ICASSP 2017accepted0 citations
A wavelet-based approach to monitoring Parkinson's disease symptoms
Avishai Wagner, Naama Fixler, Yehezkel S. Resheff
Abstract
Parkinson's disease is a neuro-degenerative disorder affecting tens of millions of people worldwide. Lately, there has been considerable interest in systems for at-home monitoring of patients, using wearable devices which contain inertial measurement units. We present a new wavelet-based approach for analysis of data from single wrist-worn smart-watches, and show high detection performance for tremor, bradykinesia, and dyskinesia, which have been the major targets for monitoring in this context. We also discuss the implication of our controlled-experiment results for uncontrolled home monitoring of freely behaving patients.
BibTeX
@inproceedings{icassp2017_awaveletbasedapp,
title = {A wavelet-based approach to monitoring Parkinson's disease symptoms},
author = {Avishai Wagner and Naama Fixler and Yehezkel S. Resheff},
booktitle = {ICASSP 2017},
year = {2017}
}