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Design of Arrhythmia Detection Device Based on Fingertip Pulse Sensor

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 365))

Abstract

Much research has been done to detect heart disease arrhythmias. Arrhythmia was usually diagnosed by a doctor based on a paper ECG (Electrocardiogram) or system that can classify arrhythmias based on ECG signals obtained from the doctor. The author aims to ensure that everyone can easily identify arrhythmias in case of abnormalities in the heart without having to see a doctor. In the present study the authors purpose to make the arrhythmia detector uses an optical sensor input. The method in this research is to process the input signal from the optical sensor, which then amplified by the signal conditioner, Arduino detect the inter-pulse period and save the eight periods for analysis using Arrhythmia Algorithm to define type arrhythmia. The hardware used consists of a photodiode and an infrared LED as heart rate detection, and signal conditioning board Arduino Uno as a processing of data. Design software in the system using the Arduino IDE based programming language C. The results of this study are success to calculate arrhythmia algorithm with percentage error to get period R-to-R are 0.25 % and precision get 99.947 %. Based on overall system testing for ten respondents result value of average precision was 77.25 %.

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Correspondence to R. Wahyu Kusuma .

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© 2016 Springer Science+Business Media Singapore

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Wahyu Kusuma, R., Al Aziz Abbie, R., Musa, P. (2016). Design of Arrhythmia Detection Device Based on Fingertip Pulse Sensor. In: Pasila, F., Tanoto, Y., Lim, R., Santoso, M., Pah, N. (eds) Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015). Lecture Notes in Electrical Engineering, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-287-988-2_39

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  • DOI: https://doi.org/10.1007/978-981-287-988-2_39

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-986-8

  • Online ISBN: 978-981-287-988-2

  • eBook Packages: EngineeringEngineering (R0)

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