TY - GEN
T1 - An improved EEG de-noising approach in electroencephalogram (EEG) for home care
AU - Peng, Hong
AU - Hu, Bin
AU - Qi, Yanbing
AU - Zhao, Qinglin
AU - Ratcliffe, Martyn
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - EEG
KW - Home Care
KW - Ocular Artifacts
KW - Signal Processing
UR - http://www.scopus.com/inward/record.url?scp=80054920400&partnerID=8YFLogxK
U2 - 10.4108/icst.pervasivehealth.2011.246021
DO - 10.4108/icst.pervasivehealth.2011.246021
M3 - Conference contribution
AN - SCOPUS:80054920400
SN - 9781936968152
T3 - 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011
SP - 469
EP - 474
BT - 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011
T2 - 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011
Y2 - 23 May 2011 through 26 May 2011
ER -
