Applications of artificial neural nets in clinical biomechanics

Publication type:
Journal article
Metadata:
Autoren
  • WI Schöllhorn
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000224818300002&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1016/j.clinbiomech.2004.04.005
eISSN
1879-1271
Externe Identifier
  • Clarivate Analytics Document Solution ID: 867BY
  • PubMed Identifier: 15475120
ISSN
0268-0033
Ausgabe der Veröffentlichung
9
Zeitschrift
CLINICAL BIOMECHANICS
Paginierung
876 - 898
Datum der Veröffentlichung
2004
Status
Published
Titel
Applications of artificial neural nets in clinical biomechanics
Sub types
  • Review
Ausgabe der Zeitschrift
19

Data source: Web of Science (Lite)

Other metadata sources:
Autoren
  • WI Schöllhorn
DOI
10.1016/j.clinbiomech.2004.04.005
ISSN
0268-0033
Ausgabe der Veröffentlichung
9
Zeitschrift
Clinical Biomechanics
Sprache
en
Paginierung
876 - 898
Datum der Veröffentlichung
2004
Status
Published
Herausgeber
Elsevier BV
Herausgeber URL
http://dx.doi.org/10.1016/j.clinbiomech.2004.04.005
Datum der Datenerfassung
2024
Titel
Applications of artificial neural nets in clinical biomechanics
Ausgabe der Zeitschrift
19

Data source: Crossref

Abstract
The purpose of this article is to provide an overview of current applications of artificial neural networks in the area of clinical biomechanics. The body of literature on artificial neural networks grew intractably vast during the last 15 years. Conventional statistical models may present certain limitations that can be overcome by neural networks. Artificial neural networks in general are introduced, some limitations, and some proven benefits are discussed.
Addresses
  • Faculty for Psychology and Sport Science, University of Münster, Leonardo Campus 15, 48149 Münster, Germany. schoell@uni-muenster.de
Autoren
  • WI Schöllhorn
DOI
10.1016/j.clinbiomech.2004.04.005
eISSN
1879-1271
Externe Identifier
  • PubMed Identifier: 15475120
Open access
false
ISSN
0268-0033
Ausgabe der Veröffentlichung
9
Zeitschrift
Clinical biomechanics (Bristol, Avon)
Schlüsselwörter
  • Muscle, Skeletal
  • Diagnosis, Computer-Assisted
  • Gait
  • Therapy, Computer-Assisted
  • Clinical Medicine
  • Movement
  • Muscle Contraction
  • Algorithms
  • Models, Neurological
  • Research Design
  • Artificial Intelligence
  • Biomechanical Phenomena
  • Neural Networks, Computer
Sprache
eng
Medium
Print
Paginierung
876 - 898
Datum der Veröffentlichung
2004
Status
Published
Datum der Datenerfassung
2004
Titel
Applications of artificial neural nets in clinical biomechanics.
Sub types
  • Review
  • Journal Article
Ausgabe der Zeitschrift
19

Data source: Europe PubMed Central

Abstract
The purpose of this article is to provide an overview of current applications of artificial neural networks in the area of clinical biomechanics. The body of literature on artificial neural networks grew intractably vast during the last 15 years. Conventional statistical models may present certain limitations that can be overcome by neural networks. Artificial neural networks in general are introduced, some limitations, and some proven benefits are discussed.
Date of acceptance
2004
Autoren
  • WI Schöllhorn
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/15475120
DOI
10.1016/j.clinbiomech.2004.04.005
ISSN
0268-0033
Ausgabe der Veröffentlichung
9
Zeitschrift
Clin Biomech (Bristol, Avon)
Schlüsselwörter
  • Algorithms
  • Artificial Intelligence
  • Biomechanical Phenomena
  • Clinical Medicine
  • Diagnosis, Computer-Assisted
  • Gait
  • Models, Neurological
  • Movement
  • Muscle Contraction
  • Muscle, Skeletal
  • Neural Networks, Computer
  • Research Design
  • Therapy, Computer-Assisted
Sprache
eng
Country
England
Paginierung
876 - 898
PII
S0268003304000786
Datum der Veröffentlichung
2004
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2004
Titel
Applications of artificial neural nets in clinical biomechanics.
Sub types
  • Journal Article
  • Review
Ausgabe der Zeitschrift
19

Data source: PubMed

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