Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data-Reference-Cited by-同舟云学术

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Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Body Sensor Networks (BSN)
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Author:

Filtjens Benjamin¹,Yang Po-Kai¹,Goris Maaike²,Gilat Moran²,Kempynck Niklas³,Ginis Pieter²,Nieuwboer Alice²,Slaets Peter⁴,Vanrumste Bart¹

Affiliation:

1. KU Leuven,Department of Electrical Engineering,Leuven,Belgium,3000

2. KU Leuven,Department of Rehabilitation Sciences,Leuven,Belgium,3000

3. VIB-KU Leuven,Laboratory of Computational Biology,Leuven,Belgium,3000

4. KU Leuven,Department of Mechanical Engineering,Leuven,Belgium,3000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330797/10330909/10330987.pdf?arnumber=10330987

Reference26 articles.

1. How to Annotate Freezing of Gait from Video: A Standardized Method Using Open-Source Software

2. Abnormalities of the spatiotemporal characteristics of gait at the onset of freezing in Parkinson's disease

3. Clinimetrics of freezing of gait

4. Wearable-Sensor-based Detection and Prediction of Freezing of Gait in Parkinson’s Disease: A Review

5. Detection of Freezing of Gait Using Convolutional Neural Networks and Data From Lower Limb Motion Sensors

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