Potential disease-modifying therapies for Huntington's disease: lessons learned and future opportunities

SJ Tabrizi, C Estevez-Fraga… - The Lancet …, 2022 - thelancet.com
Huntington's disease is the most frequent autosomal dominant neurodegenerative disorder;
however, no disease-modifying interventions are available for patients with this disease. The …

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 …

A survey of healthcare Internet of Things (HIoT): A clinical perspective

H Habibzadeh, K Dinesh, OR Shishvan… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …

A health monitoring system based on flexible triboelectric sensors for intelligence medical internet of things and its applications in virtual reality

J Mao, P Zhou, X Wang, H Yao, L Liang, Y Zhao… - Nano Energy, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) is a platform that combines Internet of Things
(IoT) technology with medical applications, enabling the realization of precision medicine …

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 …

Digital measures that matter to patients: a framework to guide the selection and development of digital measures of health

C Manta, B Patrick-Lake, JC Goldsack - Digital Biomarkers, 2020 - karger.com
Background: With the rise of connected sensor technologies, there are seemingly endless
possibilities for new ways to measure health. These technologies offer researchers and …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] A real-world study of wearable sensors in Parkinson's disease

JL Adams, K Dinesh, CW Snyder, M Xiong… - npj Parkinson's …, 2021 - nature.com
Most wearable sensor studies in Parkinson's disease have been conducted in the clinic and
thus may not be a true representation of everyday symptoms and symptom variation. Our …

[HTML][HTML] A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM

D Rodríguez-Martín, J Cabestany… - Frontiers in …, 2022 - frontiersin.org
In the past decade, the use of wearable medical devices has been a great breakthrough in
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …