Affiliation:
1. Jilin Agricultural University, China
2. Changchun Medical College, China
Abstract
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.
Subject
Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine
Reference10 articles.
1. Assessing the effect of selection with deltamethrin on biological parameters and detoxifying enzymes in Aedes aegypti (L.);Alvarez-Gonzalez LC;Pest Manag Sci,2017
2. Chemical synthesis of an indomethacin ester prodrug and its metabolic activation by human carboxylesterase 1;Takahashi M;Bioorg Med Chem Lett,2018
3. Effect of Marsilea quadrifolia on carbohydrate metabolic enzymes in alloxan induced diabetic rats;Karikalan G;J Pharm Investig,2017
4. "An eye for an eye leaves the whole world blind"-Mahatma Gandhi;Johnston B;Annals of Applied Biology,2019
5. Combined surface electromyography, near-infrared spectroscopy and acceleration recordings of muscle contraction: The effect of motion;Kauppi K;Journal of Innovative Optical Health Sciences,2017