Long-term unsupervised mobility assessment in movement disorders
Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated
devices) that quantify mobility in unsupervised, daily living environments are emerging as …
devices) that quantify mobility in unsupervised, daily living environments are emerging as …
Virtual reality in research and rehabilitation of gait and balance in Parkinson disease
CG Canning, NE Allen, E Nackaerts, SS Paul… - Nature Reviews …, 2020 - nature.com
Virtual reality (VR) technology has emerged as a promising tool for studying and
rehabilitating gait and balance impairments in people with Parkinson disease (PD) as it …
rehabilitating gait and balance impairments in people with Parkinson disease (PD) as it …
Mobility in older community-dwelling persons: a narrative review
E Freiberger, CC Sieber, R Kob - Frontiers in Physiology, 2020 - frontiersin.org
Due to the demographic changes and the increasing awareness of the role of physical
function, mobility in older age is becoming an important topic. Mobility limitations have been …
function, mobility in older age is becoming an important topic. Mobility limitations have been …
Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls
Background and purpose Recent findings suggest that a gait assessment at a discrete
moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a …
moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a …
Reinvest to assess: advancing approaches to motor competence measurement across the lifespan
Measurement of motor competence is a vital process to advancing knowledge in the field of
motor development. As motor competence is being more widely linked to research in other …
motor development. As motor competence is being more widely linked to research in other …
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
Introduction: Accurately assessing people's gait, especially in real-world conditions and in
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …
A deep learning approach for gait event detection from a single Shank-Worn IMU: validation in healthy and neurological cohorts
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …
Gait speed in clinical and daily living assessments in Parkinson's disease patients: performance versus capacity
Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility.
While a clinical setting allows the estimation of gait speed under controlled conditions that …
While a clinical setting allows the estimation of gait speed under controlled conditions that …
Detecting sensitive mobility features for Parkinson's disease stages via machine learning
A Mirelman, M Ben Or Frank, M Melamed… - Movement …, 2021 - Wiley Online Library
Background It is not clear how specific gait measures reflect disease severity across the
disease spectrum in Parkinson's disease (PD). Objective To identify the gait and mobility …
disease spectrum in Parkinson's disease (PD). Objective To identify the gait and mobility …
Wearable inertial sensors for gait analysis in adults with osteoarthritis—A scoping review
D Kobsar, Z Masood, H Khan, N Khalil, MY Kiwan… - Sensors, 2020 - mdpi.com
Our objective was to conduct a scoping review which summarizes the growing body of
literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We …
literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We …