Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time

Dollapom Anopas; Junquan Lin; Seng Kwee Wee; Peh Er Tow; Sing Yian Chew; Wei Tech Ang

doi:10.1109/ECTI-CON51831.2021.9454920

Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time

Dollapom Anopas, Junquan Lin, Seng Kwee Wee, Peh Er Tow, Sing Yian Chew, Wei Tech Ang

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

2 Citations (Scopus)

Abstract

Interlimb coordination is important for the enhancement of walking gait in spinal cord injured patients and many studies have recently attempted to dynamically map these movements for use in assistive devices. Nevertheless, there are many difficulties such as high variation of signal and lack of precise algorithms to extract continuous phases in real time. An improved phase learning to extract forelimb(s) and hindlimb phases from movements in real time is proposed. To quantify the performance of our proposed phase learning method, this phase learning is compared to Hilbert transform, a commonly used analytical method for offline process, with principal component analysis (PCA). The comparison between two methods demonstrated that a percentage of root mean square (RMS) time error between goal phase and output phase from our phase learning method is 7.94% as compared to that of Hilbert transform (7.44%). This phase learning that can extract phase in real time improves the analysis of interlimb coordination in robotic application.

Original language	English
Title of host publication	ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
Subtitle of host publication	Smart Electrical System and Technology, Proceedings
Editors	Yuttana Kumsuwan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	662-665
Number of pages	4
ISBN (Electronic)	9780738111278
DOIs	https://doi.org/10.1109/ECTI-CON51831.2021.9454920
Publication status	Published - May 19 2021
Externally published	Yes
Event	18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021 - Chiang Mai, Thailand Duration: May 19 2021 → May 22 2021

Publication series

Name	ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings

Conference

Conference	18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021
Country/Territory	Thailand
City	Chiang Mai
Period	5/19/21 → 5/22/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems
Electrical and Electronic Engineering
Instrumentation

Keywords

Hilbert transform
Neural network architecture
Phase learning
Standardized relative position

Access to Document

10.1109/ECTI-CON51831.2021.9454920

Cite this

Anopas, D., Lin, J., Wee, S. K., Er Tow, P., Chew, S. Y., & Tech Ang, W. (2021). Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time. In Y. Kumsuwan (Ed.), ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings (pp. 662-665). Article 9454920 (ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECTI-CON51831.2021.9454920

Anopas, Dollapom ; Lin, Junquan ; Wee, Seng Kwee et al. / Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time. ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings. editor / Yuttana Kumsuwan. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 662-665 (ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings).

@inproceedings{b8f781a137ad4814854c668fef6fc38c,

title = "Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time",

abstract = "Interlimb coordination is important for the enhancement of walking gait in spinal cord injured patients and many studies have recently attempted to dynamically map these movements for use in assistive devices. Nevertheless, there are many difficulties such as high variation of signal and lack of precise algorithms to extract continuous phases in real time. An improved phase learning to extract forelimb(s) and hindlimb phases from movements in real time is proposed. To quantify the performance of our proposed phase learning method, this phase learning is compared to Hilbert transform, a commonly used analytical method for offline process, with principal component analysis (PCA). The comparison between two methods demonstrated that a percentage of root mean square (RMS) time error between goal phase and output phase from our phase learning method is 7.94% as compared to that of Hilbert transform (7.44%). This phase learning that can extract phase in real time improves the analysis of interlimb coordination in robotic application.",

keywords = "Hilbert transform, Neural network architecture, Phase learning, Standardized relative position",

author = "Dollapom Anopas and Junquan Lin and Wee, {Seng Kwee} and {Er Tow}, Peh and Chew, {Sing Yian} and {Tech Ang}, Wei",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021 ; Conference date: 19-05-2021 Through 22-05-2021",

year = "2021",

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doi = "10.1109/ECTI-CON51831.2021.9454920",

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

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editor = "Yuttana Kumsuwan",

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Anopas, D, Lin, J, Wee, SK, Er Tow, P, Chew, SY & Tech Ang, W 2021, Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time. in Y Kumsuwan (ed.), ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings., 9454920, ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 662-665, 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021, Chiang Mai, Thailand, 5/19/21. https://doi.org/10.1109/ECTI-CON51831.2021.9454920

Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time. / Anopas, Dollapom; Lin, Junquan; Wee, Seng Kwee et al.
ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings. ed. / Yuttana Kumsuwan. Institute of Electrical and Electronics Engineers Inc., 2021. p. 662-665 9454920 (ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings).

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

TY - GEN

T1 - Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time

AU - Anopas, Dollapom

AU - Lin, Junquan

AU - Wee, Seng Kwee

AU - Er Tow, Peh

AU - Chew, Sing Yian

AU - Tech Ang, Wei

PY - 2021/5/19

Y1 - 2021/5/19

N2 - Interlimb coordination is important for the enhancement of walking gait in spinal cord injured patients and many studies have recently attempted to dynamically map these movements for use in assistive devices. Nevertheless, there are many difficulties such as high variation of signal and lack of precise algorithms to extract continuous phases in real time. An improved phase learning to extract forelimb(s) and hindlimb phases from movements in real time is proposed. To quantify the performance of our proposed phase learning method, this phase learning is compared to Hilbert transform, a commonly used analytical method for offline process, with principal component analysis (PCA). The comparison between two methods demonstrated that a percentage of root mean square (RMS) time error between goal phase and output phase from our phase learning method is 7.94% as compared to that of Hilbert transform (7.44%). This phase learning that can extract phase in real time improves the analysis of interlimb coordination in robotic application.

AB - Interlimb coordination is important for the enhancement of walking gait in spinal cord injured patients and many studies have recently attempted to dynamically map these movements for use in assistive devices. Nevertheless, there are many difficulties such as high variation of signal and lack of precise algorithms to extract continuous phases in real time. An improved phase learning to extract forelimb(s) and hindlimb phases from movements in real time is proposed. To quantify the performance of our proposed phase learning method, this phase learning is compared to Hilbert transform, a commonly used analytical method for offline process, with principal component analysis (PCA). The comparison between two methods demonstrated that a percentage of root mean square (RMS) time error between goal phase and output phase from our phase learning method is 7.94% as compared to that of Hilbert transform (7.44%). This phase learning that can extract phase in real time improves the analysis of interlimb coordination in robotic application.

KW - Hilbert transform

KW - Neural network architecture

KW - Phase learning

KW - Standardized relative position

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DO - 10.1109/ECTI-CON51831.2021.9454920

M3 - Conference contribution

AN - SCOPUS:85112810947

T3 - ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings

SP - 662

EP - 665

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A2 - Kumsuwan, Yuttana

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

Y2 - 19 May 2021 through 22 May 2021

ER -

Anopas D, Lin J, Wee SK, Er Tow P, Chew SY, Tech Ang W. Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time. In Kumsuwan Y, editor, ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 662-665. 9454920. (ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings). doi: 10.1109/ECTI-CON51831.2021.9454920

Phase learning to extract phase from Forelimb(s) and Hindlimb(s) Movement in Real Time

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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