skip to main content
10.1145/3326172.3326191acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbetConference Proceedingsconference-collections
research-article

Photoplethysmography Circuit Design for Peak-to-Peak Voltage Monitoring via Arduino Uno with Moving Average Filter

Authors Info & Claims
Published:28 March 2019Publication History

ABSTRACT

This paper presents a circuit design which can capture photoplethysmography signal and estimate its peak-to-peak voltage reading with the aid of an Arduino microcontroller. Photoplethysmography is a non-invasive optical technique used to detect blood volume changes in the microvascular bed of tissue. With this technique, common health-related factors like heart rate reading, blood pressure reading, and blood glucose level can be measured. The proposed circuit design uses a CNY70 reflectance photoplethysmography sensor and an SEN-09673 force sensitive resistor to determine the force applied on the finger strap that can be worn on any of the proximal phalanges of the user. An algorithm referred to as Moving Average Filter is applied to estimate the photoplethysmography signal in terms of peak-to-peak voltage.

References

  1. T. Tamura, et. al.,"Wearable Photoplethysmographic Sensors---Past and Present", pp. 283--296, 2014Google ScholarGoogle Scholar
  2. International Diabetes Federation, "Diabetes in the Philippines-2015", 2015Google ScholarGoogle Scholar
  3. D. Spero, "Diabetes Self-Management", What is a normal blood sugar level, 2016Google ScholarGoogle Scholar
  4. Massachusetts Institute of Technology School of Engineering, "Ask an Engineering: How Do Glucometers Work?", 2011Google ScholarGoogle Scholar
  5. J. Hopkins, "Methods for Insulin Delivery and Glucose Monitoring: Comparative Effectiveness", pp. 4/ES1-2Google ScholarGoogle Scholar
  6. J.Lu, "Comparable Efficacy of Self-monitoring of Quantitative Urine Glucose with Self-monitoring of Blood Glucose on Glycaemic Control in Non-insulin-treated Type 2 Diabetes", p. 180Google ScholarGoogle Scholar
  7. "A classification-based fault detection method for Continuous glucose monitoring, Guangjian Song", IEEE International Conference on Intelligent Control and Automation (WCICA), pp.956, June 2016Google ScholarGoogle Scholar
  8. C.O. Manlises, J.C. Dela Cruz, J.C. Fausto, L. M. Muralla, D.M. Payas, M.J. Posada, "Monitoring of Blood Pressure Using Photoplethysmographic (PPG) Sensor with Aromatherapy Diffusion," IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Mapua Institute of Technology, 2016Google ScholarGoogle Scholar
  9. F. L. Ubels, "Diabetologia", vol. 44, issue 4, pp. 429--432, 2001(PPG) Sensor with Aromatherapy Diffusion," IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Mapua Institute of Technology, 2016Google ScholarGoogle Scholar
  10. B. Paul, M.P. Manual and Z.C. Alex, "Design and Development of Non \invasive Glucose Measurement System", IEEE Physics and Technology of Sensors (ISPTS), 2012 1st International Symposium, Pune, India, 7-10 March 2012, pp. 43--46, 2012Google ScholarGoogle ScholarCross RefCross Ref
  11. C.J. Pujary, "Measurement Site and Photodetector Size Considerations in Optimizating Power Consumption of a Wearable Reflectance Pulse Oximeter", IEEE Proceedings of the 25th Annual International Conference, Engineering in Medicine and Biology Society, 2003Google ScholarGoogle Scholar
  12. J.G. Webster, "Medical instrumentation, application and design", Photoplethysmography (PPG) system Geert Langereis, 2nd edition, 2010sGoogle ScholarGoogle Scholar
  13. J. Spigulis, "Wireless Photoplethysmography Finger Sensor Probe", IEEE 12th Biennial Baltic Electronics Confference, 2010Google ScholarGoogle Scholar

Index Terms

  1. Photoplethysmography Circuit Design for Peak-to-Peak Voltage Monitoring via Arduino Uno with Moving Average Filter

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICBET '19: Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology
      March 2019
      327 pages
      ISBN:9781450361309
      DOI:10.1145/3326172

      Copyright © 2019 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 March 2019

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader