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)
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.
"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
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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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