Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase

Dollaporn Anopas; Prayook Jatesiktat; Guan Ming Lim; Lin Junquan; Seng Kwee Wee; Peh Er Tow; Sing Yian Chew; Wei Tech Ang

doi:10.1109/EMBC.2019.8857411

Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase

Dollaporn Anopas, Prayook Jatesiktat, Guan Ming Lim, Lin Junquan, Seng Kwee Wee, Peh Er Tow, Sing Yian Chew, Wei Tech Ang

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

4 Citations (Scopus)

Abstract

Synchronous forelimb-hindlimb gait pattern is important to facilitate natural walking behavior of an injured rat with total transection. Since our ultimate research goal is to build a rehabilitation robotic system to simulate the natural walking pattern for spinalized rats, this research aims to address an immediate goal of automating the inference of the rat's hindlimb trajectory from its own forelimb movement. Our proposed method uses unsupervised learning to extract independent forelimb and hinblimb phases. From the phase information, a relationship between forelimb and hindlimb trajectory can then be calculated. Results show that the proposed method has the potential to be used in a rehabilitation robotic system.

Original language	English
Title of host publication	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4615-4618
Number of pages	4
ISBN (Electronic)	9781538613115
DOIs	https://doi.org/10.1109/EMBC.2019.8857411
Publication status	Published - Jul 2019
Externally published	Yes
Event	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany Duration: Jul 23 2019 → Jul 27 2019

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Country/Territory	Germany
City	Berlin
Period	7/23/19 → 7/27/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus Subject Areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC.2019.8857411

Cite this

Anopas, D., Jatesiktat, P., Lim, G. M., Junquan, L., Wee, S. K., Er Tow, P., Chew, S. Y., & Ang, W. T. (2019). Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 4615-4618). Article 8857411 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2019.8857411

Anopas, Dollaporn ; Jatesiktat, Prayook ; Lim, Guan Ming et al. / Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 4615-4618 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase",

abstract = "Synchronous forelimb-hindlimb gait pattern is important to facilitate natural walking behavior of an injured rat with total transection. Since our ultimate research goal is to build a rehabilitation robotic system to simulate the natural walking pattern for spinalized rats, this research aims to address an immediate goal of automating the inference of the rat's hindlimb trajectory from its own forelimb movement. Our proposed method uses unsupervised learning to extract independent forelimb and hinblimb phases. From the phase information, a relationship between forelimb and hindlimb trajectory can then be calculated. Results show that the proposed method has the potential to be used in a rehabilitation robotic system.",

author = "Dollaporn Anopas and Prayook Jatesiktat and Lim, \{Guan Ming\} and Lin Junquan and Wee, \{Seng Kwee\} and \{Er Tow\}, Peh and Chew, \{Sing Yian\} and Ang, \{Wei Tech\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 ; Conference date: 23-07-2019 Through 27-07-2019",

year = "2019",

month = jul,

doi = "10.1109/EMBC.2019.8857411",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

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Anopas, D, Jatesiktat, P, Lim, GM, Junquan, L, Wee, SK, Er Tow, P, Chew, SY & Ang, WT 2019, Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8857411, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 4615-4618, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 7/23/19. https://doi.org/10.1109/EMBC.2019.8857411

Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase. / Anopas, Dollaporn; Jatesiktat, Prayook; Lim, Guan Ming et al.
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 4615-4618 8857411 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

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AU - Anopas, Dollaporn

AU - Jatesiktat, Prayook

AU - Lim, Guan Ming

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AU - Wee, Seng Kwee

AU - Er Tow, Peh

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AU - Ang, Wei Tech

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AB - Synchronous forelimb-hindlimb gait pattern is important to facilitate natural walking behavior of an injured rat with total transection. Since our ultimate research goal is to build a rehabilitation robotic system to simulate the natural walking pattern for spinalized rats, this research aims to address an immediate goal of automating the inference of the rat's hindlimb trajectory from its own forelimb movement. Our proposed method uses unsupervised learning to extract independent forelimb and hinblimb phases. From the phase information, a relationship between forelimb and hindlimb trajectory can then be calculated. Results show that the proposed method has the potential to be used in a rehabilitation robotic system.

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Anopas D, Jatesiktat P, Lim GM, Junquan L, Wee SK, Er Tow P et al. Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 4615-4618. 8857411. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2019.8857411

Automatic Inference of Rat's Hindlimb Trajectory to Synchronize with Forelimb Gait Through Phase

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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Cite this