Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals

Anurag Nishad; Abhay Upadhyay; Ram Bilas Pachori; U. Rajendra Acharya

doi:10.1016/j.future.2018.10.005

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Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals

Anurag Nishad Abhay Upadhyay Ram Bilas Pachori U. Rajendra Acharya

Year: 2018 Journal: Future Generation Computer Systems Vol: 93 Pages: 96-110 Publisher: Elsevier BV

DOI: 10.1016/j.future.2018.10.005

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Keywords:

Computer science Artificial intelligence Pattern recognition (psychology) Wavelet transform Electromyography Filter bank Filter (signal processing) Wavelet Feature extraction Signal processing Computer vision Speech recognition Digital signal processing

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Muscle activation and electromyography studies

Physical Sciences → Engineering → Biomedical Engineering

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals

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