Enhancing Fall Risk Assessment: Instrumenting Vision with Deep Learning During Walks

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering,
fall risk   gait analysis   object detection   deep learning   visual attention  

Introduction Fall events are common across various clinical populations, with usual risk assessments including visual observation of individual gait. However, gait observation assessments are typically confined to laboratory settings, involving standardized walking protocol tests to identify potential defects that might increase fall risk. Subtle d...

Automatic Gait Events Detection with Inertial Measurement Units: Healthy Subjects and Moderate to Severe Impaired Patients

Medicine, Neurology, Medical Imaging, Sports Medicine, Life Sciences, Bioengineering,
pathological gaits   gait analysis   step detection   pattern recognition   inertial measurement units   dynamic time warping  

A New Method for Automatic Gait Event Detection: Analysis of Inertial Measurement Units in Healthy Subjects and Patients with Moderate to Severe Impairment Cyril Voisard, Nicolas de L’Escalopier, Damien Ricard, Laurent Oudre. Journal of NeuroEngineering and Rehabilitation (2024) 21:104 https://doi.org/10.1186/s12984-024-01405-x Background of the St...

Remote Gait Analysis Using Ultra-Wideband Radar Technology

Remote Gait Analysis Using Ultra-Wideband Radar Technology

Medicine, Neurology, Life Sciences, Biophysics,
ultra-wideband radar   gait analysis   Doppler analysis   in-home monitoring   kinematics   markerless technology  

Remote Gait Analysis Using Ultra-Wideband Radar Technology Research Background Gait analysis, the study of the coordinated biomechanical patterns of human walking, is not only a critical component of biomechanics research but also provides valuable information on health status. In recent years, there has been a growing interest in developing new at...