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

Dual-task paradigms that combine cognitive and motor tasks offer a valuable lens for detecting subtle impairments in cognitive and physical functioning, especially in older adults. This study used artificial neural network (ANN) modeling to predict clinical, cognitive, and psychosocial outcomes from...

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Bibliographic Details
Main Authors:	Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith Heselton, Sara A. Myers, Ka-Chun Siu, Julie Blaskewicz Boron
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Biomimetics
Subjects:	dual-task performance artificial neural network (ANN) cognitive-motor integration gait analysis timing speech-linguistic features
Online Access:	https://www.mdpi.com/2313-7673/10/6/351
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Modeling Dual-Task Performance: Identifying Key Predictors Using Artificial Neural Networks

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