Assessing Existing Telemetry Systems for Risk of Electromagnetic Interference

Sherman, Paul S.; Campbell, Caroline

doi:10.1097/00004669-200126020-00013

Cited by 7 publications

(5 citation statements)

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“…While the introduction of the WMTS bands has eliminated the problem of competing with an in-band high definition television station, it did not inherently resolve the interference issues primarily because unintentional electromagnetic interference still exists in the dedicated WMTS bands [21,25]…”

Section: Selection Of the Operating Band: Wmts Bands Or Ism Bands?mentioning

confidence: 99%

“…Data packets from a device are sent to the corresponding AP as a stream with a constant rate, which is general in telemetry applications [17,19]. It is assumed that self-interference among APs for the medical network is insignificant, which is realistic because medical networks are planned and deployed on a site-specific basis [21,25]. (Self-interference among the same kind of networks is an important issue in Bluetooth because Bluetooth piconets are typically deployed without planning [28,31].…”

Section: Network Modelmentioning

confidence: 99%

“…For successful migration to wireless technologies from wires in healthcare applications, we need to resolve several challenging issues. Most of all, how to guarantee the required reliability level of medical applications by wireless connections is a critical one [21][22][23][24]. The main design goal of general wireless networks has been to improve network performance such as the average throughput.…”

Section: Introductionmentioning

confidence: 99%

“…Examples of unintentional interference sources are power lines, electrical motors, equipment power supplies as well as lightning strikes and electrostatic discharge[21]. Another shortcoming of the WMTS bands is its small bandwidth.…”

mentioning

confidence: 99%

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Design of robust adaptive frequency hopping for wireless medical telemetry systems

Park

Schmitz

et al. 2010

IET Commun.

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The authors propose an adaptive frequency hopping (AFH) algorithm, entitled robust adaptive frequency hopping (RAFH), for providing increased reliability of a wireless medical telemetry system (WMTS) under coexistence environment with non-medical devices. The conventional AFH scheme classifies channels into 'good' or 'bad' according to the threshold-based on-off decision by packet error rate (PER) measurement, and only uses good channels with a uniform hop probability. Unlike the conventional AFH scheme, RAFH is a novel technique, which solves a constrained entropy maximisation problem and assigns every channel a different hop probability as a decreasing function of the measured PER. The key novelty of RAFH over existing AFH schemes is that it reflects the relative channel condition by assigning non-uniform hop probabilities. By adopting constrained entropy maximisation, RAFH not only improves the average PER, but also reduces the PER fluctuation over time under a dynamic interference environment, both of which increase the reliability of WMTS. Through extensive simulation, we show that RAFH outperforms basic frequency hopping (FH) and the conventional AFH with respect to the PER under various scenarios of dynamic interference.

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Section: Selection Of the Operating Band: Wmts Bands Or Ism Bands?mentioning

confidence: 99%

Section: Network Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Design of robust adaptive frequency hopping for wireless medical telemetry systems

Park

Schmitz

et al. 2010

IET Commun.

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“…Hence, for successful deployment of wireless technologies in healthcare applications, how to guarantee the required reliability of medical applications by wireless connection is a main challenge [3,24,25,28]. The IT industry is currently marketing IEEE 802.11 wireless LAN as a promising solution for wireless medical networks [13].…”

Section: Introductionmentioning

confidence: 99%

IEEE 802.11 WLAN for medical-grade QoS

Park

Shrestha

et al. 2009

Proceedings of the 1st ACM International Workshop on Medical-Grade Wireless Networks

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In this paper, we study the problem of how to design a medicalgrade wireless LAN for healthcare facilities. Unlike IEEE 802.11e MAC, which categorizes traffic primarily by delay constraint, we prioritize medical applications into access categories according to medical criticality. We design a fully-distributed contention control mechanism that can efficiently utilize wireless channel for improving medical-grade QoS. We further derive a sufficient condition for the convergence of the proposed algorithm. Our simulation result shows that our medical access categorization and the contention control mechanism significantly improve the performance of a medical network over the conventional IEEE 802.11e MAC.

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Wireless Medical Telemetry: Addressing the Interference Issue and the New Wireless Medical Telemetry Service (WMTS)

Witters

Campbell

2004

Clinical Engineering Handbook

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Assessing Existing Telemetry Systems for Risk of Electromagnetic Interference

Cited by 7 publications

References 0 publications

Design of robust adaptive frequency hopping for wireless medical telemetry systems

Design of robust adaptive frequency hopping for wireless medical telemetry systems

IEEE 802.11 WLAN for medical-grade QoS

Wireless Medical Telemetry: Addressing the Interference Issue and the New Wireless Medical Telemetry Service (WMTS)

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