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Detection of Infant Motor Activity During Spontaneous Kicking Movements for Term and Preterm Infants Using Inertial

Katelyn E Fry, Yu-Ping Chen, Ayanna Howard

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
    PubMed

    Insights

    Researchers developed a new method using IMU sensors to track infant kicking, an early motor skill. This technique aids in detecting potential neuromotor issues outside clinical settings.

    Area of Science:

    • Pediatrics
    • Neurology
    • Biomedical Engineering

    Background:

    • Spontaneous infant kicking is a key early motor skill.
    • Abnormalities in kicking can indicate future neuromotor dysfunction.
    • Current detection methods are limited to clinical observation.

    Purpose of the Study:

    • To develop a non-clinical method for observing infant spontaneous kicking.
    • To quantify kicking activity using wearable sensors.
    • To establish a baseline for detecting neuromotor abnormalities.

    Main Methods:

    • Attaching Inertial Measurement Unit (IMU) sensors to infant leg segments.
    • Developing an activity detection algorithm to process sensor data.
    • Collecting kicking data from term and low-risk preterm infants.

    Main Results:

    • Successfully quantified spontaneous kicking activity using IMU data.
    • Demonstrated the feasibility of extended, non-clinical monitoring.
    • Collected preliminary data from a cohort of infants.

    Conclusions:

    • The IMU sensor and algorithm method provides a viable tool for monitoring infant motor development.
    • This approach can facilitate early detection of potential neuromotor issues.
    • Further research will refine the algorithm and expand data collection.

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