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Umakanth Katwa on Muck Rack

Umakanth Katwa

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Articles

PANDA pediatric arousal neural detection architecture

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By Arnav Gupta, Ayush Tripathi, Wolfgang Ganglberger, Samuel Waters, Haoqi Sun, Samaneh Nasiri, Katie Stone, Emmanuel Mignot, Dennis Hwang, Matthew Reyna, Lynn Marie Trotti, Gari Clifford, Kiran Maski, Robert Thomas, Umakanth Katwa
| Nature Verified
Abstract We developed and validated PANDA, a deep-learning model for pediatric arousal detection in polysomnography. PANDA uses a U-Net-style encoder-decoder architecture trained on 10-channel PSG signals with 17.5 min contextual windows and 2 Hz arousal outputs. The model was trained on 9150 PSGs from 7604 subjects, validated on 2455 PSGs from 2000 subjects, and evaluated on a held-out Boston Children’s Hospital test set of 3804 recordings from 3000 subjects.
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