Statistical performance evaluation of ECG transmission using wireless networks

Walid Shakhatreh; Khaled Gharaibeh; Awad Al-Zaben

doi:10.3109/03091902.2013.796012

Statistical performance evaluation of ECG transmission using wireless networks

Walid Shakhatreh, Khaled Gharaibeh, Awad Al-Zaben

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper presents simulation of the transmission of biomedical signals (using ECG signal as an example) over wireless networks. Investigation of the effect of channel impairments including SNR, pathloss exponent, path delay and network impairments such as packet loss probability; on the diagnosability of the received ECG signal are presented. The ECG signal is transmitted through a wireless network system composed of two communication protocols; an 802.15.4-ZigBee protocol and an 802.11b protocol. The performance of the transmission is evaluated using higher order statistics parameters such as kurtosis and Negative Entropy in addition to the common techniques such as the PRD, RMS and Cross Correlation.

Original language	English
Pages (from-to)	348-354
Number of pages	7
Journal	Journal of Medical Engineering and Technology
Volume	37
Issue number	5
DOIs	https://doi.org/10.3109/03091902.2013.796012
Publication status	Published - Jul 2013
Externally published	Yes

Keywords

ECG
PRD
Wireless networks
ZigBee

ASJC Scopus subject areas

Biomedical Engineering

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10.3109/03091902.2013.796012

Cite this

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AB - This paper presents simulation of the transmission of biomedical signals (using ECG signal as an example) over wireless networks. Investigation of the effect of channel impairments including SNR, pathloss exponent, path delay and network impairments such as packet loss probability; on the diagnosability of the received ECG signal are presented. The ECG signal is transmitted through a wireless network system composed of two communication protocols; an 802.15.4-ZigBee protocol and an 802.11b protocol. The performance of the transmission is evaluated using higher order statistics parameters such as kurtosis and Negative Entropy in addition to the common techniques such as the PRD, RMS and Cross Correlation.

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KW - PRD

KW - Wireless networks

KW - ZigBee

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Statistical performance evaluation of ECG transmission using wireless networks

Abstract

Keywords

ASJC Scopus subject areas

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