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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 respiratory frequency is between 0.18 and 0.40 Hz, and the error is large when it is less than 0.18 Hz

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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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Embodiment 1

[0058] See figure 1 , figure 1 It is a flow chart of the respiration rate monitoring method based on the multispectral PPG blind source separation method of the present invention. The respiration rate monitoring method based on the multispectral PPG blind source separation method generally includes the following steps:

[0059] S1, synchronously collect individual multispectral PPG signals, the multispectral PPG signals at least include PPG signals of two bands, such as red channel (660nm) and infrared channel (940nm).

[0060] S2, perform simple preprocessing on the original multispectral PPG signal obtained from the optical sensor, such as filtering, separating low-frequency signals (respiratory components) and high-frequency signals (heart rate signals).

[0061] S3, extracting the respiratory signal from the PPG signal containing at least two bands by means of multi-channel fusion. The multi-channel fusion method specifically adopts the blind source separation algorithm...

Embodiment 2

[0080] See figure 2 , figure 2 It is a structural block diagram of the respiratory rate monitoring device based on the multispectral PPG blind source separation method of the present invention. The respiration rate monitoring device based on the multispectral PPG blind source separation method is provided with:

[0081] Multi-spectral PPG sensor 1: The multi-spectral PPG sensor 1 supports at least two bands (for example, red and infrared bands), and is used to collect PPG signals with at least two channels.

[0082] Computing chip 2: used to perform computing tasks.

[0083] Preprocessing module 3: used to perform simple preprocessing on the original multispectral PPG signal obtained from the multispectral PPG sensor 1, such as filtering, separating low-frequency signals (respiratory components) and high-frequency signals (heart rate signals).

[0084] Respiratory signal extraction module 4: for extracting respiratory signals from the low-frequency respiratory components ...

Embodiment 3

[0091] A healthy adult volunteer was recruited, and a multi-spectral PPG sensing device (including two band signals: red band (650nm) and infrared band (940nm)) was used to fix it on the chest of the volunteer. Three different experimental protocols were used to verify the feasibility and sensitivity of multispectral PPG monitoring respiratory signals. Experimental results such as Figure 3-5 shown. Each figure contains the PPG signal (respiratory frequency band [0,30] Hz) generated in this experiment, the PPG spectrogram, and the respiratory signal calculated by the blind source separation method (principal component analysis method PCA).

[0092] image 3 In the experiment shown, the test subject took three normal breaths (approximately 15 Hz breathing rate) and two held breaths (0 Hz). Figure 4 In the experiment shown, the subject took three normal breaths (approximately 15 Hz breathing rate) and two rapid breaths (greater than 20 Hz breathing rate). Figure 5 In the e...

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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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