Classification of hand movements of stroke patients using combination of statistical features and artificial neural network-Reference-Cited by-同舟云学术

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Classification of hand movements of stroke patients using combination of statistical features and artificial neural network

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:THE 5TH INTERNATIONAL CONFERENCE ON BIOSCIENCE AND BIOTECHNOLOGY
language:
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Author:

Narudin S. K.,Nasir Noorhamizah Mohamed,Joret Ariffuddin,Fuad N.,Ibrahim B. S. K. K.,Huq M. S.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0162129

Reference14 articles.

1. EEG Signal Classification for BCI based on Neural Network

2. Brain computer interface: A review

3. Chaudhari, R. & Galiyawala, “H. J. A Review on Motor Imagery Signal Classification for BCI”, Signal Processing: An International Journal (SPIJ), (2017), 11, 16–34.

4. Quantification of Upper Limb Motor Recovery and EEG Power Changes after Robot-Assisted Bilateral Arm Training in Chronic Stroke Patients: A Prospective Pilot Study

5. P. Pandey, M. Kumar, and P. Srivastava, “Classification techniques for big data: A survey,” 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, (2016), pp. 3625–3629.

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