Advanced biofeedback from surface electromyography signals using fuzzy system.
The aims of this study were to develop a fuzzy inference-based biofeedback system and investigate its effects when inducing active (shoulder elevation) and passive (relax) pauses on the trapezius muscle electromyographic (EMG) activity during computer work. Surface EMG signals were recorded from cla...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 48; no. 9; pp. 865 - 874 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104569311&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104569311 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2010 vid: 48 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104569311 NLM20582484 2010755598 10.1007/s11517-010-0651-9 NLM20582484 104569311 ppf: 865 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Advanced biofeedback from surface electromyography signals using fuzzy system. aug: au: Samani A Holtermann A Søgaard K Madeleine P Samani, Afshin Holtermann, Andreas Søgaard, Karen Madeleine, Pascal affil: Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg University, Aalborg East, Denmark sug: subj: Biofeedback Electromyography Methods Muscle, Skeletal Physiology Shoulder Joint Physiology Adult Computers and Computerization Cumulative Trauma Disorders Prevention and Control Logic Human Male Occupational Diseases Prevention and Control Signal Processing, Computer Assisted Young Adult Adult: 19-44 years Male ab: The aims of this study were to develop a fuzzy inference-based biofeedback system and investigate its effects when inducing active (shoulder elevation) and passive (relax) pauses on the trapezius muscle electromyographic (EMG) activity during computer work. Surface EMG signals were recorded from clavicular, descending (bilateral) and ascending parts of the trapezius muscles during computer work. The fuzzy system readjusted itself based on the history of previous inputs. The effect of feedback was assessed in terms of muscle activation regularity and amplitude. Active pause resulted in non-uniform muscle activity changes in the trapezius muscle depicted by increase and decrease of permuted sample entropy in ascending and clavicular parts of trapezius, respectively (P < 0.05) compared with no pause. Concomitantly, the normalized root mean square of EMG increased approximately 5% in descending part of trapezius bilaterally (P < 0.01). These findings confirm that advanced feedback can change the pattern of muscle activation. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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