Synthesize, optimize, analyze, repeat (SOAR): Application of neural network tools to ECG patient monitoring

Conference · Sun Dec 31 00:00:00 EST 1995

OSTI ID:377062

Watrous, R; Towell, G; Glassman, M S ^[1]

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1. Siemens Corporate Research, Princeton, NJ (United States)

Results are reported from the application of tools for synthesizing, optimizing and analyzing neural networks to an ECG Patient Monitoring task. A neural network was synthesized from a rule-based classifier and optimized over a set of normal and abnormal heartbeats. The classification error rate on a separate and larger test set was reduced by a factor of 2. When the network was analyzed and reduced in size by a factor of 40%, the same level of performance was maintained.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• OSTI ID: 377062
• Report Number(s): PNL-SA-26375; CONF-9503142-; ON: DE96009360; TRN: 96:003982-0019
• Resource Relation: Conference: Workshop on environmental and energy applications of neural networks conference, Richland, WA (United States), 30-31 Mar 1995; Other Information: PBD: [1995]; Related Information: Is Part Of Applications of neural networks in environmental and energy sciences and engineering. Proceedings of the 1995 workshop on environmental and energy applications of neural networks; Hashem, S.; Keller, P.E.; Kouzes, R.T.; Kangas, L.J.; PB: 193 p.
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
BASIC STUDIES
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
ELECTROCARDIOGRAMS
NEURAL NETWORKS
MONITORING
OPTIMIZATION
PATIENTS