Measurement and Modelling of an UWB Channel at Hospital

Hentilä, Lassi; Taparungssanagorn, A.; Viittala, Harri; Hämäläinen, Matti

doi:10.1109/icu.2005.1569968

Cited by 20 publications

(11 citation statements)

References 10 publications

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“…Measurements from 3.1 to 6.0GHz have been carried out at the Oulu university hospital for ultra wideband applications [1]. However, most of the current commercialized low power wireless systems are still operating at the industrial, scientific and medical (ISM) 2.4 GHz band, e.g.…”

Section: Introductionmentioning

confidence: 99%

Indoor Channel Measurements and Models at 2.4 GHz in a Hospital

Francisco

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Section: Introductionmentioning

confidence: 99%

Indoor Channel Measurements and Models at 2.4 GHz in a Hospital

Francisco

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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“…Measurements from 3.1 to 6 GHz were carried out at Oulu University Hospital for ultra-wideband applications. 20 However, most commercial low-power wireless systems still operate in the industrial, scientific, and medical 2.4 GHz band. Future IEEE 802.15.6 body area network systems for wearable devices may also operate in this band.…”

Section: Discussionmentioning

confidence: 99%

Predictable and Reliable ECG Monitoring over IEEE 802.11 WLANs Within a Hospital

ParkJuyoung

KangKyungtae

2014

Telemedicine and e-Health

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Telecardiology provides mobility for patients who require constant electrocardiogram (ECG) monitoring. However, its safety is dependent on the predictability and robustness of data delivery, which must overcome errors in the wireless channel through which the ECG data are transmitted. We report here a framework that can be used to gauge the applicability of IEEE 802.11 wireless local area network (WLAN) technology to ECG monitoring systems in terms of delay constraints and transmission reliability. For this purpose, a medical-grade WLAN architecture achieved predictable delay through the combination of a medium access control mechanism based on the point coordination function provided by IEEE 802.11 and an error control scheme based on Reed-Solomon coding and block interleaving. The size of the jitter buffer needed was determined by this architecture to avoid service dropout caused by buffer underrun, through analysis of variations in transmission delay. Finally, we assessed this architecture in terms of service latency and reliability by modeling the transmission of uncompressed two-lead electrocardiogram data from the MIT-BIH Arrhythmia Database and highlight the applicability of this wireless technology to telecardiology.

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“…Appropriate channel models should be used in order to predict the UWB path loss and to investigate the channel behavior. The characterization of the UWB path loss based on the frequency domain measurements has been reported in different frequency bandwidths in [3]- [5] for residential, office and hospital environments. In [6], [7], the UWB path loss model has been obtained based on the time domain measurements for office environments.…”

Section: Introductionmentioning

confidence: 99%