Artificial neural networks for recognition of electrocardiographic lead reversal

The American Journal of Cardiology

Volumn 75, Issue 14, 1995, Pages 929-933

  Hede ́n, Bo ^a   Ohlsson, Mattias ^a   Edenbrandt, Lars ^a   Rittner, Ralf ^a   Pahlm, Olle ^a   Peterson, Carsten ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL PRACTICE; DIAGNOSTIC ACCURACY; ELECTROCARDIOGRAM; ELECTRODE; EMERGENCY WARD; HUMAN; MEDICAL DECISION MAKING; PRIORITY JOURNAL;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSTIC ERRORS; ELECTROCARDIOGRAPHY; ELECTRODES; HUMAN; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SUPPORT, NON-U.S. GOV'T;

EID: 0028940203     PISSN: 00029149     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0002-9149(99)80689-4     Document Type: Article

References (14)

1. ECG diagnostic errors due to improper connection of the right arm and leg cable
2. Recognition of electrocardiographic electrode misplacements involving the ground (right leg) electrode
3. Neural networks for classification of electrocardiographic ST-T segments
4. Classification of electrocardiographic ST-T Segments—human expert versus artificial neural network
5. Neural networks for ECG classification
6. Artificial neural networks for the electrocardiographic diagnosis of healed myocardial infarction
7. Neural network versus electrocardiographer and conventional computer criteria in diagnosing anterior infarct from the ECG
8. On Langevin Updating in Multilayer Perceptrons
9. JETNET 3.0—a versatile artificial neural network package
10. Survey of computer-assisted electrocardiography in the United States