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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The datas compare using power density spectrum and continuous wavelet transformer.
📌 3 Key Takeaways
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Objective & Hypothesis:This study presents one EEG signal from a healthy person brain wavelet and two EEG signals from epilepsy patient one of them is patient normal brain wavelet ,other is while epileptic seizure.
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Key Findings & Data:Data are validated for reliability and validity and are obtained from data records at the University Hospital of Bonn, Germany.
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Conclusion & Impact:The datas compare using power density spectrum and continuous wavelet transformer.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:EEG · continuous time wavelet · power spectrum density
Abstract
This study presents one EEG signal from a healthy person brain wavelet and two EEG signals from epilepsy patient one of them is patient normal brain wavelet ,other is while epileptic seizure. Data are validated for reliability and validity and are obtained from data records at the University Hospital of Bonn, Germany. The datas compare using power density spectrum and continuous wavelet transformer.
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Cite This Article
Kulaklı, G., Akinci, T. C. (2018). PSD AND WAVELET ANALYSIS OF SIGNALS FROM A HEALTHY AND EPILEPTIC PATIENT. The Journal of Cognitive Systems, Volume: 3 Issue: 1. https://ajindex.com/articles/1552022