Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson’s Disease and Autism Spectrum Disorders

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson’s Disease and Autism Spectrum Disorders

Detecting and monitoring of abnormal movement behaviors in patients with Parkinson’s Disease (PD) and individuals with Autism Spectrum Disorders (ASD) are beneficial for adjusting care and medical treatment in order to improve the patient’s quality of life. Supervised methods com...

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Bibliographic Details
Main Authors: Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
novelty detection
deep learning
normative modeling
denoising autoencoders
Parkinson’s disease
autism spectrum disorder
stereotypical motor movements
freezing of gait
Online Access:http://www.mdpi.com/1424-8220/18/10/3533

Internet

http://www.mdpi.com/1424-8220/18/10/3533

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