Decision support for the intensive care

重症监护的决策支持

基本信息

  • 批准号:
    RGPIN-2019-06205
  • 负责人:
  • 金额:
    $ 2.4万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

Critically ill patients in the intensive care unit face life-threatening health conditions and thus, are continuously and closely monitored to enable prompt intervention in case of any sudden worsening of their condition. Monitoring involves acquiring and archiving a large number of signals and data over extended time intervals. Monitoring data includes vital signs, blood gas concentrations, ventilation parameters and various laboratory results, and physicians' notes. Monitoring also includes subjective visual assessments, performed by physicians, of several aspects of a patient's health. When visual assessment data is gathered there typically are no, less subjective, alternatives available to record patient state. Visual assessment includes: 1- the general motility of the patient; 2- the level of consciousness, determined through the evaluation of the patient's eyes movements; 3- any neurological deficit, done by evaluating the decrease in motility of one part of the body such as the leg, arm, or face; 4- the parameters of spontaneous non-mechanically ventilated respiration such as the frequency and the maximum inspired volume; 5- the movement induced by respiration such as the movement of the chest, abdomen, and other secondary muscles to detect and evaluate retractions; 6- and all skin aspects and color such as cyanosis, purpura, erythema, cutaneous necrosis, and burns. Visual monitoring, although widely employed, is nonetheless subjective and qualitative in nature. Physicians also evaluate the peripheral hypo-vascularization by touching and pressing a patient's extremities in order to assess their relative temperature. In fact, the heat distribution across a patient's body surface gives information about changes to the vascularization inside the body. More specifically, cold extremities (hands for instance) indicate the existence of a vascularization centralization which corresponds to a hyper-vascularization of the deep organs - heart, brain and kidneys - to the detriment of the superficial ones. Peripheral hypo-vascularization happens in situations of severe hemodynamic stress such as heart failures, severe infections, and massive bleedings. This evaluation is both subjective and qualitative, and is only possible when the physician is present at the patient's bedside. Our objective is to support the decisions made by physicians providing care to critically ill patients. We aim to use computer vision and artificial intelligence to help in the assessment of patients' distress in the intensive care unit. More specifically, we intend to focus on assessing patient's breathing distress, agitation, consciousness level, and skin temperature distribution using new developments in video acquisition and machine learning. Our research program will improve the care provided to critically ill patients, including those who are in remote regions, by providing continuous, and quantitative monitoring of their health distress situations.
重症监护室中的危重病人面临着危及生命的健康状况,因此,他们受到持续和密切的监测,以便在病情突然恶化时能够迅速采取干预措施。监控涉及在延长的时间间隔内获取和存档大量信号和数据。监测数据包括生命体征、血气浓度、通风参数和各种实验室结果,以及医生的记录。监测还包括由医生对患者健康的几个方面进行的主观视觉评估。当收集视觉评估数据时,通常没有主观性较低的替代方案可用于记录患者状态。视觉评估包括:1-患者的一般运动;2-意识水平,通过评估患者的眼睛运动确定;3-任何神经缺陷,通过评估身体某一部分,如腿、手臂或面部的运动性减少;4-自发非机械通风呼吸的参数,如频率和最大吸气量;5-呼吸引起的运动,如胸部、腹部和其他次级肌肉的运动,以检测和评估收缩;6-以及所有皮肤方面和颜色,如紫紫、红斑、皮肤坏死和烧伤。目视监测虽然被广泛使用,但在本质上是主观和定性的。医生还通过触摸和按压患者的四肢来评估外周血管减少的情况,以评估他们的相对温度。事实上,患者体表的热量分布提供了有关体内血管形成变化的信息。更具体地说,冰冷的四肢(例如手)表明血管集中的存在,这对应于深层器官--心脏、大脑和肾脏--的过度血管化,从而损害了浅层器官。在严重血流动力学应激的情况下,如心力衰竭、严重感染和大出血,就会发生外周血管减少。这种评估既是主观的,也是定性的,只有当医生在患者的床边时才有可能。我们的目标是支持医生为危重病人提供护理的决定。我们的目标是使用计算机视觉和人工智能来帮助评估重症监护病房患者的痛苦。更具体地说,我们打算利用视频采集和机器学习的新发展,专注于评估患者的呼吸窘迫、躁动、意识水平和皮肤温度分布。我们的研究计划将通过持续、定量地监测危重患者的健康状况,改善对危重患者的护理,包括那些在偏远地区的患者。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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Noumeir, Rita其他文献

Inflight Broadband Connectivity Using Cellular Networks
  • DOI:
    10.1109/access.2016.2537648
  • 发表时间:
    2016-01-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Tadayon, Navid;Kaddoum, Georges;Noumeir, Rita
  • 通讯作者:
    Noumeir, Rita
Arterial Partial Pressures of Carbon Dioxide Estimation Using Non-Invasive Parameters in Mechanically Ventilated Children
Infrared and 3D Skeleton Feature Fusion for RGB-D Action Recognition
  • DOI:
    10.1109/access.2020.3023599
  • 发表时间:
    2020-01-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    De Boissiere, Alban Main;Noumeir, Rita
  • 通讯作者:
    Noumeir, Rita
Vision-Based Fall Detection Using ST-GCN
  • DOI:
    10.1109/access.2021.3058219
  • 发表时间:
    2021-01-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Keskes, Oussema;Noumeir, Rita
  • 通讯作者:
    Noumeir, Rita
Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study
  • DOI:
    10.1371/journal.pone.0198921
  • 发表时间:
    2019-02-20
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Ghazal, Sam;Sauthier, Michael;Noumeir, Rita
  • 通讯作者:
    Noumeir, Rita

Noumeir, Rita的其他文献

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{{ truncateString('Noumeir, Rita', 18)}}的其他基金

Decision support for the intensive care
重症监护决策支持
  • 批准号:
    RGPIN-2019-06205
  • 财政年份:
    2022
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
  • 批准号:
    523637-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Decision support for the intensive care
重症监护的决策支持
  • 批准号:
    RGPIN-2019-06205
  • 财政年份:
    2020
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
  • 批准号:
    523637-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Decision support for the intensive care
重症监护的决策支持
  • 批准号:
    RGPIN-2019-06205
  • 财政年份:
    2019
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
  • 批准号:
    523637-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Medical Image Compression
医学图像压缩
  • 批准号:
    171073-2013
  • 财政年份:
    2017
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent surveillance for event detection
事件检测的智能监控
  • 批准号:
    498033-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Engage Plus Grants Program
Real-time telemedicine for emergency medical evacuation by air transportation
通过航空运输进行紧急医疗后送的实时远程医疗
  • 批准号:
    465644-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Medical Image Compression
医学图像压缩
  • 批准号:
    171073-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual

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Decision support for the intensive care
重症监护决策支持
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