Novel estimation method of signal source position inside a human body using switching voltage divider: A preliminary Study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-12

AUTHORS

Yusuke Sakaue, Masaaki Makikawa

ABSTRACT

Multiple surface electrodes must be attached to the skin for high-accuracy signal source position estimation inside the human body, and can be uncomfortable for the subject. This paper presents a method for signal source position estimation inside the human body to solve this problem. In our method, the human body is modeled as an electrical circuit, consisting of an internal resistance and a potential source, which can both be measured simultaneously via two surface electrodes using switching voltage divider technology. The purpose of this study is to reduce the number of electrodes required for human body signal source localization, and the estimation ability of the proposed method is confirmed here. A single signal source consisting of positive and negative poles was set inside a water tank filled with tap water to simulate a human body, and a sine wave was generated using this signal source. Stainless steel measurement electrodes were used to obtain the signal source potential and internal resistance. Equations representing the signal source position were developed using the information at each electrode, and signal source position was estimated by solving simultaneous equations. Signal source position was estimated correctly with maximum localization error of 2.6 mm. Our method showed that the signal source position inside a water tank filled with tap water can be estimated using internal resistance. This paper presents preliminary study results towards our final goal of the signal source position estimation inside a human heart using small numbers of electrodes. More... »

PAGES

263-270

References to SciGraph publications

Journal

TITLE

Biomedical Engineering Letters

ISSUE

4

VOLUME

5

Author Affiliations

From Grant

  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13534-015-0195-x

    DOI

    http://dx.doi.org/10.1007/s13534-015-0195-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1015598800


    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/2008/0903", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biomedical Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Ritsumeikan University", 
              "id": "https://www.grid.ac/institutes/grid.262576.2", 
              "name": [
                "Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, 525-8577, Shiga, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sakaue", 
            "givenName": "Yusuke", 
            "id": "sg:person.014727541435.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014727541435.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ritsumeikan University", 
              "id": "https://www.grid.ac/institutes/grid.262576.2", 
              "name": [
                "College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji- Higashi, Kusatsu, 525-8577, Shiga, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Makikawa", 
            "givenName": "Masaaki", 
            "id": "sg:person.013075156275.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075156275.95"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.brainresbull.2007.03.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003475136"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/364984.365089", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014291950"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jelectrocard.2013.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016379107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eplepsyres.2011.09.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021988088"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.14326/abe.3.94", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025419246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.clinph.2010.03.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031165130"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10439-009-9747-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034827798", 
              "https://doi.org/10.1007/s10439-009-9747-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10439-009-9747-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034827798", 
              "https://doi.org/10.1007/s10439-009-9747-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-4694(90)90018-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036351689"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-4694(90)90018-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036351689"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm1011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038883873", 
              "https://doi.org/10.1038/nm1011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm1011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038883873", 
              "https://doi.org/10.1038/nm1011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circulationaha.114.011359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047729659"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circulationaha.114.011359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047729659"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0031-9155/56/13/027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059028768"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0031-9155/58/11/3897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059029767"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/titb.2010.2051448", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061656918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/sice.2014.6935278", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095132445"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-12", 
        "datePublishedReg": "2015-12-01", 
        "description": "Multiple surface electrodes must be attached to the skin for high-accuracy signal source position estimation inside the human body, and can be uncomfortable for the subject. This paper presents a method for signal source position estimation inside the human body to solve this problem. In our method, the human body is modeled as an electrical circuit, consisting of an internal resistance and a potential source, which can both be measured simultaneously via two surface electrodes using switching voltage divider technology. The purpose of this study is to reduce the number of electrodes required for human body signal source localization, and the estimation ability of the proposed method is confirmed here. A single signal source consisting of positive and negative poles was set inside a water tank filled with tap water to simulate a human body, and a sine wave was generated using this signal source. Stainless steel measurement electrodes were used to obtain the signal source potential and internal resistance. Equations representing the signal source position were developed using the information at each electrode, and signal source position was estimated by solving simultaneous equations. Signal source position was estimated correctly with maximum localization error of 2.6 mm. Our method showed that the signal source position inside a water tank filled with tap water can be estimated using internal resistance. This paper presents preliminary study results towards our final goal of the signal source position estimation inside a human heart using small numbers of electrodes.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s13534-015-0195-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.6114558", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045643", 
            "issn": [
              "2093-9868", 
              "2093-985X"
            ], 
            "name": "Biomedical Engineering Letters", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "5"
          }
        ], 
        "name": "Novel estimation method of signal source position inside a human body using switching voltage divider: A preliminary Study", 
        "pagination": "263-270", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "4a5231a1f73f31cc2fdf5a43d7267c96b1bb7f0221502ca82ab4a9f1da38b481"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s13534-015-0195-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1015598800"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s13534-015-0195-x", 
          "https://app.dimensions.ai/details/publication/pub.1015598800"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T23:29", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000536.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs13534-015-0195-x"
      }
    ]
     

    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/s13534-015-0195-x'

    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/s13534-015-0195-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13534-015-0195-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13534-015-0195-x'


     

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

    115 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s13534-015-0195-x schema:about anzsrc-for:09
    2 anzsrc-for:0903
    3 schema:author N0126dfd3b6764798b05a4c1d23ec6be8
    4 schema:citation sg:pub.10.1007/s10439-009-9747-5
    5 sg:pub.10.1038/nm1011
    6 https://doi.org/10.1016/0013-4694(90)90018-f
    7 https://doi.org/10.1016/j.brainresbull.2007.03.003
    8 https://doi.org/10.1016/j.clinph.2010.03.016
    9 https://doi.org/10.1016/j.eplepsyres.2011.09.018
    10 https://doi.org/10.1016/j.jelectrocard.2013.03.014
    11 https://doi.org/10.1088/0031-9155/56/13/027
    12 https://doi.org/10.1088/0031-9155/58/11/3897
    13 https://doi.org/10.1109/sice.2014.6935278
    14 https://doi.org/10.1109/titb.2010.2051448
    15 https://doi.org/10.1145/364984.365089
    16 https://doi.org/10.1161/circulationaha.114.011359
    17 https://doi.org/10.14326/abe.3.94
    18 schema:datePublished 2015-12
    19 schema:datePublishedReg 2015-12-01
    20 schema:description Multiple surface electrodes must be attached to the skin for high-accuracy signal source position estimation inside the human body, and can be uncomfortable for the subject. This paper presents a method for signal source position estimation inside the human body to solve this problem. In our method, the human body is modeled as an electrical circuit, consisting of an internal resistance and a potential source, which can both be measured simultaneously via two surface electrodes using switching voltage divider technology. The purpose of this study is to reduce the number of electrodes required for human body signal source localization, and the estimation ability of the proposed method is confirmed here. A single signal source consisting of positive and negative poles was set inside a water tank filled with tap water to simulate a human body, and a sine wave was generated using this signal source. Stainless steel measurement electrodes were used to obtain the signal source potential and internal resistance. Equations representing the signal source position were developed using the information at each electrode, and signal source position was estimated by solving simultaneous equations. Signal source position was estimated correctly with maximum localization error of 2.6 mm. Our method showed that the signal source position inside a water tank filled with tap water can be estimated using internal resistance. This paper presents preliminary study results towards our final goal of the signal source position estimation inside a human heart using small numbers of electrodes.
    21 schema:genre research_article
    22 schema:inLanguage en
    23 schema:isAccessibleForFree false
    24 schema:isPartOf N41ec062b2538495b8278301074e8979f
    25 N519603f6ec844f2fa08c3bb828c97185
    26 sg:journal.1045643
    27 schema:name Novel estimation method of signal source position inside a human body using switching voltage divider: A preliminary Study
    28 schema:pagination 263-270
    29 schema:productId N08dd4127afbf4e099bc440143ca65f32
    30 N672d0fd97efe4f8cb73769f937be0af9
    31 Nb70c21e39a2d46bea5c10f92b8e98988
    32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015598800
    33 https://doi.org/10.1007/s13534-015-0195-x
    34 schema:sdDatePublished 2019-04-10T23:29
    35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    36 schema:sdPublisher Nd5669446f7ba4939a15c0616501d4e39
    37 schema:url http://link.springer.com/10.1007%2Fs13534-015-0195-x
    38 sgo:license sg:explorer/license/
    39 sgo:sdDataset articles
    40 rdf:type schema:ScholarlyArticle
    41 N0126dfd3b6764798b05a4c1d23ec6be8 rdf:first sg:person.014727541435.96
    42 rdf:rest Na362a27d4dfd4545b2805c24174966ea
    43 N08dd4127afbf4e099bc440143ca65f32 schema:name readcube_id
    44 schema:value 4a5231a1f73f31cc2fdf5a43d7267c96b1bb7f0221502ca82ab4a9f1da38b481
    45 rdf:type schema:PropertyValue
    46 N41ec062b2538495b8278301074e8979f schema:issueNumber 4
    47 rdf:type schema:PublicationIssue
    48 N519603f6ec844f2fa08c3bb828c97185 schema:volumeNumber 5
    49 rdf:type schema:PublicationVolume
    50 N672d0fd97efe4f8cb73769f937be0af9 schema:name dimensions_id
    51 schema:value pub.1015598800
    52 rdf:type schema:PropertyValue
    53 Na362a27d4dfd4545b2805c24174966ea rdf:first sg:person.013075156275.95
    54 rdf:rest rdf:nil
    55 Nb70c21e39a2d46bea5c10f92b8e98988 schema:name doi
    56 schema:value 10.1007/s13534-015-0195-x
    57 rdf:type schema:PropertyValue
    58 Nd5669446f7ba4939a15c0616501d4e39 schema:name Springer Nature - SN SciGraph project
    59 rdf:type schema:Organization
    60 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    61 schema:name Engineering
    62 rdf:type schema:DefinedTerm
    63 anzsrc-for:0903 schema:inDefinedTermSet anzsrc-for:
    64 schema:name Biomedical Engineering
    65 rdf:type schema:DefinedTerm
    66 sg:grant.6114558 http://pending.schema.org/fundedItem sg:pub.10.1007/s13534-015-0195-x
    67 rdf:type schema:MonetaryGrant
    68 sg:journal.1045643 schema:issn 2093-985X
    69 2093-9868
    70 schema:name Biomedical Engineering Letters
    71 rdf:type schema:Periodical
    72 sg:person.013075156275.95 schema:affiliation https://www.grid.ac/institutes/grid.262576.2
    73 schema:familyName Makikawa
    74 schema:givenName Masaaki
    75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075156275.95
    76 rdf:type schema:Person
    77 sg:person.014727541435.96 schema:affiliation https://www.grid.ac/institutes/grid.262576.2
    78 schema:familyName Sakaue
    79 schema:givenName Yusuke
    80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014727541435.96
    81 rdf:type schema:Person
    82 sg:pub.10.1007/s10439-009-9747-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034827798
    83 https://doi.org/10.1007/s10439-009-9747-5
    84 rdf:type schema:CreativeWork
    85 sg:pub.10.1038/nm1011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038883873
    86 https://doi.org/10.1038/nm1011
    87 rdf:type schema:CreativeWork
    88 https://doi.org/10.1016/0013-4694(90)90018-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1036351689
    89 rdf:type schema:CreativeWork
    90 https://doi.org/10.1016/j.brainresbull.2007.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003475136
    91 rdf:type schema:CreativeWork
    92 https://doi.org/10.1016/j.clinph.2010.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031165130
    93 rdf:type schema:CreativeWork
    94 https://doi.org/10.1016/j.eplepsyres.2011.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021988088
    95 rdf:type schema:CreativeWork
    96 https://doi.org/10.1016/j.jelectrocard.2013.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016379107
    97 rdf:type schema:CreativeWork
    98 https://doi.org/10.1088/0031-9155/56/13/027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059028768
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.1088/0031-9155/58/11/3897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029767
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.1109/sice.2014.6935278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095132445
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.1109/titb.2010.2051448 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061656918
    105 rdf:type schema:CreativeWork
    106 https://doi.org/10.1145/364984.365089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014291950
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1161/circulationaha.114.011359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047729659
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.14326/abe.3.94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025419246
    111 rdf:type schema:CreativeWork
    112 https://www.grid.ac/institutes/grid.262576.2 schema:alternateName Ritsumeikan University
    113 schema:name College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji- Higashi, Kusatsu, 525-8577, Shiga, Japan
    114 Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, 525-8577, Shiga, Japan
    115 rdf:type schema:Organization
     




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


    ...