基于视频的病人监护系统-该系统在重症监护病房的应用

V. Kublanov, K. Purtov, M. Kontorovich
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引用次数: 0

摘要

本文介绍了一种基于视频的重症监护病房生理参数和患者状态监测系统。它可以测量胸部和腹部的呼吸运动、远程脉搏波信号、组织灌注、患者活动和心理情绪状态的变化。因此,该系统提供了一个全面的评估病人的状态没有接触。该系统可在重症监护病房的常规照明条件下工作,由一台装有专用软件的个人电脑和两个低成本罗技C920网络摄像头组成,摄像头带有RGB传感器(每通道8位),采样频率为30 Hz,分辨率为640x480像素。网络摄像头被放置在病人身体上方80厘米处。该软件提供心理生理参数的自动评估,并确定以下模式:心率、心率变异性、心脏骤停和心律失常、呼吸频率、自主呼吸恢复、呼吸肌张力和患者意识恢复、运动活动和通气参数的控制。该系统可作为麻醉设备的附加诊断工具,用于重症监护病房的非侵入性患者监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video-based Patient Monitoring System - Application of the System in Intensive Care Unit
: The paper presents the video-based monitoring system to assess the physiological parameters and patient state in intensive care unit. It allows to measure thoracic and abdominal breathing movements, remote plethysmography signals, tissue perfusion, patient activity and changes in psycho-emotional state. Thus, the system provides a comprehensive assessment of patient state without contact. The system works in usual illumination conditions of intensive care unit and consists of a personal computer with specialized software and two low-cost Logitech C920 webcams with RGB sensors (8 bit per channel), 30 Hz sampling frequency and 640x480 pixel resolution. The webcams were placed at a distance of 80 cm above the patient’s body. The software provides automatic assessment of psychophysiological parameters and determination the following patterns: heart rate, heart rate variability, asystole and arrhythmias, breathing rate, spontaneous breathing recovery, breathing muscle tone and patient consciousness recovery, motor activity and control of ventilation parameters. The proposed system can be used as an additional diagnostic tool of anesthesia equipment for non-invasive patient monitoring in intensive care unit.
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