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A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification
(2017-08-29)
A robust myoelectric pattern-recognition-system requires a system that should work in the real application as good as in the laboratory. However, this demand should be handled properly and rigorously to achieve a robust ...
Continuous Prediction of Shoulder Joint Angle in Real-Time
(2017-10-11)
Continuous prediction of dynamic joint angle
from surface electromyography (sEMG) signal is one of the
most important applications in rehabilitation area for stroke
survivors as these can directly reflect the user motor ...
INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE
(2017-10-11)
Because of the functionality of an index finger, the disability of its motion in the
modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the
recognition of the index finger motion ...
Adaptive Myoelectric Pattern Recognition for Arm Movement in Different Positions using Advanced Online Sequential Extreme Learning Machine
(2017-10-11)
The performance of the myoelectric pattern
recognition system sharply decreases when working in various
limb positions. The issue can be solved by cumbersome training
procedure that can anticipate all possible future ...
Real-time Classification of Finger Movements using Two-channel Surface Electromyography
(2017-10-11)
The use of a small number of Electromyography (EMG) channels for classifying the finger movement is a
challenging task. This paper proposes the recognition system for decoding the individual and combined
finger movements ...
A Novel Upper Limb Rehabilitation System with Self-Driven Virtual Arm Illusion
(2017-10-11)
This paper proposes a novel upper extremity
rehabilitation system with virtual arm illusion. It aims for fast
recovery from lost functions of the upper limb as a result of
stroke to provide a novel rehabilitation system ...
Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees
(2017-10-11)
The success of myoelectric pattern recognition (M-PR) mostly relies on the features extracted and
classifier employed. This paper proposes and evaluates a fast classifier, extreme learning machine (ELM),
to classify ...