Detection of brainstem auditory evoked potential by adaptive filtering View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-01

AUTHORS

F. H. Y. Chan, F. K. Lam, P. W. F. Poon, W. Qiu

ABSTRACT

A method of detecting brainstem auditory evoked potential (BAEP) using adaptive signal enhancement (ASE) is proposed and tested in humans and cats. The ASE in this system estimates the signal component of the primary input, which is correlated with the reference input to the adaptive filter. The reference input is carefully designed to make an optimal and rapid estimation of the signal corrupted with noise, such as ongoing EEG. With a good choice of reference input, it is possible to track the variability of BAEP efficiently and rapidly. Moreover, the number of repetitions required could be markedly reduced and the result of the system is superior to that of ensemble averaging (EA). To detect BAEP in cats, only 30 ensemble averages are needed to obtain a reasonable reference input to the adaptive filter, and, for humans, 350-750 ensemble averages are sufficient for a satisfactory result. Using the LMS adaptive algorithm, individual BAEP can be obtained in real-time. More... »

PAGES

69-75

References to SciGraph publications

  • 1992-01. Measurement of human BAERs by the maximum length sequence technique in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
  • 1981-09. A posteriori time-varying filtering of averaged evoked potentials in BIOLOGICAL CYBERNETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02522949

    DOI

    http://dx.doi.org/10.1007/bf02522949

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1021317868

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/7616785


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cats", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Evoked Potentials, Auditory, Brain Stem", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Signal Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Hong Kong", 
              "id": "https://www.grid.ac/institutes/grid.194645.b", 
              "name": [
                "Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chan", 
            "givenName": "F. H. Y.", 
            "id": "sg:person.010136115452.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010136115452.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Hong Kong", 
              "id": "https://www.grid.ac/institutes/grid.194645.b", 
              "name": [
                "Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lam", 
            "givenName": "F. K.", 
            "id": "sg:person.01105512250.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105512250.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Hong Kong", 
              "id": "https://www.grid.ac/institutes/grid.194645.b", 
              "name": [
                "Department of Physiology, The University of Hong Kong, Pokfulam Road, Hong Kong"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Poon", 
            "givenName": "P. W. F.", 
            "id": "sg:person.0750445175.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750445175.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Hong Kong", 
              "id": "https://www.grid.ac/institutes/grid.194645.b", 
              "name": [
                "Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Qiu", 
            "givenName": "W.", 
            "id": "sg:person.0714032245.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714032245.02"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00340322", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016753248", 
              "https://doi.org/10.1007/bf00340322"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-4694(75)90196-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047124310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-4694(75)90196-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047124310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02446190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049092757", 
              "https://doi.org/10.1007/bf02446190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02446190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049092757", 
              "https://doi.org/10.1007/bf02446190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/10.142652", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061084033"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/10.161335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061084051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/16.129079", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061092435"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/proc.1975.10036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061442932"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/proc.1976.10286", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061443393"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tap.1981.1142661", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061493037"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tassp.1981.1163589", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061518852"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tbme.1985.325510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061525224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tbme.1987.325919", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061525516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tbme.1987.326024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061525600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075903608", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1080176789", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1995-01", 
        "datePublishedReg": "1995-01-01", 
        "description": "A method of detecting brainstem auditory evoked potential (BAEP) using adaptive signal enhancement (ASE) is proposed and tested in humans and cats. The ASE in this system estimates the signal component of the primary input, which is correlated with the reference input to the adaptive filter. The reference input is carefully designed to make an optimal and rapid estimation of the signal corrupted with noise, such as ongoing EEG. With a good choice of reference input, it is possible to track the variability of BAEP efficiently and rapidly. Moreover, the number of repetitions required could be markedly reduced and the result of the system is superior to that of ensemble averaging (EA). To detect BAEP in cats, only 30 ensemble averages are needed to obtain a reasonable reference input to the adaptive filter, and, for humans, 350-750 ensemble averages are sufficient for a satisfactory result. Using the LMS adaptive algorithm, individual BAEP can be obtained in real-time.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf02522949", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1005585", 
            "issn": [
              "1357-5481", 
              "1741-0444"
            ], 
            "name": "Medical & Biological Engineering & Computing", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "33"
          }
        ], 
        "name": "Detection of brainstem auditory evoked potential by adaptive filtering", 
        "pagination": "69-75", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "65919db3b1b90b1174df2705f69b01fdd2feac1a332b79e1c99be6e71e56b4c8"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "7616785"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "7704869"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf02522949"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1021317868"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf02522949", 
          "https://app.dimensions.ai/details/publication/pub.1021317868"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:27", 
        "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/v90/0000000370_0000000370/records_46738_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF02522949"
      }
    ]
     

    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/bf02522949'

    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/bf02522949'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02522949'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02522949'


     

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

    160 TRIPLES      21 PREDICATES      50 URIs      27 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf02522949 schema:about N0a39986717a547019bc142e85ba637eb
    2 N10d7654ecd0a4ecbb6eea983fead9232
    3 N6fa65b0e478e49a391ce954d8ac3084f
    4 Na0b17b102aa24d129f9c24204b374b6f
    5 Ncf20e7672d864196a0f4809cc2a92911
    6 Ndf42a24fa23a4c7292b03250fc9feebe
    7 anzsrc-for:08
    8 anzsrc-for:0801
    9 schema:author N41acd6fba90f45c2b4797430d25ec58c
    10 schema:citation sg:pub.10.1007/bf00340322
    11 sg:pub.10.1007/bf02446190
    12 https://app.dimensions.ai/details/publication/pub.1075903608
    13 https://app.dimensions.ai/details/publication/pub.1080176789
    14 https://doi.org/10.1016/0013-4694(75)90196-0
    15 https://doi.org/10.1109/10.142652
    16 https://doi.org/10.1109/10.161335
    17 https://doi.org/10.1109/16.129079
    18 https://doi.org/10.1109/proc.1975.10036
    19 https://doi.org/10.1109/proc.1976.10286
    20 https://doi.org/10.1109/tap.1981.1142661
    21 https://doi.org/10.1109/tassp.1981.1163589
    22 https://doi.org/10.1109/tbme.1985.325510
    23 https://doi.org/10.1109/tbme.1987.325919
    24 https://doi.org/10.1109/tbme.1987.326024
    25 schema:datePublished 1995-01
    26 schema:datePublishedReg 1995-01-01
    27 schema:description A method of detecting brainstem auditory evoked potential (BAEP) using adaptive signal enhancement (ASE) is proposed and tested in humans and cats. The ASE in this system estimates the signal component of the primary input, which is correlated with the reference input to the adaptive filter. The reference input is carefully designed to make an optimal and rapid estimation of the signal corrupted with noise, such as ongoing EEG. With a good choice of reference input, it is possible to track the variability of BAEP efficiently and rapidly. Moreover, the number of repetitions required could be markedly reduced and the result of the system is superior to that of ensemble averaging (EA). To detect BAEP in cats, only 30 ensemble averages are needed to obtain a reasonable reference input to the adaptive filter, and, for humans, 350-750 ensemble averages are sufficient for a satisfactory result. Using the LMS adaptive algorithm, individual BAEP can be obtained in real-time.
    28 schema:genre research_article
    29 schema:inLanguage en
    30 schema:isAccessibleForFree false
    31 schema:isPartOf N7362cb4d6f8d41c69725989c1edce3f8
    32 N8bbba4d91d6845679d9079bbd602001c
    33 sg:journal.1005585
    34 schema:name Detection of brainstem auditory evoked potential by adaptive filtering
    35 schema:pagination 69-75
    36 schema:productId N3b141800c7254c7183b0e80287db57cb
    37 N40a82d24a85d44559acbfa1a8bce4cac
    38 N522eacee709540bc80686c777a768259
    39 Nb1f03f0dcbf146d1a93f8c7f1a872fd3
    40 Nf8d3a940574b4d29a58344fb92bbabb9
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021317868
    42 https://doi.org/10.1007/bf02522949
    43 schema:sdDatePublished 2019-04-11T13:27
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N78cd0183ee2f462db90d4c7604c4a98e
    46 schema:url http://link.springer.com/10.1007/BF02522949
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset articles
    49 rdf:type schema:ScholarlyArticle
    50 N0a39986717a547019bc142e85ba637eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    51 schema:name Cats
    52 rdf:type schema:DefinedTerm
    53 N10d7654ecd0a4ecbb6eea983fead9232 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    54 schema:name Algorithms
    55 rdf:type schema:DefinedTerm
    56 N2ecaff68ea9542c2b3d15f8bf41ffcd8 rdf:first sg:person.0714032245.02
    57 rdf:rest rdf:nil
    58 N3b141800c7254c7183b0e80287db57cb schema:name doi
    59 schema:value 10.1007/bf02522949
    60 rdf:type schema:PropertyValue
    61 N40a82d24a85d44559acbfa1a8bce4cac schema:name readcube_id
    62 schema:value 65919db3b1b90b1174df2705f69b01fdd2feac1a332b79e1c99be6e71e56b4c8
    63 rdf:type schema:PropertyValue
    64 N41acd6fba90f45c2b4797430d25ec58c rdf:first sg:person.010136115452.58
    65 rdf:rest Nead82ff036ce459a81ad338c83044886
    66 N522eacee709540bc80686c777a768259 schema:name pubmed_id
    67 schema:value 7616785
    68 rdf:type schema:PropertyValue
    69 N6fa65b0e478e49a391ce954d8ac3084f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    70 schema:name Humans
    71 rdf:type schema:DefinedTerm
    72 N7362cb4d6f8d41c69725989c1edce3f8 schema:issueNumber 1
    73 rdf:type schema:PublicationIssue
    74 N78cd0183ee2f462db90d4c7604c4a98e schema:name Springer Nature - SN SciGraph project
    75 rdf:type schema:Organization
    76 N8bbba4d91d6845679d9079bbd602001c schema:volumeNumber 33
    77 rdf:type schema:PublicationVolume
    78 Na0b17b102aa24d129f9c24204b374b6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Evoked Potentials, Auditory, Brain Stem
    80 rdf:type schema:DefinedTerm
    81 Nb1f03f0dcbf146d1a93f8c7f1a872fd3 schema:name dimensions_id
    82 schema:value pub.1021317868
    83 rdf:type schema:PropertyValue
    84 Ncf20e7672d864196a0f4809cc2a92911 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    85 schema:name Animals
    86 rdf:type schema:DefinedTerm
    87 Ndf42a24fa23a4c7292b03250fc9feebe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    88 schema:name Signal Processing, Computer-Assisted
    89 rdf:type schema:DefinedTerm
    90 Nead82ff036ce459a81ad338c83044886 rdf:first sg:person.01105512250.82
    91 rdf:rest Nef79c154af164c37bdf55877987d0cc5
    92 Nef79c154af164c37bdf55877987d0cc5 rdf:first sg:person.0750445175.05
    93 rdf:rest N2ecaff68ea9542c2b3d15f8bf41ffcd8
    94 Nf8d3a940574b4d29a58344fb92bbabb9 schema:name nlm_unique_id
    95 schema:value 7704869
    96 rdf:type schema:PropertyValue
    97 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    98 schema:name Information and Computing Sciences
    99 rdf:type schema:DefinedTerm
    100 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    101 schema:name Artificial Intelligence and Image Processing
    102 rdf:type schema:DefinedTerm
    103 sg:journal.1005585 schema:issn 1357-5481
    104 1741-0444
    105 schema:name Medical & Biological Engineering & Computing
    106 rdf:type schema:Periodical
    107 sg:person.010136115452.58 schema:affiliation https://www.grid.ac/institutes/grid.194645.b
    108 schema:familyName Chan
    109 schema:givenName F. H. Y.
    110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010136115452.58
    111 rdf:type schema:Person
    112 sg:person.01105512250.82 schema:affiliation https://www.grid.ac/institutes/grid.194645.b
    113 schema:familyName Lam
    114 schema:givenName F. K.
    115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105512250.82
    116 rdf:type schema:Person
    117 sg:person.0714032245.02 schema:affiliation https://www.grid.ac/institutes/grid.194645.b
    118 schema:familyName Qiu
    119 schema:givenName W.
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714032245.02
    121 rdf:type schema:Person
    122 sg:person.0750445175.05 schema:affiliation https://www.grid.ac/institutes/grid.194645.b
    123 schema:familyName Poon
    124 schema:givenName P. W. F.
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750445175.05
    126 rdf:type schema:Person
    127 sg:pub.10.1007/bf00340322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016753248
    128 https://doi.org/10.1007/bf00340322
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1007/bf02446190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049092757
    131 https://doi.org/10.1007/bf02446190
    132 rdf:type schema:CreativeWork
    133 https://app.dimensions.ai/details/publication/pub.1075903608 schema:CreativeWork
    134 https://app.dimensions.ai/details/publication/pub.1080176789 schema:CreativeWork
    135 https://doi.org/10.1016/0013-4694(75)90196-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047124310
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1109/10.142652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061084033
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1109/10.161335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061084051
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1109/16.129079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061092435
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1109/proc.1975.10036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061442932
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1109/proc.1976.10286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061443393
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1109/tap.1981.1142661 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061493037
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1109/tassp.1981.1163589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061518852
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1109/tbme.1985.325510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061525224
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1109/tbme.1987.325919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061525516
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1109/tbme.1987.326024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061525600
    156 rdf:type schema:CreativeWork
    157 https://www.grid.ac/institutes/grid.194645.b schema:alternateName University of Hong Kong
    158 schema:name Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong
    159 Department of Physiology, The University of Hong Kong, Pokfulam Road, Hong Kong
    160 rdf:type schema:Organization
     




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


    ...