Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Body Temperature Measurement for Remote Health Monitoring System

Author : Priyanka Sharma 1 Ram Narayan Shukla 2 Tarun Dhar Diwan 3

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Date of Publication :15th October 2020

Abstract: In today’s world, women safety has become a major issue as they can’t step out of their house at any given time due to physical/sexual abuse and a fear of violence. Atrocities towards (and against) women are forms of oppression hindering the development of women and thereby resulting in gender injustice, this being ideologically supported by a value system, which is androcentric and gender insensitive. Deepening inequalities and struggles by the oppressed section to assert their rights (granted under democracy) have unleashed retaliations by the more privileged and, women situated as they are in the social matrix as non-free, dependent subjectivities, become specially affected ones. Even in the 21st century where the technology is rapidly growing and new gadgets were developed but still women’s and girls are facing problems. Even today in India, women can’t move at night in secluded places and even at day time crowded places hundreds and thousands of incidents of physical/sexual abuse happening to every day women in this country. Among other crimes, rape is the fastest growing crime in the country today.

Reference :

    1. Centers for Disease Control and Prevention. TheStateofAgingandHealthinAmerica2013; Centers for Disease Control and Prevention, US Department of Health and Human Services: Atlanta, GA, USA, 2013.
    2. World Health Organization. Family Planning/Contraception. 2015. Available online: http://www.who.int/ mediacentre/factsheets/fs351/en/ (accessed on 20 June 2016).
    3. Deen, M.J. Information and communications technologies for elderly ubiquitous healthcare in a smart home. Pers. Ubiquitous Comput. 2015, 19, 573–599.
    4. Wang, H.; Choi, H.-S.; Agoulmine, N.; Deen, M.J.; Hong, J.W.-K. Information-based sensor tasking wireless body area networks in U-health systems. In Proceedings of the 2010 International Conference on Network and Service Management, Niagara Falls, ON, Canada, 25–29 October 2010; pp. 517–522.
    5. Ullah, S.; Higgins, H.; Braem, B.; Latre, B.; Blondia, C.; Moerman, I.; Saleem, S.; Rahman, Z.; Kwak, K. A Comprehensive Survey of Wireless Body Area Networks. J. Med. Syst. 2012, 36, 1065–1094..
    6. Valchinov, E.; Antoniou, A.; Rotas, K.; Pallikarakis, N. Wearable ECG System for Health and Sports Monitoring. In Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare—“Transforming Healthcare through Innovations in Mobile and Wireless Technologies”, Athens, Greece, 3–5 November 2014; pp. 63–66.
    7. Yang, J.; Wei, D.; Tang, L.; Song, X.; Luo, W.; Chu, J.; Gao, T.; Shi, H.; Du, C. Wearable temperature sensor based on graphene nanowalls. RSC Adv. 2015, 5, 25609– 25615.
    8.  Fontecha, J.; Hervas, R.; Bravo, J.; Villarreal, V. An NFC Approach for Nursing Care Training. In Proceedings ofthe2011ThirdInternationalWorkshoponNearFieldComm unication,Hagenberg,Austria,22–23February 2011; pp. 38–43.
    9. Liu, Y. A Heart Rate Finger Ring and Its Smartphone APP through Customized NFC. Master’s Thesis, RoseHulman Institute of Technology, Terre Haute, IN, USA, 2015.
    10. Abdelgawad A., Yelamarthi K., Khattab A. (2017) IoT-Based Health Monitoring System for Active and Assisted Living. In: Gaggi O., Manzoni P., Palazzi C., Bujari A., Marquez-Barja J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 195. Springer, Cham, pp. 11-20
    11. Nani, P. , “A project report on patient monitoring system”,available athttp://www.academia.edu/11154016/a_pject_report_o n_patent_monitoring-system Accessed 19 January 2019.
    12. ElProCus - Electronic Projects for Engineering Students. “Automatic Wireless Health Monitoring System Circuit and Working” available at: https://www.elprocus.com/automatic-wirelesshealthmonitoring-system-circuit/ [Accessed 19 May 2018]
    13. Navdeti, P., Parte, S., Talashilkar, P., Patil, J., & Khairnar, V., “Patient parameter monitoring system using Raspberry Pi”, International Journal of Engineering And Computer Science, Vol. 5, No. 3, March 2016, pp. 16018- 16021
    14. Hossain, M. S., & Muhammad, G. (2016). Cloudassisted Industrial Internet of Things (IIoT)– Enabled framework for health monitoring”, Computer Networks, Vol, 101, June 2016, pp. 192-202.
    15. Dunsmuir, D. T., Payne, B. A., Cloete, G., Petersen, C. L., Görges, M., Lim, J., and Ansermino, J. M. , “Development of mHealth Applications for Preeclampsia Triage”, IEEE journal of Biomedical and Health Informatics, Vol. 18, No. 6, November 2014, pp. 1857- 1864
    16. Martin Fodslette Moller., A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning, Neural Networks, Vol. 6, pp. 525-533, 1993. [17] Murat Kayri, Predictive Abilities of Bayesian Regularization and Levenberg-Marquardt Algorithms in Artificial Neural Networks: A Comparative Empirical Study on Social Data, Mathematical and Computational Applications, 2016.
    17. D. Foresee and M. Hagan, Gauss-Newton Approximation to Bayesian Learning, Neural Networks, Vol. 3, pp. 1930-1935, 1997.
    18. Bluetooth Basics available at https://learn.sparkfun.com/tutorials/bluetooth-basics accessed January 29,2019.
    19. E-Health Sensor Platform V2.0 for Arduino and Raspberry Pi [Biometric / Medical Applications]. Retrieved November 5, 2018, from https://www.cookinghacks.com/documentation/tutorials/e health-biometricsensor-platform-arduino-raspberry-pimedical
    20. Bin Yu ; Lisheng Xu ; Yongxu Li(2012) “Bluetooth Low Energy (BLE) based mobile electrocardiogram monitoring system”, In the proceedings of International Conference on Information and Automation, June 6-8, 2012, Shenyang, pp. 763-767
    21. Navdeti, P., Parte, S., Talashilkar, P., Patil, J., & Khairnar, V., “Patient parameter monitoring system using Raspberry Pi”, International Journal of Engineering And Computer Science, Vol. 5, No. 3, March 2016, pp. 16018- 16021
    22. Hossain, M. S., & Muhammad, G. (2016). Cloudassisted Industrial Internet of Things (IIoT)– Enabled framework for health monitoring”, Computer Networks, Vol, 101, June 2016, pp. 192-202.
    23. Hossain, M. S. (2017). Cloud-supported cyber– physical localization framework for patients monitoring. IEEE Systems Journal, Vol. 11, No.1, March 2017, pp. 118-127.
    24. Liu, Y. A Heart Rate Finger Ring and Its Smartphone APP through Customized NFC. Master’s Thesis, RoseHulman Institute of Technology, Terre Haute, IN, USA, 2015.
    25. Yoo, H.-J.; Cho, N. Body channel communication for low energy BSN/BAN. In Proceedings of the APCCAS 2008—2008 IEEE Asia Pacific Conference on Circuits and Systems, Macao, China, 30 November–3 December 2008; pp. 7–11
    26. Matsuhisa, N.; Kaltenbrunner, M.; Yokota, T.; Jinno, H.; Kuribara, K.; Sekitani, T.; Someya, T. Printable elastic conductors with a high conductivity for electronic textile applications. Nat. Commun. 2015, 6, 7461

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