Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes

J Prince, S Arora, M de Vos - Physiological measurement, 2018 - iopscience.iop.org
Objective: To better understand the longitudinal characteristics of Parkinson's disease (PD)
through the analysis of finger tapping and memory tests collected remotely using …

Smartphones as new tools in the management and understanding of Parkinson's disease

AD Trister, E Dorsey, SH Friend - npj Parkinson's Disease, 2016 - nature.com
Parkinson's disease (PD) has been traditionally characterized by the motor symptoms of
disease such as tremor, altered gait, and bradykinesia, with a well-established …

Dynamic digital biomarkers of motor and cognitive function in Parkinson's disease

J Ryu, J Vero, RD Dobkin, EB Torres - JoVE (Journal of Visualized …, 2019 - jove.com
As Parkinson's disease (PD) is a heterogeneous disorder, personalized medicine is truly
required to optimize care. In their current form, standard scores from paper and pencil …

Machine Learning in the Parkinson's disease smartwatch (PADS) dataset

J Varghese, A Brenner, M Fujarski, CM van Alen… - npj Parkinson's …, 2024 - nature.com
The utilisation of smart devices, such as smartwatches and smartphones, in the field of
movement disorders research has gained significant attention. However, the absence of a …

Leveraging the potential of digital technology for better individualized treatment of Parkinson's disease

H Fröhlich, N Bontridder, D Petrovska-Delacréta… - Frontiers in …, 2022 - frontiersin.org
Recent years have witnessed a strongly increasing interest in digital technology within
medicine (sensor devices, specific smartphone apps) and specifically also neurology …

Building a machine-learning framework to remotely assess Parkinson's disease using smartphones

OY Chén, F Lipsmeier, H Phan, J Prince… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: Parkinson's disease (PD) is a neurodegenerative disorder that affects multiple
neurological systems. Traditional PD assessment is conducted by a physician during …

Remote smartphone monitoring of Parkinson's disease and individual response to therapy

L Omberg, E Chaibub Neto, TM Perumal… - Nature …, 2022 - nature.com
Remote health assessments that gather real-world data (RWD) outside clinic settings
require a clear understanding of appropriate methods for data collection, quality …

Deep learning identifies digital biomarkers for self-reported Parkinson's disease

H Zhang, K Deng, H Li, RL Albin, Y Guan - Patterns, 2020 - cell.com
Large-scale population screening and in-home monitoring for patients with Parkinson's
disease (PD) has so far been mainly carried out by traditional healthcare methods and …

[HTML][HTML] Enabling breakthroughs in Parkinson's disease with wearable technologies and big data analytics

S Cohen, LR Bataille, AK Martig - Mhealth, 2016 - ncbi.nlm.nih.gov
Parkinson's disease (PD) is a progressive, degenerative disorder of the central nervous
system that is diagnosed and measured clinically by the Unified Parkinson's Disease Rating …

Digital phenotyping in Parkinson's disease: empowering neurologists for measurement-based care

R Bhidayasiri, Z Mari - Parkinsonism & Related Disorders, 2020 - Elsevier
There remains a significant mismatch between the complexity and variability of symptoms
and disabilities in Parkinson's disease (PD), and the capabilities of existing validated …