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
Link To Document :
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