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

File: <base>/training/georgia/g1/E00003.hea (706 bytes) 
E00003 12 500 5000
E00003.mat 16x1+24 1000.0(0)/mV 16 0 24 -32229 0 I
E00003.mat 16x1+24 1000.0(0)/mV 16 0 19 -31280 0 II
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -4 782 0 III
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -21 -1190 0 aVR
E00003.mat 16x1+24 1000.0(0)/mV 16 0 14 -16700 0 aVL
E00003.mat 16x1+24 1000.0(0)/mV 16 0 7 17464 0 aVF
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -24 15784 0 V1
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -19 5533 0 V2
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -34 17034 0 V3
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -14 23934 0 V4
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20855 0 V5
E00003.mat 16x1+24 1000.0(0)/mV 16 0 -14 9533 0 V6
# Age: NaN
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown