New technology can automatically identify infants at risk of developing neuromotor diseases

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A team of researchers led by Huanyu “Larry” Cheng, the James L. Henderson, Jr. Memorial Associate Professor of Engineering Science and Mechanics (ESM) at Penn State, tested the use of wearable sensors paired with a “tiny” machine learning algorithm to automatically monitor and evaluate general movements in infants.