Multimodal Classification of Parkinson’s Disease in Home Environments with Resiliency to Missing Modalities

Multimodal Classification of Parkinson’s Disease in Home Environments with Resiliency to Missing Modalities

Parkinson’s disease (PD) is a chronic neurodegenerative condition that affects a patient’s everyday life. Authors have proposed that a machine learning and sensor-based approach that continuously monitors patients in naturalistic settings can provide constant evaluation of PD and objectively analyse...

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Bibliographic Details
Main Authors: Farnoosh Heidarivincheh, Ryan McConville, Catherine Morgan, Roisin McNaney, Alessandro Masullo, Majid Mirmehdi, Alan L. Whone, Ian Craddock
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Parkinson’s disease
deep learning
multimodal data
missing modality
accelerometer
computer vision
Online Access:https://www.mdpi.com/1424-8220/21/12/4133

Internet

https://www.mdpi.com/1424-8220/21/12/4133

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