A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS

Dennis Majoe; Jurg Gutknecht; Hong Peng

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS

Topics: e-Health; Wearable Health Informatics

In Proceedings of the International Conference on Health Informatics - Volume 0BIOSTEC, 164-173, 2012 , Vilamoura, Algarve, Portugal

Authors: Dennis Majoe ¹ ; Jurg Gutknecht ¹ and Hong Peng ²

Affiliations: ¹ ETH Zurich, Switzerland ; ² Lan Zhou University, China

Keyword(s): Mental Health, Depression, EEG Sensing, Wearable Smart Sensor.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Cloud Computing ; Devices ; e-Health ; Health Information Systems ; Human-Computer Interaction ; Physiological Computing Systems ; Platforms and Applications ; Wearable Sensors and Systems

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.222.78.65

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

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 (BIOSTEC 2012) - HEALTHINF; ISBN 978-989-8425-88-1; ISSN 2184-4305, SciTePress, pages 164-173. DOI: 10.5220/0003732901640173

@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 (BIOSTEC 2012) - HEALTHINF},
year={2012},
pages={164-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003732901640173},
isbn={978-989-8425-88-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF
TI - A LOW COST ERGONOMIC EEG SENSOR FOR PREDICTING MENTAL ILLNESS
SN - 978-989-8425-88-1
IS - 2184-4305
AU - Majoe, D.
AU - Gutknecht, J.
AU - Peng, H.
PY - 2012
SP - 164
EP - 173
DO - 10.5220/0003732901640173
PB - SciTePress