ABSTRACT
Introduction
Study the relationship between the metabolic enzyme and the biological image, filtered by an adaptive filtering algorithm.
Objective
The research aims to In this study, human metabolic enzymes were evaluated by electrocardiogram and electromyogram images, and an adaptive filtering algorithm removed the noises in the images.
Methods
The electrocardiogram and electromyogram images at different periods were obtained, and the calculation method and application scope of the adaptive filtering algorithm were analysed.
Results
Adaptive filter was designed by the combination of adaptive filtering algorithm and dynamic information. Therefore, the artefact of the image was removed.
Conclusions
The adaptive filtering algorithm can effectively remove the noise or artefact in electrocardiogram and electromyogram signals. The optimal image information can be obtained. Level of evidence II; Therapeutic studies - investigation of treatment results.
Electromyogram; Electrocardiography; Enzyme; Fatigue
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Note: A was the ECG sequence diagram of the experimenter in the activity state, and B was the ECG sequence diagram after denoising by the adaptive filtering algorithm
Note: A was the ECG of the experimenter during the fatigue period, and B was the ECG of the experimenter after a 30-minute rest.
Note: A was EMG of rectus femoris when the experimenters were active, and B was EMG of rectus femoris after denoising by adaptive filtering algorithm.
Note: A was the EMG of the experimenter during fatigue period, and B was the EMG of the experimenter after a 30-minute rest.