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

Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori
2018 Sensors  
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 this paper, we propose deep normative modeling as a probabilistic novelty detection method, in which we model the distribution of normal human movements recorded by wearable sensors and try to detect  ...  malfunctions such as Parkinson's Disease (PD) [1] and Autism Spectrum Disorder (ASD) [2] .  ... 
doi:10.3390/s18103533 fatcat:il3crauryfct7ogsn7xflypnfy

A literature review on one-class classification and its potential applications in big data

Naeem Seliya, Azadeh Abdollah Zadeh, Taghi M. Khoshgoftaar
2021 Journal of Big Data  
Commonly used techniques in OCC for outlier detection and for novelty detection, respectively, are discussed.  ...  We group the different works into three categories: outlier detection, novelty detection, and deep learning and OCC.  ...  Acknowledgements We would like to thank the various reviewers in the Data Mining and Machine Learning Laboratory at Florida Atlantic University, Boca Raton, FL 33431.  ... 
doi:10.1186/s40537-021-00514-x fatcat:iaqfshjii5butmn64yrecd5yxq

Deep Learning Approaches for Detecting Freezing of Gait in Parkinson's Disease Patients through On-Body Acceleration Sensors

Luis Sigcha, Nélson Costa, Ignacio Pavón, Susana Costa, Pedro Arezes, Juan Manuel López, Guillermo De Arcas
2020 Sensors  
Also, several machine and deep learning approaches for FOG detection are evaluated using a leave-one-subject-out (LOSO) cross-validation.  ...  Freezing of gait (FOG) is one of the most incapacitating motor symptoms in Parkinson's disease (PD). The occurrence of FOG reduces the patients' quality of live and leads to falls.  ...  [66] proposed a novelty detection framework based on convolutional denoising autoencoder, to detect atypical movement patterns in patients with Autism Spectrum Disorder and PD, via wearable sensors  ... 
doi:10.3390/s20071895 pmid:32235373 fatcat:7hfljuaik5fljfuod5ubesbsci

Abstract of Conferences

2019 Medicine & Health  
However, children with autism spectrum disorder (ASD) are picky eater, which may lead to malnourishment, due to limited and restricted diet.  ...  /MH.2019.s1401 E13 The Areas of Information Published on RCT for Nutrition for Children with Autism Spectrum Disorder: A Systematic Review  ... 
doi:10.17576/mh.2019.s1401 fatcat:qtm5gcbzejerxhloaabed2xh54

Proceedings XXI Congresso SIAMOC 2021

Rita Stagni, Peppino Tropea, Antonio Nardone, Maurizio Ferrarin, Annamaria Guiotto, Guido Pasquini, Pietro Picerno, Irene Aprile, Mariano Serrao, Elena Bergamini, Maria Cristina Bisi
2021
ACKNOWLEDGMENTS This study was supported by Mobilise-D project (EU H2020, EFPIA, and IMI 2 Joint Undertaking; Grant no. 820820), the UK EPSRC (K03877X/1 and S032940/1) and by the NIHR Sheffield Biomedical  ...  INTRODUCTION Fragile X Syndrome (FXS) is the leading form of inherited intellectual disability and autism spectrum disorder, caused by a tri-nucleotide CGG repeat expansion in the FMR1 gene [1] .  ...  The trained model is then ready to be used to perform landmarks detection in seen and unseen videos.  ... 
doi:10.6092/unibo/amsacta/6846 fatcat:7xj2zd6dsvdlrh2ycm3zdqoi4m