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A Wearable Device Integrated with Deep Learning‐Based Algorithms for the Analysis of Breath Patterns

2023; Wiley; Volume: 5; Issue: 11 Linguagem: Inglês

10.1002/aisy.202370052

2640-4567

E. Alperay Tarim, Busra Erimez, Mehmet Degirmenci, H. Cumhur Tekin,

Obstructive Sleep Apnea Research

Breath Analysis In article number 2300174, E. Alperay Tarim, H. Cumhur Tekin, and co-workers present an innovative wearable device that utilizes artifi cial intelligence to monitor patients' breathing patterns. This system autonomously identifi es key respiratory patterns, including inhalation, exhalation, and instances of breathlessness, making it valuable for the diagnosis and monitoring of sleep apnea. [Cover art by Harun Resit El.]