Literature DB >> 3679259

Autoregressive modeling of surface EMG and its spectrum with application to fatigue.

O Paiss, G F Inbar.   

Abstract

Entities:  

Mesh:

Year:  1987        PMID: 3679259     DOI: 10.1109/tbme.1987.325918

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


× No keyword cloud information.
  9 in total

1.  Estimation of surface electromyogram spectral alteration using reduced-order autoregressive model.

Authors:  S Karlsson; J Yu
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

Review 2.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

3.  Surface electromyogram spectral characterization and motor unit activity during voluntary ramp contraction in men.

Authors:  K Seki; Y Miyazaki; M Watanabe; A Nagata; M Narusawa
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1991

4.  Order determination in autoregressive modeling of diastolic heart sounds.

Authors:  I Güler; M K Kiymik; N F Güler
Journal:  J Med Syst       Date:  1996-02       Impact factor: 4.460

5.  Dynamics of the sounds caused by partially occluded femoral arteries in dogs.

Authors:  Y M Akay; M Akay; W Welkowitz; S Lewkowicz; Y Palti
Journal:  Ann Biomed Eng       Date:  1994 Sep-Oct       Impact factor: 3.934

6.  Advances in processing of surface myoelectric signals: Part 1.

Authors:  R Merletti; L R Lo Conte
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

7.  Autoregressive modeling to assess stride time pattern stability in individuals with Huntington's disease.

Authors:  Helia Mahzoun Alzakerin; Yannis Halkiadakis; Kristin D Morgan
Journal:  BMC Neurol       Date:  2019-12-09       Impact factor: 2.474

8.  Discussion of the Influence of Multiscale PCA Denoising Methods with Three Different Features.

Authors:  Chizhou Zhang; Tao Sun
Journal:  Sensors (Basel)       Date:  2022-02-18       Impact factor: 3.576

Review 9.  Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses.

Authors:  Iris Kyranou; Sethu Vijayakumar; Mustafa Suphi Erden
Journal:  Front Neurorobot       Date:  2018-09-21       Impact factor: 2.650

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.