Respiration rate monitoring method and device based on multispectral PPG blind source separation method

A blind source separation and monitoring device technology, which is applied in the use of spectral diagnosis, evaluation of respiratory organs, diagnostic recording/measurement, etc., can solve problems such as large errors and complexities, and achieve the effect of simple algorithm, improved stability, and improved signal quality

Pending Publication Date: 2021-09-24
ZHONGSHAN HOSPITAL FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method is more complicated, and it can be seen that the error is small when the resp

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  • Respiration rate monitoring method and device based on multispectral PPG blind source separation method
  • Respiration rate monitoring method and device based on multispectral PPG blind source separation method
  • Respiration rate monitoring method and device based on multispectral PPG blind source separation method

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Example Embodiment

[0057] Example 1

[0058] See figure 1 , figure 1 It is a flow chart of a respiratory rate monitoring method based on multi-spectral PPG blind source separation method. The respiratory rate monitoring method based on multi-spectral PPG blind source separation method generally includes the following steps:

[0059] S1, synchronously collecting individual multi-spectral PPG signals, the multi-spectral PPG signal comprising at least two PPG signals such as red channel (660 nm) and infrared channel (940 nm).

[0060] S2, simple pretreatment of the original multi-spectral PPG signal obtained from the optical sensor, such as filtering, separating low frequency signals (breathing ingredients) and high frequency signals (heart rate signals).

[0061] S3, the respiratory signal is extracted from the PPG signal comprising at least two bands by multi-channel fusion. The method of multi-channel fusion specifically uses a blind source separation algorithm, i.e., separating a breathing signal s...

Example Embodiment

[0079] Example 2

[0080] See figure 2 , figure 2 It is a structural block diagram of a respiratory rate monitoring device based on multi-spectral PPG blind source separation method. The breathing rate monitoring device based on multi-spectral PPG blind source separation method is provided:

[0081] Multi-spectral PPG sensor 1: The multi-spectral PPG sensor 1 supports at least two bands (eg, red and infrared bands) for acquiring PPG signals of at least two channels.

[0082] Computing chip 2: Used to perform an operational task.

[0083] Pre-processing module 3: For simple pretreatment of the original multi-spectral PPG signal obtained from the multi-spectral PPG sensor 1, such as filtering, separating low frequency signals (breathing ingredients), and high frequency signals (heart rate signals).

[0084] Respiratory signal extraction module 4: A breathing signal is extracted from the low-frequency respiratory component separated from the pretreatment module 3 by multi-channel fus...

Example Embodiment

[0090] Example 3

[0091] Called a healthy adult volunteer using PPG multispectral sensing device (two-band signals comprises: a red wavelength band (650nm) and infrared (940nm)), is fixed to the chest of volunteers. Three different experimental protocols (experimental protocol) to verify the feasibility and sensitivity of multi-spectral PPG monitoring respiration signal. Experimental results Figure 3-5 Indicated. Each figure comprises a PPG signal (respiratory frequency [0,30] Hz) produced by the experiment, PPG spectrum, and blind source separation (principal component analysis PCA) calculated respiration signal.

[0092] image 3 Experiment shown, the tester three normal breathing (respiration rate of approximately 15Hz), two breath (0Hz). Figure 4 Experiment shown, the tester three normal breathing (respiration rate of approximately 15Hz), twice in rapid breathing (respiration rate greater than 20Hz). Figure 5 Experiment shown, the tester normal breathing three times, twice in...

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Abstract

The invention relates to a respiration rate monitoring method and device based on a multispectral PPG blind source separation method. The respiration rate monitoring method comprises the following steps that PPG signals at least comprising two wave bands of an individual are synchronously collected; respiratory signals are extracted from the PPG signals containing at least two wave bands through a multi-channel fusion method, and the multi-channel fusion method specifically adopts a blind source separation algorithm; and a respiratory rate is calculated based on the respiratory signals extracted from the multispectral PPG signal by a blind source separation method. The device is provided with a module for executing the method. According to the respiration rate monitoring method, breathing components are separated from the multispectral PPG signals, namely, the breathing components and noise components in the multispectral PPG signals are separated by using PPG signals of at least two wave bands as input through the blind source separation algorithm, then the breathing frequency is calculated by selecting the separated breathing components, so that the robustness and the stability of breathing signal extraction can be enhanced, and the purpose of stable, accurate and continuous monitoring is achieved.

Description

technical field [0001] The invention relates to the technical field of physiological parameter monitoring and biological signal processing, in particular to a method and device for monitoring respiration rate based on a multispectral PPG blind source separation method. Background technique [0002] Multispectral photoplethysmography (PPG) has been used in wearable professional medical devices such as finger oximeters to monitor heart rate and blood oxygen saturation. Most of the existing multispectral PPGs only contain two band signals, red band (650nm) and infrared band (940nm). The existing heart rate extraction uses the frequency information of the dual-band PPG between [40, 240] Hz; the blood oxygen saturation extraction uses the relative amplitude change information of the dual-band PPG between [40, 240] Hz. [0003] Respiratory frequency is a sensitive indicator of acute respiratory dysfunction, and it is also an important indicator to measure whether the human heart ...

Claims

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Application Information

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IPC IPC(8): A61B5/08A61B5/00
CPCA61B5/0816A61B5/7203A61B5/725A61B5/746A61B5/0075
Inventor 姜红王文锦
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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