Video-based vital sign monitoring system of patients in intensive care unit

2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Pub Date : 2017-09-01 DOI:10.1109/SIBIRCON.2017.8109953

V. Kublanov, K. Purtov, M. Kontorovich

{"title":"Video-based vital sign monitoring system of patients in intensive care unit","authors":"V. Kublanov, K. Purtov, M. Kontorovich","doi":"10.1109/SIBIRCON.2017.8109953","DOIUrl":null,"url":null,"abstract":"In this paper, the video-based vital sign monitoring system is proposed to continuously evaluate breathing parameters, heart rate, heart rate variability, peripheral microvasculature state and psycho-emotion state. The system contains two low-cost Logitech C920 webcams with 640×480 pixel resolution and 30 Hz sampling frequency. They were placed at a distance of 80 cm above the patient. The analysis of patient functional state was carried out by using original software that automatically identifies physiological patterns: spontaneous breathing recovery during the artificial ventilation, presence and ratio of diaphragmatic and thoracic breathing, the frequency and adequacy of spontaneous breathing, moment of patient consciousness recovery, heart rate and heart rate variability, motor activity and muscle tone, sedation and analgesia quality of postoperative patients. The proposed system can be used as an additional diagnostic tool of non-invasive anesthesia equipment to obtain complex physiological information about the patient.","PeriodicalId":135870,"journal":{"name":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2017.8109953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

Abstract

In this paper, the video-based vital sign monitoring system is proposed to continuously evaluate breathing parameters, heart rate, heart rate variability, peripheral microvasculature state and psycho-emotion state. The system contains two low-cost Logitech C920 webcams with 640×480 pixel resolution and 30 Hz sampling frequency. They were placed at a distance of 80 cm above the patient. The analysis of patient functional state was carried out by using original software that automatically identifies physiological patterns: spontaneous breathing recovery during the artificial ventilation, presence and ratio of diaphragmatic and thoracic breathing, the frequency and adequacy of spontaneous breathing, moment of patient consciousness recovery, heart rate and heart rate variability, motor activity and muscle tone, sedation and analgesia quality of postoperative patients. The proposed system can be used as an additional diagnostic tool of non-invasive anesthesia equipment to obtain complex physiological information about the patient.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于视频的重症监护病人生命体征监测系统

本文提出了一种基于视频的生命体征监测系统，可对呼吸参数、心率、心率变异性、外周微血管状态和心理情绪状态进行连续监测。该系统包含两台低成本罗技C920网络摄像头，像素分辨率为640×480，采样频率为30hz。放置在患者上方80厘米处。患者功能状态分析采用独创的自动识别生理模式的软件:人工通气期间的自主呼吸恢复情况、横膈呼吸和胸廓呼吸的存在和比例、自主呼吸的频率和充分性、患者意识恢复时刻、心率和心率变异性、运动活动和肌肉张力、术后患者镇静和镇痛质量。该系统可作为非侵入性麻醉设备的附加诊断工具，以获取患者复杂的生理信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

自引率

0.00%

发文量