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Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

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Technology-aided assessment of sensorimotor function in early infancy.

Alessandro G Allievi¹, Tomoki Arichi², Anne L Gordon³

¹Human Robotics Group, Department of Bioengineering, Imperial College London , London , UK.

Frontiers in Neurology

|October 18, 2014

Summary

New technology-assisted methods can accurately assess infant sensorimotor function. Combining these tools with functional magnetic resonance imaging (fMRI) offers insights into neurodevelopmental impairments and aids early diagnosis.

Keywords:

MRI cerebral palsy developmental assessment functional MRI motor assessment robotic-assisted assessment

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Area of Science:

Neuroscience
Developmental Pediatrics
Biomedical Engineering

Background:

Accurate assessment of sensorimotor function in the first two years of childhood is crucial but challenging with current clinical methods.
Early infancy presents a critical window for intervention due to the brain's high capacity for neural plasticity.
Understanding neurodevelopmental impairments requires advanced techniques beyond traditional clinical evaluations.

Purpose of the Study:

To review current clinical methods and challenges in assessing infant motor function.
To discuss the potential benefits of technology-assisted assessment tools in early childhood.
To explore the integration of these tools with neuroimaging, specifically functional magnetic resonance imaging (fMRI), for deeper insights into brain processes.

Main Methods:

Review of existing clinical techniques for evaluating infant motor function.
Discussion of technology-assisted methods, including sensors and imaging.
Integration of functional magnetic resonance imaging (fMRI) with technology-assisted tools.

Main Results:

Current clinical methods for assessing infant sensorimotor function have limitations.
Technology-assisted methods offer enhanced accuracy and detailed information.
Combining technology-assisted tools with fMRI can illuminate intra-cerebral processes in neurodevelopmental impairment.

Conclusions:

Technology-assisted tools, especially when combined with fMRI, hold significant promise for early diagnosis of conditions like cerebral palsy.
These advanced methods can serve as biomarkers for monitoring therapeutic intervention efficacy.
Early diagnostic information derived from these tools is vital for timely clinical intervention in infants.