[HTML][HTML] Sensors for daily life: A review

M Javaid, A Haleem, S Rab, RP Singh, R Suman - Sensors International, 2021 - Elsevier
Sensor technologies have improved the everyday life of human beings through their
applications in almost all fields. Sensors are devices that detect changes in the …

Quantitative gait and balance outcomes for ataxia trials: consensus recommendations by the ataxia global initiative working group on digital-motor biomarkers

W Ilg, S Milne, T Schmitz-Hübsch, L Alcock, L Beichert… - The Cerebellum, 2024 - Springer
With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid,
finely granulated, digital health measures are highly warranted to augment clinical and …

Body-worn sensors for remote monitoring of Parkinson's disease motor symptoms: vision, state of the art, and challenges ahead

S Del Din, C Kirk, AJ Yarnall… - Journal of …, 2021 - content.iospress.com
The increasing prevalence of neurodegenerative conditions such as Parkinson's disease
(PD) and related mobility issues places a serious burden on healthcare systems. The COVID …

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 …

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

C Kirk, A Küderle, ME Micó-Amigo, T Bonci… - Scientific reports, 2024 - nature.com
This study aimed to validate a wearable device's walking speed estimation pipeline,
considering complexity, speed, and walking bout duration. The goal was to provide …

Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study

A Soltani, N Abolhassani, P Marques-Vidal… - Scientific reports, 2021 - nature.com
Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th
vital sign. The focus of the present study was on assessment of gait speed in long-term real …

An automatic gait analysis pipeline for wearable sensors: A pilot study in Parkinson's disease

LR Peraza, KM Kinnunen, R McNaney, IJ Craddock… - Sensors, 2021 - mdpi.com
The use of wearable sensors allows continuous recordings of physical activity from
participants in free-living or at-home clinical studies. The large amount of data collected …

Investigating the impact of environment and data aggregation by walking bout duration on Parkinson's disease classification using machine learning

RZU Rehman, Y Guan, JQ Shi, L Alcock… - Frontiers in aging …, 2022 - frontiersin.org
Parkinson's disease (PD) is a common neurodegenerative disease. PD misdiagnosis can
occur in early stages. Gait impairment in PD is typical and is linked with an increased fall risk …

Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review

F Salaorni, G Bonardi, F Schena, M Tinazzi… - Expert Review of …, 2024 - Taylor & Francis
Introduction Wearable devices and telemedicine are increasingly used to track health-
related parameters across patient populations. Since gait and postural control deficits …

Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis

BM Meyer, LJ Tulipani, RD Gurchiek, DA Allen… - PLOS digital …, 2022 - journals.plos.org
Falls are frequent and associated with morbidity in persons with multiple sclerosis (PwMS).
Symptoms of MS fluctuate, and standard biannual clinical visits cannot capture these …