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

File: <base>/training/georgia/g7/E06293.hea (772 bytes) 
E06293 12 500 5000
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -102 22375 0 I
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -58 3048 0 II
E06293.mat 16x1+24 1000.0(0)/mV 16 0 43 -19411 0 III
E06293.mat 16x1+24 1000.0(0)/mV 16 0 80 -12752 0 aVR
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -73 -11681 0 aVL
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -7 24938 0 aVF
E06293.mat 16x1+24 1000.0(0)/mV 16 0 0 -7412 0 V1
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -53 16060 0 V2
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -87 22052 0 V3
E06293.mat 16x1+24 1000.0(0)/mV 16 0 0 -31121 0 V4
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -253 -26420 0 V5
E06293.mat 16x1+24 1000.0(0)/mV 16 0 -102 -15403 0 V6
# Age: 72
# Sex: Male
# Dx: 428750005,164934002,270492004,426177001,425419005,59931005,164873001
# Rx: Unknown
# Hx: Unknown