还包括UI显示界面，用于显示监测视频和监测获取的血压值。
 有益效果
本发明对照现有技术的有益效果是：
本发明通过采用单枚摄像头获取人体皮肤的连续视频图像，使获取的图像可以可同时在可见光和近红外中进行脉搏波信号数据的提取，显著增强了不同波段在脉搏波信号监测上的独立性，进而通过提取的脉搏波信号数据计算同一心动周期中不同波段脉搏波信号的收缩期波峰间距，得出脉搏波传导时间，以便通过脉搏波传导时间与血压建立回归模型，校准连续动态估测血压参数，获取更加准确的血压数据；而多光谱脉搏波信号的利用可以对监测中出现的运动干扰和环境噪声进行抑制，进一步提高了监测的准确度。
 附图说明
图1为本发明的方法流程图；
图2为本发明的血压监测装置的结构框图。
 本发明的实施方式
下面详细描述本发明的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本发明，而不能理解为对本发明的限制。
实施例
如图1-2所示，一种基于多光谱脉搏波的非接触血压监测方法，包括：
S1、通过多光谱光学成像设备获取待监测者包含人体皮肤的连续视频图像，选择视频图像中有效的皮肤区域，从皮肤区域像素中提取多个波段在时域上的脉搏波信号；本实施例中，所述多光谱光学成像设备包括光源发射器和摄像头；所述光源发射器前设有偏振片一；所述摄像头上设有摄像头传感器，摄像头传感器前设有垂直于光源偏振方向的偏振片二；本实施例中，所述光源发射器为具备连续宽带光谱的Phosphor LED光源；本实施例中，所述摄像头传感器为RGB摄像头传感器和NIR传感器；本实施例中，所述皮肤区域像素中提取的多个波段信号为B-G-IR三通道时域信号，所述B-G-IR中的三个波段分别为B（450 nm±10 nm）- G（550 nm±10 nm）- IR（805 nm±10 nm）；所述B-G-IR三通道时域信号在进行简单的去趋势和带通滤波后，去除了信号中的非脉搏波成分，生成了三通道脉搏波信号；其中，所述皮肤区域可以为人体的脸部皮肤区域；所述摄像头传感器配有三波段窄带滤光片，用于提取皮肤区域像素中的波段信号；所述光源发射器采用具备连续宽带光谱的Phosphor LED光源后，产生的连续光谱包含可见光和近红外波段（450-950 nm），发射的光子经过偏振片一后成为单一振动方向照向人体皮肤，光源发射的偏振光子经过皮肤组织的吸收、散射后反射而出才可通过摄像头一侧的偏振片二，这个过程为去偏振化过程，这样就会使得未进入皮肤组织的镜面反射光无法通过，从而使得偏振光能确保视频主要监测的是来自皮肤组织层包含生理信息的漫反射信号；本实施例中，所述光源发射器的偏振片一是0°，而摄像头传感器的偏振片二是90°，如此设置可以使偏振片的偏振方向垂直，从而达到抑制皮肤镜面反射的目的，保证了拍摄清晰度；而摄像头传感器处的偏振片二可以改变光的振动方向，摄像头传感器的三波段窄带滤光片会强制将摄像头的拍摄通道由R-G-B通道转换成窄带B-G-IR通道，具体将采用B（450 nm±10 nm）- G（550 nm±10 nm）- IR（805 nm±10 nm）这三个波段，窄波段的使用可增强波段间的独立性，强化对不同组织层生理信息的感知，使单枚摄像头可同时获取可见光和近红外中的图像画面；且B-G-IR三通道时域信号在进行简单的去趋势和带通滤波后，可以有效减少噪声感染，保证了信号的精确、稳定传输；
S2、利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解，再从分解后的绿光和近红外光脉搏波信号中提取脉搏波传导时间；本实施例中，所述绿光波段的脉搏波信号代表为小动脉中的血液搏动量；本实施例中，所述近红外光波段的脉搏波信号代表为动脉中的血液搏动量；本实施例中，所述分解后的绿光和近红外光脉搏波信号在提取脉搏波传导时间时，通过检测绿光波段的脉搏波信号和近红外光波段的脉搏波信号的收缩期波峰，来计算同一心动周期中不同波段脉搏波信号的收缩期波峰间距，计算的波峰间距为脉搏波传导时间；其中，蓝光波段的脉搏波信号作为参考信号，对绿光波段和近红外光波段的脉搏波信号进行成分分解时，因蓝光波段的脉搏波信号的光子仅能抵达皮下<0.5 mm，其主要感测的是表皮层的生理信息（即动脉搏动对毛细血管的机械性挤压），因此可以移除绿光波段和近红外光波段的脉搏波信号中皮肤浅层组织的非搏动性血液的干扰，使绿光波段和近红外光波段的脉搏波信号更加纯净；而提取脉搏波传导时间是通过峰值检测算法进计算的，通过检测绿光波段的脉搏波信号和近红外光波段的脉搏波信号的收缩期波峰，可以计算出同一心动周期中不同波段脉搏波信号的收缩期波峰间距（即PTT特征）；
S3、利用多项式回归法建立脉搏波传导时间与血压间的回归模型，对血压进行校准和连续动态估测，完成血压值的监测；其中，利用多项式回归法建立脉搏波传导时间与血压间的回归模型时，血压包括收缩压，舒张压，平均血压这几个部分，收缩压，舒张压，平均血压这些数据通过用户的标准监护仪中获取，血压校准模型则是从多光谱偏振光信号中提取特征，通过模型映射到血压值上来获得的，进而使得校准后的连续动态估测数据也包括收缩压，舒张压，平均血压，最终获得准确的收缩压，舒张压，平均血压数值。
作为本发明一个优选的实施例，还包括一种基于多光谱脉搏波的非接触血压监测装置，包括：
多光谱光学成像设备，用于采集并获取包含人体皮肤的连续视频图像；
多光谱脉搏波信号提取模块，用于提取皮肤像素中多个波段在时域上的脉搏波信号；
脉搏波信号降噪及分离模块，利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解；
脉搏波传导时间估测模块，用于提取分解后绿光和近红外光脉搏波信号中的脉搏波传导时间；
血压校准模块，用于校准提取的脉搏波传导时间，获取校准的回归模型参数，生成血压的连续动态估测值。
本实施例中，所述装置还包括UI显示界面，用于显示监测视频和监测获取的血压值；
综上，本发明所提供的一种基于多光谱脉搏波的非接触血压监测方法及装置，通过采用单枚摄像头获取人体皮肤的连续视频图像，使获取的图像可以可同时在可见光和近红外中进行脉搏波信号数据的提取，显著增强了不同波段在脉搏波信号监测上的独立性，进而通过提取的脉搏波信号数据计算同一心动周期中不同波段脉搏波信号的收缩期波峰间距，得出脉搏波传导时间，以便通过脉搏波传导时间与血压建立回归模型，校准连续动态估测血压参数，获取更加准确的血压数据；而多光谱脉搏波信号的利用可以对监测中出现的运动干扰和环境噪声进行抑制，进一步提高了监测的准确度。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不应理解为必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。此外，本领域的技术人员可以将本说明书中描述的不同实施例或示例进行接合和组合。
尽管上面已经示出和描述了本发明的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本发明的限制，本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (10)

  1. 一种基于多光谱脉搏波的非接触血压监测方法，其特征在于，包括：
    S1、通过多光谱光学成像设备获取待监测者包含人体皮肤的连续视频图像，选择视频图像中有效的皮肤区域，从皮肤区域像素中提取多个波段在时域上的脉搏波信号；
    S2、利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解，再从分解后的绿光和近红外光脉搏波信号中提取脉搏波传导时间；
    S3、利用多项式回归法建立脉搏波传导时间与血压间的回归模型，对血压进行校准和连续动态估测，完成血压值的监测。
  2. 如权利要求1所述的一种基于多光谱脉搏波的非接触血压监测方法，其特征在于：所述多光谱光学成像设备包括光源发射器和摄像头；所述光源发射器前设有偏振片一；所述摄像头上设有摄像头传感器，摄像头传感器前设有垂直于光源偏振方向的偏振片二。
  3. 如权利要求2所述的一种基于多光谱脉搏波的非接触血压监测方法，其特征在于：所述光源发射器为具备连续宽带光谱的Phosphor LED光源。
  4. 如权利要求2所述的一种基于多光谱脉搏波传导时间的非接触血压监测方法，其特征在于：所述摄像头传感器为RGB摄像头传感器和NIR传感器。
  5. 如权利要求1所述的一种基于多光谱脉搏波传导时间的非接触血压监测方法，其特征在于：所述皮肤区域像素中提取的多个波段信号为B-G-IR三通道时域信号，所述B-G-IR中的三个波段分别为B（450 nm±10 nm）- G（550 nm±10 nm）- IR（805 nm±10 nm）；所述B-G-IR三通道时域信号在进行简单的去趋势和带通滤波后，去除了信号中的非脉搏波成分，生成了三通道脉搏波信号。
  6. 如权利要求1所述的一种基于多光谱脉搏波的非接触血压监测方法，其特征在于：所述绿光波段的脉搏波信号代表为小动脉中的血液搏动量。
  7. 如权利要求6所述的一种基于多光谱脉搏波的非接触血压监测方法，其特征在于：所述近红外光波段的脉搏波信号代表为动脉中的血液搏动量。
  8. 如权利要求7所述的一种基于多光谱脉搏波的非接触血压监测方法，其特征在于：所述分解后的绿光和近红外光脉搏波信号在提取脉搏波传导时间时，通过检测绿光波段的脉搏波信号和近红外光波段的脉搏波信号的收缩期波峰，来计算同一心动周期中不同波段脉搏波信号的收缩期波峰间距，计算的波峰间距为脉搏波传导时间。
  9. 一种基于多光谱脉搏波的非接触血压监测装置，其特征在于，包括：
    多光谱光学成像设备，用于采集并获取包含人体皮肤的连续视频图像；
    多光谱脉搏波信号提取模块，用于提取皮肤像素中多个波段在时域上的脉搏波信号；
    脉搏波信号降噪及分离模块，利用多光谱脉搏波信号中蓝光波段的脉搏波信号来对绿光波段和近红外光波段的脉搏波信号进行降噪和成分分解；
    脉搏波传导时间估测模块，用于提取分解后绿光和近红外光脉搏波信号中的脉搏波传导时间；
    血压校准模块，用于校准提取的脉搏波传导时间，获取校准的回归模型参数，生成血压的连续动态估测值。
  10. 如权利要求9所述的一种基于多光谱脉搏波的非接触血压监测装置，其特征在于：还包括UI显示界面，用于显示监测视频和监测获取的血压值。
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