Fall risk prediction in Parkinson's disease using real-world inertial sensor gait data

M Ullrich, N Roth, A Küderle, R Richer… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Falls are an eminent risk for older adults and especially patients with neurodegenerative
disorders, such as Parkinson's disease (PD). Recent advancements in wearable sensor …

Markerless motion tracking with noisy video and imu data

S Shin, Z Li, E Halilaj - IEEE Transactions on Biomedical …, 2023 - ieeexplore.ieee.org
Objective: Marker-based motion capture, considered the gold standard in human motion
analysis, is expensive and requires trained personnel. Advances in inertial sensing and …

Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology

Y Miyazaki, K Shoda, K Kitamura, Y Nishida - Sensors, 2023 - mdpi.com
The increasing geriatric population across the world has necessitated the early detection of
frailty through the analysis of daily-life behavioral patterns. This paper presents a system for …

Gaitmap–An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking

A Küderle, M Ullrich, N Roth… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Goal: Gait analysis using inertial measurement units (IMUs) has emerged as a promising
method for monitoring movement disorders. However, the lack of public data and easy-to …

[引用][C] Real-World Clinical Gait Analysis in Parkinson's Disease