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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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| Paper Title: | Stress Detection Through Heart Rate Variability Using Deep Neural Networks |
| Authors Name: | Abhishek Chinthakunta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_189590
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| Published Paper Id: | IJRTI2404059 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Stress, a response to perceived pressure, can lead to mental health issues when chronic. Heart rate variability (HRV), measuring the time between heartbeats, is used to assess stress physiologically. Despite its use, accurately detecting stress via HRV remains challenging. Our study investigates HRV's potential as a stress biomarker, employing a convolutional neural network (CNN) to classify stress into no stress, interruption stress, and time pressure stress categories. Utilizing the Stress Classification - WIN23 dataset, our model achieves a remarkable 95% accuracy, with superior precision, recall, F1-score, and Matthews correlation coefficient (MCC) compared to existing methods. Feature extraction techniques like analysis of variance (ANOVA) highlight essential HRV features for stress detection, enhancing model accuracy and robustness. This underscores HRV-based stress detection's potential, emphasizing machine learning's crucial role in precise stress level classification. |
| Keywords: | Convolutional Neural Networks, Heart Rate Variability, ECG, EMG, Deep Neural Networks, Autonomic Nervous System, Multi-Layer Perceptron, Django, XGBoost Classifier. |
| Cite Article: | "Stress Detection Through Heart Rate Variability Using Deep Neural Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.409 - 418, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404059.pdf |
| Downloads: | 000205261 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2404059
Registration ID:189590
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 409 - 418 Country: Mahbubnagar, Telangana, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404059 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404059 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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