Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT

Su Myat Thaung; Hla Myo Tun; Khin Kyu Kyu Win; Myint Myint Than

doi:doi:10.11648/j.com.20200801.11

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Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT

Su Myat Thaung, Hla Myo Tun, Khin Kyu Kyu Win, Myint Myint Than

Published in Communications (Volume 8, Issue 1)

Received: 11 November 2019 Accepted: 25 December 2019 Published: 7 January 2020

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Abstract

The system proposed in this article is to make Exploratory Data Analysis (EDA) of people’s health condition based on remote health care monitoring system in their different activities. Because of several critical physiological parameters of human body, multi body sensor health monitoring approach is vital. A health care monitoring system is displayed for detecting human physiological information. The system implementation consists of heart beat sensor, temperature sensor and pulse oxygen saturation level (SPO2) sensor. In this framework, gathered health information can be observed by utilizing both PC and cell phones. The real time result of the temperature sensor, heart beat sensor, SPO2 sensor to show on the ThingSpeak is tested. EDA analysis is done on measured data statistic to know the human activity for effective health care monitoring using IoT. The analyses are based on both theoretical approaches and experimental approaches according to the confirmation of recent research outcomes and real data from the hospital. The experimental studies have been carried out based on the idea of medical doctors in the hospital. The technology also confirms that the current research trends would be suitable for real world applications. The confirmation of medical doctors and suggestions on this research works were completed according to the standard of commercial products in the market.

Published in	Communications (Volume 8, Issue 1)
DOI	10.11648/j.com.20200801.11
Page(s)	1-8
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Internet of Things (IoT), EDA Analysis, Thing Speak, Body Sensor, Remote Health Care System

References

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[2]	G. Appelboom, E. Camacho and M. E. Abraham, “Smart Wearable Body Sensors for Patient Self-Assessment and Monitoring”, Arcives of Public Health, 2014.
[3]	S. Patel, H. Park and P. Bonato, “A Review of Wearable Sensors and Systems With Application in Rehabilitation”, Journal of Neuro Engineering and Rehabilitation, 2012.
[4]	F. sanfilippo and K. Y. Pettersen, “A Sensor Fusion Wearable Health-Monitoring System with Haptic Feedback”, Aslesund University College, Norway.
[5]	M. Swamynathan,”Mastering Machine Learning with Python in Six Steps”, Bangalore, Karnataka, India, 2017.
[6]	V. Meciak, M. Blaho, L. Mrafko and T. Mudrakova, “Sensor-Based Platform E-Health connection With Matlab”, Slovak University of Technology, Slovak Republic.
[7]	H. Shirzadfar, M. S Ghaziasgar, Z. Piri and M. Khanahamadi, “Heart Beat Rate Monitoring UsingOptical Sensors”, International Journal of Biosensors and Bioelectronics, vol. 4, issue 2, Iran, 2018.
[8]	N. R. Laddha and A. P. Thakare, “A Review on Serial Communication by UART”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, issue 1, India, 2013.
[9]	M. S. Zaghloul, “Modern Architecutre Tracking System Using Modern GPS Module”, International Journal of Scientific and Engineering Research, vol. 5, issue 2, 2014.
[10]	M. S. Zaghloul, “GSM-GPRS Arduino Shield (GS-001) with SIM 900 Chip Module in Wireless Data Transmission System for Data Acquisition and Control of Power Induction Furnace”, International Journal of Scientific and Engineering Research, vol. 5, issue 4, 2014.
[11]	V. Sharma and R. Tiwari, “A Review Paper on “IoT” and It’s Smart Applications”, International Journal of Scientific and Engineering Research, vol. 5, issue 2, 2016.
[12]	J. Gubbi, R. Buyya, S. Marusic and M. Palaniswami, “Internet of Thing (Iot): A Vision, Architectural Elements, and Future Directions”, The University of Melbourne, Australia.

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APA Style

Su Myat Thaung, Hla Myo Tun, Khin Kyu Kyu Win, Myint Myint Than. (2020). Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT. Communications, 8(1), 1-8. https://doi.org/10.11648/j.com.20200801.11

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ACS Style

Su Myat Thaung; Hla Myo Tun; Khin Kyu Kyu Win; Myint Myint Than. Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT. Communications. 2020, 8(1), 1-8. doi: 10.11648/j.com.20200801.11

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AMA Style

Su Myat Thaung, Hla Myo Tun, Khin Kyu Kyu Win, Myint Myint Than. Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT. Communications. 2020;8(1):1-8. doi: 10.11648/j.com.20200801.11

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@article{10.11648/j.com.20200801.11,
  author = {Su Myat Thaung and Hla Myo Tun and Khin Kyu Kyu Win and Myint Myint Than},
  title = {Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT},
  journal = {Communications},
  volume = {8},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.com.20200801.11},
  url = {https://doi.org/10.11648/j.com.20200801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20200801.11},
  abstract = {The system proposed in this article is to make Exploratory Data Analysis (EDA) of people’s health condition based on remote health care monitoring system in their different activities. Because of several critical physiological parameters of human body, multi body sensor health monitoring approach is vital. A health care monitoring system is displayed for detecting human physiological information. The system implementation consists of heart beat sensor, temperature sensor and pulse oxygen saturation level (SPO2) sensor. In this framework, gathered health information can be observed by utilizing both PC and cell phones. The real time result of the temperature sensor, heart beat sensor, SPO2 sensor to show on the ThingSpeak is tested. EDA analysis is done on measured data statistic to know the human activity for effective health care monitoring using IoT. The analyses are based on both theoretical approaches and experimental approaches according to the confirmation of recent research outcomes and real data from the hospital. The experimental studies have been carried out based on the idea of medical doctors in the hospital. The technology also confirms that the current research trends would be suitable for real world applications. The confirmation of medical doctors and suggestions on this research works were completed according to the standard of commercial products in the market.},
 year = {2020}
}

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TY - JOUR
T1 - Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT
AU - Su Myat Thaung
AU - Hla Myo Tun
AU - Khin Kyu Kyu Win
AU - Myint Myint Than
Y1 - 2020/01/07
PY - 2020
N1 - https://doi.org/10.11648/j.com.20200801.11
DO - 10.11648/j.com.20200801.11
T2 - Communications
JF - Communications
JO - Communications
SP - 1
EP - 8
PB - Science Publishing Group
SN - 2328-5923
UR - https://doi.org/10.11648/j.com.20200801.11
AB - The system proposed in this article is to make Exploratory Data Analysis (EDA) of people’s health condition based on remote health care monitoring system in their different activities. Because of several critical physiological parameters of human body, multi body sensor health monitoring approach is vital. A health care monitoring system is displayed for detecting human physiological information. The system implementation consists of heart beat sensor, temperature sensor and pulse oxygen saturation level (SPO2) sensor. In this framework, gathered health information can be observed by utilizing both PC and cell phones. The real time result of the temperature sensor, heart beat sensor, SPO2 sensor to show on the ThingSpeak is tested. EDA analysis is done on measured data statistic to know the human activity for effective health care monitoring using IoT. The analyses are based on both theoretical approaches and experimental approaches according to the confirmation of recent research outcomes and real data from the hospital. The experimental studies have been carried out based on the idea of medical doctors in the hospital. The technology also confirms that the current research trends would be suitable for real world applications. The confirmation of medical doctors and suggestions on this research works were completed according to the standard of commercial products in the market.
VL - 8
IS - 1
ER -

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Author Information

Su Myat Thaung

Department of Electronic Engineering, Yangon Technological University, Gyogone, Insein, Yangon Region, Republic of the Union of Myanmar
Hla Myo Tun

Department of Electronic Engineering, Yangon Technological University, Gyogone, Insein, Yangon Region, Republic of the Union of Myanmar
Khin Kyu Kyu Win

Department of Electronic Engineering, Yangon Technological University, Gyogone, Insein, Yangon Region, Republic of the Union of Myanmar
Myint Myint Than

Department of Electronic Engineering, Yangon Technological University, Gyogone, Insein, Yangon Region, Republic of the Union of Myanmar

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APA Style

Su Myat Thaung, Hla Myo Tun, Khin Kyu Kyu Win, Myint Myint Than. (2020). Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT. Communications, 8(1), 1-8. https://doi.org/10.11648/j.com.20200801.11

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ACS Style

Su Myat Thaung; Hla Myo Tun; Khin Kyu Kyu Win; Myint Myint Than. Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT. Communications. 2020, 8(1), 1-8. doi: 10.11648/j.com.20200801.11

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AMA Style

Su Myat Thaung, Hla Myo Tun, Khin Kyu Kyu Win, Myint Myint Than. Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT. Communications. 2020;8(1):1-8. doi: 10.11648/j.com.20200801.11

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@article{10.11648/j.com.20200801.11,
  author = {Su Myat Thaung and Hla Myo Tun and Khin Kyu Kyu Win and Myint Myint Than},
  title = {Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT},
  journal = {Communications},
  volume = {8},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.com.20200801.11},
  url = {https://doi.org/10.11648/j.com.20200801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20200801.11},
  abstract = {The system proposed in this article is to make Exploratory Data Analysis (EDA) of people’s health condition based on remote health care monitoring system in their different activities. Because of several critical physiological parameters of human body, multi body sensor health monitoring approach is vital. A health care monitoring system is displayed for detecting human physiological information. The system implementation consists of heart beat sensor, temperature sensor and pulse oxygen saturation level (SPO2) sensor. In this framework, gathered health information can be observed by utilizing both PC and cell phones. The real time result of the temperature sensor, heart beat sensor, SPO2 sensor to show on the ThingSpeak is tested. EDA analysis is done on measured data statistic to know the human activity for effective health care monitoring using IoT. The analyses are based on both theoretical approaches and experimental approaches according to the confirmation of recent research outcomes and real data from the hospital. The experimental studies have been carried out based on the idea of medical doctors in the hospital. The technology also confirms that the current research trends would be suitable for real world applications. The confirmation of medical doctors and suggestions on this research works were completed according to the standard of commercial products in the market.},
 year = {2020}
}

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