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Predicting Electrocardiogram and Arterial Blood Pressure Waveforms with Different Echo State Network Architectures.

机译：用不同的回声状态网络结构预测心电图和动脉血压波形。

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Alarm fatigue caused by false alarms and alerts is an extremely important issue for the medical staff in Intensive Care Units. The ability to predict electrocardiogram and arterial blood pressure waveforms can potentially help the staff and hospital systems better classify a patient's waveforms and subsequent alarms. This paper explores the use of Echo State Networks, a specific type of neural network for mining, understanding, and predicting electrocardiogram and arterial blood pressure waveforms. Several network architectures are designed and evaluated. The results show the utility of these echo state networks, particularly ones with larger integrated reservoirs, for predicting electrocardiogram waveforms and the adaptability of such models across individuals. The work presented here offers a unique approach for understanding and predicting a patient's waveforms in order to potentially improve alarm generation. We conclude with a brief discussion of future extensions of this research.

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作者
Fong, A.; Mittu, R.; Ratwani, R.; Reggia, J.;
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年度 2014
页码 1-11
总页数 11
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Blood pressure; Electrocardiography; False alarms; Network architecture; Time series analysis; Adapters; Biomedical information systems; Chaos; Classification; Clinical medicine; Decision making; Intensive care units; Learning machines; Mathematical prediction; Medical supplies; Monitoring; Neural nets; Patients; Physiological effects; Trauma; Waveforms; Esn(echo state networks); Intelligent monitoring; Biomedical informatics; Alarm fatigue;

机译：血压;心电图;虚警;网络结构;时间序列分析;适配器;生物医学信息系统;混沌;分类;临床医学;决策;重症监护病房;学习机器;数学预测;医疗用品;监测;神经网络;患者;生理影响;创伤;波形; Esn（回声状态网络）;智能监测;生物医学信息学;报警疲劳;

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专利

1. Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure. [J] . Zong W, Moody GB, Mark RG Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering . 2004,第5期

机译：使用信号质量评估以及心电图和动脉血压之间的关系来减少错误的动脉血压警报。
2. Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network [J] . Tanveer Md. Sayed, Hasan Md. Kamrul Biomedical signal processing and control . 2019,第MAY期

机译：使用基于波形的ANN-LSTM网络从心电图和光体积描记图估算无袖带血压
3. Non-invasive Estimation of the Intracranial Pressure Waveform from the Central Arterial Blood Pressure Waveform in Idiopathic Normal Pressure Hydrocephalus Patients [J] . Karen Brastad Evensen, Michael O’Rourke, Fabrice Prieur, Scientific reports. . 2018,第1期

机译：特发性常压性脑积水患者的颅内压波形的无创估计
4. Cardiac output monitoring by long time interval analysis of a radial arterial blood pressure waveform with correction for arterial compliance changes using pulse transit time [C] . Moslehpour Mohsen, Zhang Guanqun, Mukkamala Ramakrishna 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2011

机译：通过长时间间隔分析a动脉血压波形进行心输出量监测，并使用脉冲传输时间校正动脉顺应性变化
5. A polyvinylidene fluoride (PVDF) piezoelectric biomedical transducer for intravascular monitoring of blood pressure, and arterial blood flow rate [D] . Tamez, Juan Pedro 2009

机译：聚偏二氟乙烯（PVDF）压电生物医学传感器，用于血管内监测血压和动脉血流量
6. Predicting Electrocardiogram and Arterial Blood Pressure Waveforms with Different Echo State Network Architectures [O] . Allan Fong, Ranjeev Mittu, Raj Ratwani, 2014

机译：预测具有不同回声状态网络架构的心电图和动脉血压波形
7. Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network [O] . Md. Sayed Tanveer, Md. Kamrul Hasan 2019

机译：基于波形的Ann-LSTM网络从心电图和光学仪测量的诱齿血压估计

Predicting Electrocardiogram and Arterial Blood Pressure Waveforms with Different Echo State Network Architectures.

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