Gait analysis in neurological populations: Progression in the use of wearables

Y Celik, S Stuart, WL Woo, A Godfrey - Medical Engineering & Physics, 2021 - Elsevier
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

Teleneurology and mobile technologies: the future of neurological care

ER Dorsey, AM Glidden, MR Holloway… - Nature Reviews …, 2018 - nature.com
Neurological disorders are the leading cause of global disability. However, for most people
around the world, current neurological care is poor. In low-income countries, most …

[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 …

Stretchable, breathable, and washable fabric sensor for human motion monitoring

L Sanchez‐Botero, A Agrawala… - Advanced Materials …, 2023 - Wiley Online Library
Wearable strain sensors for movement tracking are a promising paradigm to improve clinical
care for patients with neurological or musculoskeletal conditions, with further applicability to …

[HTML][HTML] Gait metrics analysis utilizing single-point inertial measurement units: A systematic review

RJ Mobbs, J Perring, SM Raj, M Maharaj, NKM Yoong… - Mhealth, 2022 - ncbi.nlm.nih.gov
Background Wearable sensors, particularly accelerometers alone or combined with
gyroscopes and magnetometers in an inertial measurement unit (IMU), are a logical …

[PDF][PDF] Inertial sensors versus standard systems in gait analysis: A systematic review and meta-analysis

EM MEDICA - European journal of physical and rehabilitation …, 2018 - lirias.kuleuven.be
INTRODUCTION: The increasing popularity of inertial sensors in clinical practice is not
supported by precise information on their reliability or guidelines for their use in …

[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 …

Normative database of spatiotemporal gait parameters using inertial sensors in typically developing children and young adults

S Voss, J Joyce, A Biskis, M Parulekar, N Armijo… - Gait & posture, 2020 - Elsevier
Background Inertial sensors are increasingly useful to clinicians and researchers to detect
gait deficits. Reference values are necessary for comparison to children with gait …

[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 …

Next steps in wearable technology and community ambulation in multiple sclerosis

ML Frechette, BM Meyer, LJ Tulipani… - Current neurology and …, 2019 - Springer
Abstract Purpose of Review Walking impairments are highly prevalent in persons with
multiple sclerosis (PwMS) and are associated with reduced quality of life. Walking is …