|
|||||||||||||||
|
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) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | BRAIN EPILEPTIC SEIZURE DETECTION USING DEEP LEARNING |
| Authors Name: | Mekala M , Mrs. Anitha V , Asma Begam M , Dharshini G |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218475
|
| Published Paper Id: | IJNRD2404403 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Epilepsy is a chronic condition characterized by recurring, spontaneous seizures. If a person has two or more unprovoked seizures, they are diagnosed with epilepsy. Epilepsy seizures can be caused by a brain damage or a genetic predisposition, although the reason is often unknown. Overcoming the difficulty of accurately describing seizure occurrences in a broad and heterogeneous population of patients is thus a critical step toward clinical applicability. As a result of significant patient inter-variability in epileptic diseases, present technologies have difficulty generalizing to unseen patients, and they frequently need to be fine-tuned to each patient. Several approaches have been developed to detect and forecast seizure events from EEG of epileptic patients collected mostly during short in- hospital monitoring with standard scalp-EEG or intracerebral electrodes, thanks to the rise of Deep Learning (DL) in the biomedical sector. Though some methods reported outstanding results, the majority used offline analysis with extensive pre- processing and manipulation of the EEG data, which is incompatible with the goal of online, long-term, low-power ambulatory operations. The difficulties in accurately detecting automated epileptic seizures with DL and EEG modalities are explored. The benefits and drawbacks of using DL-based approaches to diagnose epileptic seizures are discussed. Finally, the most promising DL models are proposed, as well as potential future research on automated epileptic seizure detection. |
| Keywords: | Convolutional Neural Networks(CNNs),Artificial Neural Networks(ANNs),Recurrent Neural Networks(RNNs) |
| Cite Article: | "BRAIN EPILEPTIC SEIZURE DETECTION USING DEEP LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e10-e15, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404403.pdf |
| Downloads: | 00028 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2404403 Registration ID: 218475 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: e10-e15 Country: Salem, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404403 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404403 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn