EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study. - Wikidata - awgldk - TriplyDB

EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study.

EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study.

http://www.wikidata.org/entity/Q37060031

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Decoding upper limb residual muscle activity in severe chronic stroke.Advanced Myoelectric Control for Robotic Hand-Assisted Training: Outcome from a Stroke Patient.A Longitudinal Electromyography Study of Complex Movements in Poststroke Therapy. 1: Heterogeneous Changes Despite Consistent Improvements in Clinical Assessments.A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.Ranking hand movements for myoelectric pattern recognition considering forearm muscle structure.Implementation of a Surface Electromyography-Based Upper Extremity Exoskeleton Controller Using Learning from Demonstration.Artificial neural network EMG classifier for functional hand grasp movements prediction.sEMG Signal Acquisition Strategy towards Hand FES Control.

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P2860

EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study.

http://www.wikidata.org/entity/Q37060031

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article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 15 July 2013

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

EMG-based pattern recognition ...... litation: a feasibility study.

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EMG-based pattern recognition ...... litation: a feasibility study.

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EMG-based pattern recognition ...... litation: a feasibility study.

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EMG-based pattern recognition ...... litation: a feasibility study.

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EMG-based pattern recognition ...... litation: a feasibility study.

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EMG-based pattern recognition ...... litation: a feasibility study.

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Journal of NeuroEngineering and Rehabilitation

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EMG-based pattern recognition ...... ilitation: a feasibility study

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Benedetta Cesqui

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Hermano Igo Krebs

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Silvestro Micera

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P2860

Review of control strategies for robotic movement training after neurologic injury

The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance

Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Arm function after stroke: from physiology to recovery.

Subject-specific myoelectric pattern classification of functional hand movements for stroke survivors.

Control of multifunctional prosthetic hands by processing the electromyographic signal.

Neuroplasticity subserving motor skill learning

Recent trends in robot-assisted therapy environments to improve real-life functional performance after stroke.

Maladaptive plasticity for motor recovery after stroke: mechanisms and approaches.

Design strategies to improve patient motivation during robot-aided rehabilitation

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