Real-Time Gait Phase Detection on Wearable Devices for Real-World Free-Living Gait-Reference-Cited by-同舟云学术

Real-Time Gait Phase Detection on Wearable Devices for Real-World Free-Living Gait

Published:2023-03 Issue:3 Volume:27 Page:1295-1306
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wu Jiaen¹^ORCID,Becsek Barna²,Schaer Alessandro²^ORCID,Maurenbrecher Henrik²,Chatzipirpiridis George²,Ergeneman Olgac²,Pané Salvador¹,Torun Hamdi³^ORCID,Nelson Bradley J.¹^ORCID

Affiliation:

1. Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland

2. Magnes AG, Zurich, Switzerland

3. Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, U.K.

Funder

European Union's Horizon Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10063192/09980363.pdf?arnumber=9980363

Reference38 articles.

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4. A geometric-based data reduction approach for large low dimensional datasets: Delaunay triangulation in SVM algorithms

5. A robust real-time gait event detection using wireless gyroscope and its application on normal and altered gaits

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