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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Главные авторы:	Farnoosh Heidarivincheh, Ryan McConville, Catherine Morgan, Roisin McNaney, Alessandro Masullo, Majid Mirmehdi, Alan L. Whone, Ian Craddock
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-06-01
Серии:	Sensors
Предметы:	Parkinson’s disease deep learning multimodal data missing modality accelerometer computer vision
Online-ссылка:	https://www.mdpi.com/1424-8220/21/12/4133
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