OBTAINING THE PHYSIOLOGICAL DATA USING THE PHOTOPLETHYSMOGRAPHIC METHOD

Krasimir Cheshmedzhiev, Galya Georgieva-Tsaneva

Abstract


The activity of the cardiovascular system is very important for the overall health of a human being. The Photoplethysmographic method is an effective tool of assessing the activity of the heart. The method is based on recording changes in blood volume in the blood vessels of the individual. The report presents a non-invasive way to obtain physiological data using a created device based on the Photoplethysmographic method. The created device consists of a photodetector, infrared light-emitting diodes, and small pulse rate sensors. The proposed portable device has been tested with three types of interfaces. The received data from the Photoplethysmographic device is transmitted to a personal computer and stored for further processing.

Keywords


Photoplethysmography, heard rate decoder, pulse transit time, portable device, pulse rate sensors.

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References


Akhter N., S. Tharewal, H. Gite, K. Kale, (2015) Microcontroller Based RR-Interval Measurement Using PPG Signals for Heart Rate Variability based Biometric Application, International Symposium on Emerging Topics in Circuits and Systems (SET-CAS'15).

Allen J., (2007) Photoplethysmography and its application in clinical physiological measurement, Physiological measurement, Vol. 28, № 3, pp. R1.

Tamura T., Y. Maeda, M. Sekine and M. Yoshida, (2014) Wearable photoplethysmographic sensors - past and present, Electronics, № 2, pp. 282-302.

Webster J., (2009) Medical instrumentation: application and design, John Wiley & Sons.

Yoon Y., J. Cho and G. Yoon, Nonconstrained blood pressure monitoring using ECG and PPG for personal healthcare, Journal of medical systems, Vol. 33, № 4, pp. 261-266, 2009.

Nenova B. and I. Iliev, (2010) An automated algorithm for fast pulse wave detection, Bioautomation, Vol. 3, № 14, pp. 203-216, Retrieved from https://www.researchgate.net/publication/49591899_An_Automated_Algorithm_for_Fast_Pulse_Wave_Detection

Nenova-Baylova B., (2011) Determination of Cardiac Activity in Extreme Situations, Autoreferate (in Bulgarian).

Nikolova R., (2008) The Time to Distribute the Pulse Wave - a Method for the Study of the Functional Status of the Cardiovascular System, Bulgarian Medical Journal, Vol. 2, № 1, pp. 9-13, (in Bulgarian).

Iliev I., (2011) Methods, Devices and Systems for Telemetric Monitoring of High Risk Patients with Cardiovascular Diseases, Autoreferate, (in Bulgarian).

Anderson R. R. and J. A. Parrish, (1981) „The optics of human skin”, Journal of investigative dermatology, pp. 13-19.

Mainsah B.and T. Wester, (2007) Design of a Dual Heart Rate Variability Monitor, Worcester polytechnic institute,.

Kim Y.and Lee J., „Cuffless and noninvasive estimation of a continuous blood pressure based on PTT,“ Information Technology Convergence and Services (ITCS), 2010 2nd International Conference on, IEEE, 2010.

http://www.medtronic.com/content/dam/covidien/library/global/multi/product/pulseoximetry/DS100A_Manual_Multi_10051344C 00.pdf

SAM4S ARM Cortex-M4 Microcontrollers, http://www.atmel.com/products/microcontroll ers/arm/sam4s.aspx.

Nutt G., NuttX operating system user’s manual, www.nuttx.org.

Maxim, Pulse Oximeter and Heart-Rate Sensor IC for Wearable Health, https://www.maximintegrated.com/en/products/ analog/sensors-and-sensorinterface/MAX30100.htm.




DOI: http://dx.doi.org/10.12955/cbup.v6.1265

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