Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

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 …

Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations

A Rana, A Dumka, R Singh, MK Panda, N Priyadarshi… - Diagnostics, 2022 - mdpi.com
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …

Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review

M Belić, V Bobić, M Badža, N Šolaja… - Clinical neurology and …, 2019 - Elsevier
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review

KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease

F Lipsmeier, KI Taylor, RB Postuma… - Scientific reports, 2022 - nature.com
Digital health technologies enable remote and therefore frequent measurement of motor
signs, potentially providing reliable and valid estimates of motor sign severity and …

Automated restricted Boltzmann machine classifier for early diagnosis of Parkinson's disease using digitized spiral drawings

M Thakur, S Dhanalakshmi, H Kuresan… - Journal of Ambient …, 2023 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder that affects the elderly. PD affects
the quality of life by causing motor and non-motor disabilities. Traditional PD diagnosis …

Detecting Parkinson's disease from sustained phonation and speech signals

E Vaiciukynas, A Verikas, A Gelzinis, M Bacauskiene - PloS one, 2017 - journals.plos.org
This study investigates signals from sustained phonation and text-dependent speech
modalities for Parkinson's disease screening. Phonation corresponds to the vowel/a/voicing …

[HTML][HTML] Remote assessments of hand function in neurological disorders: systematic review

A Gopal, WY Hsu, DD Allen, R Bove - JMIR rehabilitation and …, 2022 - rehab.jmir.org
Background Loss of fine motor skills is observed in many neurological diseases, and remote
monitoring assessments can aid in early diagnosis and intervention. Hand function can be …

Evaluation of wearable sensor devices in Parkinson's disease: A review of current status and future prospects

R Lu, Y Xu, X Li, Y Fan, W Zeng, Y Tan… - Parkinson's …, 2020 - Wiley Online Library
Parkinson's disease (PD) decreases the quality of life of the affected individuals. The
incidence of PD is expected to increase given the growing aging population. Motor …