Wearable inertial sensors for human movement analysis: A five-year update

P Picerno, M Iosa, C D'Souza… - Expert review of …, 2021 - Taylor & Francis
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

[HTML][HTML] Wearable sensor technologies to assess motor functions in people with multiple sclerosis: systematic scoping review and perspective

T Woelfle, L Bourguignon, J Lorscheider… - Journal of Medical …, 2023 - jmir.org
Background Wearable sensor technologies have the potential to improve monitoring in
people with multiple sclerosis (MS) and inform timely disease management decisions …

Wearables and deep learning classify fall risk from gait in multiple sclerosis

BM Meyer, LJ Tulipani, RD Gurchiek… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention
interventions are not often prescribed until after a fall has been reported to a healthcare …

A wearable sensor identifies alterations in community ambulation in multiple sclerosis: contributors to real-world gait quality and physical activity

S Shema-Shiratzky, I Hillel, A Mirelman, K Regev… - Journal of …, 2020 - Springer
People with multiple sclerosis (pwMS) often suffer from gait impairments. These changes in
gait have been well studied in laboratory and clinical settings. A thorough investigation of …

[HTML][HTML] Efficacy of Transcranial Direct Current Stimulation (tDCS) on balance and gait in multiple sclerosis patients: a Machine Learning Approach

N Marotta, A de Sire, C Marinaro, L Moggio… - Journal of Clinical …, 2022 - mdpi.com
Transcranial direct current stimulation (tDCS) has emerged as an appealing rehabilitative
approach to improve brain function, with promising data on gait and balance in people with …

[HTML][HTML] Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting

L Angelini, W Hodgkinson, C Smith, JM Dodd… - Journal of …, 2020 - Springer
Gait disability in people with progressive multiple sclerosis (MS) is difficult to quantify using
existing clinical tools. This study aims to identify reliable and objective gait-based …

NDDNet: A deep learning model for predicting neurodegenerative diseases from gait pattern

MAA Faisal, MEH Chowdhury, ZB Mahbub… - Applied …, 2023 - Springer
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons
which affects the motor capacity of the patient. Particularly the walking gait is greatly …

[HTML][HTML] The use of inertial measurement units for the study of free living environment activity assessment: A literature review

S Jung, M Michaud, L Oudre, E Dorveaux, L Gorintin… - Sensors, 2020 - mdpi.com
This article presents an overview of fifty-eight articles dedicated to the evaluation of physical
activity in free-living conditions using wearable motion sensors. This review provides a …

[HTML][HTML] Robotic-based well-being monitoring and coaching system for the elderly in their daily activities

FM Calatrava-Nicolás, E Gutiérrez-Maestro… - Sensors, 2021 - mdpi.com
The increasingly ageing population and the tendency to live alone have led science and
engineering researchers to search for health care solutions. In the COVID 19 pandemic, the …

[HTML][HTML] How much data is enough? A reliable methodology to examine long-term wearable data acquisition in gait and postural sway

BM Meyer, P Depetrillo, J Franco, N Donahue, SR Fox… - Sensors, 2022 - mdpi.com
Wearable sensors facilitate the evaluation of gait and balance impairment in the free-living
environment, often with observation periods spanning weeks, months, and even years. Data …