[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
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 …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
Deep neural networks in psychiatry
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 …
been applied with increasing success and impact in many commercial and research …
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 …
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 …
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
Digital health technologies enable remote and therefore frequent measurement of motor
signs, potentially providing reliable and valid estimates of motor sign severity and …
signs, potentially providing reliable and valid estimates of motor sign severity and …
Machine learning techniques in adaptive and personalized systems for health and wellness
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 …
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 …
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 …
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 …
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 …
insufficient production of dopamine which damages the motor skills and voice. Advancement …