Smart Health Record for ECG Data and Its Classification for Atrial Fibrillation using NFC card

Miss. Yashanjali Sisodia, Dr.Kishor wagh

Abstract


Current increasing in population has lead to in-crease in number of patients hospitals .Today biggest task for the doctors in hospital is to maintain retrieve the patients data. The data maintaining is a crucial task all over the world various methods or technologies are implied to maintain data. Thus understanding the current problem this system is proposed to retrieve data at faster rate in an easy way by using NFC card. The system is introducing smart health record for patients data(normal,pvc, heart patient, etc.) based on reports classification is processed. ECG results are shown on graph. For precision results random forest algorithm is used. System also detects Atrial fibrillation automatically from signs recorded utilizing an unobtrusive bed-mounted vibration sensor. Mainly system is focused to provide accurate data detection also maintains accurate patient history. System also retrieves data at faster rate whenever doctor needs patient’sdata,as only patient has to carry NFC card. Data can be stored retrieved from cloud server which will be designed for system. Index Terms—NFC,patient, health, data.

Full Text:

PDF

References


DivyashikhaSethial, Daya Gupta, Huzur Saran NFC Based Secure

Mobile Healthcare System 978-1-4799-3635-9/14 2014 IEEE.

C. 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.

, pp. 1316.

NafisehKahani 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.

BankarKartik, Joshi Bhargav, MungalMahajan, SubhashRathod, 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.

Dissertation-I Report submitted in partial fulfillment of the

requirements.

NahitEmanet 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.

FeriFahrianto, Muhammad FadilLubis, Andrew Fiade, Denial-ofService

attack Possibilities on NFC Technology.

Tea Marasovic, VladanPapic 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

ballistocardiogram 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,

C. 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.


Refbacks

  • There are currently no refbacks.


Copyright © IJETT, International Journal on Emerging Trends in Technology