Video Processing for Remote Respiration Monitoring

Q4 Computer Science
D. Alinovi
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引用次数: 1

Abstract

Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events. For this reason, respiration needs to be carefully monitored in order to detect potential signs indicating possible changes of health conditions. In this work, novel techniques for the visualization and analysis of respiration by remote and non-invasive video monitoring, based on the study of breathing-related movements, are proposed. The lack of large video databases, associated with clinical data, essential for performance evaluation and optimization of the video processing-based algorithms, is also addressed; statistical models of respiration and apnea events are proposed together with proper simulators, useful to test the remote monitoring algorithms.
远程呼吸监测的视频处理
生命体征监测是医学诊断的重要工具。在基本生命参数中,呼吸频率(RR)作为可能发生的病理事件的指标起着重要作用。因此,需要仔细监测呼吸,以便发现表明健康状况可能发生变化的潜在迹象。在这项工作中,基于对呼吸相关运动的研究,提出了通过远程和非侵入性视频监测来可视化和分析呼吸的新技术。缺乏与临床数据相关的大型视频数据库,这对于基于视频处理的算法的性能评估和优化至关重要,也得到了解决;提出了呼吸和呼吸暂停事件的统计模型以及适当的模拟器,用于测试远程监测算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronic Letters on Computer Vision and Image Analysis
Electronic Letters on Computer Vision and Image Analysis Computer Science-Computer Vision and Pattern Recognition
CiteScore
2.50
自引率
0.00%
发文量
19
审稿时长
12 weeks
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