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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Specific Absorption Rate (SAR) in the head of Tablet user's</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Juliana Borges Ferreira</string-name>
          <email>ju.borges@ufrgs.br</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Álvaro Augusto Almeida de Salles</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>B. Antenna model</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>C. SAM phantom</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Electrical Engineering Department Federal University of Rio Grande do Sul</institution>
          ,
          <addr-line>UFRGS Porto Alegre, RS</addr-line>
          ,
          <country country="BR">Brazil</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Post-graduation program in Electrical Engineering Federal University of Rio Grande do Sul</institution>
          ,
          <addr-line>UFRGS Porto Alegre, RS</addr-line>
          ,
          <country country="BR">Brazil</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2015</year>
      </pub-date>
      <volume>1538</volume>
      <abstract>
        <p>-Wireless communication devices such as tablets are increasing and developing rapidly. The effects of the electromagnetic (EM) waves in the human body from the wireless communication devices have been paid attention. It is well known that the absorption of electromagnetic waves on the human head for a certain period of time may lead to health problems such as headaches, or even worse, significantly increased risk of brain cancer. In this paper, the Specific Absorption Rate (SAR) in the head of tablet user's is simulated for three different head models and compared with available international recommendations. The models used are the Specific Anthropomorphic Mannequin (SAM) and two realistic models of human head (a 34 years old adult and a 6 years old child). The simulations were performed using the finite difference time domain (FDTD) method and the frequency used to feed the antenna was 2.45 GHz. All the results are below the safety recommendations set up by the International Commission Non-Ionizing Radiation Protection (ICNIRP) and the Federal Communications Committee (FCC). Among the heterogeneous models, the highest peak spatial Specific Absorption Rate (psSAR) values are estimated for the children. For 1 g psSAR the child heterogeneous model shows highest value in comparison to the SAM model.</p>
      </abstract>
      <kwd-group>
        <kwd>Tablets</kwd>
        <kwd>Specific anthropomorphic mannequin</kwd>
        <kwd>method</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>rate; Specific
time-domain</p>
    </sec>
    <sec id="sec-2">
      <title>I. INTRODUCTION</title>
      <p>
        SAR evaluations in the human body from a tablet computer
is increasing in recent year. A substantial concern has risen
regarding the possible adverse effects on human health [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]-[
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]
due to the user’s electromagnetic (EM) energy absorption for
long periods of time. Several safety standards have been
defined [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]–[
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] in order to prevent harmful effects in human
beings exposed to non-ionizing radiation (NIR). The Specific
Absorption Rate (SAR) is a unit to indicate the amount of
power absorbed per unit mass of human biological tissue when
exposed to electromagnetic radiation. The SAR is defined
using the following equation (1):
=
( ) | ( ) |²
( )
( )
(1)
where σ is the electrical equivalent conductivity of the sample
(S/m), ρ is the density of the sample (Kg/m³), and E is the RMS
electric-field (V/m).
      </p>
    </sec>
    <sec id="sec-3">
      <title>D. Adult and children head models</title>
      <p>
        Two available [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] realistic head models were used in these
simulations. They are heterogeneous and reproduce
approximately the human head tissue morphology. These
models were obtained from magnetic resonance imaging (MRI)
and are available at the Virtual Family [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ].
      </p>
      <p>
        These models are shown on Fig. 4. The first one is a 34
years old adult man (DUKE) and the second is a 6 years old
boy (THELONIOUS). The different tissue dielectric
parameters used in these simulations were obtained from [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]
and are included in Table IV.
      </p>
      <p>Fig 3. SAM phantom (homogeneous model) with Tablet.
(a) 34 years old adult man
(DUKE)
(b) 6 years old child</p>
      <p>(THELONIOUS)</p>
      <p>Tissue
Fat</p>
      <p>Bone
Grey matter
White matter
Liquid Brain</p>
      <p>Muscle
Aqueous Humor</p>
      <p>Skin
Crystalline</p>
      <p>Sclera
Vitreous Humor</p>
      <p>Cerebellum</p>
      <p>Nerve
εr
0.104
0.394
1.807
1.215
66.243
52.729
68.208
38.007</p>
      <p>Some international organizations recommend the
evaluations and exposure limits to electromagnetic fields
generated by wireless devices near the human body (e.g.,
[35]). Table V shows some recommended exposure limits.</p>
      <p>
        The IEEE 1528.2003 standard [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] uses a simplified human
head model to estimate the average peak spatial SAR value
generated by communication devices in the range from 300
MHz to 3 GHz. It is designed to provide a conservative
estimate of the maximum average values of SAR during
normal use of these devices. A model for the human anatomy
(SAM phantom) was developed to evaluate the exposure in the
near field produced by wireless devices.
      </p>
      <p>
        The IEC 62209-1 and IEC 62209-2 standards [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] deal with
the assessment of exposure to electromagnetic fields generated
by wireless devices near the human body in the frequency
range 30 MHz to 6 GHz. These are applicable to any devices
operating at distances up to 200 mm away from the body, e.g.,
when it is near the face or any other body region.
      </p>
      <p>
        The 10 g and 1 g psSAR were estimated and are shown in
Table VII and Fig. 5-6. All the results simulated are below the
FCC psSAR limit [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] of 1.6 W/Kg in each 1 g of tissue and
the ICNIRP psSAR limit of 2 W/Kg in each 10 g of tissue.
      </p>
      <p>In the simulations for 1 g of tissue, the highest psSAR value
is in the children head model (Fig. 5).</p>
      <p>In the simulations for 10 g of tissue, the highest psSAR
value is in the SAM Phantom, and in the heterogeneous
models, the highest psSAR value is in the children head model
(Fig. 6).
psSAR X Distances X AGE (1g)</p>
    </sec>
    <sec id="sec-4">
      <title>IV. COMPUTATIONAL RESOURCES</title>
      <p>All the simulations in this work were performed using a
computer Intel Core i5 3470 at 3.4 GHz equipped with 32 GB
of RAM, NVidia Tesla C1060 GPU card, and Windows 7
Professional x64 operating system, available in the
communications laboratory (LACOM) of the Federal
University of Rio Grande do Sul. The finite difference time
domain-FDTD method was used to simulate different scenarios
for the models and to estimate the SAR.</p>
    </sec>
    <sec id="sec-5">
      <title>V. RESULTS AND DISCUSSION</title>
      <p>A tablet, including the antenna and the box, was simulated
at 2.45 GHz assuming 30 mW normalized radiated power and
the distance between the eye lens of the head models and the
tablet was 150 mm. The SAR in the head models is estimated
in each situation of exposure.</p>
      <p>In Table VI the absorbed power percentages are shown in
each case. The estimation with the SAM phantom shows that
5,5 % of the energy was absorbed by this model. For the Adult
Head model 4,71 % of the energy was absorbed and for the
Children Head model 3,97 %. In the Fig. 7 the radiation pattern
as well as the SAR in a sagittal slice are shown.
0.014
0.013
0.012
0.011
0.01
0.008
0.006
0.004
0.002
0
1g SAM</p>
      <sec id="sec-5-1">
        <title>1g THEL (6 YEARS</title>
      </sec>
      <sec id="sec-5-2">
        <title>1g DUKE (34 YEARS)</title>
        <p>psSAR X Distances X AGE (10g)</p>
        <p>The 1 g and 10 g of tissue psSAR produced in the head of
Tablet user’s was simulated when a PIFA antenna was
employed in three different head models.</p>
        <p>The homogeneous SAM phantom head model did not
present the higher levels of the 1g psSAR. Therefore,
according to these simulations, in 1g volume the SAM is not
conservative. It is recommended that the existing mobile
devices certification process should be complemented:
•
•
•
•
… with an FDTD computer simulation process,
… using anatomically based models, including those
representatives of the children,
… measuring the SAR, averaged over smaller volumes,
…and in different tissues.</p>
        <p>Then certification should be approved only if all tests result
in psSAR below the recommended limits.</p>
        <p>The psSAR simulations in heterogeneous models (adult and
child) show higher levels in the children model. The possible
reasons for the higher SAR estimated in the child head model
compared with adult model can be due to different reasons (e.g.
thinner skull, higher dielectric parameters, smaller dimensions,
etc.).</p>
        <p>It is very important to remark that the recommendations
and the standards usually adopted in different countries only
consider the health effects of short time of exposure. Adults,
adolescents and children may use these devices for many hours
a day, many days a week and many weeks each year. Then
these exposures should be reduced in order to reduce the health
risks and the standards should be revised again since the last
review was many years ago.</p>
      </sec>
    </sec>
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