Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea

被引：0

作者：

Hamnvik, Sondre ^{[1
]}

Bernabe, Pierre ^{[2
]}

Sen, Sagar ^{[2
]}

机构：

[1] Univ Oslo, Dept Informat, Oslo, Norway

[2] Simula Res Lab, PB 135, N-1325 Lysaker, Norway

来源：

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2020年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Obstructive sleep apnea is a serious sleep disorder that affects an estimated one billion adults worldwide. It causes breathing to repeatedly stop and start during sleep which over years increases the risk of hypertension, heart disease, stroke, Alzheimer's, and cancer. In this demo, we present Yolo4Apnea a deep learning system extending You Only Look Once (Yolo) system to detect sleep apnea events from abdominal breathing patterns in real-time enabling immediate awareness and action. Abdominal breathing is measured using a respiratory inductance plethysmography sensor worn around the stomach. The source code is available at https://github.com/simula-vias/Yolo4Apnea

引用

页码：5234 / 5236

页数：3

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