Generating alerts from breathing pattern outliers

HIGHLIGHTS

  • who: Chloe Benmussa and colleagues from the School of Computer Science, Reichman University (IDC Herzliya), Herzliya , have published the research work: Generating Alerts from Breathing Pattern Outliers, in the Journal: Sensors 2022, 22, 6306. of /2022/
  • what: In terms of physiological signals the authors focus in this manuscript on monitoring patterns. The authors describe an analysis of rate patterns during activities including resting walking running and watching a movie. In this project, the authors focus on analysing breathing rates and patterns to statistically model them and infer alert situations. In the following sections the authors . . .

     

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