New research machine learning based sleep staging using MJM in AJRCCM journal

15 November 2021

A study by Le Dong et al. recently published in the American Journal of Respiratory and Critical Care Medicine aimed to develop, train, and then validate an artificial intelligence algorithm to stage sleep using a single sensor detecting mandibular movements.

This prospective study on 1,026 adults assessed Sunrise automatic analysis for sleep staging against polysomnography (PSG).

Findings indicate that machine learning analysis of mandibular movements identifies sleep stages with good agreement to that of individual manual scorers of PSG data.

This publication is a new milestone in building strong scientific evidence around Sunrise and the clinical utility of mandibular jaw movements.

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