Classification of ECG For Atrial Fibrillation Using NFC Card for Medicare Record

Authors

  • Yashanjali Sisodia Department of Computer Engineering SPPU University ,Pune,India
  • Rupesh Mahajan Department of Computer Engineering Dr.D.Y.Patil Institute of Technology, Pimpri
  • Suvarna Alhat Department of Computer Engineering SPPU University ,Pune,India
  • Minal Shahakar Department of Computer Engineering Pimpri Chinchwad College of Engineering, Nigdi
  • Seema Darekar Department of Computer Engineering SPPU University ,Pune,India
  • Sarika Sawarkar Department of Computer Engineering Dr.D.Y.Patil Institute of Technology, Pimpri

Keywords:

fibrillation, affirmation, framework, tolerant, NFC card, ECG

Abstract

Current stretching out in masses has incite to in wrinkle in number of patients expert's workplaces .Today most conspicuous undertaking for the bosses in patching center is to keep up recover the patients information. The information keeping up is a dire undertaking any place all through the world. Unmistakable methods or advances are understood to really focus on information. Likewise understanding the current issue this construction is proposed to recover information at speedier rate in a fundamental manner by utilizing NFC card. The framework is showing sharp thriving record for patients data(normal ,pvc ,heart patient,etc) considering reports demand is prepared. ECG results are appeared on frame. For precision happens inconsistent forest area assessment is utilized . Structure in this way perceives Atrial fibrillation thusly from signs recorded using an unassuming bed mounted vibration sensor. By and large framework is secured to give right information affirmation correspondingly keeps up definite patient history. Framework similarly recovers information at snappier rate at anything point authority needs patients information, As just tolerant necessities to pass on NFC card. Information can be gotten recovered from cloud server which will be made arrangements for framework.

Downloads

Download data is not yet available.

References

Divyashikha Sethial, Daya Gupta, Huzur Saran NFC Based Secure Mobile Healthcare System 978-1-4799-3635-9/14 2014 IEEE.

Bruser, M. D. H. Zink, S. Winter, P. Schauerte, and S. Leonhardt, "Afeasibility study on the automatic detection of atrial fibrillation using an unobtrusive bed-mounted sensor", in Proc. Comput. Cardiol., 2011,vol. 38, pp. 1316.

Nafiseh Kahani Khalid Elgazzar James R. Cordy Authentication and Access Control in e-Health Systems in the Cloud.

Lahtela, A., Hassinen, M.and .Iylha, V. RFID and NFC in healthcare: Safety of hospitals medication care. IEEE proceedings on Pervasive Computing Technologies for Healthcare, pp. 241-244, 2008.

Juyoung Park, Seunghan Lee, and Kyungtae Kang Arrhythmia Detection using Amplitude Difference Features Based on Random Forest, 978-1-4244-9270-1/15,2015 IEEE.

The Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC), Guidelines for the management of atrial fibrillation, Eur. Heart J., vol. 21, pp. 23692429, 2010.

Bankar Kartik, Joshi Bhargav, Mungal Mahajan, Subhash Rathod, Near Field Communication Based Android API Healthcare system

Ana M. Lpez Gloria Fernndez and Francisco Burillo, Mobile computing with Near Field Communication (NFC) smart objects applied to archaeological Research, 2016 12th International Conference on Intelligent Environments978-1-5090-4056-8/16 , 2016 IEEE.

Nahit Emanet proposed, ECG Beat Classification by Using Discrete Wavelet Transform and Random Forest Algorithm for the classification of ECG beats, 9781-4244-3428-2/2009 IEEE.

Feri Fahrianto, Muhammad Fadil Lubis, Andrew Fiade, Denial-of- Service attack Possibilities on NFC Technology.

Tea Marasovic, Vladan Papic Cardiac Arrhythmia Detection Using DCT Based Compressive Sensing and Random Forest Algorithm.

Y. Lim, K. Hong, K. Kim, J. Shin, S. Lee, G. Chung, H. Baek, D. Jeong, and K. Park,, Monitoring physiological signals using nonintrusive sensors installed in daily life equipment, Biomed. Eng. Lett., vol. 1, no. 1, pp. 1120, 2011.

B. H. Jansen, B. H. Larson, and K. Shankar, Monitoring of the ballis to cardiogram with the static charge sensitive bed, IEEE Trans. Biomed. Eng., vol. 38, no. 8, pp. 748751, Aug. 1991.

G. Brown,, A new perspective for information theoretic feature selection, presented at the 12th Int. Conf. Artif. Intell. Statist., Tampa, FL, 2009.

Bruser, M. D. H. Zink, S. Winter, P. Schauerte, and S. Leonhardt, A feasibility study on the automatic detection of atrial fibrillation using an unobtrusive bed-mounted sensor,in Proc. Comput. Cardiol., 2011, vol. 38, pp. 1316.

Downloads

Published

23.02.2024

How to Cite

Sisodia, Y. ., Mahajan, R. ., Alhat, S. ., Shahakar, M. ., Darekar, S. ., & Sawarkar, S. . (2024). Classification of ECG For Atrial Fibrillation Using NFC Card for Medicare Record. International Journal of Intelligent Systems and Applications in Engineering, 12(16s), 723–729. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/5029

Issue

Vol. 12 No. 16s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.