Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device-Reference-Cited by-同舟云学术

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Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device

Published:2017-07 Issue:7 Volume:64 Page:1602-1607
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Ejupi Andreas,Brodie Matthew,Lord Stephen R.,Annegarn Janneke,Redmond Stephen J.,Delbaere Kim

Funder

EU-funded

iStoppFalls

Australian National Health and Medical Research Council (NHMRC) EU

Australian Research Council's Discovery

NHMRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/7949194/07581085.pdf?arnumber=7581085

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2. A fall detection method in elevators based on Graph Convolutional Networks;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

3. SKIP: Accurate Fall Detection Based on Skeleton Keypoint Association and Critical Feature Perception;IEEE Sensors Journal;2024-05-01

4. Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition;Sensors;2024-03-26

5. Nonlinearity analysis of sit-to-stand and its application;Scientific Journal of Sport and Performance;2024-03-03

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