Parkinson's disease management via wearable sensors: a systematic review

H Mughal, AR Javed, M Rizwan, AS Almadhor… - IEEE …, 2022 - ieeexplore.ieee.org
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

Remote healthcare for elderly people using wearables: A review

JO Olmedo-Aguirre, J Reyes-Campos… - Biosensors, 2022 - mdpi.com
The growth of health care spending on older adults with chronic diseases faces major
concerns that require effective measures to be adopted worldwide. Among the main …

Transfer learning for human activity recognition using representational analysis of neural networks

S An, G Bhat, S Gumussoy, U Ogras - ACM Transactions on Computing …, 2023 - dl.acm.org
Human activity recognition (HAR) has increased in recent years due to its applications in
mobile health monitoring, activity recognition, and patient rehabilitation. The typical …

Altered neural cell junctions and ion-channels leading to disrupted neuron communication in Parkinson's disease

SP Choudhury, S Bano, S Sen, K Suchal… - npj Parkinson's …, 2022 - nature.com
Parkinson's disease (PD) is a neurological disorder that affects the movement of the human
body. It is primarily characterized by reduced dopamine levels in the brain. The causative …

Comparative study of wearable sensors, video, and handwriting to detect Parkinson's disease

A Talitckii, E Kovalenko, A Shcherbak… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is the second most common neurodegenerative disorder that
affects the extrapyramidal motor system. The initial clinical symptoms can appear long …

[HTML][HTML] Successful implementation of technology in the management of Parkinson's disease: Barriers and facilitators

A Laar, ALS de Lima, BR Maas, BR Bloem… - Clinical parkinsonism & …, 2023 - Elsevier
Background Parkinson's disease (PD) is a progressive neurodegenerative disease with a
fast increasing prevalence. Several pharmacological and non-pharmacological …

An interpretable deep learning optimized wearable daily detection system for Parkinson's disease

M Chen, Z Sun, T Xin, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Walking detection in the daily life of patients with Parkinson's disease (PD) is of great
significance for tracking the progress of the disease. This study aims to implement an …

A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis

F Tea, AMR Groh, C Lacey, A Fakolade - NPJ Digital Medicine, 2024 - nature.com
Digital health technologies (DHTs) have become progressively more integrated into the
healthcare of people with multiple sclerosis (MS). To ensure that DHTs meet end-users' …

[HTML][HTML] Self-Management interventions for people with Parkinson disease: Scoping review

M Milne-Ives, C Carroll, E Meinert - Journal of Medical Internet Research, 2022 - jmir.org
Background Parkinson disease can impose substantial distress and costs on patients, their
families and caregivers, and health care systems. To address these burdens for families and …

Events detection of anticipatory postural adjustments through a wearable accelerometer sensor is comparable to that measured by the force platform in subjects with …

T Lencioni, M Meloni, T Bowman, A Marzegan… - Sensors, 2022 - mdpi.com
Out-of-the-lab instrumented gait testing focuses on steady-state gait and usually does not
include gait initiation (GI) measures. GI involves Anticipatory Postural Adjustments (APAs) …