Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques

Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques

Abstract Parkinson’s Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1% of the population above 60 years old with both motor and non-motor symptoms of escalating severity as it progresses. Since it cannot be cured, treatment options focus on the improvement of...

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Bibliographic Details
Main Authors: Alexandros Papadopoulos, Dimitrios Iakovakis, Lisa Klingelhoefer, Sevasti Bostantjopoulou, K. Ray Chaudhuri, Konstantinos Kyritsis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J. Hadjileontiadis, Anastasios Delopoulos
Format: Article
Language:English
Published: Nature Portfolio 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-78418-8

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https://doi.org/10.1038/s41598-020-78418-8

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