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

File: <base>/training/georgia/g1/E00912.hea (707 bytes) 
E00912 12 500 5000
E00912.mat 16x1+24 1000.0(0)/mV 16 0 68 -15252 0 I
E00912.mat 16x1+24 1000.0(0)/mV 16 0 97 18156 0 II
E00912.mat 16x1+24 1000.0(0)/mV 16 0 29 -31700 0 III
E00912.mat 16x1+24 1000.0(0)/mV 16 0 -82 31199 0 aVR
E00912.mat 16x1+24 1000.0(0)/mV 16 0 19 8421 0 aVL
E00912.mat 16x1+24 1000.0(0)/mV 16 0 63 25875 0 aVF
E00912.mat 16x1+24 1000.0(0)/mV 16 0 39 -2428 0 V1
E00912.mat 16x1+24 1000.0(0)/mV 16 0 234 20601 0 V2
E00912.mat 16x1+24 1000.0(0)/mV 16 0 136 -27494 0 V3
E00912.mat 16x1+24 1000.0(0)/mV 16 0 87 -20106 0 V4
E00912.mat 16x1+24 1000.0(0)/mV 16 0 58 -21797 0 V5
E00912.mat 16x1+24 1000.0(0)/mV 16 0 48 -9115 0 V6
# Age: 47
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown