Detection of epilepsy based on discrete wavelet transform and Teager-Kaiser energy operator

Badani, Sahil; Saha, Sourajit; Kumar, Ankit; Chatterjee, Soumya; Bose, Rohit

doi:10.1109/calcon.2017.8280717

“…Wavelet transform combined with a Teager–Kaiser energy operator can effectively separate local amplitude and frequency fluctuations [ 56 ]. Teager–Kaiser energy operator can be defined as follows:…”

Section: Methodsmentioning

confidence: 99%

Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition

Derlatka

¹

,

Borowska

²

2023

Sensors

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Human gait recognition is one of the most interesting issues within the subject of behavioral biometrics. The most significant problems connected with the practical application of biometric systems include their accuracy as well as the speed at which they operate, understood both as the time needed to recognize a particular person as well as the time necessary to create and train a biometric system. The present study made use of an ensemble of heterogeneous base classifiers to address these issues. A Heterogeneous ensemble is a group of classification models trained using various algorithms and combined to output an effective recognition A group of parameters identified on the basis of ground reaction forces was accepted as input signals. The proposed solution was tested on a sample of 322 people (5980 gait cycles). Results concerning the accuracy of recognition (meaning the Correct Classification Rate quality at 99.65%), as well as operation time (meaning the time of model construction at <12.5 min and the time needed to recognize a person at <0.1 s), should be considered as very good and exceed in quality other methods so far described in the literature.

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“…Teager-Kaiser energy operator (TKEO) is a nonlinear operator determining the instantaneous energy of a non-stationary signal. TKEO is for discrete signal defined as Ψ(x(n)) = x 2 (n) − x(n + 1) x(n − 1), where x is the signal value and n is the sample number 24,25 .…”

Section: Seeg Recordingsmentioning

confidence: 99%

Shadows of very high-frequency oscillations can be detected in lower frequency bands of routine stereoelectroencephalography

Vasickova

¹

,

Klimeš

²

,

Cimbálník

³

et al. 2023

Sci Rep

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Very high-frequency oscillations (VHFOs, > 500 Hz) are more specific in localizing the epileptogenic zone (EZ) than high-frequency oscillations (HFOs, < 500 Hz). Unfortunately, VHFOs are not visible in standard clinical stereo-EEG (SEEG) recordings with sampling rates of 1 kHz or lower. Here we show that “shadows” of VHFOs can be found in frequencies below 500 Hz and can help us to identify SEEG channels with a higher probability of increased VHFO rates. Subsequent analysis of Logistic regression models on 141 SEEG channels from thirteen patients shows that VHFO “shadows” provide additional information to gold standard HFO analysis and can potentially help in precise EZ delineation in standard clinical recordings.

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“…TKEO is for discrete signal de ned as Ψ(x(n)) = x 2 (n)-x(n + 1)x(n-1), where x is the signal value and n is the sample number. [24], [25] 75th Percentile…”

Section: Calculated Features: Amplitude Maximummentioning

confidence: 99%

Shadows of very high-frequency oscillations in routine stereoelectroencephalography

Vasickova

¹

,

Klimeš

²

,

Cimbálník

³

et al. 2022

Preprint

0

View full text Add to dashboard Cite

Very high-frequency oscillations (VHFOs, > 500 Hz) are more specific in localizing the epileptogenic zone (EZ) than high-frequency oscillations (HFOs, < 500 Hz). Unfortunately, VHFOs are not visible in standard clinical stereo-EEG (SEEG) recordings with sampling rates of 1 kHz or lower. Here we show that “shadows” of VHFOs can be found in frequencies below 500 Hz and can help us to identify SEEG channels with a higher probability of increased VHFO rates. Subsequent analysis of Logistic regression models on 141 SEEG channels from thirteen patients shows that VHFO “shadows” provide additional information to gold standard HFO analysis and can potentially help in precise EZ delineation in standard clinical recordings.

show abstract

Detection of epilepsy based on discrete wavelet transform and Teager-Kaiser energy operator

Cited by 16 publications

References 14 publications

Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition

Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition

Shadows of very high-frequency oscillations can be detected in lower frequency bands of routine stereoelectroencephalography

Shadows of very high-frequency oscillations in routine stereoelectroencephalography

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