"BAM!" Depth-Based Body Analysis in Critical Care

被引：0

作者：

Martinez, Manuel ^{[1
]}

Schauerte, Boris ^{[1
]}

Stiefelhagen, Rainer ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, Inst Anthropomat, D-76131 Karlsruhe, Germany

来源：

COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PT I | 2013年 / 8047卷

关键词：

depth camera; critical care; monitoring; agitation; sleeping position;

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：

We investigate computer vision methods to monitor Intensive Care Units (ICU) and assist in sedation delivery and accident prevention. We propose the use of a Bed Aligned Map (BAM) to analyze the patient's body. We use a depth camera to localize the bed, estimate its surface and divide it into 10 cm x 10 cm cells. Here, the BAM represents the average cell height over the mattress. This depth-based BAM is independent of illumination and bed positioning, improving the consistency between patients. This representation allow us to develop metrics to estimate bed occupancy, body localization, body agitation and sleeping position. Experiments with 23 subjects show an accuracy in 4-level agitation tests of 88% and 73% in supine and fetal positions respectively, while sleeping position was recognized with a 100% accuracy in a 4-class test.

引用

页码：465 / 472

页数：8