Real-Time Analysis for Intensive Care Development and Deployment of the Artemis Analytic System

被引：76

作者：

Blount, Marion ^{[1
]}

Ebling, Maria R. ^{[1
]}

Eklund, J. Mikael ^{[2
,3
]}

James, Andrew G. ^{[4
,5
,6
]}

McGregor, Carolyn ^{[3
]}

Percival, Nathan

Smith, Kathleen P. ^{[3
]}

Sow, Daby ^{[7
]}

机构：

[1] IBM TJ Watson Res Ctr, Hawthorne, NY 10532 USA

[2] CAE Elect, Montreal, PQ, Canada

[3] UOIT, Oshawa, ON, Canada

[4] Univ Toronto, Toronto, ON, Canada

[5] Concept Model Special Interest Grp, Copenhagen, Denmark

[6] Int Hlth Terminol Stand Dev Org, Copenhagen, Denmark

[7] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 2010年 / 29卷 / 02期

关键词：

TEMPORAL ABSTRACTION; DIAGNOSIS;

D O I：

10.1109/MEMB.2010.936454

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The lives of many thousands of children born premature or ill at term around the world have been saved by those who work within neonatal intensive care units (NICUs). Modern-day neonatologists, together with nursing staff and other specialists within this domain, enjoy modern technologies for activities such as financial transactions, online purchasing, music, and video on demand. Yet, when they move into their workspace, in many cases, they are supported by nearly the same technology they used 20 years ago. Medical devices provide visual displays of vital signs through physiological streams such as electrocardiogram (ECG), heart rate, blood oxygen saturation (SpO2), and respiratory rate. Electronic health record initiatives around the world provide an environment for the electronic management of medical records, but they fail to support the high-frequency interpretation of streaming physiological data. Recent medical research has reported that potentially life-threatening conditions such as nosocomial infection [1], pneumothorax [2], intraventricular hemorrhage [3], [4], and periventricular leukomalacia [5] exhibit early indicators in physiological data (see Conditions Affecting Patients in an NICU). These indicators precede the detection of the medical conditions using existing clinical practices. © 2006 IEEE."

引用

页码：110 / 118

页数：9

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