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Reseach Article

Cardiovascular disease Detection through Wearable Home Care Assisted Living System

by Pravin Wararkar, Ankit Dixit, Aastha Gupta, Samay Mehta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 17
Year of Publication: 2015
Authors: Pravin Wararkar, Ankit Dixit, Aastha Gupta, Samay Mehta
10.5120/ijca2015907651

Pravin Wararkar, Ankit Dixit, Aastha Gupta, Samay Mehta . Cardiovascular disease Detection through Wearable Home Care Assisted Living System. International Journal of Computer Applications. 131, 17 ( December 2015), 24-27. DOI=10.5120/ijca2015907651

@article{ 10.5120/ijca2015907651,
author = { Pravin Wararkar, Ankit Dixit, Aastha Gupta, Samay Mehta },
title = { Cardiovascular disease Detection through Wearable Home Care Assisted Living System },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 17 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number17/23542-2015907651/ },
doi = { 10.5120/ijca2015907651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:38.277342+05:30
%A Pravin Wararkar
%A Ankit Dixit
%A Aastha Gupta
%A Samay Mehta
%T Cardiovascular disease Detection through Wearable Home Care Assisted Living System
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 17
%P 24-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The significance of developing an Assisted Living System (AALT) is increasing with the development in technology and an upward drift in independent living. The need is to develop a robust and accurate system which monitors the health of people, concentrating on elderly people. In this research work, the idea of wearing a Bluetooth integrated heart rate monitor wrist band to record and analyse the daily activities of the personnel has been proposed. The main concern is to provide them an environment which does not restrict their daily activities, understanding the human psychology. The hypothesis that wearable band can be used to examine the target heart rate and average maximum heart rate for detecting the health issue is being evaluated . However, the implementation of the same system in practical needs future research.

References
  1. R. Megret, D. Szolgay, J. Benois-Pineau, P. Joly, J. Pinquier, J.-F. Dartigues, and C. Helmer, “Wearable video monitoring of people with age dementia: Video indexing at the service of healthcare,” in Content- Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on, June 2008, pp. 101–108.
  2. Z. Zhou, X. Chen, Y.-C. Chung, Z. He, T. Han, and J. Keller, “Activity analysis, summarization, and visualization for indoor human activity monitoring,” Circuits and Systems for Video Technology, IEEE Transactions on, vol. 18, no. 11, pp. 1489–1498, Nov 2008.
  3. A. Khan, Y.-K. Lee, S. Lee, and T.-S. Kim, “Accelerometers position independent physical activity recognition system for long-term activity monitoring in the elderly,” Medical & Biological Engineering &Computing, vol. 48, no. 12, pp. 1271–1279,2010.
  4. Jaromir Przybylo, “Landmark detection for wearable home care ambient assisted living system” , in IEEE ,2010.
  5. Caitlin Hill, Grant Raymond, Irene Yeung, Case Study on “Ambient Assisted Living Technology”, submitted on, May 7, 2013.
  6. M.Bocca, S.Gupta, O.Kaltiokallio, B.Mager, Q. Tate, S.Kasera, N. Patwari1, S.Venkatasubramanian.“RF-based Device-Free Localization and Tracking for Ambient Assisted Living"
  7. Feng Zhou, Jianxin Jiao, Songlin Chen, Daqing Zhang.“A Case-Driven Ambient Intelligence System for Elderly in-Home Assistance Applications”, in IEEE,vol.41 ,issue no 2,2011.
  8. Oresko, J.J.; Zhanpeng Jin; Jun Cheng; Shimeng Huang; Yuwen Sun; Duschl, H.; Cheng, A.C.“ A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing", in IEEE,vol.14 ,issue no.3,2010.
Index Terms

Computer Science
Information Sciences

Keywords

Target heart rate resting heart rate AALT