An Intelligent Approach Based Embedded System Design For Telemedicine Application
Introduction: The present research was conducted at Sikha ‘O’ Anusandan (deemed to be University) in 2017. Telemedicine application in the field of medicine creates a new age. Accordingly, it requires technology to be compatible. Easy access and fast processing are the major focuses in different applications. In this paper, an approach has been considered to diagnose heart diseases.
Methods: The model is designed using fuzzy logic in which the rule-based principle is applied to satisfy the objective. The model is developed keeping a view over the multi-agent system. The diagnosis of the patient is performed using Fuzzy Inference System (fis).
Results: The pathological test results will help to form the rules of the model and can work for the diagnosis in a convenient way. Furthermore, the results of detection are communicated through Internet and sms for monitoring and post care purpose of supporting IoT application.
Conclusion: The simulated result shows its performance can be helpful to physicians as well as patients from remote places.
Originality: The model is proposed for disease detection and monitoring patients on remote locations. Also, distributed agents are proposed to act on a common platform using Internet for the benefit of society. This will save time for physicians and travelling costs for the patient.
Limitations: The research results can be practically implemented in new medical equipment for hospitals with earlier equipment.
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H. D. Lee, A. Rabbi, J. Choi, and R. F. Rezai, “Develo-pment of a Mobile Phone Based e-Health Monitoring Application,” International Journal of Advanced Computer Science and Applications, vol. 3, no. 3, pp. 38-43,2012. doi: http://dx.doi.org/10.14569/IJJACSA.2012.030307
J. C Su, “Mobile multi-agent based, distributed in-formation platform (madip) for wide-area e-heal-th monitoring”, Computers in Industry, vol. 59, pp: 55-68, 2008. doi: https://doi.org/10.1016/j.com-pind.2007.06.001
N. Benhajji, D. Roy, and D. Anciaux, “Patient-cen-tered multi agent system for health care”,ifac-Pa-pers On Line, vol. 48, no. 3, pp: 710–714, 2015. doi: https://doi.org/10.1016/j.ifacol.2015.06.166
G. B. Silverman, N. Hanrahan, G. Bharathy, K. Gordon, and D. Johnson, “A systems approach to healthcare: Agent-based modeling,community mental health, and population well-being”, Artificial Intelligence in Medicine,vol. 63, pp. 61–71, 2015. doi: https://doi.org/10.1016/j.artmed.2014.08.006
H. O. Al-Sakran, “Framework architecture for improving healthcare information systems using agent technology”, International Journal of Ma-naging Information Technology, vol. 7, no. 1, pp. 17-31,February2015. doi: http://dx.doi.org/10.5121/ijmit.2015.7102
K. AlSharqi, A. Abdelbari, A. Abou-Elnour, and M. Tarique, “Zigbee based wearable remote healthcare monitoring system for elderly patients”, Internatio-nal Journal of Wireless & Mobile Networks (ijwmn), vol. 6, no. 3, pp. 53-67, 2014. doi: http://dx.doi.org/10.5121/ijwmn.2014.6304
M. N Mohanty, “An Embedded Approach for Design of Cardio Monitoring System”, Adv. Science Letters, vol. 22, no. 2, pp. 349-353, 2016. doi: https://doi.org/10.1166/asl.2016.6854
M. Singh, M. N. Mohanty, and R. N. D. Choudhury, “An Embedded Design for Patient Monitoring and Telemedicine”, Int.Journal of Electrical, Electronics & Computer Engineering”, vol. 2, no. 2, pp. 66-71, 2013, [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.668.3590&re-p=rep1&type=pdf
C. S. Devi, G. G.Ramani, and J. A. Pandian, “Inte-lligent E-Healthcare Management System in Medi-cinal Science”, International Journal of PharmTech Research, vol. 6, no. 6, pp. 1838-1845,Oct-Nov. 2014, [Online]. Available http://www.sphinxsai.com/2014/ph_vol6_no6/2/(1838-1845)%20014.pdf
E. E. Elavathingal and T. K. Sethuramalingam, “A Sur-vey of E-Healthcare Systems Using Wearable Devices and Medical Sensor Networks”, Karpagam journal of engineering research (kjer), vol. 1, no. 1, 2014, [On-line]. Available: https://www.researchgate.net/pro-file/Ebin_Elavathingal/publication/271832274_A_Survey_of_EHealthcare_Systems_Using_Wea-rable_Devices_and_Medical_Sensor_Networks/links/ 54d308980cf2b0c6146ca01b.pdf
S. Tupe and N. P. Kulkarni, “eca: Evolutionary Computing Algorithm for E-Healthcare Informa-tion System”, in iPGCON-2015, 24-25 March 2015, [Online]. Available:http://spvryan.org/splissue/ipg-con/063.pdf
M. Shouman, T. Turner, and R. Stocker, “Using De-cision Tree for Diagnosing Heart Disease Patients”, Conferences in Research and Practice in Information Technology (crpit), vol. 121, pp. 23-29, 2011, [On-line]. Available: http://crpit.com/confpapers/CRPI-TV121Shouman.pdf
M. Shouman, T. Turner, and R. Stocker, “Applying k-Nearest Neighbour in Diagnosing Heart Disease Patients”, International Journal of Information and Education Technology, vol. 2, no. 3, pp. 220-223, June 2012. doi: https://doi.org/10.7763/ijiet.2012.v2.114
D. Mandal, I. M. Chattopadhyay, and S. Mishra, “A Low Cost Non-invasive Digital Signal Processor Ba-sed (TMS320C6713) Heart Diagnosis System”, Int. Conf. on Recent Advances in Information Techno-logy, (rait), 2012. doi: https://dx.doi.org/10.1109/RAIT.2012.6194535
Q. A. Rahman, L. G. Tereshchenko, M. Kongkatong, T. M. Abraham, M. R. Abraham, and H.Shatkay, “Utilizing ecg-Based Heartbeat Classification for Hypertrophic Cardiomyopathy Identification”, ieee transactions on nanobioscience, vol. 14, no. 5, pp. 505-512, July 2015. doi: https://dx.doi.org/10.1109/TNB.2015.2426213
L. Sarangi, M. N. Mohanty, and S. Patnaik, “An Inte-lligent Decision Support System for Cardiac Disea-se Detection”,International Journal of Control Theory and Applications, vol. 8, no. 5, pp. 2137-2143, 2015, [Online]. Available:http://www.serialsjournals.com/ serialjournalmanager/pdf/1460974653.pdf
L. Sarangi, M. N. Mohanty, and S. Patnaik, “Criti-cal Heart Condition Analysis through Diagnostic Agent of e-Healthcare System using Spectral Do-main Transfom”,Indian Journal of Science & Techno-logy, vol.9, no. 38, pp.1-6, 2016. doi: https://dx.doi.org/10.17485/ijst/2016/v9i38/101937
M. Schmidt, Raspberry Pi.A Quick Start Guide, Dallas, Texas: The Pragmatic Bookshelf, 2012, pp. 11-42.
XBee-pro rf Module. Digi Int. Inc., Hopkins, mn, usa. [Online]. Available: http://www.digi.com
M. Guan and M. Gu, “Design and implementation of an embedded web server based on arm”, ieee In-ternational Conference on Software Engineering and Service Sciences (icsess), vol. 16, no. 18, 2010. doi: https://dx.doi.org/10.1109/ICINDMA.2010.5538305
ieee Standard for Information Technology-Telecom-munications andInformation Exchange between Sys-tems-Local and Metropolitan AreaNetworks, ieee Standard 802.15.4-2003, (2003). doi: https://dx.doi.org/10.1109/IEEESTD.2003.94389
Rhydo Technologies, “sim900 gsm/gprs rS232 Mo-dem – UserManual”, (Dec, 2011).
