Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery

Dongfang Xu; Yong Yang; Jingeng Mai; Qining Wang

doi:10.1109/CYBER46603.2019.9066606

Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery

Dongfang Xu
, Yong Yang
, Jingeng Mai
, Qining Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The paper proposes a capacitive sensing method for recognition of ankle movement imagery in one patient after amputation surgery. The designed capacitive sensing system can record deformation signals of the residual transtibial muscle. One transtibial amputee is asked to finish designed movements of ankle (intorsion, extorsion, introversion, extroversion, dorsiflexion and plantar-flexion) by motor imagery in the study. The total recognition accuracies for the six movements are 92.10% and 94.06% corresponding LDA and QDA classifiers, respectively, which shows that the capacitive sensing method is effective for recognizing the movements of ankle for the transtibial amputees.

Original language	English
Title of host publication	9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	998-1001
Number of pages	4
ISBN (Electronic)	9781728107691
DOIs	https://doi.org/10.1109/CYBER46603.2019.9066606
State	Published - Jul 2019
Externally published	Yes
Event	9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019 - Suzhou, China Duration: 29 Jul 2019 → 2 Aug 2019

Publication series

Name	9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019

Conference

Conference	9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019
Country/Territory	China
City	Suzhou
Period	29/07/19 → 2/08/19

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10.1109/CYBER46603.2019.9066606

Cite this

Xu, D., Yang, Y., Mai, J., & Wang, Q. (2019). Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery. In 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019 (pp. 998-1001). Article 9066606 (9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CYBER46603.2019.9066606

Xu, Dongfang ; Yang, Yong ; Mai, Jingeng et al. / Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery. 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 998-1001 (9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019).

@inproceedings{90e0af625b1c48a29479bc5d79edfa32,

title = "Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery",

abstract = "The paper proposes a capacitive sensing method for recognition of ankle movement imagery in one patient after amputation surgery. The designed capacitive sensing system can record deformation signals of the residual transtibial muscle. One transtibial amputee is asked to finish designed movements of ankle (intorsion, extorsion, introversion, extroversion, dorsiflexion and plantar-flexion) by motor imagery in the study. The total recognition accuracies for the six movements are 92.10\% and 94.06\% corresponding LDA and QDA classifiers, respectively, which shows that the capacitive sensing method is effective for recognizing the movements of ankle for the transtibial amputees.",

author = "Dongfang Xu and Yong Yang and Jingeng Mai and Qining Wang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019 ; Conference date: 29-07-2019 Through 02-08-2019",

year = "2019",

month = jul,

doi = "10.1109/CYBER46603.2019.9066606",

language = "英语",

series = "9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019",

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Xu, D, Yang, Y, Mai, J & Wang, Q 2019, Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery. in 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019., 9066606, 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019, Institute of Electrical and Electronics Engineers Inc., pp. 998-1001, 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019, Suzhou, China, 29/07/19. https://doi.org/10.1109/CYBER46603.2019.9066606

Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery. / Xu, Dongfang; Yang, Yong; Mai, Jingeng et al.
9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 998-1001 9066606 (9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The paper proposes a capacitive sensing method for recognition of ankle movement imagery in one patient after amputation surgery. The designed capacitive sensing system can record deformation signals of the residual transtibial muscle. One transtibial amputee is asked to finish designed movements of ankle (intorsion, extorsion, introversion, extroversion, dorsiflexion and plantar-flexion) by motor imagery in the study. The total recognition accuracies for the six movements are 92.10% and 94.06% corresponding LDA and QDA classifiers, respectively, which shows that the capacitive sensing method is effective for recognizing the movements of ankle for the transtibial amputees.

AB - The paper proposes a capacitive sensing method for recognition of ankle movement imagery in one patient after amputation surgery. The designed capacitive sensing system can record deformation signals of the residual transtibial muscle. One transtibial amputee is asked to finish designed movements of ankle (intorsion, extorsion, introversion, extroversion, dorsiflexion and plantar-flexion) by motor imagery in the study. The total recognition accuracies for the six movements are 92.10% and 94.06% corresponding LDA and QDA classifiers, respectively, which shows that the capacitive sensing method is effective for recognizing the movements of ankle for the transtibial amputees.

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Xu D, Yang Y, Mai J, Wang Q. Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery. In 9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 998-1001. 9066606. (9th IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2019). doi: 10.1109/CYBER46603.2019.9066606

Capacitive Sensing Based Recognition of Ankle Movement Imagery in Patients after Amputation Surgery

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