Design and Development of a Two Channel Telemedicine System for Rural Healthcare

Abstract

In this work, an attempt has been made to design an Electro Cardio Gram (ECG) and Photo Plethysmo Gram (PPG) based telemedicine system for rural health care. In India as per the survey conducted by Indian Medical Society in the year 2009, it has been revealed that only 2% of the qualified doctors practice in rural areas. Also, according to the statistics taken by the World Health Organization, every year an estimated 17 million people die of various cardio vascular diseases. This paper introduces the transmission of ECG and PULSE from remote areas to the specialists’ office. The ECG and PPG signals are acquired, digitized and processed using LabVIEW for detection of heart and pulse rate. These data are transmitted using two methods namely Web publishing tool and Shared Variables. The results confirm the transfer of data with less than millisecond delay.

Share and Cite:

Ramesh, M. , Balasubramanian, S. , Vijayan, V. , Balasubramanian, G. and Veezhinathan, M. (2013) Design and Development of a Two Channel Telemedicine System for Rural Healthcare. Engineering, 5, 579-583. doi: 10.4236/eng.2013.510B119.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] M. J. Deghani, A. R. Shahabina and A. A. Safari, “Implementation of wireless based Bluetooth technology for Biosignal Monitoring,” World Applied Sciences Journal, Vol. 3, 2010,pp. 287-293.
[2] X. B. Shen, J. P. Zeng and T. D. Hin, “Remote Healthcare Monitoring System,” International Conference on Biomedical Engineering and Informatics, Vol. 3, 2010, pp. 1901-1905.
[3] H.-L. Chan, C.-Y. Lu, C.-H. Liu and M.-A. Lin, “Low-Power Wireless Transmission of Biosignals Using the Stotted ALOHA Mechanism,” IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, 2006, pp. 513-517.
[4] X. Tan, X.-M. Guo, M. Cheng, Y. Yan, College of Bio- engineering, Chongqing University, Chongqing, “Wireless Telemedicine Physiological Monitoring Center Based on Virtual Instruments,” The 1st International on Bioinformatics and Biomedical Engineering, Wuhan, 6-8 July 2007, pp. 1157-1160.
[5] National Instruments, “Integrated Suite of 12 Instruments for Interative, Cost-Effective, Multidisciplinary, Hands-On Learning [Data File],” 2008. http://www.addlink.es/pdf/AGDWeb1711.pdf
[6] Low Cost Low Power Instrumentation Amplifier AD620 [Data File]. 1999. http://www.stanford.edu http://www.stanford.edu/class/ee122/Parts_Info/datasheets/ad620.pdf
[7] P. Sauravh and M. Madhuchhanda, “Detection of ECG Characteristic Points Using Multiresolution Wavelet Anaylsis Based Selective Coefficient Method,” Elsevier Measurement, Vol. 43, No. 2, 2010, pp. 255-261.
[8] N. Akshay, N. A. V. Jonnabhotla, N. Sadam and N. D. Yeddanapudi, “ECG Noise Removal and QRS Complex Detection Using UWT,” IEEE International Conference on Electronics and Information Engineering (ICEIE), Kyoto, 1-3 August 2010, pp. 438-442.
[9] M. R. Rangaraj, “Biomedical Signal Analysis—A Case Study Approach,” IEEE Press, Calgary, 2002, pp. 187- 190.
[10] P. F. Li and L. H. Nie, “Remote control Laboratory based on LabVIEW,” 2nd International Conference on Intelligent Computation Technology and Automation, Vol. 4, 2009, pp. 84-87.
[11] H. Shekhar, J. S. J. Kumar, V. Ashok and A. V. Juliet, “Applied Medical Informatics Using LabVIEW,” 2nd International Conference on Intelligent Systems, Modelling and Simulation, Vol. 2, 2010, pp. 198-203.
[12] B. Sidhu, H. Singh and A. Chhabra, “Emerging Wireless Standards—WiFi, ZigBee and WiMAX,” World Academy of Science, Engineering and Technology, Vol. 25, 2007, pp. 1345-1349.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.