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

File: <base>/training/georgia/g2/E01539.hea (738 bytes) 
E01539 12 500 5000
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -136 -5065 0 I
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -97 24081 0 II
E01539.mat 16x1+24 1000.0(0)/mV 16 0 39 29307 0 III
E01539.mat 16x1+24 1000.0(0)/mV 16 0 117 -9651 0 aVR
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -87 15508 0 aVL
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6106 0 aVF
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -722 -17925 0 V1
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -663 3185 0 V2
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -595 24566 0 V3
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -497 3647 0 V4
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -204 -22453 0 V5
E01539.mat 16x1+24 1000.0(0)/mV 16 0 -185 16260 0 V6
# Age: 68
# Sex: Male
# Dx: 713426002,425419005,164934002
# Rx: Unknown
# Hx: Unknown