Prevention and Detection of Heart Disease with Smart Wearable Band

Authors

  • Nivedita Shimbre, Prema Sahane, Arti Kalhapure, Mayur Jagtap, Shubham More, Pratik Katkar

Keywords:

Galvanic Skin Response, Heart Rate Variability, Perceived stress scale.

Abstract

Stress, a significant aspect of modern life, contributes to various health issues majorly heart attack. It caused due to obesity, pre-diabetes, and stress. Overcoming challenges in stress detection and management is very crucial. IoT plays important role to overcome this challenges. We are developing a smart wearable stress detection band using sensors such as GSR (Galvanic Skin Response) and HRV (Heart Rate Variability), along with PSS for stress measurement. This software continuously monitors stress levels and offers suggestions like exercise, meditation, and yoga, diet, reading books, healthy diet and many more. But in extreme cases, the band facilitates medical consultations through a user-friendly interface, enabling early detection and quick treatment to enhance life expectancy. This project aim is not only identifies stress but also pre-detects stress induced heart attacks. In critical situation system can swiftly notify medical agencies and family members contributing to early diagnosis and treatment. Overall, this initiative represents a significant step toward enhancing human well-being, promoting a smoother life, and increasing life expectancy by saving lives.

Downloads

Download data is not yet available.

References

“Information about internet of thing, Application, charactertics, history”, wikipedia https://en.wikipedia.org/wiki/Internetofthings (accessed Aug. 11, 2023).

Carmen Di Nardo,”IoT use cases: from industry to home automation”, deltalogix, https://deltalogix.blog (Accessed: Aug 24 2023)..

Alexander S Gillis, ”Definition of Internet of thing”, techtarget, https://www.techtarget.com (accessed July Monday 2023)

”Document on Perceived Stress Scale (PSS)”, NH dept. of administrative service https://www.das.nh.gov/wellness/docs (accessed June 12 2023).

”Document on Perceived Stress Scale (PSS)”, mindgarden https://www.mindgarden.com/documents/PerceivedStressScale.pdf (accessed June 14 2023)

Yekta Said Can, Niaz Chalabianloo, Deniz Ekiz, Javier Fernandez- ´ Alvarez, Claudia Repetto, Giuseppe Riva, Heather Iles-Smith, and Cem Ersoy, “Real-life stress level monitoring using smart band in light of contextual information”, IEEE sensor journal (2018).

Jongwoo Prak, Jongsu Kim, Sung Phil Kim, “Prediction of daily Mental Stress Levels Using a wearable Photoplethysmography sensor”, TENCON (2018)

Sreedevi Uday, C. Jyotsna, Amudha J, “Detection of stress using wearable sensors in IOT platform”, 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT 2018).

Ayten Ozge Akmandor, “Keep the stress away with SoDA : Stress Detection and Alleviation System”, IEEE TRANSACTIONS ON MULTISCALE COMPUTING SYSTEMS,(2017).

Nur E Jannat Asha, Ehtesum-Ul-Islam, Riasat Khan, “Low cost high rate sensor and mental stress detection using machine learning”, International Conference on Trends in Electronics and Informatics (ICOEI). IEEE (2021).

Chung-Yen Liao, Rung-Ching Chen, Shao-Kuo Tai, ”Emotion stress detection using EEG signal and deep learning technologies”, International Conference on Applied System Innovation (2018).

Pramod Bobade, Vani M. “Stress detection with Machine learning and deep learning using multimodal Physiologic data”, International Conference on Inventive Research in Computing Applications (ICIRCA2020)

SARA ARISTIZABAL, KUNJOON BYUN, NADIA WOOD , AIDAN F. MULLAN, PAIGE M. PORTER , CAROLINA CAMPANELLA, ANJA JAMROZIK , IVAN Z. NENADIC, AND BRENT A. BAUER “The feasibility of Wearable and self-report stress detection measures in semi controlled lab environment”, (2021).

Lesya Anishchenko, Alina Turetzkaya, ”Improved Non-Contact Mental Stress Detection via Bioradar”, International Conference on Biomedical Innovations and Applications (BIA) (2021)

Damini Verma, Kshitij RB Singh, Amit K. Yadav, Vanya Nayak, Jay Singh b, Pratima R. Solanki, Ravindra Pratap Singh, ”Internet of things (IoT) in nano-integrated wearable biosensor devices for healthcare applications”, Elsevier (Biosensors and Bioelectronics: X)(2021)

Kyounghyun Park, Min Jung Kim, Jungsook Kim, Oh Cheon Kwon, Daesub Yoon, HyunSuk Kim, ”Requirements and Design of Mental Health System. for Stress Management of Knowledge Workers”, International Conference on Information and Communication Technology Convergence (ICTC) (2021)

Yongtao Li, Xiaolong Liang, Jialan Xie, ”Constructing an Effective Model for Mental Stress Detection with Small–scale Analysis”, 3rd Information Technology,Networking,Electronic and Automation Control Conference (ITNEC 2019).

Anusha A. S., Sukumaran P., Sarveswaran V., Surees Kumar S., Shyam A., Tony J. Akl, Preejith S. P., and Mohanasankar Sivaprakasam, ”Electrodermal Activity Based Pre-surgery Stress Detection Using a Wrist Wearable”, JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018).

Jinho Kim, Chan-Hyun Youn, Desok Kim, Jong-Min Woo, and Suntae Jung, ”Cost-Minimized E-Health Service for Identification of Mental Stress related Heart Rate Changes”, 4th IEEE/EMBS International Summer School and Symposium on Medical Devices and Biosensors (2007) (2007)

Varun Gupta, Anurag Jain, Neeraj Kumar, ”Identification of Emotion Stress Agents in Hindi and English Sentences”, International Conference on Intelligent Agent and Multi-Agent Systems (2009)

Alberto de Santos Sierra, Carmen Sanchez ´ Avila, Javier Guerra ´ Casanova, and Gonzalo Bailador del Pozo, ”A Stress-Detection System Based on Physiological Signals and Fuzzy Logic”, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 58, NO. 10, OCTOBER 2011

Mariette Soury, Laurrence Devillers, ”Stress detection from audio on multiple window analysis size in a public speaking task”, Humaine Association Conference on Affective Computing and Intelligent Interaction (2013).

George Tanev , Dorthe B. Saadi , Karsten Hoppe and Helge B.D. Sorensen, ”Classification of Acute Stress using Linear and Non-Linear Heart Rate Variability Analysis Derived from Sternal ECG ”, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2014)

A. Vorobyov , E. Daskalaki , C. Hennemann , J.-D. Decotignie, ”Human Physical Condition RF Sensing at THz range”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2016)

Suranga D.W. Gunawardhane, Pasan M. De Silva, Dayan S.B. Kulathunga, Shiromi M.K.D. Arunatileka, ”Non Invasive Human Stress Detection Using Key Stroke Dynamics and Pattern Variations ”, International Conference on Advances in ICT for Emerging Regions (ICTer): 240 - 247 (2013)

Tong Chen, Peter Yuen, Mark Richardson, Guangyuan Liu, and Zhishun She, ”Detection of Psychological Stress Using a Hyperspectral Imaging Technique”, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 5, NO. 4, OCTOBER-DECEMBER 2014.

Giorgos Giannakakis, Dimitris Grigoriadis, and Manolis Tsiknakis, ”Detection of stress/anxiety state from EEG features during video watching”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2015).

Jing Zhai, Student Member, IEEE and Armando Barreto, ”Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables ”, 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, 2006.

Murad Shibli, Mohammad S Sharawi, ”MODELING AND CHARACTERIZATION OF A MECHATRONICS SYSTEM FOR HUMAN STRESS DETECTION”, IEEE International Conference on Signal Processing and Communications (ICSPC 2007), 24-27 November 2007.

T. Yamakoshi, K. Yamakoshi, S. Tanaka, M. Nogawa, S.B. Park, M. Shibata, Y. Sawada, P. Rolfe, and Y. Hirose , ”Feasibility Study on Driver’s Stress Detection from Differential Skin Temperature Measurement”, 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.

Sanjay A. Patil and John H.L. Hansen, ”ENHANCING IN-VEHICLE SAFETY VIA CONTACT SENSOR FOR STRESS DETECTION”, IEEE International Conference on Vehicular Electronics and Safety (ICVES) (2009)

Jacqueline Wijsman, Bernard Grundlehner, Hao Liu, Hermie Hermens, and Julien Penders, ”Towards Mental Stress Detection Using Wearable Physiological Sensors”, 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, August 30 - September 3, 2011.

R. Castaldo, W. Xu, P. Melillo, Pecchia, Santamaria, C. James, ”Detection of Mental Stress due to Oral Academic Examination via Ultrashort-term HRV Analysis ”,

Stephen Paul Linder, Suzanne Wendelken, Jeffrey Clayman, ”Detecting Exercise Induced Stress using the Photoplethysmogram”, 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30- Sept 3, 2006.

Downloads

Published

24.03.2024

How to Cite

Nivedita Shimbre. (2024). Prevention and Detection of Heart Disease with Smart Wearable Band. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 3371–3378. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5973

Issue

Section

Research Article