Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms

AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

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 …

Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor

L Borzì, L Sigcha, D Rodríguez-Martín… - Artificial intelligence in …, 2023 - Elsevier
Background: Freezing of gait (FOG) is one of the most disabling symptoms of Parkinson's
disease (PD), contributing to poor quality of life and increased risk of falls. Wearable sensors …

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 …

Objective measurement versus clinician-based assessment for Parkinson's disease

A Guerra, V D'Onofrio, F Ferreri… - Expert Review of …, 2023 - Taylor & Francis
Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …

Overview on wearable sensors for the management of Parkinson's disease

C Moreau, T Rouaud, D Grabli, I Benatru… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is affecting about 1.2 million patients in Europe with a prevalence
that is expected to have an exponential increment, in the next decades. This epidemiological …

Home-based measurements of dystonia in cerebral palsy using smartphone-coupled inertial sensor technology and machine learning: A proof-of-concept study

D Den Hartog, MM van der Krogt, S van der Burg… - Sensors, 2022 - mdpi.com
Accurate and reliable measurement of the severity of dystonia is essential for the indication,
evaluation, monitoring and fine-tuning of treatments. Assessment of dystonia in children and …

Dyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networks

MD Hssayeni, J Jimenez-Shahed, MA Burack… - Scientific reports, 2021 - nature.com
Levodopa-induced dyskinesias are abnormal involuntary movements experienced by the
majority of persons with Parkinson's disease (PwP) at some point over the course of the …

Assessing the clinical utility of inertial sensors for home monitoring in Parkinson's disease: a comprehensive review

S Sapienza, O Tsurkalenko, M Giraitis, AC Mejia… - npj Parkinson's …, 2024 - nature.com
This review screened 296 articles on wearable sensors for home monitoring of people with
Parkinson's Disease within the PubMed Database, from January 2017 to May 2023. A three …

Design of a multi-sensors wearable system for continuous home monitoring of people with Parkinson's

M Sica, OT Varnosfaderani, C Crowe, L Kenny… - IEEE …, 2024 - ieeexplore.ieee.org
Parkinson's disease is a degenerative neurological disorder that impairs motor functions
and is accompanied by a wide range of non-motor symptoms, such as sleep problems …