Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation.
This paper is focused on the multimodal analysis of patient performance, carried out by means of robotic technology and wearable sensors, and aims at providing quantitative measure of biomechanical and motion planning features of arm motor control following rehabilitation. Upper-limb robotic therapy...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 49; no. 10; pp. 1131 - 1145 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | clinical trial research Journal Article |
| Publicado: |
Springer Nature
Oct2011
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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=104588304&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104588304 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Oct2011 vid: 49 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104588304 NLM21792622 2011318959 10.1007/s11517-011-0808-1 NLM21792622 104588304 ppf: 1131 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation. aug: au: Zollo L Rossini L Bravi M Magrone G Sterzi S Guglielmelli E Zollo, Loredana Rossini, Luca Bravi, Marco Magrone, Giovanni Sterzi, Silvia Guglielmelli, Eugenio affil: Laboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico, Rome, Italy sug: subj: Robotics Methods Stroke Rehabilitation Upper Extremity Physiopathology Adult Aged Aged, 80 and Over Female Human Male Middle Age Hemiplegia Physiopathology Hemiplegia Rehabilitation Physical Therapy Equipment and Supplies Recovery Robotics Equipment and Supplies Stroke Physiopathology Treatment Outcomes Clinical Trials Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: This paper is focused on the multimodal analysis of patient performance, carried out by means of robotic technology and wearable sensors, and aims at providing quantitative measure of biomechanical and motion planning features of arm motor control following rehabilitation. Upper-limb robotic therapy was administered to 24 community-dwelling persons with chronic stroke. Performance indices on patient motor performance were computed from data recorded with the InMotion2 robotic machine and a magneto-inertial sensor. Motor planning issues were investigated by means of techniques of motion decomposition into submovements. A linear regression analysis was carried out to study correlation with clinical scales. Robotic outcome measures showed a significant improvement of kinematic motor performance; improvement of dynamic components was more significant in resistive motion and highly correlated with MP. The analysis of motion decomposition into submovements showed an important change with recovery of submovement number, amplitude and order, tending to patterns measured in healthy subjects. Preliminary results showed that arm biomechanical functions can be objectively measured by means of the proposed set of performance indices. Correlation with MP is high, while correlation with FM is moderate. Features related to motion planning strategies can be extracted from submovement analysis. pubtype: Academic Journal doctype: clinical trial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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