Evaluation of electromagnetic interference and exposure assessment from s-health solutions based on Wi-Fi devices.

Silvia de Miguel-Bilbao, Erik Aguirre, Peio Lopez Iturri, Leire Azpilicueta, José Roldán, Francisco Falcone, Victoria Ramos
Author Information
  1. Silvia de Miguel-Bilbao: Telemedicine and eHealth Research Unit, Health Institute Carlos III, 28029 Madrid, Spain.
  2. Erik Aguirre: Electrical and Electronic Engineering Department, Universidad Pública de Navarra, Pamplona, 31006 Navarra, Spain.
  3. Peio Lopez Iturri: Electrical and Electronic Engineering Department, Universidad Pública de Navarra, Pamplona, 31006 Navarra, Spain.
  4. Leire Azpilicueta: Electrical and Electronic Engineering Department, Universidad Pública de Navarra, Pamplona, 31006 Navarra, Spain.
  5. José Roldán: Telemedicine and eHealth Research Unit, Health Institute Carlos III, 28029 Madrid, Spain.
  6. Francisco Falcone: Electrical and Electronic Engineering Department, Universidad Pública de Navarra, Pamplona, 31006 Navarra, Spain.
  7. Victoria Ramos: Telemedicine and eHealth Research Unit, Health Institute Carlos III, 28029 Madrid, Spain.

Abstract

In the last decade the number of wireless devices operating at the frequency band of 2.4 GHz has increased in several settings, such as healthcare, occupational, and household. In this work, the emissions from Wi-Fi transceivers applicable to context aware scenarios are analyzed in terms of potential interference and assessment on exposure guideline compliance. Near field measurement results as well as deterministic simulation results on realistic indoor environments are presented, providing insight on the interaction between the Wi-Fi transceiver and implantable/body area network devices as well as other transceivers operating within an indoor environment, exhibiting topological and morphological complexity. By following approaches (near field estimation/deterministic estimation), colocated body situations as well as large indoor emissions can be determined. The results show in general compliance with exposure levels and the impact of overall network deployment, which can be optimized in order to reduce overall interference levels while maximizing system performance.

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MeSH Term

Absorption, Radiation
Cell Phone
Computer Communication Networks
Computer Simulation
Electricity
Electromagnetic Fields
Electronics
Environmental Exposure
Health
Humans
Spectrum Analysis

Word Cloud

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