Hurst Exponent Based Brain Behavior Analysis of Stroke Patients Using EEG Signals-Reference-Cited by-同舟云学术

Hurst Exponent Based Brain Behavior Analysis of Stroke Patients Using EEG Signals

Published:2020-07-08 Issue: Volume: Page:925-933
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Choong Wen Yean,Khairunizam Wan,Murugappan Murugappan,Omar Mohammad Iqbal,Bong Siao Zheng,Junoh Ahmad Kadri,Razlan Zuradzman Mohamad,Shahriman A. B.,Mustafa Wan Azani Wan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5281-6_66

Reference38 articles.

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2. Robinson RG, Jorge RE (2016) Post-stroke depression: a review. Am J Psychiatry 173:221–231

3. Cheah WK, Hor CP, Zariah AA, Looi I (2016) A review of stroke research in Malaysia from 2000–2014. Med J Malaysia 71:58–69

4. Yuvaraj R, Murugappan M, Norlinah MI, Sundaraj K, Khairiyah M (2013) Review of emotion recognition in stroke patients. Dement Geriatr Cogn Disord 36:179–196

5. Choong WY, Khairunizam W, Omar MI, Murugappan M, Bong SZ, Shahriman AB, Zuradzman MR, Zunaidi I (2018) Analysis of the distance metrics of KNN classifier for EEG signal in stroke patients. In: 2018 International conference on computational approach in smart system design and applications, Kuching, Malaysia. IEEE, pp 1–4

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