[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review

L Sigcha, L Borzì, F Amato, I Rechichi… - Expert Systems with …, 2023 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …

Deep neural networks in psychiatry

D Durstewitz, G Koppe, A Meyer-Lindenberg - Molecular psychiatry, 2019 - nature.com
Abstract Machine and deep learning methods, today's core of artificial intelligence, have
been applied with increasing success and impact in many commercial and research …

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 …

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 …

Machine learning techniques in adaptive and personalized systems for health and wellness

O Oyebode, J Fowles, D Steeves… - International Journal of …, 2023 - Taylor & Francis
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …

A systematic review of wearable sensors for monitoring physical activity

A Kristoffersson, M Lindén - Sensors, 2022 - mdpi.com
This article reviews the use of wearable sensors for the monitoring of physical activity (PA)
for different purposes, including assessment of gait and balance, prevention and/or …

Telemedicine in Parkinson's disease: how to ensure patient needs and continuity of care at the time of COVID-19 pandemic

G Miele, G Straccia, M Moccia, L Leocani… - Telemedicine and e …, 2020 - liebertpub.com
Introduction: With the spread of the SARS-CoV2 pandemic, telemedicine has become the
safest way to guarantee care continuity, especially for chronic disabling diseases requiring …

A systematic review on the use of wearable body sensors for health monitoring: a qualitative synthesis

A Kristoffersson, M Lindén - Sensors, 2020 - mdpi.com
The use of wearable body sensors for health monitoring is a quickly growing field with the
potential of offering a reliable means for clinical and remote health management. This …

Intelligent cyber-physical system for an efficient detection of Parkinson disease using fog computing

M Devarajan, L Ravi - Multimedia Tools and Applications, 2019 - Springer
Parkinson's disease is one of the notable neurodegenerative disorders caused by
insufficient production of dopamine which damages the motor skills and voice. Advancement …