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

File: <base>/training/georgia/g5/E04062.hea (722 bytes) 
E04062 12 500 5000
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32594 0 I
E04062.mat 16x1+24 1000.0(0)/mV 16 0 48 -23947 0 II
E04062.mat 16x1+24 1000.0(0)/mV 16 0 58 9226 0 III
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -19 28356 0 aVR
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -34 -21265 0 aVL
E04062.mat 16x1+24 1000.0(0)/mV 16 0 53 -7209 0 aVF
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -126 23790 0 V1
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -136 28852 0 V2
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -136 -22881 0 V3
E04062.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24090 0 V4
E04062.mat 16x1+24 1000.0(0)/mV 16 0 0 -28192 0 V5
E04062.mat 16x1+24 1000.0(0)/mV 16 0 29 -19856 0 V6
# Age: 62
# Sex: Male
# Dx: 59118001,39732003
# Rx: Unknown
# Hx: Unknown