• DocumentCode
    1768981
  • Title

    Feasibility study on ECG data transmission over voice for patient telemonitoring system

  • Author

    Setiawan, Hendra ; Sahroni, Alvin ; Marfianti, Erlina

  • Author_Institution
    Electr. Eng. Dept., Univ. Islam Indonesia, Yogyakarta, Indonesia
  • fYear
    2014
  • fDate
    7-8 Nov. 2014
  • Firstpage
    53
  • Lastpage
    57
  • Abstract
    In this paper we present some schemes for transmitting electrocardiography (ECG) and voice signals simultaneously using a voice channel with some limitations of telephony system. A blind signal separation method and a beamforming algorithm concepts are reviewed first. However, they face some difficulties when implemented in the telephony system. Thus, we propose a separation system based on filtering concept with low computational complexity. Based on simulation result, the proposed system has successfully separated the voice and the ECG signals. The correlation indexes between the separation signals and the original ones are 0.99 and 0.87 for voice and ECG respectively. The simulation with additional noise shows that the noise has a bigger effect to the voice compared with the ECG signal. From the complexity point of view, the proposed separation system requires 5 adders and 82 registers.
  • Keywords
    array signal processing; biomedical telemetry; blind source separation; computational complexity; correlation methods; electrocardiography; filters; medical signal processing; noise; patient monitoring; signal denoising; speech processing; telemedicine; telephony; ECG data transmission; ECG signal separation; beamforming algorithm; blind signal separation; computational complexity; electrocardiography transmission; noise effect; patient telemonitoring system; separation signal correlation index; signal filtering; signal separation system; simulation; telephony system limitation; voice channel; voice signal separation; voice signal transmission; Array signal processing; Delays; Electrocardiography; Indexes; Noise; Receivers; Telephony; beamforming; blind signal separation; electrocardiography (ECG); filter; separation signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
  • Conference_Location
    Hiroshima
  • ISSN
    1883-3977
  • Print_ISBN
    978-1-4799-4771-3
  • Type

    conf

  • DOI
    10.1109/IWCIA.2014.6988077
  • Filename
    6988077