Annese, V.F. , Mezzina, G. and De Venuto, D. (2016) Towards Mobile Health Care: Neurocognitive Impairment Monitoring by BCI-based Game. In: 2016 IEEE Sensors, Orlando, FL, USA, 30 Oct - 3 Nov 2016, ISBN 9781479982875 (doi: 10.1109/ICSENS.2016.7808745)
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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.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Annese, Dr Valerio |
| Authors: | Annese, V.F., Mezzina, G., and De Venuto, D. |
| College/School: | College of Science and Engineering > School of Engineering |
| ISBN: | 9781479982875 |
| Published Online: | 09 January 2017 |
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