Paper Title

Seizure Detection and Probability Prediction using Random Forests

Article Identifiers

Registration ID: IJNRD_208603

Published ID: IJNRD2311133

DOI: Click Here to Get

Authors

Udayan Gaikwad , Mukta Patil , Saniya Inamadar , Akash Bhagwat

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

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.

How To Cite

"Seizure Detection and Probability Prediction using Random Forests", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b250-b255, November-2023, Available :https://ijnrd.org/papers/IJNRD2311133.pdf

Issue

Volume 8 Issue 11, November-2023

Pages : b250-b255

Other Publication Details

Paper Reg. ID: IJNRD_208603

Published Paper Id: IJNRD2311133

Downloads: 000121141

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311133.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311133

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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