The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study
Open accessAbstract
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.
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The wavelet transform, time-frequency localization and signal analysis
Daubechies, I. (1990) · IEEE Transactions on Information Theory · doi:10.1109/18.57199 · Cited by 6,483
Cited by
Al-Fahoum, A. S., & Al-Fraihat, A. A. (2014) · ISRN Neuroscience · doi:10.1155/2014/730218 · Cited by 543
Advances in Photopletysmography Signal Analysis for Biomedical Applications
Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R. (2018) · Sensors · doi:10.3390/s18061894 · Cited by 292
Ai, L., Wang, J., & Yao, R. (2011) · Digital Signal Processing · doi:10.1016/j.dsp.2011.01.010 · Cited by 71
Health monitoring for elderly: An application using case-based reasoning and cluster analysis
Ahmed, M. U., Banaee, H., & Loutfi, A. (2013) · ISRN Artificial Intelligence · doi:10.1155/2013/380239 · Cited by 21
Metadata
- Authors
- Cvetkovic, D., Übeyli, E. D., & Cosic, I.
- Venue
- Digital Signal Processing
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 18
- Issue
- 5
- Pages
- 861-874
- ISSN
- 1051-2004 (ISSN-L)
- OpenAlex
- W1972269696
- Cited by
- 227
- References
- 1
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- green
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- Cvetkovic, D., Übeyli, E. D., & Cosic, I. (2008). Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study. Digital Signal Processing. https://doi.org/10.1016/j.dsp.2007.05.009
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
