Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data

Yu Hung Yeh; Jiun Lin Yan; Meng Xun Gu; Yi Wei Chen; Ta Sung Lee

doi:10.1109/EMBC48229.2022.9871244

Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data

Yu Hung Yeh
, Jiun Lin Yan
, Meng Xun Gu
, Yi Wei Chen
, Ta Sung Lee

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

6 Scopus citations

Abstract

Gait tasks have become a topic of increasing inter-est in biological engineering research in recent years. One way to obtain the gait cycle time (GCT) is to analyze a subject's gait acceleration signal as recorded by an inertial measurement unit (IMU) [1]. An accurate peak detection of the IMU acceleration has thus become a requirement for GCT analysis. This study proposes a detection procedure for accurately detecting the peaks in a noisy IMU acceleration signal based on a frequency-domain analysis of the acceleration.

Original language	English
Title of host publication	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4200-4204
Number of pages	5
ISBN (Electronic)	9781728127828
DOIs	https://doi.org/10.1109/EMBC48229.2022.9871244
State	Published - 2022
Externally published	Yes
Event	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom Duration: 11 07 2022 → 15 07 2022

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2022-July
ISSN (Print)	1557-170X

Conference

Conference	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Country/Territory	United Kingdom
City	Glasgow
Period	11/07/22 → 15/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Detection procedure
Frequency-Domain analysis
Gait Cycle Time

Access to Document

10.1109/EMBC48229.2022.9871244

Cite this

Yeh, Y. H., Yan, J. L., Gu, M. X., Chen, Y. W., & Lee, T. S. (2022). Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 4200-4204). (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC48229.2022.9871244

Yeh, Yu Hung ; Yan, Jiun Lin ; Gu, Meng Xun et al. / Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 4200-4204 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{65e569bacd7345828f8d575af997c160,

title = "Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data",

abstract = "Gait tasks have become a topic of increasing inter-est in biological engineering research in recent years. One way to obtain the gait cycle time (GCT) is to analyze a subject's gait acceleration signal as recorded by an inertial measurement unit (IMU) [1]. An accurate peak detection of the IMU acceleration has thus become a requirement for GCT analysis. This study proposes a detection procedure for accurately detecting the peaks in a noisy IMU acceleration signal based on a frequency-domain analysis of the acceleration.",

keywords = "Detection procedure, Frequency-Domain analysis, Gait Cycle Time",

author = "Yeh, \{Yu Hung\} and Yan, \{Jiun Lin\} and Gu, \{Meng Xun\} and Chen, \{Yi Wei\} and Lee, \{Ta Sung\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 ; Conference date: 11-07-2022 Through 15-07-2022",

year = "2022",

doi = "10.1109/EMBC48229.2022.9871244",

language = "英语",

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

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

pages = "4200--4204",

booktitle = "44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022",

address = "美国",

}

Yeh, YH, Yan, JL, Gu, MX, Chen, YW & Lee, TS 2022, Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data. in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 4200-4204, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/22. https://doi.org/10.1109/EMBC48229.2022.9871244

Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data. / Yeh, Yu Hung; Yan, Jiun Lin; Gu, Meng Xun et al.
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 4200-4204 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2022-July).

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

TY - GEN

T1 - Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data

AU - Yeh, Yu Hung

AU - Yan, Jiun Lin

AU - Gu, Meng Xun

AU - Chen, Yi Wei

AU - Lee, Ta Sung

PY - 2022

Y1 - 2022

N2 - Gait tasks have become a topic of increasing inter-est in biological engineering research in recent years. One way to obtain the gait cycle time (GCT) is to analyze a subject's gait acceleration signal as recorded by an inertial measurement unit (IMU) [1]. An accurate peak detection of the IMU acceleration has thus become a requirement for GCT analysis. This study proposes a detection procedure for accurately detecting the peaks in a noisy IMU acceleration signal based on a frequency-domain analysis of the acceleration.

AB - Gait tasks have become a topic of increasing inter-est in biological engineering research in recent years. One way to obtain the gait cycle time (GCT) is to analyze a subject's gait acceleration signal as recorded by an inertial measurement unit (IMU) [1]. An accurate peak detection of the IMU acceleration has thus become a requirement for GCT analysis. This study proposes a detection procedure for accurately detecting the peaks in a noisy IMU acceleration signal based on a frequency-domain analysis of the acceleration.

KW - Detection procedure

KW - Frequency-Domain analysis

KW - Gait Cycle Time

UR - https://www.scopus.com/pages/publications/85138128601

U2 - 10.1109/EMBC48229.2022.9871244

DO - 10.1109/EMBC48229.2022.9871244

M3 - 会议稿件

C2 - 36086128

AN - SCOPUS:85138128601

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 4200

EP - 4204

BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022

Y2 - 11 July 2022 through 15 July 2022

ER -

Yeh YH, Yan JL, Gu MX, Chen YW, Lee TS. Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 4200-4204. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC48229.2022.9871244

Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this