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

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4200-4204
頁數5
ISBN(電子)9781728127828
DOIs
出版狀態Published - 2022
事件44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom
持續時間: 11 7月 202215 7月 2022

出版系列

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

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
國家/地區United Kingdom
城市Glasgow
期間11/07/2215/07/22

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