Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g2/E01593.hea (721 bytes) 
E01593 12 500 5000
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -92 -103 0 I
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -24 -11912 0 II
E01593.mat 16x1+24 1000.0(0)/mV 16 0 68 -11921 0 III
E01593.mat 16x1+24 1000.0(0)/mV 16 0 58 5887 0 aVR
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -80 5820 0 aVL
E01593.mat 16x1+24 1000.0(0)/mV 16 0 21 -11998 0 aVF
E01593.mat 16x1+24 1000.0(0)/mV 16 0 63 16067 0 V1
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -82 -30035 0 V2
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -48 28129 0 V3
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -180 28328 0 V4
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -156 6311 0 V5
E01593.mat 16x1+24 1000.0(0)/mV 16 0 -73 17517 0 V6
# Age: 84
# Sex: Female
# Dx: 428750005,39732003
# Rx: Unknown
# Hx: Unknown