A Mobile Health System for Neurocognitive Impairment Evaluation based on P300 Detection
ACM Transactions on Cyber-Physical Systems - JULY-2018Authors
De Venuto Daniela, Annese Valerio Francesco, Mezzina Giovanni,
Scioscia Floriano,
Ruta Michele,
Di Sciascio Eugenio, Sangiovanni Vincentelli Alberto
Abstract
A new mobile healthcare system for neuro-cognitive function monitoring and treatment is presented. The architecture of the system features sensors to measure the brain potential, localized data analysis and filtering, and in-cloud distribution to specialized medical personnel. As such, it presents tradeoffs typical of other cyber-physical systems, where hardware, algorithms, and software implementations have to come together in a coherent fashion. The system is based on spatio-temporal detection and characterization of a specific brain potential called P300. The diagnosis of cognitive deficit is achieved by analyzing the data collected by the system with a new algorithm called tuned-Residue Iteration Decomposition (t-RIDE). The system has been tested on 17 subjects (
n
= 12 healthy,
n
= 3 mildly cognitive impaired, and
n
= 2 with Alzheimer's disease involved in three different cognitive tasks with increasing difficulty. The system allows fast diagnosis of cognitive deficit, including mild and heavy cognitive impairment: t-RIDE convergence is achieved in 79 iterations (i.e., 1.95s), yielding an 80% accuracy in P300 amplitude evaluation with only 13 trials on a single EEG channel.
Download: de_venuto_et_al_TCPS2018.pdfDOI
https://doi.org/10.1145/3140236BibTex references
@Article{DAMSRDS18,
author = "De Venuto, Daniela and Annese, Valerio Francesco and Mezzina, Giovanni and Scioscia, Floriano and Ruta, Michele and Di Sciascio, Eugenio and Sangiovanni Vincentelli, Alberto",
title = "A Mobile Health System for Neurocognitive Impairment Evaluation based on P300 Detection",
journal = "ACM Transactions on Cyber-Physical Systems",
number = "4",
volume = "2",
month = "July",
year = "2018",
note = "doi:10.1145/3140236",
url = "http://sisinflab.poliba.it/Publications/2018/DAMSRDS18"
}