The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Spectral analysis methods for neurological signals
Open accessAbstract
This paper reviews some novel spectral analysis techniques that are useful for neurological signals in general and EEG signals in particular. First, some drawbacks and limitations of the commonly used Fast Fourier transforms (FFTs) are presented, and then alternative algorithms are outlined. An auto-regressive (AR) modeling based spectral estimation procedure is presented to overcome the problems of lower resolution and 'leakage' effects inherent in the FFT algorithm. For signals which are transient in nature or rapidly time-varying, two alternative algorithms are presented. The first is an adaptive AR parameter estimation algorithm and the second is a wavelet based time-frequency representation algorithm. Finally, a Spectral Distance measure and the Itakura distance measure are presented to quantify the differences between the spectra of two signals in a succinct manner. The application and performance of all the algorithms is illustrated using electroencephalograms (EEGs) recorded in animals during hypoxic asphyxic injury to brain.
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Cites
On the use of windows for harmonic analysis with the discrete Fourier transform
Harris, F. J. (1978) · Proceedings of the IEEE · doi:10.1109/proc.1978.10837 · Cited by 7,326
Cited by
Ding, M., Bressler, S. L., Yang, W., & Liang, H. (2000) · Biological Cybernetics · doi:10.1007/s004229900137 · Cited by 582
A comparative review on sleep stage classification methods in patients and healthy individuals
Boostani, R., Karimzadeh, F., & Nami, M. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.12.004 · Cited by 316
Advances in Quantitative Electroencephalogram Analysis Methods
Thakor, N. V., & Tong, S. (2004) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.5.040202.121601 · Cited by 305
Self-citationA recording and analysis system for human tremor
Engin, M. (2007) · Measurement · doi:10.1016/j.measurement.2006.05.015 · Cited by 16
Metadata
- Authors
- Muthuswamy, J., & Thakor, N. V.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 1998-08
- Volume
- 83
- Issue
- 1
- Pages
- 1-14
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2088082588
- Cited by
- 193
- References
- 1
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Muthuswamy, J., & Thakor, N. V. (1998). Spectral analysis methods for neurological signals. Journal of Neuroscience Methods. https://doi.org/10.1016/s0165-0270(98)00065-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
