Melanie T. Young

Works (1)

Updated: July 5th, 2023 16:02

2000 article

Using an Artificial Neural Network to Detect Activations during Ventricular Fibrillation

Young, M. T., Blanchard, S. M., White, M. W., Johnson, E. E., Smith, W. M., & Ideker, R. E. (2000, February 1). Computers and Biomedical Research.

By: M. Young n, S. Blanchard n, M. White n, E. Johnson, W. Smith* & R. Ideker*

MeSH headings : Diagnosis, Computer-Assisted; Electrocardiography / statistics & numerical data; Electrophysiology; Humans; Neural Networks, Computer; Sensitivity and Specificity; Ventricular Fibrillation / diagnosis; Ventricular Fibrillation / physiopathology
topics (OpenAlex): ECG Monitoring and Analysis; Cardiac electrophysiology and arrhythmias; Fault Detection and Control Systems
TL;DR: Staged training, a new method that uses different sets of training examples in different stages, was used to improve the ability of the artificial neural networks to detect activation and they were able to correctly classify more than 92% of new test examples. (via Semantic Scholar)
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