A wireless network sensor and server architecture for legacy medical devices

Frehill, P.; Chambers, Desmond; Rotariu, Cristian

doi:10.1109/ictel.2008.4652609

Cited by 1 publication

(1 citation statement)

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“…Zigbee's suitability has already been established by others as a reliable platform for the transmission of ECG data (Lin et al, 2006). It has also been shown (Frehill, 2008) how Zigbee meets our requirements with respect to bandwidth, scalability and redundancy when handling real-time ECG data. Zigbee is based on the IEEE 802.15.4 standard (IEEE 802.15.4).…”

Section: Zigbeementioning

confidence: 97%

Ecg Classification and Analysis in a Zigbee Wireless Sensor Network

Barrett

Chambers²,

Rotariu³

2009

Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

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Wireless technology has become ubiquitous in our daily lives. From 802.11 to Bluetooth we have become familiar with new technologies and expectations are rife as to its potential. The medical world is potentially lucrative for the use of such technology. The ability to improve patient comfort, monitor patients remotely and increase device mobility should all contribute handsomely to patient life quality. It also offers the unique opportunity to monitor ambulatory patients in a real-time environment. Outlined is an approach to integrate an Electrocardiogram (ECG) classifier into an overall wireless patient monitoring system enabling real-time classification and analysis of ECG data. Our research has shown that it is possible to use the open source classifier (Hamilton, 2002) in a wireless sensor network for beat detection and arrhythmia classification. We have tested the classifier with up to 80 simulated sensors proving that its lightweight implementation enables it to cope perfectly with only minor modifications needed. It was found that the addition of multiples of sensors produced on average 0.01% performance degradation.

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Section: Zigbeementioning

confidence: 97%