Elsevier

Digital Signal Processing

Volume 18, Issue 5, September 2008, Pages 861-874
Digital Signal Processing

Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study

https://doi.org/10.1016/j.dsp.2007.05.009Get rights and content

Abstract

This paper presents the experimental pilot study to investigate the effects of pulsed electromagnetic field (PEMF) at extremely low frequency (ELF) in response to photoplethysmographic (PPG), electrocardiographic (ECG), electroencephalographic (EEG) activity. The assessment of wavelet transform (WT) as a feature extraction method was used in representing the electrophysiological signals. Considering that classification is often more accurate when the pattern is simplified through representation by important features, the feature extraction and selection play an important role in classifying systems such as neural networks. The PPG, ECG, EEG signals were decomposed into time-frequency representations using discrete wavelet transform (DWT) and the statistical features were calculated to depict their distribution. Our pilot study investigation for any possible electrophysiological activity alterations due to ELF PEMF exposure, was evaluated by the efficiency of DWT as a feature extraction method in representing the signals. As a result, this feature extraction has been justified as a feasible method.

Section snippets

Dean Cvetkovic (Ph.D. 2005 in biomedical engineering, RMIT University). He is a Postdoctoral Research Fellow at School of Electrical and Computer Engineering, RMIT University. His research is based on investigation of extremely low frequency electromagnetic field, photonic and audio stimulation on the human brain wave activity and skin impedance. He has 9 years experience in the research and development areas of biomedical engineering, brain–computer interface, EEG/ECG and sleep monitoring,

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    Dean Cvetkovic (Ph.D. 2005 in biomedical engineering, RMIT University). He is a Postdoctoral Research Fellow at School of Electrical and Computer Engineering, RMIT University. His research is based on investigation of extremely low frequency electromagnetic field, photonic and audio stimulation on the human brain wave activity and skin impedance. He has 9 years experience in the research and development areas of biomedical engineering, brain–computer interface, EEG/ECG and sleep monitoring, bioinstrumentation, bioelectromagnetism, biosignal and biostatistical processing and analysis, biomedical artificial intelligence, automation and modeling. His current research projects include the design and development of biofeedback system for human sleep induction and relaxation, automated sleep scoring and monitoring systems in obstructive sleep apnoea/hypopnoea detection, mathematical sleep modeling/simulation and investigation of ELF/RF EMF bioeffects, etc. He has published over 30 refereed publications.

    Elif Derya Übeyli (Ph.D. 2004 in electronics and computer technology, Gazi University). She is an Associate Professor at the Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology. She has worked on variety of topics including biomedical signal processing, neural networks, optimization and artificial intelligence. She has worked on several projects related with biomedical signal acquisition, processing and classification. Dr. Übeyli has served (or is currently serving) as a program organizing committee member of the national and international conferences. She is editorial board member of several scientific journals. She is assistant editor of Expert Systems. She is serving as a guest editor to the Expert Systems on a special issue “Advances in Medical Decision Support Systems.” Moreover, she is voluntarily serving as a technical publication reviewer for many respected scientific journals and conferences. She has also published 78 journal and 33 conference papers on her research areas.

    Irena Cosic (Ph.D. 1985 in biomedical engineering, University of Belgrade). From 1977 to 1989 she was senior researcher at the Institute Vinca, Belgrade, where she was working on a variety of projects in biomedical engineering, digital signal analysis and telecommunication. In 1980 she commenced her research in digital signal processing applications on linear macromolecules. This research resulted in the Resonant Recognition Model (RRM) of protein and DNA interactions. From 1989 until the beginning of 1993 she was a Research Fellow in the Biochemistry Department, Monash University, where she was able to test some practical applications of the RRM model. From 1993 until February 2002 she has been a Senior Lecturer/Associate Professor in the Department of E&CS at Monash University, where she is continuing her research in the field of biomolecular electronics. Since February 2002 she is appointed as Professor of Biomedical Engineering and Head of School of Electrical and Computer Engineering at RMIT University. Professor Cosic is senior member of IEEE, Fellow of IEAust and active member of a number of other national and international professional societies. She teaches bioelectromagnetism and biomedical engineering, she has published one research book, one international patent as well as over 100 other refereed publications predominantly in the area of biomolecular electronics and biomedical engineering.

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