A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS

Dennis Majoe, Jurg Gutknecht, Hong Peng

Abstract

The EEG recording of a person has been considered as one potential component within an overall wearable sensor system that predicts the onset of mental health problems. Such a smart EEG sensor should provide detailed sensory information, be easy to use, and to put on and take off and whilst being very ergonomic the design should aim at a very low final end user cost to ensure the widest possible take up by the e-Health community. The work reported here describes the design of such a sensor, the performance and its use during extensive clinical trials aimed to establish the rules that link physiology sensing to mental health prediction.

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Paper Citation


in Harvard Style

Majoe D., Gutknecht J. and Peng H. (2012). A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012) ISBN 978-989-8425-88-1, pages 164-173. DOI: 10.5220/0003732901640173


in Bibtex Style

@conference{healthinf12,
author={Dennis Majoe and Jurg Gutknecht and Hong Peng},
title={A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)},
year={2012},
pages={164-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003732901640173},
isbn={978-989-8425-88-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)
TI - A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS
SN - 978-989-8425-88-1
AU - Majoe D.
AU - Gutknecht J.
AU - Peng H.
PY - 2012
SP - 164
EP - 173
DO - 10.5220/0003732901640173