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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Seizure Detection and Probability Prediction using Random Forests |
| Authors Name: | Udayan Gaikwad , Mukta Patil , Saniya Inamadar , Akash Bhagwat |
| Download E-Certificate: | Download |
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IJNRD_208603
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| Published Paper Id: | IJNRD2311133 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | This paper implements methodologies for seizure detection and prediction using mathematical techniques like FFT and Machine Learning classifiers such as Random Forest. The dataset for this project includes both training data, called Ictal and testing data called Interictal. For data pre-processing the Fast Fourier Transform is applied to each 1 second clip, taking frequency magnitudes in the range 1-47Hz and discarding phase information. Correlation coefficients and their eigenvalues are then calculated in both the time and frequency domains and are appended to the FFT data to form the feature set. This feature set is then trained on a Random Forest classifier using 3000 trees. The approach is used to train per-patient classifiers. A prediction module concludes this project by presenting the probability of seizure within a patient. The results are visualized for easy and clear representation. |
| Keywords: | Seizure Detection, Probability Prediction, Random Forests, FFT, Machine Learning Classifiers, Ictal Data, Interictal Data, Data Pre-processing, Feature Set, Correlation Coefficients, Eigenvalues, Per-Patient Classifiers, Prediction Module, Probability of Seizure, Visualization |
| Cite Article: | "Seizure Detection and Probability Prediction using Random Forests", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b250-b255, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311133.pdf |
| Downloads: | 000118748 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2311133 Registration ID: 208603 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: b250-b255 Country: Pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311133 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311133 |
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ISSN: 2456-4184
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