Effect of modulated at different low frequencies microwave radiation on human EEG View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-01-29

AUTHORS

Hiie Hinrikus, Maie Bachmann, Jaanus Lass, Viiu Tuulik

ABSTRACT

This study is aimed to clarify whether effect of low-level microwave radiation on human brain differs at different modulation frequencies. Resting EEG recordings were done on different groups of healthy volunteers. The 450 MHz microwave radiation modulated at 40 and 70 Hz (15 subjects) and 217 and 1,000 Hz (19 subjects) frequencies was applied. The results of our previous study at 7, 14 and 21 Hz modulation were included into analysis. Ten cycles of the exposure (1 min off and 1 min on) at each fixed modulation frequencies were applied. The field power density at the scalp was always 0.16 mW/cm2. Our results showed that microwave exposure increased the EEG energy at EEG frequencies lower or close to the modulation frequency. No effect was detected at EEG frequencies higher than the modulation frequency. Statistically significant changes were caused by exposure in the EEG alpha and beta frequency bands; no significant effect was detected in the theta band. Our results suggest that telecommunication devices with complex spectrum of modulation frequencies like mobile phone can affect all human EEG frequency bands. More... »

PAGES

215-219

References to SciGraph publications

  • 2005-12. Effect of 450 MHz Microwave Modulated with 217 Hz on Human EEG in Rest in ENVIRONMENT SYSTEMS AND DECISIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10669-009-9215-7

    DOI

    http://dx.doi.org/10.1007/s10669-009-9215-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028173832


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/16", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Studies in Human Society", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.6988.f", 
              "name": [
                "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hinrikus", 
            "givenName": "Hiie", 
            "id": "sg:person.01275622221.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275622221.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.6988.f", 
              "name": [
                "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bachmann", 
            "givenName": "Maie", 
            "id": "sg:person.01313621113.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313621113.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.6988.f", 
              "name": [
                "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lass", 
            "givenName": "Jaanus", 
            "id": "sg:person.01112256121.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112256121.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.6988.f", 
              "name": [
                "Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tuulik", 
            "givenName": "Viiu", 
            "id": "sg:person.01165234721.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165234721.37"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10669-005-4279-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007617377", 
              "https://doi.org/10.1007/s10669-005-4279-5"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2009-01-29", 
        "datePublishedReg": "2009-01-29", 
        "description": "This study is aimed to clarify whether effect of low-level microwave radiation on human brain differs at different modulation frequencies. Resting EEG recordings were done on different groups of healthy volunteers. The 450\u00a0MHz microwave radiation modulated at 40 and 70\u00a0Hz (15 subjects) and 217 and 1,000\u00a0Hz (19 subjects) frequencies was applied. The results of our previous study at 7, 14 and 21\u00a0Hz modulation were included into analysis. Ten cycles of the exposure (1\u00a0min off and 1\u00a0min on) at each fixed modulation frequencies were applied. The field power density at the scalp was always 0.16\u00a0mW/cm2. Our results showed that microwave exposure increased the EEG energy at EEG frequencies lower or close to the modulation frequency. No effect was detected at EEG frequencies higher than the modulation frequency. Statistically significant changes were caused by exposure in the EEG alpha and beta frequency bands; no significant effect was detected in the theta band. Our results suggest that telecommunication devices with complex spectrum of modulation frequencies like mobile phone can affect all human EEG frequency bands.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10669-009-9215-7", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136373", 
            "issn": [
              "2194-5403", 
              "2194-5411"
            ], 
            "name": "Environment Systems and Decisions", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "29"
          }
        ], 
        "keywords": [
          "low-level microwave radiation", 
          "EEG frequencies", 
          "beta frequency bands", 
          "healthy volunteers", 
          "brain differs", 
          "theta band", 
          "EEG frequency bands", 
          "EEG alpha", 
          "EEG recordings", 
          "significant changes", 
          "exposure", 
          "microwave exposure", 
          "EEG energy", 
          "human EEG", 
          "previous studies", 
          "Hz modulation", 
          "field power density", 
          "Hz frequency", 
          "significant effect", 
          "different groups", 
          "volunteers", 
          "scalp", 
          "effect", 
          "different low frequencies", 
          "study", 
          "frequency", 
          "alpha", 
          "EEG", 
          "low frequency", 
          "recordings", 
          "group", 
          "modulation", 
          "results", 
          "changes", 
          "radiation", 
          "differs", 
          "Hz", 
          "modulation frequency", 
          "mW/cm2", 
          "analysis", 
          "cycle", 
          "different modulation frequencies", 
          "frequency band", 
          "mobile phones", 
          "complex spectra", 
          "phones", 
          "density", 
          "devices", 
          "band", 
          "microwave radiation", 
          "cm2", 
          "telecommunication devices", 
          "spectra", 
          "power density", 
          "MHz", 
          "energy", 
          "human brain differs", 
          "human EEG frequency bands"
        ], 
        "name": "Effect of modulated at different low frequencies microwave radiation on human EEG", 
        "pagination": "215-219", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028173832"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10669-009-9215-7"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10669-009-9215-7", 
          "https://app.dimensions.ai/details/publication/pub.1028173832"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-12-01T19:21", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_493.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10669-009-9215-7"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10669-009-9215-7'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10669-009-9215-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10669-009-9215-7'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10669-009-9215-7'


     

    This table displays all metadata directly associated to this object as RDF triples.

    141 TRIPLES      22 PREDICATES      84 URIs      75 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10669-009-9215-7 schema:about anzsrc-for:05
    2 anzsrc-for:16
    3 schema:author N1a941c9120764c1cba24e89b85eeeebe
    4 schema:citation sg:pub.10.1007/s10669-005-4279-5
    5 schema:datePublished 2009-01-29
    6 schema:datePublishedReg 2009-01-29
    7 schema:description This study is aimed to clarify whether effect of low-level microwave radiation on human brain differs at different modulation frequencies. Resting EEG recordings were done on different groups of healthy volunteers. The 450 MHz microwave radiation modulated at 40 and 70 Hz (15 subjects) and 217 and 1,000 Hz (19 subjects) frequencies was applied. The results of our previous study at 7, 14 and 21 Hz modulation were included into analysis. Ten cycles of the exposure (1 min off and 1 min on) at each fixed modulation frequencies were applied. The field power density at the scalp was always 0.16 mW/cm2. Our results showed that microwave exposure increased the EEG energy at EEG frequencies lower or close to the modulation frequency. No effect was detected at EEG frequencies higher than the modulation frequency. Statistically significant changes were caused by exposure in the EEG alpha and beta frequency bands; no significant effect was detected in the theta band. Our results suggest that telecommunication devices with complex spectrum of modulation frequencies like mobile phone can affect all human EEG frequency bands.
    8 schema:genre article
    9 schema:inLanguage en
    10 schema:isAccessibleForFree false
    11 schema:isPartOf Ne74a4ed0fc184f34a15d75536bf49013
    12 Ne8c7c9e58bfe48739b814d069ce61b7d
    13 sg:journal.1136373
    14 schema:keywords EEG
    15 EEG alpha
    16 EEG energy
    17 EEG frequencies
    18 EEG frequency bands
    19 EEG recordings
    20 Hz
    21 Hz frequency
    22 Hz modulation
    23 MHz
    24 alpha
    25 analysis
    26 band
    27 beta frequency bands
    28 brain differs
    29 changes
    30 cm2
    31 complex spectra
    32 cycle
    33 density
    34 devices
    35 different groups
    36 different low frequencies
    37 different modulation frequencies
    38 differs
    39 effect
    40 energy
    41 exposure
    42 field power density
    43 frequency
    44 frequency band
    45 group
    46 healthy volunteers
    47 human EEG
    48 human EEG frequency bands
    49 human brain differs
    50 low frequency
    51 low-level microwave radiation
    52 mW/cm2
    53 microwave exposure
    54 microwave radiation
    55 mobile phones
    56 modulation
    57 modulation frequency
    58 phones
    59 power density
    60 previous studies
    61 radiation
    62 recordings
    63 results
    64 scalp
    65 significant changes
    66 significant effect
    67 spectra
    68 study
    69 telecommunication devices
    70 theta band
    71 volunteers
    72 schema:name Effect of modulated at different low frequencies microwave radiation on human EEG
    73 schema:pagination 215-219
    74 schema:productId N02af915669724322b176c996cd605347
    75 N1345a2942c3f4f5cb2eee43c10b734d6
    76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028173832
    77 https://doi.org/10.1007/s10669-009-9215-7
    78 schema:sdDatePublished 2021-12-01T19:21
    79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    80 schema:sdPublisher N7cc0cc35011b4093860ad404b562ca82
    81 schema:url https://doi.org/10.1007/s10669-009-9215-7
    82 sgo:license sg:explorer/license/
    83 sgo:sdDataset articles
    84 rdf:type schema:ScholarlyArticle
    85 N02af915669724322b176c996cd605347 schema:name dimensions_id
    86 schema:value pub.1028173832
    87 rdf:type schema:PropertyValue
    88 N1345a2942c3f4f5cb2eee43c10b734d6 schema:name doi
    89 schema:value 10.1007/s10669-009-9215-7
    90 rdf:type schema:PropertyValue
    91 N1a941c9120764c1cba24e89b85eeeebe rdf:first sg:person.01275622221.56
    92 rdf:rest N34c702c74d3145d5bd7352f571e966fd
    93 N34c702c74d3145d5bd7352f571e966fd rdf:first sg:person.01313621113.57
    94 rdf:rest Nf8fdf027094a4b5a9902c6ed82a34d26
    95 N7cc0cc35011b4093860ad404b562ca82 schema:name Springer Nature - SN SciGraph project
    96 rdf:type schema:Organization
    97 N7e88e66569b94fec9e03194c04d5b38f rdf:first sg:person.01165234721.37
    98 rdf:rest rdf:nil
    99 Ne74a4ed0fc184f34a15d75536bf49013 schema:volumeNumber 29
    100 rdf:type schema:PublicationVolume
    101 Ne8c7c9e58bfe48739b814d069ce61b7d schema:issueNumber 2
    102 rdf:type schema:PublicationIssue
    103 Nf8fdf027094a4b5a9902c6ed82a34d26 rdf:first sg:person.01112256121.94
    104 rdf:rest N7e88e66569b94fec9e03194c04d5b38f
    105 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    106 schema:name Environmental Sciences
    107 rdf:type schema:DefinedTerm
    108 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
    109 schema:name Studies in Human Society
    110 rdf:type schema:DefinedTerm
    111 sg:journal.1136373 schema:issn 2194-5403
    112 2194-5411
    113 schema:name Environment Systems and Decisions
    114 schema:publisher Springer Nature
    115 rdf:type schema:Periodical
    116 sg:person.01112256121.94 schema:affiliation grid-institutes:grid.6988.f
    117 schema:familyName Lass
    118 schema:givenName Jaanus
    119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112256121.94
    120 rdf:type schema:Person
    121 sg:person.01165234721.37 schema:affiliation grid-institutes:grid.6988.f
    122 schema:familyName Tuulik
    123 schema:givenName Viiu
    124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165234721.37
    125 rdf:type schema:Person
    126 sg:person.01275622221.56 schema:affiliation grid-institutes:grid.6988.f
    127 schema:familyName Hinrikus
    128 schema:givenName Hiie
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275622221.56
    130 rdf:type schema:Person
    131 sg:person.01313621113.57 schema:affiliation grid-institutes:grid.6988.f
    132 schema:familyName Bachmann
    133 schema:givenName Maie
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313621113.57
    135 rdf:type schema:Person
    136 sg:pub.10.1007/s10669-005-4279-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007617377
    137 https://doi.org/10.1007/s10669-005-4279-5
    138 rdf:type schema:CreativeWork
    139 grid-institutes:grid.6988.f schema:alternateName Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia
    140 schema:name Department of Biomedical Engineering, Technomedicum of Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia
    141 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...