Development and assessment of an emg-based exoskeleton system

IFMBE Proceedings

Volumn 31 IFMBE, Issue , 2010, Pages 648-650

  Lee, M H ^a   Son, J ^a   Kim, J Y ^a   Kim, Y H ^a  

^a Yonsei University Wonju   (South Korea)

Author keywords

Elbow Joint Motion; EMG based exoskeleton; Rehabilitation Training; Upper Limb

Indexed keywords

ASSISTIVE; ELBOW FLEXOR; ELBOW JOINTS; EMG SIGNAL; EMG-BASED CONTROL; EMG-BASED EXOSKELETON; EXOSKELETON SYSTEMS; HEMIPLEGIC PATIENTS; REHABILITATION PROGRAMS; REHABILITATION TRAINING; THRESHOLD LEVELS; UPPER EXTREMITY; UPPER LIMBS;

BIOMECHANICS; BIOMEDICAL ENGINEERING; BIOPHYSICS; DC MOTORS; PATIENT REHABILITATION;

TECHNICAL PRESENTATIONS;

EID: 77958010854     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-14515-5_165     Document Type: Conference Paper

References (4)

1. Hu X, Tong K, Song R et al. (2009) Quantitative Evaluation of Motor Functional Recovery Process in Chronic Stroke Patients During Robot-Assisted Wrist Training. J. Electromyo Kin 19:639-650
2. Volpe B, Krebs H, Hogan N et al. (2000) A Novel Approach to Stroke Rehabilitation: Robot-Aided Sensorimotor Stimulation. Neurology 54:1938-1944
3. Fasoil S, Krebs H, Matchar D et al. (2003) Effects of Robotic Therapy on Motor Impairment and Recovery in Chronic Stroke. Arch Phys Med Rehabil 84:477-481
4. Potvin J, Brown S (2004) Less Is More: High Pass Filtering, to Remove up to 99% of the Surface EMG Signal Power, Improves EMGBased Biceps Brachii Muscle Force Estimates. J. Electromyo Kin 14: 389-399