An improved EEG de-noising approach in electroencephalogram (EEG) for home care

Peng, H. and Hu, B. and Qi, Y. and Zhao, Q. and Ratcliffe, M. (2011) An improved EEG de-noising approach in electroencephalogram (EEG) for home care. In: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011, 23 May 2011 through 26 May 2011, Dublin; Ireland.

Full text not available from this repository. (Request a copy)


Mental health care is becoming an increasing concern in home care projects. As an integral part of Telecare and Telehealth systems, portable EEG recording and real-time analysis are increasingly being used as non-intrusive monitoring techniques. In home environments without the supervision of a physician and absence of electromagnetic shielding, the raw EEG data, especially the most important alpha rhythm, which can be used to detect the mental illness and depression, is polluted by background noise such as Ocular Artifacts (OA), DC adrift and so on. In this paper, the raw data is processed in two steps: step one is a pre-process to remove DC adrift and 50/60Hz AC. In the second step, we demonstrate an improved real-time approach for removing OA online from alpha band of EEG. Furthermore, the application of this approach in the OPTEVII project of the EU's Seventh Framework Programme (FP7) demonstrates the applicability and reliability of our approach. © 2011 ICST.

Item Type: Conference or Workshop Item (Paper)
Identification Number:
Uncontrolled Keywords: EEG, Home Care, Ocular Artifacts, Signal Processing, Alpha rhythm, Background noise, De-noising, EEG recording, Home Care, Home environment, Integral part, Mental health, Mental illness, Monitoring techniques, Non-intrusive, Ocular artifacts, Real time analysis, Telecare, Telehealth system, Diseases, Electromagnetic shielding, Health care, Medical computing, Real time systems, Signal processing, Ubiquitous computing, Electroencephalography
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Hussen Farooq
Date Deposited: 20 Jul 2016 10:02
Last Modified: 03 Mar 2022 15:47

Actions (login required)

View Item View Item


In this section...