Driver’s ECG Signal Detection and Transmission by Impulse-Radio-Based Human Body Communication Technology

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2016, Vol 2, Issue 7

Abstract

In this study, we developed a wearable electrocardiogram (ECG) sensor with human body communication (HBC) tech- nology for vital data transmission in a car. The ECG signals were modulated with wideband pulse signals between 10 and 60 MHz based on an impulse radio (IR) scheme, which provides a data rate as high as 1.25 Mbps. To apply the HBC-based wearable ECG in a moving car, we employed a moving average algorithm to reduce the noises produced in the received ECG signals due to the car's movement. As a result, we conrmed a real-time ECG transmission of driver in the moving car with a reasonable accuracy.

Authors and Affiliations

Jianqing Wang, Taku Kato, Daisuke Anzai

Keywords

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  • EP ID EP46485
  • DOI http://dx.doi.org/10.4108/eai.28-9-2015.2261526
  • Views 319
  • Downloads 0

How To Cite

Jianqing Wang, Taku Kato, Daisuke Anzai (2016). Driver’s ECG Signal Detection and Transmission by Impulse-Radio-Based Human Body Communication Technology. EAI Endorsed Transactions on Internet of Things, 2(7), -. https://europub.co.uk/articles/-A-46485