Personal exposure meters (PEMs) used for measuring exposure to electromagnetic fields (EMF) are typically used in epidemiological studies. As is well known, these measurement devices cause a perturbation of real EMF exposure levels due to the presence of the human body in the immediate proximity. This paper aims to model the alteration caused by the body shadow effect (BSE) in motion conditions and in indoor enclosures at the Wi-Fi frequency of 2.4 GHz. For this purpose, simulation techniques based on ray-tracing have been carried out, and their results have been verified experimentally. A good agreement exists between simulation and experimental results in terms of electric field (E-field) levels, and taking into account the cumulative distribution function (CDF) of the spatial distribution of amplitude. The Kolmogorov-Smirnov (KS) test provides a P-value greater than 0.05, in fact close to 1. It has been found that the influence of the presence of the human body can be characterized as an angle of shadow that depends on the dimensions of the indoor enclosure. The CDFs show that the E-field levels in indoor conditions follow a lognormal distribution in the absence of the human body and under the influence of BSE. In conclusion, the perturbation caused by BSE in PEMs readings cannot be compensated for by correction factors. Although the mean value is well adjusted, BSE causes changes in CDF that would require improvements in measurement protocols and in the design of measuring devices to subsequently avoid systematic errors.

The study reveals that there are numerous publications on telemedicine and home-monitoring systems using wireless networks. However, literature on effectiveness in terms of connectivity and transmission problems and electromagnetic interferences is limited. From the collected studies, it can be concluded that there are transmission failures, low-coverage areas, errors in the transmission of packets, and so on. Moreover, cases of serious interferences in medical instruments have also been reported. These facts highlight the lack of studies and specific recommendations to be followed in the implementation of biomonitoring systems in domestic environments using wireless networks.

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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. The working conditions of a Wi-Fi module have been analyzed. The levels of electromagnetic (EM) field in near field conditions were measured inside an anechoic chamber with a specific absorption rate (SAR) fully automated test system, DASY5PRO. The obtained results were compared with the levels set by international regulations to analyze the exposure to EM fields. In close areas to the device, the obtained electric field levels show that local exposure can reach the most restrictive value of 3 V/m that is established in the International Electrotechnical Commission Standard of Electromedical Devices.

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