Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes
Objective: To better understand the longitudinal characteristics of Parkinson's disease (PD)
through the analysis of finger tapping and memory tests collected remotely using …
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
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 …
disease such as tremor, altered gait, and bradykinesia, with a well-established …
Dynamic digital biomarkers of motor and cognitive function in Parkinson's disease
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 …
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 …
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 …
medicine (sensor devices, specific smartphone apps) and specifically also neurology …
Building a machine-learning framework to remotely assess Parkinson's disease using smartphones
Objective: Parkinson's disease (PD) is a neurodegenerative disorder that affects multiple
neurological systems. Traditional PD assessment is conducted by a physician during …
neurological systems. Traditional PD assessment is conducted by a physician during …
Remote smartphone monitoring of Parkinson's disease and individual response to therapy
Remote health assessments that gather real-world data (RWD) outside clinic settings
require a clear understanding of appropriate methods for data collection, quality …
require a clear understanding of appropriate methods for data collection, quality …
Deep learning identifies digital biomarkers for self-reported Parkinson's disease
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 …
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 …
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 …
and disabilities in Parkinson's disease (PD), and the capabilities of existing validated …