IoT 16(7): e4

Research Article

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

Download525 downloads
  • @ARTICLE{10.4108/eai.28-9-2015.2261526,
        author={Jianqing Wang and Taku Kato and Daisuke Anzai},
        title={Driver’s ECG Signal Detection and Transmission by Impulse-Radio-Based Human Body Communication Technology},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={2},
        number={7},
        publisher={ACM},
        journal_a={IOT},
        year={2015},
        month={12},
        keywords={human body communication, impulse radio transceiver, electrocardiogram},
        doi={10.4108/eai.28-9-2015.2261526}
    }
    
  • Jianqing Wang
    Taku Kato
    Daisuke Anzai
    Year: 2015
    Driver’s ECG Signal Detection and Transmission by Impulse-Radio-Based Human Body Communication Technology
    IOT
    EAI
    DOI: 10.4108/eai.28-9-2015.2261526
Jianqing Wang1,*, Taku Kato1, Daisuke Anzai1
  • 1: Nagoya Institute of Technology
*Contact email: wang@nitech.ac.jp

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.