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Infant Motor Behavior - Potential and Challenges for Advanced Sensing and Analysis of Multi-Dimensional Data

Labroots via YouTube

Overview

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Explore the potential of advanced sensing technologies for assessing infant motor development in this 30-minute webinar presented by Dr. Beth A. Smith from Children's Hospital Los Angeles. Learn about the limitations of current clinical assessment methods that rely on short, subjective observational scales and discover how wearable sensors can provide comprehensive, quantitative measurements of infant movement patterns across full days in natural environments. Examine the advantages of continuous monitoring over traditional "snapshot" assessments, including improved sensitivity and specificity for early identification of atypical developmental trajectories. Understand the challenges and limitations associated with implementing wearable sensor technology in infant populations, and explore the innovative potential of integrating movement data with electroencephalography measures to capture both behavioral and brain function simultaneously. Gain insights into how these advanced assessment methods could support more accurate early detection of developmental disabilities and enable more targeted early interventions to promote optimal learning outcomes. Discover the interdependent relationship between brain and motor development trajectories and how subtle differences between healthy infants and those at risk can be quantitatively assessed through multi-dimensional data analysis.

Syllabus

Infant Motor Behavior: Potential and Challenges for Advanced Sensing and Analysis of Multi...

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Labroots

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