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

File: <base>/training/georgia/g3/E02533.hea (738 bytes) 
E02533 12 500 5000
E02533.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6036 0 I
E02533.mat 16x1+24 1000.0(0)/mV 16 0 87 -25561 0 II
E02533.mat 16x1+24 1000.0(0)/mV 16 0 97 -18737 0 III
E02533.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16898 0 aVR
E02533.mat 16x1+24 1000.0(0)/mV 16 0 -53 -26258 0 aVL
E02533.mat 16x1+24 1000.0(0)/mV 16 0 92 -22012 0 aVF
E02533.mat 16x1+24 1000.0(0)/mV 16 0 48 10077 0 V1
E02533.mat 16x1+24 1000.0(0)/mV 16 0 -146 11611 0 V2
E02533.mat 16x1+24 1000.0(0)/mV 16 0 48 10357 0 V3
E02533.mat 16x1+24 1000.0(0)/mV 16 0 29 28867 0 V4
E02533.mat 16x1+24 1000.0(0)/mV 16 0 9 -22673 0 V5
E02533.mat 16x1+24 1000.0(0)/mV 16 0 -58 8241 0 V6
# Age: 70
# Sex: Male
# Dx: 17338001,111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown