International Clinical Neuroscience Journal

Vol. 4 No. 4 (2017)

Detection of Focal Epileptic Seizure Using NIRS Signal Based on Discrete Wavelet Transform

International Clinical Neuroscience Journal, Vol. 4 No. 4 (2017), 8 October 2017 , Page 134-139

Abstract

Background: Despite the large number of research and significant advances in neuroscience, the hemodynamic activities of epilepsy have been rarely investigated due to high costs, need for contrast agents in fMRI and PET, lack of signals during epileptic seizure and un-portability of the equipment. Recently, Near-infrared spectroscopy (NIRS) system has attracted a large number of researchers. This system does not have the above-mentioned problems and provides a better temporal resolution than the other equipment; however, it cannot be compared to PET or fMRI, in terms of spatial resolution. The project was conducted with a feasibility study to detect epileptic seizures and extraction of epileptic dynamics using a time multiplex system at 2 wavelengths of 740 and 850 nm. Analyzing the frequency and temporal-domains of 8 patients with focal epilepsy in temporal area during the time of sleeping, we can identify the most difference between epileptic and normal conditions in low-frequencies at the high order Daubechies wavelet transform of hemodynamic components. The main challenge is the significant resemblances between epileptic dynamic and motion artifact in low frequencies. Finally, using the most appropriate features such as Shannon entropy and the new index that we named “upgraded cumulants” showing proper separability under t test and also by using different classifiers, the best result was achieved with the help of SVM classifier with an accuracy of 78.57%

 

Keywords:
  • Component
  • Detection
  • NIRs Signal
  • Epileptic Seizure
  • Daubechies wavelet
  • Upgraded cumulants
  • Shannon Entropy
  • SVM Classifier

How to Cite

1.
Modir A, Khalilzadeh MA, Gorji A. Detection of Focal Epileptic Seizure Using NIRS Signal Based on Discrete Wavelet Transform. Int Clin Neurosci J [Internet]. 2017 Oct. 8 [cited 2023 Dec. 1];4(4):134-9. Available from: https://journals.sbmu.ac.ir/neuroscience/article/view/19175

References

Saraceno B, Avanzini G, Lee P. Epilepsy Care in the World. Geneva: World Health Organization; 2013.

Magiorkinis E, Sidiropoulou K, Diamantis A. Hallmarks in the history of epilepsy: epilepsy in antiquity. Epilepsy Behav. 2010;17(1):103-8. doi: 10.1016/j.yebeh.2009.10.023.

Jöbsis FF. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science. 1977;198(4323):1264-7.

Nishihara K, Kawai H, Gomi T, Terajima M, Chiba Y. Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique. IEEE Trans Biomed Eng. 2008;55(2 Pt 1):636-42.

Jeppesen J. Near infrared spectroscopy as a seizure detection technology for patients with epilepsy. Clin Neurophysiol. 2016; 128(3):e101. doi:10.1016/j.clinph.2015.11.341

Hueber DM, Franceschini MA, Ma HY, Zhang Q, Ballesteros JR, Fantini S, et al. Non-invasive and quantitative near-infrared haemoglobin spectrometry in the piglet brain during hypoxic stress, using a frequency-domain multidistance instrument. Phys Med Biol. 2001;46(1):41-62.

Torricelli A, Contini D, Pifferi A, Caffini M, Re R, Zucchelli L, Spinelli L. Time domain functional NIRS imaging for human brain mapping. Neuroimage. 2014;85 Pt 1:28-50. doi: 10.1016/j.neuroimage.2013.05.106.

Cui X, Bray S, Reiss AL. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage. 2010;49(4):3039-46. doi: 10.1016/j. neuroimage.2009.11.050.

Venclove S, Daktariunas A, Ruksenas O. Functional near-infrared spectroscopy: a continuous wave type based system for human frontal lobe studies. EXCLI J. 2015;14:1145-52. doi: 10.17179/excli2015-614.

Roche-Labarbe N, Wallois F, Ponchel E, Kongolo G, Grebe R. Coupled oxygenation oscillation measured by NIRS and intermittent cerebral activation on EEG in premature infants. Neuroimage. 2007;36(3):718-27.

Tomita Y, Vialatte FB, Dreyfus G, Mitsukura Y, Bakardjian H, Cichocki A. Bimodal BCI using simultaneously NIRS and EEG. IEEE Trans Biomed Eng. 2014;61(4):1274-84.

Wallois F, Patil A, Héberlé C, Grebe R. EEG-NIRS in epilepsy in children and neonates. Neurophysiol Clin. 2010;40(5- 6):281-92. doi: 10.1016/j.neucli.2010.08.004.

Sawan M, Salam MT, Gelinas S, Lan JL, Lesage F, Nguyen DK. Combined NIRS-EEG remote recordings for epilepsy and stroke real-time monitoring. Paper presented at: 2012 IEEE International Symposium on Circuits and Systems; 20-23 May 2012.

  • Abstract Viewed: 447 times
  • PDF Downloaded: 365 times

Download Statastics