Instantaneous frequency from Hilbert-Huang transformation of digital volume pulse as indicator of diabetes and arterial stiffness in upper-middle-aged subjects View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Hai-Cheng Wei, Ming-Xia Xiao, Hong-Yu Chen, Yun-Qin Li, Hsien-Tsai Wu, Cheuk-Kwan Sun

ABSTRACT

To investigate the value of decomposed short-time digital volume pulse (DVP) signals in discerning systemic vascular anomaly in diabetic patients, demographic and anthropometric parameters, serum lipid profile, fasting blood glucose and glycated hemoglobin (HbA1c) levels were obtained from 29 healthy adults (Group 1) and 29 age-matched type 2 diabetes mellitus patients (Group 2). Six-second DVP signals from right index finger acquired through photoplethysmography were decomposed using ensemble empirical mode decomposition. Using one intrinsic mode function (IMF5), stiffness index (SI) and instantaneous energy of maximal energy (fEmax) were obtained. Other indicators of arterial stiffness, including electrocardiogram-pulse wave velocity of foot (ECG-PWVfoot), crest time (CT) and crest time ratio (CTR), were obtained from the testing subjects for comparison. The mean body weight, body mass index, waist circumference, HbA1c and fasting blood sugar levels were higher in Group 2 than those in Group 1, whereas values of systolic and diastolic blood pressure were lower in Group 2 than those in Group 1. SI and fEmax were significantly higher in Group 2 than those in Group 1. Moreover, fEmax was positively associated with HbA1c concentration, CT and SI in Group 2 (p < 0.05) but not in Group 1. When all subjects were considered, fEmax was highly significantly associated with HbA1c and fasting blood sugar levels, and SI (all p < 0.001). After Hilbert-Huang transformation, short-time DVP signals could give significant information on arterial stiffness and vascular anomaly in diabetic patients. More... »

PAGES

15771

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-34091-6

DOI

http://dx.doi.org/10.1038/s41598-018-34091-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107733542

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30361528


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "North Minzu University", 
          "id": "https://www.grid.ac/institutes/grid.464238.f", 
          "name": [
            "School of Electrical and Information Engineering, North Minzu University, No. 204 North \u2013 Wenchang St., Xixia District, 750021, Yinchuan, Ningxia, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wei", 
        "givenName": "Hai-Cheng", 
        "id": "sg:person.010726017010.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010726017010.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hefei University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.256896.6", 
          "name": [
            "School of Electrical and Information Engineering, North Minzu University, No. 204 North \u2013 Wenchang St., Xixia District, 750021, Yinchuan, Ningxia, China", 
            "School of Computer and Information, Hefei University of Technology, No. 193, Tunxi Rd., 230009, Hefei, Anhui, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiao", 
        "givenName": "Ming-Xia", 
        "id": "sg:person.010130436410.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010130436410.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "North Minzu University", 
          "id": "https://www.grid.ac/institutes/grid.464238.f", 
          "name": [
            "School of Electrical and Information Engineering, North Minzu University, No. 204 North \u2013 Wenchang St., Xixia District, 750021, Yinchuan, Ningxia, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Hong-Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "North Minzu University", 
          "id": "https://www.grid.ac/institutes/grid.464238.f", 
          "name": [
            "School of Electrical and Information Engineering, North Minzu University, No. 204 North \u2013 Wenchang St., Xixia District, 750021, Yinchuan, Ningxia, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yun-Qin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Dong Hwa University", 
          "id": "https://www.grid.ac/institutes/grid.260567.0", 
          "name": [
            "Department of Electrical Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., 97401, Shoufeng, Hualien, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Hsien-Tsai", 
        "id": "sg:person.0752233530.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752233530.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "E-Da Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414686.9", 
          "name": [
            "Department of Emergency Medicine, E-Da Hospital, I-Shou University School of Medicine for International Students, No. 1, Yida Road, Jiaosu Village, Yanchao District, 82445, Kaohsiung City, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "Cheuk-Kwan", 
        "id": "sg:person.01147534056.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147534056.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12889-015-2538-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006638644", 
          "https://doi.org/10.1186/s12889-015-2538-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10916-010-9469-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008683272", 
          "https://doi.org/10.1007/s10916-010-9469-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2147/ibpc.s34423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008876565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs1030371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015597240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs1030371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015597240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.medengphy.2010.02.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024367066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2013/231762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028071891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.70.1231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029067715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ultrasmedbio.2009.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037191206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.3.1301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038455151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.9.4816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039553374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/08037051.2012.681853", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041528429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.38922.650521.80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042788120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2015.0197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049275997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2010.08.075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051403875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.79.066705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060739140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.79.066705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060739140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jbhi.2016.2515938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061277211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.2010.2084087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061528171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.2011.2157155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061528429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.2011.2159975", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061528468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1479164116688870", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083940916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1479164116688870", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083940916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/e19030132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084435224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/e19040145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084435238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21037/cdt.2017.03.06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085267090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/ijcp.12994", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091385576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12944-017-0579-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092063793", 
          "https://doi.org/10.1186/s12944-017-0579-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10916-018-0901-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100620517", 
          "https://doi.org/10.1007/s10916-018-0901-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "To investigate the value of decomposed short-time digital volume pulse (DVP) signals in discerning systemic vascular anomaly in diabetic patients, demographic and anthropometric parameters, serum lipid profile, fasting blood glucose and glycated hemoglobin (HbA1c) levels were obtained from 29 healthy adults (Group 1) and 29 age-matched type 2 diabetes mellitus patients (Group 2). Six-second DVP signals from right index finger acquired through photoplethysmography were decomposed using ensemble empirical mode decomposition. Using one intrinsic mode function (IMF5), stiffness index (SI) and instantaneous energy of maximal energy (fEmax) were obtained. Other indicators of arterial stiffness, including electrocardiogram-pulse wave velocity of foot (ECG-PWVfoot), crest time (CT) and crest time ratio (CTR), were obtained from the testing subjects for comparison. The mean body weight, body mass index, waist circumference, HbA1c and fasting blood sugar levels were higher in Group 2 than those in Group 1, whereas values of systolic and diastolic blood pressure were lower in Group 2 than those in Group 1. SI and fEmax were significantly higher in Group 2 than those in Group 1. Moreover, fEmax was positively associated with HbA1c concentration, CT and SI in Group 2 (p\u2009<\u20090.05) but not in Group 1. When all subjects were considered, fEmax was highly significantly associated with HbA1c and fasting blood sugar levels, and SI (all p\u2009<\u20090.001). After Hilbert-Huang transformation, short-time DVP signals could give significant information on arterial stiffness and vascular anomaly in diabetic patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-34091-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Instantaneous frequency from Hilbert-Huang transformation of digital volume pulse as indicator of diabetes and arterial stiffness in upper-middle-aged subjects", 
    "pagination": "15771", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3b116082c61c697516604f4235cc0b805ab971c33125de474c095fe8e1ad36c8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30361528"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-34091-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107733542"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-34091-6", 
      "https://app.dimensions.ai/details/publication/pub.1107733542"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:40", 
    "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_8672_00000573.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-34091-6"
  }
]
 

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.10.1038/s41598-018-34091-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-34091-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-34091-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-34091-6'


 

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

193 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-34091-6 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N0060631f29ea48b78ea1ab5cba75466c
4 schema:citation sg:pub.10.1007/s10916-010-9469-0
5 sg:pub.10.1007/s10916-018-0901-1
6 sg:pub.10.1186/s12889-015-2538-z
7 sg:pub.10.1186/s12944-017-0579-2
8 https://doi.org/10.1016/j.atherosclerosis.2010.08.075
9 https://doi.org/10.1016/j.medengphy.2010.02.022
10 https://doi.org/10.1016/j.ultrasmedbio.2009.08.003
11 https://doi.org/10.1042/cs1030371
12 https://doi.org/10.1073/pnas.95.3.1301
13 https://doi.org/10.1073/pnas.95.9.4816
14 https://doi.org/10.1098/rsta.2015.0197
15 https://doi.org/10.1103/physreve.79.066705
16 https://doi.org/10.1109/jbhi.2016.2515938
17 https://doi.org/10.1109/tbme.2010.2084087
18 https://doi.org/10.1109/tbme.2011.2157155
19 https://doi.org/10.1109/tbme.2011.2159975
20 https://doi.org/10.1111/ijcp.12994
21 https://doi.org/10.1136/bmj.38922.650521.80
22 https://doi.org/10.1155/2013/231762
23 https://doi.org/10.1177/1479164116688870
24 https://doi.org/10.1253/circj.70.1231
25 https://doi.org/10.21037/cdt.2017.03.06
26 https://doi.org/10.2147/ibpc.s34423
27 https://doi.org/10.3109/08037051.2012.681853
28 https://doi.org/10.3390/e19030132
29 https://doi.org/10.3390/e19040145
30 schema:datePublished 2018-12
31 schema:datePublishedReg 2018-12-01
32 schema:description To investigate the value of decomposed short-time digital volume pulse (DVP) signals in discerning systemic vascular anomaly in diabetic patients, demographic and anthropometric parameters, serum lipid profile, fasting blood glucose and glycated hemoglobin (HbA1c) levels were obtained from 29 healthy adults (Group 1) and 29 age-matched type 2 diabetes mellitus patients (Group 2). Six-second DVP signals from right index finger acquired through photoplethysmography were decomposed using ensemble empirical mode decomposition. Using one intrinsic mode function (IMF5), stiffness index (SI) and instantaneous energy of maximal energy (f<sub>Emax</sub>) were obtained. Other indicators of arterial stiffness, including electrocardiogram-pulse wave velocity of foot (ECG-PWV<sub>foot</sub>), crest time (CT) and crest time ratio (CTR), were obtained from the testing subjects for comparison. The mean body weight, body mass index, waist circumference, HbA1c and fasting blood sugar levels were higher in Group 2 than those in Group 1, whereas values of systolic and diastolic blood pressure were lower in Group 2 than those in Group 1. SI and f<sub>Emax</sub> were significantly higher in Group 2 than those in Group 1. Moreover, f<sub>Emax</sub> was positively associated with HbA1c concentration, CT and SI in Group 2 (p &lt; 0.05) but not in Group 1. When all subjects were considered, f<sub>Emax</sub> was highly significantly associated with HbA1c and fasting blood sugar levels, and SI (all p &lt; 0.001). After Hilbert-Huang transformation, short-time DVP signals could give significant information on arterial stiffness and vascular anomaly in diabetic patients.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N3f6da0c7dc344fe185ed171000298659
37 Nfdf9d45dae924ed58a1ce41f56b1b7fe
38 sg:journal.1045337
39 schema:name Instantaneous frequency from Hilbert-Huang transformation of digital volume pulse as indicator of diabetes and arterial stiffness in upper-middle-aged subjects
40 schema:pagination 15771
41 schema:productId N1ba1a62880964c7d8e0a4419c667b892
42 N32532485f65e40d091d7e27971968719
43 N6377af1ca35a444abaa3c6862eb97c93
44 N6c040ff0805342bba1fee2fe0906b873
45 Na1047f82209f43e189d0502da3d9a0e8
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107733542
47 https://doi.org/10.1038/s41598-018-34091-6
48 schema:sdDatePublished 2019-04-10T17:40
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N838344fe346d43a986e1aa2f65468dd5
51 schema:url https://www.nature.com/articles/s41598-018-34091-6
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N0060631f29ea48b78ea1ab5cba75466c rdf:first sg:person.010726017010.40
56 rdf:rest N3d7f14701f3d430f886ef6aa6b162b68
57 N0b3df6959a4647eea1a2af89cc1b7718 rdf:first Nc12afef6f8a841938b387062f7ba239b
58 rdf:rest N91f76a6850b74a6c945825c4356d66d8
59 N1ba1a62880964c7d8e0a4419c667b892 schema:name dimensions_id
60 schema:value pub.1107733542
61 rdf:type schema:PropertyValue
62 N32532485f65e40d091d7e27971968719 schema:name readcube_id
63 schema:value 3b116082c61c697516604f4235cc0b805ab971c33125de474c095fe8e1ad36c8
64 rdf:type schema:PropertyValue
65 N3d7f14701f3d430f886ef6aa6b162b68 rdf:first sg:person.010130436410.25
66 rdf:rest N0b3df6959a4647eea1a2af89cc1b7718
67 N3f6da0c7dc344fe185ed171000298659 schema:issueNumber 1
68 rdf:type schema:PublicationIssue
69 N6377af1ca35a444abaa3c6862eb97c93 schema:name doi
70 schema:value 10.1038/s41598-018-34091-6
71 rdf:type schema:PropertyValue
72 N674fa35a43634d8387aebe23a51c96e7 rdf:first sg:person.0752233530.14
73 rdf:rest Nfef54df4b37b42f4b42657a50aa7208a
74 N6c040ff0805342bba1fee2fe0906b873 schema:name pubmed_id
75 schema:value 30361528
76 rdf:type schema:PropertyValue
77 N838344fe346d43a986e1aa2f65468dd5 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N91f76a6850b74a6c945825c4356d66d8 rdf:first Nfc667aca9ed2440d9a3f42ca3736fbe7
80 rdf:rest N674fa35a43634d8387aebe23a51c96e7
81 Na1047f82209f43e189d0502da3d9a0e8 schema:name nlm_unique_id
82 schema:value 101563288
83 rdf:type schema:PropertyValue
84 Nc12afef6f8a841938b387062f7ba239b schema:affiliation https://www.grid.ac/institutes/grid.464238.f
85 schema:familyName Chen
86 schema:givenName Hong-Yu
87 rdf:type schema:Person
88 Nfc667aca9ed2440d9a3f42ca3736fbe7 schema:affiliation https://www.grid.ac/institutes/grid.464238.f
89 schema:familyName Li
90 schema:givenName Yun-Qin
91 rdf:type schema:Person
92 Nfdf9d45dae924ed58a1ce41f56b1b7fe schema:volumeNumber 8
93 rdf:type schema:PublicationVolume
94 Nfef54df4b37b42f4b42657a50aa7208a rdf:first sg:person.01147534056.51
95 rdf:rest rdf:nil
96 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
97 schema:name Medical and Health Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
100 schema:name Clinical Sciences
101 rdf:type schema:DefinedTerm
102 sg:journal.1045337 schema:issn 2045-2322
103 schema:name Scientific Reports
104 rdf:type schema:Periodical
105 sg:person.010130436410.25 schema:affiliation https://www.grid.ac/institutes/grid.256896.6
106 schema:familyName Xiao
107 schema:givenName Ming-Xia
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010130436410.25
109 rdf:type schema:Person
110 sg:person.010726017010.40 schema:affiliation https://www.grid.ac/institutes/grid.464238.f
111 schema:familyName Wei
112 schema:givenName Hai-Cheng
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010726017010.40
114 rdf:type schema:Person
115 sg:person.01147534056.51 schema:affiliation https://www.grid.ac/institutes/grid.414686.9
116 schema:familyName Sun
117 schema:givenName Cheuk-Kwan
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147534056.51
119 rdf:type schema:Person
120 sg:person.0752233530.14 schema:affiliation https://www.grid.ac/institutes/grid.260567.0
121 schema:familyName Wu
122 schema:givenName Hsien-Tsai
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752233530.14
124 rdf:type schema:Person
125 sg:pub.10.1007/s10916-010-9469-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008683272
126 https://doi.org/10.1007/s10916-010-9469-0
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/s10916-018-0901-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100620517
129 https://doi.org/10.1007/s10916-018-0901-1
130 rdf:type schema:CreativeWork
131 sg:pub.10.1186/s12889-015-2538-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1006638644
132 https://doi.org/10.1186/s12889-015-2538-z
133 rdf:type schema:CreativeWork
134 sg:pub.10.1186/s12944-017-0579-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092063793
135 https://doi.org/10.1186/s12944-017-0579-2
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.atherosclerosis.2010.08.075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051403875
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.medengphy.2010.02.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024367066
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.ultrasmedbio.2009.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037191206
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1042/cs1030371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015597240
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1073/pnas.95.3.1301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038455151
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1073/pnas.95.9.4816 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039553374
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1098/rsta.2015.0197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049275997
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1103/physreve.79.066705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060739140
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/jbhi.2016.2515938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061277211
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/tbme.2010.2084087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061528171
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1109/tbme.2011.2157155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061528429
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1109/tbme.2011.2159975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061528468
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1111/ijcp.12994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091385576
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1136/bmj.38922.650521.80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042788120
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1155/2013/231762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028071891
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1177/1479164116688870 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083940916
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1253/circj.70.1231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029067715
170 rdf:type schema:CreativeWork
171 https://doi.org/10.21037/cdt.2017.03.06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085267090
172 rdf:type schema:CreativeWork
173 https://doi.org/10.2147/ibpc.s34423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008876565
174 rdf:type schema:CreativeWork
175 https://doi.org/10.3109/08037051.2012.681853 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041528429
176 rdf:type schema:CreativeWork
177 https://doi.org/10.3390/e19030132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084435224
178 rdf:type schema:CreativeWork
179 https://doi.org/10.3390/e19040145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084435238
180 rdf:type schema:CreativeWork
181 https://www.grid.ac/institutes/grid.256896.6 schema:alternateName Hefei University of Technology
182 schema:name School of Computer and Information, Hefei University of Technology, No. 193, Tunxi Rd., 230009, Hefei, Anhui, China
183 School of Electrical and Information Engineering, North Minzu University, No. 204 North – Wenchang St., Xixia District, 750021, Yinchuan, Ningxia, China
184 rdf:type schema:Organization
185 https://www.grid.ac/institutes/grid.260567.0 schema:alternateName National Dong Hwa University
186 schema:name Department of Electrical Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., 97401, Shoufeng, Hualien, Taiwan
187 rdf:type schema:Organization
188 https://www.grid.ac/institutes/grid.414686.9 schema:alternateName E-Da Hospital
189 schema:name Department of Emergency Medicine, E-Da Hospital, I-Shou University School of Medicine for International Students, No. 1, Yida Road, Jiaosu Village, Yanchao District, 82445, Kaohsiung City, Taiwan
190 rdf:type schema:Organization
191 https://www.grid.ac/institutes/grid.464238.f schema:alternateName North Minzu University
192 schema:name School of Electrical and Information Engineering, North Minzu University, No. 204 North – Wenchang St., Xixia District, 750021, Yinchuan, Ningxia, China
193 rdf:type schema:Organization
 




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


...