Predicting end-point locomotion from neuromuscular activities of people with spina bifida: A Self-Organizing and Adaptive technique for future implantable and non-invasive neural prostheses

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4203-4207

  Chang, Chia Lin ^a   Jin, Zhanpeng ^b   Cheng, Allen C ^c  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b University of Pittsburgh   (United States)

^c University of Pittsburgh   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDBACK; FORECASTING; MUSCLE; NEUROLOGY; POINT CONTACTS; PROSTHETICS;

ACCURATE PREDICTION; ADAPTIVE PREDICTIONS; ADAPTIVE TECHNIQUE; CLOSED-LOOP FEEDBACK; NEUROMUSCULAR ACTIVITY; PARALYZED PATIENTS; ROBUST REGRESSIONS; SPINAL CORD INJURIES (SCI);

NEURAL PROSTHESES;

ADOLESCENT; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHILD; COMPUTER INTERFACE; COMPUTER SIMULATION; ELECTROSTIMULATION; FEMALE; GAIT; HUMAN; LOCOMOTION; MALE; PHYSIOLOGY; PROSTHESES AND ORTHOSES; SELF HELP; SKELETAL MUSCLE; SPINAL DYSRAPHISM;

ADOLESCENT; ADULT; CHILD; COMPUTER SIMULATION; ELECTRIC STIMULATION; FEMALE; GAIT; HUMANS; LOCOMOTION; MALE; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); PROSTHESES AND IMPLANTS; SELF-HELP DEVICES; SPINAL DYSRAPHISM; USER-COMPUTER INTERFACE;

EID: 61849084749     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650136     Document Type: Conference Paper

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