Long-term unsupervised mobility assessment in movement disorders

E Warmerdam, JM Hausdorff, A Atrsaei, Y Zhou… - The Lancet …, 2020 - thelancet.com
Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated
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 …

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 …

Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls

VV Shah, J McNames, M Mancini… - … of neuroengineering and …, 2020 - Springer
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 …

Reinvest to assess: advancing approaches to motor competence measurement across the lifespan

RM Hulteen, B Terlizzi, TC Abrams, RS Sacko… - Sports Medicine, 2023 - Springer
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 …

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions

F Salis, S Bertuletti, T Bonci, M Caruso… - … in Bioengineering and …, 2023 - frontiersin.org
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 …

A deep learning approach for gait event detection from a single Shank-Worn IMU: validation in healthy and neurological cohorts

R Romijnders, E Warmerdam, C Hansen, G Schmidt… - Sensors, 2022 - mdpi.com
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 …

Gait speed in clinical and daily living assessments in Parkinson's disease patients: performance versus capacity

A Atrsaei, MF Corrà, F Dadashi, N Vila-Chã… - npj Parkinson's …, 2021 - nature.com
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 …

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 …

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 …