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Online ISSN : 2407-8964
Print ISSN : 1907-7904
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Improving the Accuracy of Upper Limb Exoskeleton Movements Using Machine Learning Based on EMG for Stroke Patient Rehabilitation

DOI : 10.35882/76cntw33
Imran Hamid (1), Dr. Triwiyanto, S.Si, MT (2), Bedjo Utomo, SKM, M.Kes (3)
(1) Department of medical electronics technology, poltekkes kemenkes surabaya,RSUD Labuang Baji Makassar, Indonesia ,
(2) Department of medical electronics technology, poltekkes kemenkes surabaya, Indonesia ,
(3) Department of medical electronics technology, poltekkes kemenkes surabaya, Indonesia
18-31
Abstract : 311
PDF : 94
DOI : 10.35882/76cntw33

Embedded Machine Learning on ESP32 for Upper-Limb Exoskeletons Based on EMG

DOI : 10.35882/jteknokes.v18i4.134
Triwiyanto Triwiyanto (1), Anita Miftahul Maghfiroh (2), Levana Forra Wakidi (3), Syevana Dita Musvika (4), Bedjo Utomo (5), Sumber Sumber (6), Priyambada Cahya Nugraha (7), Wahyu Caesarendra (8)
(1) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(2) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(3) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(4) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(5) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(6) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(7) Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya, Indonesia, Indonesia ,
(8) Department of Mechanical and Mechatronics Engineering, Curtin University, Sarawak, Malaysia, Malaysia
303-310
Abstract : 126
pdf : 74
DOI : 10.35882/jteknokes.v18i4.134
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  • Organized by: Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya Indonesia
  • Institution Website: https://poltekkesdepkes-sby.ac.id
  • Published by: Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya Indonesia
  • Journal Website: https://teknokes.org/index.php/teknokes/index
  • e-ISSN: 2407-8964, p-ISSN: 1907-7904
  • Address: Pucang Jajar Timur No.10, Surabaya, East Java, Indonesia

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  • Phone: +6231-5037905; Fax.: +6231-5025609
  • Email: teknokes@poltekkesdepkes-sby.ac.id | triwi@poltekkesdepkes-sby.ac.id 
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