Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG Signals View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11

AUTHORS

Revathi Sundarasekar, M. Thanjaivadivel, Gunasekaran Manogaran, Priyan Malarvizhi Kumar, R. Varatharajan, Naveen Chilamkurti, Ching-Hsien Hsu

ABSTRACT

In this paper, MODWT is used to decompose the Electrocardiography (ECG) signals and to identify the changes of R waves in the noisy input ECG signal. The MODWT is used to handle the arbitrary changes in the input signal. The R wave's detctected by the proposed framework is used by the doctors and careholders to take necessary action for the patients. MATLAB simulink model is used to develop the simulation model for the MODWT method. The performance of the MODWT based remote health monitoring system method is comparatively analyzed with other ECG monitoring approaches such as Haar Wavelet Transformation (HWT) and Discrete Wavelet Transform (DWT). Sensitivity, specificity, and Receiver Operating Characteristic (ROC) curve are calculated to evaluate the proposed Internet of Things with MODWT based ECG monitoring system. We have used MIT-BIH Arrythmia Database to perform the experiments. More... »

PAGES

228

References to SciGraph publications

  • 2017. Big Data Knowledge System in Healthcare in INTERNET OF THINGS AND BIG DATA TECHNOLOGIES FOR NEXT GENERATION HEALTHCARE
  • 2015. Assessment of Vaccination Strategies Using Fuzzy Multi-criteria Decision Making in PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON FUZZY AND NEURO COMPUTING (FANCCO - 2015)
  • 2017. Big Data Security Intelligence for Healthcare Industry 4.0 in CYBERSECURITY FOR INDUSTRY 4.0
  • 2009-05. Identities in the Future Internet of Things in WIRELESS PERSONAL COMMUNICATIONS
  • 2017-06-22. Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm in CLUSTER COMPUTING
  • 2017-06-22. A Gaussian process based big data processing framework in cluster computing environment in CLUSTER COMPUTING
  • 2017. Big Data Analytics in Healthcare Internet of Things in INNOVATIVE HEALTHCARE SYSTEMS FOR THE 21ST CENTURY
  • 2018-07. Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis in MULTIMEDIA TOOLS AND APPLICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10916-018-1093-4

    DOI

    http://dx.doi.org/10.1007/s10916-018-1093-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107553227

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30311011


    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/2008/1005", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Communications Technologies", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Technology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Priyadarshini Engineering College, Vellore, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sundarasekar", 
            "givenName": "Revathi", 
            "id": "sg:person.010754507044.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010754507044.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Veltech University, Chennai, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Thanjaivadivel", 
            "givenName": "M.", 
            "id": "sg:person.010041371060.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010041371060.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vellore Institute of Technology University", 
              "id": "https://www.grid.ac/institutes/grid.412813.d", 
              "name": [
                "VIT University, Vellore, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Manogaran", 
            "givenName": "Gunasekaran", 
            "id": "sg:person.014761767266.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014761767266.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vellore Institute of Technology University", 
              "id": "https://www.grid.ac/institutes/grid.412813.d", 
              "name": [
                "VIT University, Vellore, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumar", 
            "givenName": "Priyan Malarvizhi", 
            "id": "sg:person.010735573405.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010735573405.29"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Sri Ramanujar Engineering College, Chennai, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Varatharajan", 
            "givenName": "R.", 
            "id": "sg:person.012241702747.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012241702747.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "La Trobe University", 
              "id": "https://www.grid.ac/institutes/grid.1018.8", 
              "name": [
                "Latrobe University, Bundoora, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chilamkurti", 
            "givenName": "Naveen", 
            "id": "sg:person.015414524055.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015414524055.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chung Hua University", 
              "id": "https://www.grid.ac/institutes/grid.411655.2", 
              "name": [
                "Chung Hua University, Hsinchu, Taiwan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hsu", 
            "givenName": "Ching-Hsien", 
            "id": "sg:person.015205733341.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015205733341.10"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.3390/s16010088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004673086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-49736-5_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005055469", 
              "https://doi.org/10.1007/978-3-319-49736-5_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.future.2013.01.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011867666"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jclepro.2016.10.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017673424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11277-009-9697-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022581886", 
              "https://doi.org/10.1007/s11277-009-9697-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11277-009-9697-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022581886", 
              "https://doi.org/10.1007/s11277-009-9697-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.procs.2016.05.138", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024394262"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijid.2016.02.084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026062594"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/s16060825", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032828073"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-27212-2_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033589937", 
              "https://doi.org/10.1007/978-3-319-27212-2_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/s120100055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033959310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.comnet.2010.05.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044647344"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2897845.2897886", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048623746"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/jiot.2016.2566659", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061280855"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/lcomm.2011.022411.110120", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061348931"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mprv.2004.18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061418263"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mwc.2016.7721739", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061432905"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tii.2014.2300753", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061632439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tits.2015.2423667", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061658665"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/bigdata.2014.7004422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1079122039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijnurstu.2017.01.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083422761"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mcom.2017.1600374cm", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083643324"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mcom.2017.7841465", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083717969"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4018/ijaci.2017040106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084448506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-50660-9_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084768513", 
              "https://doi.org/10.1007/978-3-319-50660-9_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compeleceng.2017.04.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084817017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-55774-8_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085399555", 
              "https://doi.org/10.1007/978-3-319-55774-8_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11042-017-4768-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085761665", 
              "https://doi.org/10.1007/s11042-017-4768-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11042-017-4768-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085761665", 
              "https://doi.org/10.1007/s11042-017-4768-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10586-017-0982-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086124025", 
              "https://doi.org/10.1007/s10586-017-0982-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10586-017-0977-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086126886", 
              "https://doi.org/10.1007/s10586-017-0977-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compeleceng.2017.05.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091478191"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/impact.2016.7800025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093240727"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/itst.2011.6060042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093894237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/emeit.2011.6023763", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094141859"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/wf-iot.2014.6803166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094302431"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ccnc.2010.5421748", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094684244"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4018/978-1-5225-1941-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096035625"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-11", 
        "datePublishedReg": "2018-11-01", 
        "description": "In this paper, MODWT is used to decompose the Electrocardiography (ECG) signals and to identify the changes of R waves in the noisy input ECG signal. The MODWT is used to handle the arbitrary changes in the input signal. The R wave's detctected by the proposed framework is used by the doctors and careholders to take necessary action for the patients. MATLAB simulink model is used to develop the simulation model for the MODWT method. The performance of the MODWT based remote health monitoring system method is comparatively analyzed with other ECG monitoring approaches such as Haar Wavelet Transformation (HWT) and Discrete Wavelet Transform (DWT). Sensitivity, specificity, and Receiver Operating Characteristic (ROC) curve are calculated to evaluate the proposed Internet of Things with MODWT based ECG monitoring system. We have used MIT-BIH Arrythmia Database to perform the experiments.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10916-018-1093-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1088158", 
            "issn": [
              "0148-5598", 
              "1573-689X"
            ], 
            "name": "Journal of Medical Systems", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "11", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "42"
          }
        ], 
        "name": "Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG Signals", 
        "pagination": "228", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b736d4c9309bdf24d7513f47639cbfc676f97ba12987f00461d212117a2a9ec2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30311011"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "7806056"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10916-018-1093-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107553227"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10916-018-1093-4", 
          "https://app.dimensions.ai/details/publication/pub.1107553227"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T19:17", 
        "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_8678_00000571.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs10916-018-1093-4"
      }
    ]
     

    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/s10916-018-1093-4'

    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/s10916-018-1093-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10916-018-1093-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10916-018-1093-4'


     

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

    239 TRIPLES      21 PREDICATES      65 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10916-018-1093-4 schema:about anzsrc-for:10
    2 anzsrc-for:1005
    3 schema:author Ne0041c098f964f40b244307951ca467b
    4 schema:citation sg:pub.10.1007/978-3-319-27212-2_16
    5 sg:pub.10.1007/978-3-319-49736-5_7
    6 sg:pub.10.1007/978-3-319-50660-9_5
    7 sg:pub.10.1007/978-3-319-55774-8_10
    8 sg:pub.10.1007/s10586-017-0977-2
    9 sg:pub.10.1007/s10586-017-0982-5
    10 sg:pub.10.1007/s11042-017-4768-9
    11 sg:pub.10.1007/s11277-009-9697-0
    12 https://doi.org/10.1016/j.comnet.2010.05.010
    13 https://doi.org/10.1016/j.compeleceng.2017.04.006
    14 https://doi.org/10.1016/j.compeleceng.2017.05.035
    15 https://doi.org/10.1016/j.future.2013.01.010
    16 https://doi.org/10.1016/j.ijid.2016.02.084
    17 https://doi.org/10.1016/j.ijnurstu.2017.01.009
    18 https://doi.org/10.1016/j.jclepro.2016.10.006
    19 https://doi.org/10.1016/j.procs.2016.05.138
    20 https://doi.org/10.1109/bigdata.2014.7004422
    21 https://doi.org/10.1109/ccnc.2010.5421748
    22 https://doi.org/10.1109/emeit.2011.6023763
    23 https://doi.org/10.1109/impact.2016.7800025
    24 https://doi.org/10.1109/itst.2011.6060042
    25 https://doi.org/10.1109/jiot.2016.2566659
    26 https://doi.org/10.1109/lcomm.2011.022411.110120
    27 https://doi.org/10.1109/mcom.2017.1600374cm
    28 https://doi.org/10.1109/mcom.2017.7841465
    29 https://doi.org/10.1109/mprv.2004.18
    30 https://doi.org/10.1109/mwc.2016.7721739
    31 https://doi.org/10.1109/tii.2014.2300753
    32 https://doi.org/10.1109/tits.2015.2423667
    33 https://doi.org/10.1109/wf-iot.2014.6803166
    34 https://doi.org/10.1145/2897845.2897886
    35 https://doi.org/10.3390/s120100055
    36 https://doi.org/10.3390/s16010088
    37 https://doi.org/10.3390/s16060825
    38 https://doi.org/10.4018/978-1-5225-1941-6
    39 https://doi.org/10.4018/ijaci.2017040106
    40 schema:datePublished 2018-11
    41 schema:datePublishedReg 2018-11-01
    42 schema:description In this paper, MODWT is used to decompose the Electrocardiography (ECG) signals and to identify the changes of R waves in the noisy input ECG signal. The MODWT is used to handle the arbitrary changes in the input signal. The R wave's detctected by the proposed framework is used by the doctors and careholders to take necessary action for the patients. MATLAB simulink model is used to develop the simulation model for the MODWT method. The performance of the MODWT based remote health monitoring system method is comparatively analyzed with other ECG monitoring approaches such as Haar Wavelet Transformation (HWT) and Discrete Wavelet Transform (DWT). Sensitivity, specificity, and Receiver Operating Characteristic (ROC) curve are calculated to evaluate the proposed Internet of Things with MODWT based ECG monitoring system. We have used MIT-BIH Arrythmia Database to perform the experiments.
    43 schema:genre research_article
    44 schema:inLanguage en
    45 schema:isAccessibleForFree false
    46 schema:isPartOf N0f4bc6e6347f4007aae2c241038f0657
    47 Nb68a7ab0c8184536b07aee466f44040e
    48 sg:journal.1088158
    49 schema:name Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG Signals
    50 schema:pagination 228
    51 schema:productId N38240f1f027a4e17a7c2c8da90c43d51
    52 N95d88285e57d48d48b8ad2686072144a
    53 Nd557fc29204e4733baca6923d3a914b9
    54 Nf01689e9356d4db1a99413b50e488298
    55 Nff48002fd69f4f62831d8a5777289afb
    56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107553227
    57 https://doi.org/10.1007/s10916-018-1093-4
    58 schema:sdDatePublished 2019-04-10T19:17
    59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    60 schema:sdPublisher Ndba55f1f6b7f4f888477a6a51faff0f3
    61 schema:url https://link.springer.com/10.1007%2Fs10916-018-1093-4
    62 sgo:license sg:explorer/license/
    63 sgo:sdDataset articles
    64 rdf:type schema:ScholarlyArticle
    65 N09a378ec3e174571a04f825395d04afe rdf:first sg:person.015414524055.84
    66 rdf:rest N192cf1e2ee894c7cbca177470d8caf2a
    67 N0ca744cdb7414b1583488eb7c90a2724 rdf:first sg:person.014761767266.18
    68 rdf:rest Nac658c0ddd1347c0bd6a3148a2a3ed3a
    69 N0f4bc6e6347f4007aae2c241038f0657 schema:issueNumber 11
    70 rdf:type schema:PublicationIssue
    71 N192cf1e2ee894c7cbca177470d8caf2a rdf:first sg:person.015205733341.10
    72 rdf:rest rdf:nil
    73 N38240f1f027a4e17a7c2c8da90c43d51 schema:name dimensions_id
    74 schema:value pub.1107553227
    75 rdf:type schema:PropertyValue
    76 N3fa6893da50a45c58a43fb601938a1ea schema:name Sri Ramanujar Engineering College, Chennai, India
    77 rdf:type schema:Organization
    78 N576f0ab0dd0d41a8beb67ee4075622a9 rdf:first sg:person.010041371060.83
    79 rdf:rest N0ca744cdb7414b1583488eb7c90a2724
    80 N95d88285e57d48d48b8ad2686072144a schema:name doi
    81 schema:value 10.1007/s10916-018-1093-4
    82 rdf:type schema:PropertyValue
    83 Nac658c0ddd1347c0bd6a3148a2a3ed3a rdf:first sg:person.010735573405.29
    84 rdf:rest Nae392b51a91b45f89d95ed66386711a4
    85 Nae392b51a91b45f89d95ed66386711a4 rdf:first sg:person.012241702747.37
    86 rdf:rest N09a378ec3e174571a04f825395d04afe
    87 Nb68a7ab0c8184536b07aee466f44040e schema:volumeNumber 42
    88 rdf:type schema:PublicationVolume
    89 Nb6dc5a26ca724c0fabcd9f79771cace6 schema:name Priyadarshini Engineering College, Vellore, India
    90 rdf:type schema:Organization
    91 Nd557fc29204e4733baca6923d3a914b9 schema:name nlm_unique_id
    92 schema:value 7806056
    93 rdf:type schema:PropertyValue
    94 Ndba55f1f6b7f4f888477a6a51faff0f3 schema:name Springer Nature - SN SciGraph project
    95 rdf:type schema:Organization
    96 Ne0041c098f964f40b244307951ca467b rdf:first sg:person.010754507044.01
    97 rdf:rest N576f0ab0dd0d41a8beb67ee4075622a9
    98 Ne0de9beb678f49519ec503330d0602a7 schema:name Veltech University, Chennai, India
    99 rdf:type schema:Organization
    100 Nf01689e9356d4db1a99413b50e488298 schema:name readcube_id
    101 schema:value b736d4c9309bdf24d7513f47639cbfc676f97ba12987f00461d212117a2a9ec2
    102 rdf:type schema:PropertyValue
    103 Nff48002fd69f4f62831d8a5777289afb schema:name pubmed_id
    104 schema:value 30311011
    105 rdf:type schema:PropertyValue
    106 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
    107 schema:name Technology
    108 rdf:type schema:DefinedTerm
    109 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
    110 schema:name Communications Technologies
    111 rdf:type schema:DefinedTerm
    112 sg:journal.1088158 schema:issn 0148-5598
    113 1573-689X
    114 schema:name Journal of Medical Systems
    115 rdf:type schema:Periodical
    116 sg:person.010041371060.83 schema:affiliation Ne0de9beb678f49519ec503330d0602a7
    117 schema:familyName Thanjaivadivel
    118 schema:givenName M.
    119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010041371060.83
    120 rdf:type schema:Person
    121 sg:person.010735573405.29 schema:affiliation https://www.grid.ac/institutes/grid.412813.d
    122 schema:familyName Kumar
    123 schema:givenName Priyan Malarvizhi
    124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010735573405.29
    125 rdf:type schema:Person
    126 sg:person.010754507044.01 schema:affiliation Nb6dc5a26ca724c0fabcd9f79771cace6
    127 schema:familyName Sundarasekar
    128 schema:givenName Revathi
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010754507044.01
    130 rdf:type schema:Person
    131 sg:person.012241702747.37 schema:affiliation N3fa6893da50a45c58a43fb601938a1ea
    132 schema:familyName Varatharajan
    133 schema:givenName R.
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012241702747.37
    135 rdf:type schema:Person
    136 sg:person.014761767266.18 schema:affiliation https://www.grid.ac/institutes/grid.412813.d
    137 schema:familyName Manogaran
    138 schema:givenName Gunasekaran
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014761767266.18
    140 rdf:type schema:Person
    141 sg:person.015205733341.10 schema:affiliation https://www.grid.ac/institutes/grid.411655.2
    142 schema:familyName Hsu
    143 schema:givenName Ching-Hsien
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015205733341.10
    145 rdf:type schema:Person
    146 sg:person.015414524055.84 schema:affiliation https://www.grid.ac/institutes/grid.1018.8
    147 schema:familyName Chilamkurti
    148 schema:givenName Naveen
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015414524055.84
    150 rdf:type schema:Person
    151 sg:pub.10.1007/978-3-319-27212-2_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033589937
    152 https://doi.org/10.1007/978-3-319-27212-2_16
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/978-3-319-49736-5_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005055469
    155 https://doi.org/10.1007/978-3-319-49736-5_7
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/978-3-319-50660-9_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084768513
    158 https://doi.org/10.1007/978-3-319-50660-9_5
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/978-3-319-55774-8_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085399555
    161 https://doi.org/10.1007/978-3-319-55774-8_10
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s10586-017-0977-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086126886
    164 https://doi.org/10.1007/s10586-017-0977-2
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s10586-017-0982-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086124025
    167 https://doi.org/10.1007/s10586-017-0982-5
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/s11042-017-4768-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085761665
    170 https://doi.org/10.1007/s11042-017-4768-9
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/s11277-009-9697-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022581886
    173 https://doi.org/10.1007/s11277-009-9697-0
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1016/j.comnet.2010.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044647344
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/j.compeleceng.2017.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084817017
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1016/j.compeleceng.2017.05.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091478191
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1016/j.future.2013.01.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011867666
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/j.ijid.2016.02.084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026062594
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1016/j.ijnurstu.2017.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083422761
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1016/j.jclepro.2016.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017673424
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1016/j.procs.2016.05.138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024394262
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1109/bigdata.2014.7004422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079122039
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1109/ccnc.2010.5421748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094684244
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1109/emeit.2011.6023763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094141859
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1109/impact.2016.7800025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093240727
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1109/itst.2011.6060042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093894237
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1109/jiot.2016.2566659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061280855
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1109/lcomm.2011.022411.110120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061348931
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1109/mcom.2017.1600374cm schema:sameAs https://app.dimensions.ai/details/publication/pub.1083643324
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1109/mcom.2017.7841465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083717969
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1109/mprv.2004.18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061418263
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1109/mwc.2016.7721739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061432905
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1109/tii.2014.2300753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061632439
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1109/tits.2015.2423667 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061658665
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1109/wf-iot.2014.6803166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094302431
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1145/2897845.2897886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048623746
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.3390/s120100055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033959310
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.3390/s16010088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004673086
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.3390/s16060825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032828073
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.4018/978-1-5225-1941-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096035625
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.4018/ijaci.2017040106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084448506
    230 rdf:type schema:CreativeWork
    231 https://www.grid.ac/institutes/grid.1018.8 schema:alternateName La Trobe University
    232 schema:name Latrobe University, Bundoora, Australia
    233 rdf:type schema:Organization
    234 https://www.grid.ac/institutes/grid.411655.2 schema:alternateName Chung Hua University
    235 schema:name Chung Hua University, Hsinchu, Taiwan
    236 rdf:type schema:Organization
    237 https://www.grid.ac/institutes/grid.412813.d schema:alternateName Vellore Institute of Technology University
    238 schema:name VIT University, Vellore, India
    239 rdf:type schema:Organization
     




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


    ...