Abstract
This research paper presents a smart approach for design and implementation of a wearable system that is able to monitor the electrical activity of the heart of a person using a smartphone. The real-time ECG monitoring system is implemented using a FPGA IC, a smartphone, and a front-end amplifier circuit for amplifying the ECG signal, and other component includes a capacitor, comparator, and a register. A USB link of PHY/LINK 1.1 and delta modulator is implemented in the digital circuit block of the FPGA IC. The digital block for the delta modulator consist of a sinc filter, a sampler basically a D flip-flop, and a FIR filter. Clock frequency at which sampler works is 6 MHz, delta modulator takes the input voltage in the 0.25–1.25 V @ up to 1.75 kHz frequencies, and it generates a corresponding 8-bit code @ 23.5 kS/s. The FPGA IC and all other circuits are powered by a smartphone through a micro USB link and provide a power supply of DC 5 V. In our system, we have used the screen of the smartphone as a display device and the captured ECG is displayed on the smartphone. For the calculation of the heart rate of the captured ECG signal, we used the smartphone and the result with waveform is stored in the memory of smartphone.
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Acknowledgements
The authors would like to graciously acknowledge the financial assistance provided by the Department of Biotechnology, Govt. of India vide the grant reference number BT/PR15673/NER/95/22/2015 dated 09.12.2016 to the Department and the University.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the Institutional Ethics Committee (IEC) of the North Eastern Hill University Shillong-793022 and North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Tripathi, R.P., Tiwari, A., Mishra, G.R., Bhatia, D. (2019). Design and Implementation of a Wearable Real-Time ECG Monitoring System Based on Smartphone. In: Ray, K., Sharan, S., Rawat, S., Jain, S., Srivastava, S., Bandyopadhyay, A. (eds) Engineering Vibration, Communication and Information Processing. Lecture Notes in Electrical Engineering, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-13-1642-5_44
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DOI: https://doi.org/10.1007/978-981-13-1642-5_44
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