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Towards mobile health care: Neurocognitive impairment monitoring by BCI-based game
Conference proceeding   Peer reviewed

Towards mobile health care: Neurocognitive impairment monitoring by BCI-based game

Valerio Francesco Annese, G Mezzina and D De Venuto
Proceedings of IEEE Sensors, Vol.0, 7808745
0
15th IEEE Sensors Conference, SENSORS 2016 (Orlando)
2016
Handle:
https://hdl.handle.net/10863/53907

Abstract

A mobile-health solution for neuro-cognitive impairment monitoring based on P300 spatio-temporal characterization achieved by tuned Residue Iteration Decomposition (t-RIDE) is here presented. It allows remote monitoring of neuro-cognitive impairment through a domestic game-test by physician which can interact with it. Data collection is allowed by cloud bridging. It has been validated on 10 subjects: P300 amplitude and latency ranges are 2.8pV-8pV and 300ms-410ms (on Pz, Fz, Cz, EEG electrodes) in total agreement with the medical references. The methodology shows fast diagnosis of cognitive deficit, including mild and heavy cognitive impairment: t-RIDE convergence is reached in 79 iteration (i.e. 1.95s) giving 80% accuracy in P300 amplitude evaluation with only 13 trials on a single EEG channel. © 2016 IEEE.
url
https://doi.org/10.1109/ICSENS.2016.7808745View

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