Literature DB >> 36249676

Characterizing the 2.4 GHz Spectrum in a Hospital Environment: Modeling and Applicability to Coexistence Testing of Medical Devices.

Mohamad Omar Al Kalaa1, Walid Balid1, Hazem H Refai1, Nickolas J LaSorte2, Seth J Seidman2, Howard I Bassen2, Jeffrey L Silberberg2, Donald Witters2.   

Abstract

The increasing use of shared, unlicensed spectrum bands by medical devices and nonmedical products highlights the need to address wireless coexistence to ensure medical device safety and effectiveness. This paper provides the first step to approximate the probability of a device coexisting in its intended environment by providing a generalized framework for modeling the environment. The application of this framework is shown through an 84-day spectrum survey of the 2.4-2.48 GHz industrial, scientific, and medical band in a hospital environment in the United States. A custom platform was used to monitor power flux spectral density and record received power. Channel utilization of three nonoverlapping channels of 20 MHz bandwidth-relative to IEEE 802.11 channels 1, 6, and 11-were calculated and fitted to a generalized extreme value distribution. Low channel utilization was observed (<10%) in the surveyed environment with sporadic occurrences of higher channel utilization (>50%). Reported findings can be complementary to wireless coexistence testing. This paper can provide input to the development of a consensus standard for wireless device coexistence test methods and a consensus document focused on wireless medical device coexistence risk management.

Entities:  

Keywords:  Coexistence; WLAN; hospital environment; spectrum survey; wireless medical device

Year:  2017        PMID: 36249676      PMCID: PMC9558296          DOI: 10.1109/temc.2016.2602083

Source DB:  PubMed          Journal:  IEEE Trans Electromagn Compat        ISSN: 0018-9375            Impact factor:   2.036


  2 in total

1.  Developing a reproducible non-line-of-sight experimental setup for testing wireless medical device coexistence utilizing ZigBee.

Authors:  Nickolas J LaSorte; Samer A Rajab; Hazem H Refai
Journal:  IEEE Trans Biomed Eng       Date:  2012-08-14       Impact factor: 4.538

2.  Channel models for wireless body area networks.

Authors:  Kenichi Takizawa; Akahiro Aoyagi; Jun-Ichi Takada; Norihiko Katayama; Kamya Yekeh; Yazdandoost Takehiko; Kobayashi Ryuji Kohno
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008
  2 in total
  1 in total

1.  Estimating the Likelihood of Wireless Coexistence Using Logistic Regression: Emphasis on Medical Devices.

Authors:  Mohamad Omar Al Kalaa; Seth J Seidman; Hazem H Refai
Journal:  IEEE Trans Electromagn Compat       Date:  2018-10       Impact factor: 2.036

  1 in total

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