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A Methodology for Improving Efficiency in Data Transmission in Healthcare Systems

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Internet of Things for Healthcare Technologies

Part of the book series: Studies in Big Data ((SBD,volume 73))

Abstract

Given the numerous technological advances in communication reaching the health sector, the accelerated growth of telemedicine can be observed. This medical practice can be defined by the use of telecommunication means to provide care, health promotion, treatment, information exchange between doctors and researchers, and also for various health research. However, there are still many methodologies that present a large consumption of computational memory as well as slowness in sending medical data. And with that focus, the present research aims to implement discrete event modeling, called CBEDE (Coding of Bits for Entities by Discrete Events) to improve the transmission of medical data by specifying the wide spectrum of health-related themes. The modeling was performed using the MATLAB Simulink environment, where AWGN communication channel models with DQPSK (Differential Quadrature Phase Shift Keying) modulation were developed and analyzed in relation to information consumption medical data in MB (megabytes). The proposal directs a different approach with respect to signal transmission, employing in the discrete domain the effect of discrete entities’ technique in the bit generation step, aiming to increase the information capacity transmission in healthcare systems, showing better memory consumption utilization regards improvement of 95.86%. Since diagnostic health interaction offered by e-health enables digital solutions for faster and better-quality health care, enabling the optimization of healthcare services, generating greater interaction between physician and patient, as well as all agents in system health care, where CBEDE methodology may enable faster and more efficient scheduling of consultations, transmission devices monitoring data from patients, presenting great potential for the transmission of medical data.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering (FEEC), University of Campinas—UNICAMP, Av. Albert Einstein—400, Barão Geraldo, Campinas, SP, Brazil

    Reinaldo Padilha França, Yuzo Iano, Ana Carolina Borges Monteiro & Rangel Arthur

Authors
  1. Reinaldo Padilha França
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  2. Yuzo Iano
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  3. Ana Carolina Borges Monteiro
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  4. Rangel Arthur
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Corresponding author

Correspondence to Reinaldo Padilha França .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, India

    Chinmay Chakraborty

  2. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Amit Banerjee

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, India

    Maheshkumar H. Kolekar

  4. Department of Computer Information Systems, Faculty of Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  5. Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Japan

    Basabi Chakraborty

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França, R.P., Iano, Y., Monteiro, A.C.B., Arthur, R. (2021). A Methodology for Improving Efficiency in Data Transmission in Healthcare Systems. In: Chakraborty, C., Banerjee, A., Kolekar, M., Garg, L., Chakraborty, B. (eds) Internet of Things for Healthcare Technologies. Studies in Big Data, vol 73. Springer, Singapore. https://doi.org/10.1007/978-981-15-4112-4_3

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