Portable Heart Rate Detector Based on Photoplethysmography with Android Programmable Devices for Ubiquitous Health Monitoring System

Chi Kin Lao, U Kin Che, Wei Chen, Sio Hang Pun, Peng Un Mak, Feng Wan, Mang I Vai

Abstract


In this paper, a miniature portable heart rate detector system is implemented by modern hardware ICs and simple sensor circuit with software executable on both PC and Android platform. The biosignal is first extracted via photoplethysmography (PPG) principle into electric signal. Then a microprocessor is used to covert biosignal from analog to digital format, suitably for feeding into an RF module (nRF24L01 for RF transmission). On the receiver end, the computer and/or smart phone can analyze the data using a robust algorithm that can detect peaks of the PPG waveform, hence to calculating the heart rate. Some application software running on Windows and Android phone have been developed to display heart rate information and time domain waveform to users for health care monitoring. In the future, pure Bluetooth technology will be used for wireless personal communications instead of RF modules. At the same time, the data can be sent to computer console using existing available networks (3G, 4G, WiFi, etc.) for health database logging purpose.

Full Text:

PDF

References


P. Wei, et al., "A New Wristband Wearable Sensor Using Adaptive Reduction Filter to Reduce Motion Artifact," Proceedings of the 5th International Conference on Information Technology and Application in Biomedicine, in conjunction with The 2nd International Symposium & Summer School on Biomedical and Health Engineering Shenzhen, China, 2008.

K. I. Wong, "Design and Experimentation of Wearable Body Sensors," in Rapid Prototyping Technology - Principles and Functional Requirements, M. E. Hoque, Ed., ed: Intech, 2011, pp. 273-288.

World Health Organization, "Cardiovascular diseases (CVDs)," Fact sheet No. 317, Sep. 2012.

F. C. Chang, et al., "Variations of HRV Analysis in Different Approaches," Computers in Cardiology 2007, Vols 1 and 2, pp. 17-20, 2007.

J. Allen, "Photoplethysmography and its application in clinical physiogical measurement," Physiol. Meas.28(2007) R1–R39.

R. B. Northrop, "Ch.9: Plethysmography," in Non-invasive instrumentation and measurement in medical diagnosis, ed Boca Raton: CRC Press, 2002, p. 525.

Sokwoo Rhee, J, “Finger Photoplethysmographic Sensors for Vital Sign Monitoring,” PhD dissertation, Massachusetts Institute of Technology, May 2000.

M. Nitzan, A. Babchenko and B. Khanokh, “Very low frequency variability in arterial blood pressure and blood volume pulse,” Med. Biol. Eng. Comput. Vol. 37, No. 1, pp. 54-58, 1999.

www.nordicsemi.com/eng/Products/2.4GHz-RF/nRF24L01 Last accessed on Feb. 2012

http://www.fortus.com/products/fortus-400mc.aspx Last accessed on Feb. 2012

Hang Sik Shin, et al., “Adaptive threshold method for the peak detection of photoplethysmographic waveform,” Computers in Biology and Medicine 39 (2009), pp. 1145-1152.

Chen Wei, et al., “Study on conditioning and feature extraction algorithm of photoplethysmography signal for physiological parameters detection,” 2011 4th International Congress on Image and Signal Processing, vol., pp. 2194-2197.

Bistra Nenova, Ivo Iliev, “An Automated Algorithm for Fast Pulse Wave Detection,” International Journal Bioantomation, 2010, 14(3), pp. 203-216.

S. Lu, et al., “Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information?”, J. Clin. Monit. Comput. Vol. 22(1) 2008, pp.23–29

Akash Kumar Bhoi, Swarup Sarkar, et al., “Pre-processing of PPG Signal with Performance based Methods,” International Journal of Computer Application, issue 2, vol. 4 (Aug. 2012), pp. 251-256.

Ivo Tsvetanov Iliev, et al., “Combined High-pass and Power-line Interference Rejecter Filter for ECG Signal Processing,” Proceedings of the Technical University – Sofia, Bugaria, 58(2), pp. 7-13.

Smith S. W. (1999). The Scientist and Engineer’s Guide to Digital Signal Processing, California Technical Publishing, San Diego, CA, 2nd Edition.




DOI: http://dx.doi.org/10.11601/ijates.v2i1.22

Refbacks

  • There are currently no refbacks.