A PC Based Cost Effective Advanced Cardio Signals Monitoring System

Anamika Bose; Saleh Ebn Sharif; Akanksha Sinha

doi:doi:10.11648/j.bsi.20170204.14

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A PC Based Cost Effective Advanced Cardio Signals Monitoring System

Anamika Bose, Saleh Ebn Sharif, Akanksha Sinha

Published in Biomedical Statistics and Informatics (Volume 2, Issue 4)

Received: 12 August 2017 Accepted: 30 August 2017 Published: 23 September 2017

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Abstract

In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. In this project, Lead-2 is implemented in hardware together with computer interfacing. Twelve leads machine can be made simply using the same circuit twelve times for each lead or time division multiplexing with corresponding increase in complicacy. The electrical signal obtained and processed from circuit was fed to sound card of the computer through audio port and then, signals were shown using built-in virtual oscilloscope of MATLAB named soft scope. The detailed circuit development, noise reduction, filtering and installation, as well as the results, are presented.

Published in	Biomedical Statistics and Informatics (Volume 2, Issue 4)
DOI	10.11648/j.bsi.20170204.14
Page(s)	150-161
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), 2017. Published by Science Publishing Group

Keywords

Electrocardiography, Biomedical Monitoring, Heart Rate, ECG, Virtual Oscilloscope, Interfacing

References

[1]	Cromwell, Leslie, Fred J. Weibell, and Erich A. Pfeiffer. Biomedical instrumentation and measurements. Prentice Hall, 1980.
[2]	Webster, John G. "Medical Instrumentation-Application and Design." Journal of Clinical Engineering 3, no. 3 (1978): 306.
[3]	Khandpur, Raghbir Singh. Handbook of biomedical instrumentation. Tata McGraw-Hill Education, 1992.
[4]	Carr, Joseph J., and John Michael Brown. Introduction to biomedical equipment technology. Prentice Hall, 1993.
[5]	Clifford, Gari D. "Advanced methods and tools for ECG data analysis." (2009).
[6]	Acharya, Rajendra, Shankar M. Krishnan, Jos AE Spaan, and Jasjit S. Suri, eds. Advances in cardiac signal processing. Berlin: Springer, 2007.
[7]	Clifford, Gari D. "Signal processing methods for heart rate variability." PhD diss., University of Oxford, 2002.
[8]	Hu Y. H. Shen T. W., Tompkins W. J.,―One-lead ecg for identity verification,‖ Proc. IEEE EMBS/BMES Conf,, pp. 62–63, 2002.
[9]	Abilashini, N., et al. "ECG Signals for Personal Identity Verification." (2014).
[10]	A. R. Houghton and D. Gray. “making sense of the ECG”., Hodder Arnold Publishing.m 2003.
[11]	Online Article Available at: http://www.eng.utah.edu/~jnguyen/ecg/ecg_index.html
[12]	Yagoub, K. M. S., Mohammed, M. R., & Ali, T. M. M. (2016). Microcontroller Based ECG Arrhythmia Biosimulator for Testing ECG Machines (Doctoral dissertation, Sudan University of Science and Technology).
[13]	Jemilehin, Tosin, and Michael Adu. "Design and Simulation of Electrocardiogram Circuit with Automatic Analysis of ECG Signal." Analele Universitatii'Eftimie Murgu' 23. 1 (2016).

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APA Style

Anamika Bose, Saleh Ebn Sharif, Akanksha Sinha. (2017). A PC Based Cost Effective Advanced Cardio Signals Monitoring System. Biomedical Statistics and Informatics, 2(4), 150-161. https://doi.org/10.11648/j.bsi.20170204.14

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ACS Style

Anamika Bose; Saleh Ebn Sharif; Akanksha Sinha. A PC Based Cost Effective Advanced Cardio Signals Monitoring System. Biomed. Stat. Inform. 2017, 2(4), 150-161. doi: 10.11648/j.bsi.20170204.14

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AMA Style

Anamika Bose, Saleh Ebn Sharif, Akanksha Sinha. A PC Based Cost Effective Advanced Cardio Signals Monitoring System. Biomed Stat Inform. 2017;2(4):150-161. doi: 10.11648/j.bsi.20170204.14

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@article{10.11648/j.bsi.20170204.14,
  author = {Anamika Bose and Saleh Ebn Sharif and Akanksha Sinha},
  title = {A PC Based Cost Effective Advanced Cardio Signals Monitoring System},
  journal = {Biomedical Statistics and Informatics},
  volume = {2},
  number = {4},
  pages = {150-161},
  doi = {10.11648/j.bsi.20170204.14},
  url = {https://doi.org/10.11648/j.bsi.20170204.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20170204.14},
  abstract = {In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. In this project, Lead-2 is implemented in hardware together with computer interfacing. Twelve leads machine can be made simply using the same circuit twelve times for each lead or time division multiplexing with corresponding increase in complicacy. The electrical signal obtained and processed from circuit was fed to sound card of the computer through audio port and then, signals were shown using built-in virtual oscilloscope of MATLAB named soft scope. The detailed circuit development, noise reduction, filtering and installation, as well as the results, are presented.},
 year = {2017}
}

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TY  - JOUR
T1  - A PC Based Cost Effective Advanced Cardio Signals Monitoring System
AU  - Anamika Bose
AU  - Saleh Ebn Sharif
AU  - Akanksha Sinha
Y1  - 2017/09/23
PY  - 2017
N1  - https://doi.org/10.11648/j.bsi.20170204.14
DO  - 10.11648/j.bsi.20170204.14
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 150
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PB  - Science Publishing Group
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UR  - https://doi.org/10.11648/j.bsi.20170204.14
AB  - In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. In this project, Lead-2 is implemented in hardware together with computer interfacing. Twelve leads machine can be made simply using the same circuit twelve times for each lead or time division multiplexing with corresponding increase in complicacy. The electrical signal obtained and processed from circuit was fed to sound card of the computer through audio port and then, signals were shown using built-in virtual oscilloscope of MATLAB named soft scope. The detailed circuit development, noise reduction, filtering and installation, as well as the results, are presented.
VL  - 2
IS  - 4
ER  -

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Author Information

Anamika Bose

Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
Saleh Ebn Sharif

Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
Akanksha Sinha

Department of Bio-informatics, West Bengal University of Technology, Calcutta, India

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APA Style

Anamika Bose, Saleh Ebn Sharif, Akanksha Sinha. (2017). A PC Based Cost Effective Advanced Cardio Signals Monitoring System. Biomedical Statistics and Informatics, 2(4), 150-161. https://doi.org/10.11648/j.bsi.20170204.14

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ACS Style

Anamika Bose; Saleh Ebn Sharif; Akanksha Sinha. A PC Based Cost Effective Advanced Cardio Signals Monitoring System. Biomed. Stat. Inform. 2017, 2(4), 150-161. doi: 10.11648/j.bsi.20170204.14

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AMA Style

Anamika Bose, Saleh Ebn Sharif, Akanksha Sinha. A PC Based Cost Effective Advanced Cardio Signals Monitoring System. Biomed Stat Inform. 2017;2(4):150-161. doi: 10.11648/j.bsi.20170204.14

Copy | Download

@article{10.11648/j.bsi.20170204.14,
  author = {Anamika Bose and Saleh Ebn Sharif and Akanksha Sinha},
  title = {A PC Based Cost Effective Advanced Cardio Signals Monitoring System},
  journal = {Biomedical Statistics and Informatics},
  volume = {2},
  number = {4},
  pages = {150-161},
  doi = {10.11648/j.bsi.20170204.14},
  url = {https://doi.org/10.11648/j.bsi.20170204.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20170204.14},
  abstract = {In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. In this project, Lead-2 is implemented in hardware together with computer interfacing. Twelve leads machine can be made simply using the same circuit twelve times for each lead or time division multiplexing with corresponding increase in complicacy. The electrical signal obtained and processed from circuit was fed to sound card of the computer through audio port and then, signals were shown using built-in virtual oscilloscope of MATLAB named soft scope. The detailed circuit development, noise reduction, filtering and installation, as well as the results, are presented.},
 year = {2017}
}

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TY  - JOUR
T1  - A PC Based Cost Effective Advanced Cardio Signals Monitoring System
AU  - Anamika Bose
AU  - Saleh Ebn Sharif
AU  - Akanksha Sinha
Y1  - 2017/09/23
PY  - 2017
N1  - https://doi.org/10.11648/j.bsi.20170204.14
DO  - 10.11648/j.bsi.20170204.14
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 150
EP  - 161
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20170204.14
AB  - In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. In this project, Lead-2 is implemented in hardware together with computer interfacing. Twelve leads machine can be made simply using the same circuit twelve times for each lead or time division multiplexing with corresponding increase in complicacy. The electrical signal obtained and processed from circuit was fed to sound card of the computer through audio port and then, signals were shown using built-in virtual oscilloscope of MATLAB named soft scope. The detailed circuit development, noise reduction, filtering and installation, as well as the results, are presented.
VL  - 2
IS  - 4
ER  -

Copy | Download