Removal of ECG interference from the EEG recordings in small animals using independent component analysis.
In experiments involving small animals, the electroencephalogram (EEG) recorded during severe injury and accompanying resuscitation exhibit the strong presence of electrocardiogram (ECG). For improved quantitative EEG (qEEG) analysis, it is therefore imperative to remove ECG interference from EEG. In this paper, we validate the use of independent component analysis (ICA) to effectively suppress the interference of ECG from EEG recordings during normal activity, asphyxia and recovery following asphyxia. Two channels of EEG from five rats were recorded continuously for 2 h. Simultaneous recording of one channel ECG was also made. Epochs of 4 s and 1 min were selected from baseline, asphyxia and recovery (every 10 min) and their independent components and power spectra were calculated. The improvement in normalized power spectrum of EEG obtained for all animals was 7.71+/-3.63 db at the 3rd minute of recovery and dropped to 1.15+/-0.60 db at 63rd minute. The application of ICA has been particularly useful when the power of EEG is low, such as that observed during early brain hypoxic-asphyxic injury. The method is also useful in situations where accurate indications of EEG signal power and frequency content are needed.
Tong
S
S
Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor 701, 720 Rutland Avenue, Baltimore, MD 21205, USA.
Bezerianos
A
A
Paul
J
J
Zhu
Y
Y
Thakor
N
N
D000465:Algorithms; D000818:Animals; D016477:Artifacts; D001237:Asphyxia / Q000503:physiopathology; D004562:Electrocardiography / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006321:Heart / Q000503:physiopathology*; D006324:Heart Arrest, Induced / Q000379:methods; D020925:Hypoxia-Ischemia, Brain / Q000503:physiopathology*; D008297:Male; D051381:Rats; D017208:Rats, Wistar; D020127:Recovery of Function / Q000502:physiology; D015427:Reperfusion Injury / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted