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Gait-electrocardiogram RR interval correlation method based on Gaussian regression

A technique of Gaussian regression and Gaussian process regression, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of few studies on gait and ECG correlation

Inactive Publication Date: 2019-09-17
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
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Problems solved by technology

At present, the analysis of gait and ECG is a separate study of each subsystem, and there is little research on the correlation between gait and ECG

Method used

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  • Gait-electrocardiogram RR interval correlation method based on Gaussian regression
  • Gait-electrocardiogram RR interval correlation method based on Gaussian regression
  • Gait-electrocardiogram RR interval correlation method based on Gaussian regression

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Embodiment Construction

[0067] In order to make the technical solution of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0068] Parameter Description:

[0069] GC—gait cycle; ApEn—approximate entropy; SL—step size SampEn—sample entropy; SH—step height; FuzzyEn—fuzzy entropy; SW—step width C LZ —LZ complexity; SV—pace; C C0 —C0 complexity; SA—pace acceleration PSD—power spectral density; FA max — maximum deflection angle; CWT Cmorlet — complex morlet wavelet transform coefficient modulus; FA min — minimum deflection angle; CWT Cgaus —Complex Cgaus wavelet transform coefficient modulus; SV—pace; CWT mexh —coefficient modulus of Mexican hat wavelet transform; SA—acceleration of pace; F—fusion feature vector set; GPR-RQ—Gaussian process regression of quadratic rational kernel function; GPR-SE—Gaussian process regression of square exponential kernel function; GPR-M—Gaussian process regres...

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Abstract

The invention discloses a gait-electrocardiogram (ECG) RR interval correlation method based on Gaussian regression. The invention comprises the following steps: step 1, synchronously acquiring three-dimensional coordinate data of motions of a subject and corresponding ECG signals by using a three-dimensional motion tracking system and an ECG acquisition device, respectively; step 2, carrying out gait quantitative analysis, nonlinear analysis and time-frequency analysis on the three-dimensional coordinate data, extracting 17 features to form a feature vector, and providing a fusion method; step 3, pre-processing the ECG signals to extract RR intervals; step 4, constructing a Gaussian process regression (GPR) correlation prediction model between the gait features and the ECG RR intervals; and 5, training and testing the GPR model, and performing correlation prediction analysis. The invention has advantages of strong self-adaptation, easiness in realization, super-parameter self-adaptive acquisition, etc., has better robustness and generalization performance, and can better reveal correlation information between the gait and the ECG.

Description

technical field [0001] The invention relates to a gait-ECG RR interval correlation method based on Gaussian regression, and relates to various technical fields such as digital signal processing and machine learning, medical health, and human motion analysis. Background technique [0002] In recent years, with the improvement of human living standards, obesity and stress are multiple factors leading to cardiovascular diseases. At present, cardiovascular disease is one of the important reasons that threaten human life and health, especially for patients with cardiovascular disease, when exercising, excessive exercise causes physical discomfort or even sudden death and other particularly serious consequences. Cardiac arrhythmia is also an extremely common abnormal state of electrical activity, which can even lead to sudden death in severe cases. It also increasingly occurs in healthy people in the exercise environment. [0003] At present, gait analysis includes qualitative an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/0472A61B5/00A61B5/366
CPCA61B5/7203A61B5/725A61B5/7267A61B5/318A61B5/366
Inventor 王建中黄泽银曹九稳
Owner HANGZHOU DIANZI UNIV
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