most citedDeep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

eess.AS2019★ 1 cited

Deep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing

Hector E. Romero, Ning Ma, Guy J. Brown +2

Sleep-disordered breathing (SDB) is a serious and prevalent condition, and acoustic analysis via consumer devices (e.g. smartphones) offers a low-cost solution to screening for it.…