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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: | SMART DEVICE FOR EARLY DETECTION OF APOPLEXY |
| Authors Name: | V.Sanjay Srinivas , S.Sriram |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216699
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| Published Paper Id: | IJNRD2403548 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | ABSTRACT— Apoplexy is a leading cause of disabilities in adults and the elderly which can result in numerous social or economic difficulties. If left untreated, stroke can lead to death. In most cases, patients with stroke have been observed to have abnormal bio-signals (i.e., ECG). Therefore, if individuals are monitored and have their bio-signals measured and accurately assessed in real-time, they can receive appropriate treatment quickly. In this paper, we developed a stroke prediction system that detects stroke using real-time bio-signals. Both machine learning (Random Forest) and deep learning (Long Short-Term Memory) algorithms were used in our system. EMG (Electromyography) bio-signals were collected in real time from thighs and calves, after which the important features were extracted, and prediction models were developed based on everyday activities. Prediction accuracies of 90.38% for Random Forest and of 98.958% for LSTM were obtained for our proposed system. This system can be considered an alternative, low-cost, real-time diagnosis system that can obtain accurate stroke prediction and can potentially be used for other diseases such as heart disease. |
| Keywords: | KEYWORDS: - Electromyography, apoplexy diseases analysis, machine learning. |
| Cite Article: | "SMART DEVICE FOR EARLY DETECTION OF APOPLEXY", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f419-f425, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403548.pdf |
| Downloads: | 00050 |
| 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:IJNRD2403548 Registration ID: 216699 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f419-f425 Country: Chennai, Tamil nadu, India Research Area: Bio Medical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403548 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403548 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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