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141227 - An EEG majority vote based BCI classification system for discrimination of hand motor attempts in stroke patients.pdf (1.34 MB)

An EEG majority vote based BCI classification system for discrimination of hand motor attempts in stroke patients

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conference contribution
posted on 2023-05-23, 14:48 authored by Xiaotong Gu, Cao, Z
Stroke patients have symptoms of cerebral functional disturbance that could aggressively impair patient's physical mobility, such as hand impairments. Although rehabilitation training from external devices is beneficial for hand movement recovery, for initiating motor function restoration purposes, there are still valuable research merits for identifying the side of hands in motion. In this preliminary study, we used an electroencephalogram (EEG) dataset from 8 stroke patients, with each subject conducting 40 EEG trials of left motor attempts and 40 EEG trials of right motor attempts. Then, we proposed a majority vote based EEG classification system for identifying the side in motion. In specific, we extracted 1-50 Hz power spectral features as input for a series of well-known classification models. The predicted labels from these classification models were compared and a majority vote based method was applied, which determined the finalised predicted label. Our experiment results showed that our proposed EEG classification system achieved 99:83 ± 0:42% accuracy, 99:98 ± 0:13% precision, 99:66 ± 0:84% recall, and 99:83 ± 0:43% f-score, which outperformed the performance of single well-known classification models. Our findings suggest that the superior performance of our proposed majority vote based EEG classification system has the potential for stroke patients' hand rehabilitation.

History

Publication title

Neural Information Processing 27th International Conference on Neural Information Processing

Volume

1333

Pagination

45-53

ISBN

9783030638238

Department/School

School of Information and Communication Technology

Publisher

Springer Nature Switzerland

Place of publication

Switzerland

Event title

27th International Conference on Neural Information Processing

Event Venue

Bangkok, Thailand

Date of Event (Start Date)

2020-11-18

Date of Event (End Date)

2020-11-22

Rights statement

Copyright 2020 Springer

Repository Status

  • Restricted

Socio-economic Objectives

Clinical health not elsewhere classified

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