In this paper a Real-Time L-dopa-Induced Dyskinesia (LID) Detection System based on Machine Learning Algorithms (MLAs) and simple devices such as smartphone and smartwatch is presented. The implementation of this system was performed in three steps. Firstly, the data collection is carried out, where each patient wears the smartwatch and completes some tasks, while a smartphone application captures data. Secondly, features in time and frequency domain were extracted from smartwatch data and used as input for the training of different off-line MLAs. Lastly, the best algorithm found has been integrated into a mobile App in order to real-time monitor the smartwatch data and detect LID. © 2019 IEEE.
Design and Implementation of a Real-Time Upper Limbs Dyskinesia Detection System / Belgiovine, G.; Capecci, M.; Ciabattoni, L.; Fiorentino, M. C.; Foresi, G.; Monteriù, A.; Pepa, L.. - ELETTRONICO. - (2019), pp. 1-2. (Intervento presentato al convegno 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 tenutosi a usa nel 2019) [10.1109/ICCE.2019.8661930].
Design and Implementation of a Real-Time Upper Limbs Dyskinesia Detection System
Capecci, M.;Ciabattoni, L.;Fiorentino, M. C.;Foresi, G.;Monteriù, A.;Pepa, L.
2019-01-01
Abstract
In this paper a Real-Time L-dopa-Induced Dyskinesia (LID) Detection System based on Machine Learning Algorithms (MLAs) and simple devices such as smartphone and smartwatch is presented. The implementation of this system was performed in three steps. Firstly, the data collection is carried out, where each patient wears the smartwatch and completes some tasks, while a smartphone application captures data. Secondly, features in time and frequency domain were extracted from smartwatch data and used as input for the training of different off-line MLAs. Lastly, the best algorithm found has been integrated into a mobile App in order to real-time monitor the smartwatch data and detect LID. © 2019 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
