Modeling Dual-Task Performance: Identifying Key Predictors Using Artificial Neural Networks.

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Bibliographic Details
Title: Modeling Dual-Task Performance: Identifying Key Predictors Using Artificial Neural Networks.
Authors: Mohammadzadeh Gonabadi A; Institute for Rehabilitation Science and Engineering, Madonna Rehabilitation Hospitals, Lincoln, NE 68506, USA.; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA., Fallahtafti F; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA., Heselton J; Department of Gerontology, University of Nebraska at Omaha, Omaha, NE 68182, USA., Myers SA; Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA.; Department of Surgery and Research Service, Nebraska-Western Iowa Veterans Affairs Medical Center, Omaha, NE 68105, USA., Siu KC; Department of Health and Rehabilitation Sciences, University of Nebraska Medical Center, Omaha, NE 68198, USA., Boron JB; Department of Gerontology, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Source: Biomimetics (Basel, Switzerland) [Biomimetics (Basel)] 2025 May 29; Vol. 10 (6). Date of Electronic Publication: 2025 May 29.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101719189 Publication Model: Electronic Cited Medium: Internet ISSN: 2313-7673 (Electronic) Linking ISSN: 23137673 NLM ISO Abbreviation: Biomimetics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2313-7673
DOI:10.3390/biomimetics10060351