Use of photoplethysmography to predict mortality in intensive care units

机译：使用光体积描记术预测重症监护病房的死亡率

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摘要

PurposeThe aim of this study was to evaluate and compare the capacity to predict hemodynamic variables obtained with photoplethysmography (PPG) and Acute Physiology and Chronic Health Evaluation (APACHE II) in patients hospitalized in the intensive care unit (ICU).

机译：目的本研究的目的是评估和比较预测在重症监护病房（ICU）住院的患者中通过光电容积描记法（PPG）和急性生理学和慢性健康评估（APACHE II）获得的血液动力学变量的预测能力。

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期刊名称 Vascular Health and Risk Management
作者
Kelser de Souza Kock; Jefferson Luiz Brum Marques;
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作者单位

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年(卷),期 2018(14),-1
年度 2018
页码 311–320
总页数 10
原文格式 PDF
正文语种
中图分类病理学;
关键词
photoplethysmography intensive care units computer-aided signal processing pulse wave analysis prognosis hemodynamic monitoring;

机译：光体积描记法;重症监护病房;计算机辅助信号处理;脉搏波分析;预后;血液动力学监测;

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专利

1. Use of photoplethysmography to predict mortality in intensive care units [J] . Kelser de Souza Kock., Jefferson Luiz Brum Marques Vascular Health and Risk Management . 2018,第4期

机译：使用光体积描记术预测重症监护病房的死亡率
2. Do Intensive Care Unit treatment modalities predict mortality in geriatric patients: An observational study from an Indian Intensive Care Unit [J] . Kanwalpreet Sodhi, Manender Kumar Singla, Anupam Shrivastava, Indian Journal of Critical Care Medicine . 2014,第12期

机译：重症监护病房的治疗方式是否可以预测老年患者的死亡率：来自印度重症监护病房的一项观察性研究
3. Reliability of intensive care unit admitting and comorbid diagnoses, race, elements of Acute Physiology and Chronic Health Evaluation II score, and predicted probability of mortality in an electronic intensive care unit database. [J] . Wenner JB, Norena M, Khan N Journal of critical care . 2009,第3期

机译：重症监护病房接受和合并诊断，种族，急性生理学和慢性健康评估II评分要素的可靠性，以及电子重症监护病房数据库中预测的死亡率概率。
4. Predictive Modelling for Cardiovascular Disease Mortality in Intensive Care Units [C] . Anh Thi Ngoc Vo, Trung Quoc Le, Trieu Nguyen Hai Le International Conference on the Development of Biomedical Engineering in Vietnam . 2020

机译：重症监护单位心血管疾病死亡率的预测模型
5. Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks [D] . Wilks, Asa. 2021

机译：预测经常性神经网络的重症监护记录中的住院内死亡率
6. Serum Procalcitonin Level and SOFA Score at Discharge from the Intensive Care Unit Predict Post-Intensive Care Unit Mortality: A Prospective Study [O] . Yosuke Matsumura, Taka-aki Nakada, Ryuzo Abe, -1

机译：重症监护病房出院时血清降钙素水平和SOFA评分预测重症监护病房死亡率：一项前瞻性研究
7. Use of photoplethysmography to predict mortality in intensive care units [O] . Kelser S Kock, Jefferson LB Marques 2018

机译：使用照相术以预测重症监护单位的死亡率

Use of photoplethysmography to predict mortality in intensive care units

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