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L Edenbrandt

Showing results (1-10 of 51) with videos related to

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Journal of Electrocardiology|November 1, 1988
Vectorcardiogram synthesized from a 12-lead ECG: superiority of the inverse Dower matrixL Edenbrandt, O Pahlm
The American Journal of Cardiology|December 1, 1998
Recognition of lead reversals in pediatric electrocardiogramsL Edenbrandt, R Rittner
Journal of Electrocardiology|January 1, 1992
12-lead vectorcardiography in ischemic heart diseaseP W Macfarlane, L Edenbrandt
Computers and Biomedical Research, an International Journal|September 10, 1998
Myocardial infarction--pinpointing the key indicators in the 12-lead ECG using data miningK E Burn-Thornton, L Edenbrandt
European Heart Journal|March 1, 1989
An accurate exercise lead system for bicycle ergometer testsL Edenbrandt, O Pahlm, L Sörnmo
Clinical Physiology and Functional Imaging|November 4, 2004
Operator dependent variability in quantitative analysis of myocardial perfusion imagesL Akesson, A Svensson, L Edenbrandt
Clinical Physiology (Oxford, England)|December 3, 1999
Myocardial SPET: artificial neural networks describe extent and severity of perfusion defectsD Lindahl, J Palmer, L Edenbrandt
Journal of Electrocardiology|January 1, 1993
Neural networks for analysis of ECG complexesL Edenbrandt, B Heden, O Pahlm
Journal of Electrocardiology|July 1, 1992
Neural networks for classification of ECG ST-T segmentsL Edenbrandt, B Devine, P W Macfarlane
European Heart Journal|April 1, 1993
Classification of electrocardiographic ST-T segments--human expert vs artificial neural networkL Edenbrandt, B Devine, P W Macfarlane
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
Journal of Electrocardiology|November 1, 1988
Vectorcardiogram synthesized from a 12-lead ECG: superiority of the inverse Dower matrixL Edenbrandt, O Pahlm
The American Journal of Cardiology|December 1, 1998
Recognition of lead reversals in pediatric electrocardiogramsL Edenbrandt, R Rittner
Journal of Electrocardiology|January 1, 1992
12-lead vectorcardiography in ischemic heart diseaseP W Macfarlane, L Edenbrandt
Computers and Biomedical Research, an International Journal|September 10, 1998
Myocardial infarction--pinpointing the key indicators in the 12-lead ECG using data miningK E Burn-Thornton, L Edenbrandt
European Heart Journal|March 1, 1989
An accurate exercise lead system for bicycle ergometer testsL Edenbrandt, O Pahlm, L Sörnmo
Clinical Physiology and Functional Imaging|November 4, 2004
Operator dependent variability in quantitative analysis of myocardial perfusion imagesL Akesson, A Svensson, L Edenbrandt
Clinical Physiology (Oxford, England)|December 3, 1999
Myocardial SPET: artificial neural networks describe extent and severity of perfusion defectsD Lindahl, J Palmer, L Edenbrandt
Journal of Electrocardiology|January 1, 1993
Neural networks for analysis of ECG complexesL Edenbrandt, B Heden, O Pahlm
Journal of Electrocardiology|July 1, 1992
Neural networks for classification of ECG ST-T segmentsL Edenbrandt, B Devine, P W Macfarlane
European Heart Journal|April 1, 1993
Classification of electrocardiographic ST-T segments--human expert vs artificial neural networkL Edenbrandt, B Devine, P W Macfarlane
Pageof 6