Detection of Attempted Stroke Hand Motions from Surface EMG

Mads Rovsing Jochumsen; Asim Waris; Imran Khan Niazi

doi:10.1007/978-3-030-70316-5_8

Detection of Attempted Stroke Hand Motions from Surface EMG

Mads Rovsing Jochumsen^*, Asim Waris, Imran Khan Niazi

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

Brain-Computer Interfaces have been proposed for stroke rehabilitation, but a potential problem with this technology is the dependence of high-quality brain signals. The aim of this study was to investigate if attempted hand open motions can be detected from the muscle activity instead. Ten stroke patients performed 63 ± 7 attempted movements while three channels of EMG were recorded. Hudgins time-domain features and linear discriminant analysis were used, and 92 ± 3% of the movement activity was correctly classified. The Spearman correlation between the upper limb Fugl-Meyer score and the classification accuracies was 0.58 (P = 0.08). In conclusion, attempted movements from stroke patients can be detected using EMG.

Originalsprog	Engelsk
Titel	Converging Clinical and Engineering Research on Neurorehabilitation IV : Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020
Antal sider	6
Forlag	Springer
Publikationsdato	2022
Sider	47-52
ISBN (Trykt)	978-3-030-70315-8, 978-3-030-70318-9
ISBN (Elektronisk)	978-3-030-70316-5
DOI	https://doi.org/10.1007/978-3-030-70316-5_8
Status	Udgivet - 2022
Begivenhed	5th International Conference on NeuroRehabilitation - Virtual, Vigo, Spanien Varighed: 13 okt. 2020 → 16 okt. 2020

Konference

Konference	5th International Conference on NeuroRehabilitation
Lokation	Virtual
Land/Område	Spanien
By	Vigo
Periode	13/10/2020 → 16/10/2020

Navn	Biosystems and Biorobotics
Vol/bind	28
ISSN	2195-3562

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10.1007/978-3-030-70316-5_8

ICNR_Paper1Accepteret manuskript, 326 KB

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Jochumsen, M. R., Waris, A., & Niazi, I. K. (2022). Detection of Attempted Stroke Hand Motions from Surface EMG. I Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020 (s. 47-52). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-70316-5_8

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title = "Detection of Attempted Stroke Hand Motions from Surface EMG",

abstract = "Brain-Computer Interfaces have been proposed for stroke rehabilitation, but a potential problem with this technology is the dependence of high-quality brain signals. The aim of this study was to investigate if attempted hand open motions can be detected from the muscle activity instead. Ten stroke patients performed 63 ± 7 attempted movements while three channels of EMG were recorded. Hudgins time-domain features and linear discriminant analysis were used, and 92 ± 3% of the movement activity was correctly classified. The Spearman correlation between the upper limb Fugl-Meyer score and the classification accuracies was 0.58 (P = 0.08). In conclusion, attempted movements from stroke patients can be detected using EMG.",

author = "Jochumsen, {Mads Rovsing} and Asim Waris and Niazi, {Imran Khan}",

note = "This work was funded by VELUX FONDEN (project no. 22357).; 5th International Conference on NeuroRehabilitation, ICNR2020 ; Conference date: 13-10-2020 Through 16-10-2020",

year = "2022",

doi = "10.1007/978-3-030-70316-5_8",

language = "English",

isbn = "978-3-030-70315-8",

series = "Biosystems and Biorobotics",

publisher = "Springer",

pages = "47--52",

booktitle = "Converging Clinical and Engineering Research on Neurorehabilitation IV",

address = "Germany",

}

Jochumsen, MR, Waris, A & Niazi, IK 2022, Detection of Attempted Stroke Hand Motions from Surface EMG. i Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020. Springer, Biosystems and Biorobotics, bind 28, s. 47-52, 5th International Conference on NeuroRehabilitation, Vigo, Spanien, 13/10/2020. https://doi.org/10.1007/978-3-030-70316-5_8

Detection of Attempted Stroke Hand Motions from Surface EMG. / Jochumsen, Mads Rovsing; Waris, Asim; Niazi, Imran Khan.
Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020. Springer, 2022. s. 47-52 (Biosystems and Biorobotics, Bind 28).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Detection of Attempted Stroke Hand Motions from Surface EMG

AU - Jochumsen, Mads Rovsing

AU - Waris, Asim

AU - Niazi, Imran Khan

N1 - This work was funded by VELUX FONDEN (project no. 22357).

PY - 2022

Y1 - 2022

N2 - Brain-Computer Interfaces have been proposed for stroke rehabilitation, but a potential problem with this technology is the dependence of high-quality brain signals. The aim of this study was to investigate if attempted hand open motions can be detected from the muscle activity instead. Ten stroke patients performed 63 ± 7 attempted movements while three channels of EMG were recorded. Hudgins time-domain features and linear discriminant analysis were used, and 92 ± 3% of the movement activity was correctly classified. The Spearman correlation between the upper limb Fugl-Meyer score and the classification accuracies was 0.58 (P = 0.08). In conclusion, attempted movements from stroke patients can be detected using EMG.

AB - Brain-Computer Interfaces have been proposed for stroke rehabilitation, but a potential problem with this technology is the dependence of high-quality brain signals. The aim of this study was to investigate if attempted hand open motions can be detected from the muscle activity instead. Ten stroke patients performed 63 ± 7 attempted movements while three channels of EMG were recorded. Hudgins time-domain features and linear discriminant analysis were used, and 92 ± 3% of the movement activity was correctly classified. The Spearman correlation between the upper limb Fugl-Meyer score and the classification accuracies was 0.58 (P = 0.08). In conclusion, attempted movements from stroke patients can be detected using EMG.

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DO - 10.1007/978-3-030-70316-5_8

M3 - Article in proceeding

SN - 978-3-030-70315-8

SN - 978-3-030-70318-9

T3 - Biosystems and Biorobotics

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BT - Converging Clinical and Engineering Research on Neurorehabilitation IV

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Jochumsen MR, Waris A, Niazi IK. Detection of Attempted Stroke Hand Motions from Surface EMG. I Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020. Springer. 2022. s. 47-52. (Biosystems and Biorobotics, Bind 28). Epub 2021 okt. 2. doi: 10.1007/978-3-030-70316-5_8

Detection of Attempted Stroke Hand Motions from Surface EMG

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