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Titre : | Network of Movement and Proximity Sensors for Monitoring Upper-Extremity Motor Activity After Stroke: Proof of Principle (2014) |
Auteurs : | Brad Sokal ; Gitendra Uswatte ; Joydip Barman |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (2014/3, 2014) |
Article en page(s) : | p. 499-505 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Accident vasculaire cérébral (AVC) ; Membre supérieur ; Rééducation et réadaptation |
Mots-clés: | Arm ; Outcome and Process Assessment (Health Care) ; Évaluation des résultats et des processus en soins de santé ; Paresis ; Parésie ; Stroke |
Résumé : |
Objective To test the convergent validity of an objective method, Sensor-Enabled Radio-frequency Identification System for Monitoring Arm Activity (SERSMAA), that distinguishes between functional and nonfunctional activity. Design Cross-sectional study. Setting Laboratory. Participants Participants (N=25) were ≥0.2 years poststroke (median, 9) with a wide range of severity of upper-extremity hemiparesis. Interventions Not applicable. Main Outcome Measures After stroke, laboratory tests of the motor capacity of the more-affected arm poorly predict spontaneous use of that arm in daily life. However, available subjective methods for measuring everyday arm use are vulnerable to self-report biases, whereas available objective methods only provide information on the amount of activity without regard to its relation with function. The SERSMAA consists of a proximity-sensor receiver on the more-affected arm and multiple units placed on objects. Functional activity is signaled when the more-affected arm is close to an object that is moved. Participants were videotaped during a laboratory simulation of an everyday activity, that is, setting a table with cups, bowls, and plates instrumented with transmitters. Observers independently coded the videos in 2-second blocks with a validated system for classifying more-affected arm activity. Results There was a strong correlation (r=.87, P<.001 between time that the more-affected arm was used for handling objects according to sersmaa and functional activity observers.> Conclusions The convergent validity of SERSMAA for measuring more-affected arm functional activity after stroke was supported in a simulation of everyday activity. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999313009295 |