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

File: <base>/training/georgia/g4/E03306.hea (711 bytes) 
E03306 12 500 5000
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4761 0 I
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -136 -2705 0 II
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -97 1527 0 III
E03306.mat 16x1+24 1000.0(0)/mV 16 0 87 3734 0 aVR
E03306.mat 16x1+24 1000.0(0)/mV 16 0 29 29522 0 aVL
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -117 32246 0 aVF
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -82 -3042 0 V1
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -117 7025 0 V2
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -156 20832 0 V3
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -156 4416 0 V4
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -161 4146 0 V5
E03306.mat 16x1+24 1000.0(0)/mV 16 0 -151 2996 0 V6
# Age: 42
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown