Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors

Husamuldeen Khalid HameedDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia; Correspondence[email protected]

http://orcid.org/0000-0001-5112-1986

Wan Zuha Wan HasanDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia;

Suhaidi ShafieInstitute of Advanced Technology (ITMA), Universiti Putra Malaysia, Selangor, Malaysia;

Siti Anom AhmadDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia;

Haslina JaafarDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia;

Liyana Najwa Inche MatDepartment of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia

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Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors

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Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors

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