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

File: <base>/training/georgia/g1/E00477.hea (729 bytes) 
E00477 12 500 5000
E00477.mat 16x1+24 1000.0(0)/mV 16 0 112 -25126 0 I
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -146 31974 0 II
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -258 -9145 0 III
E00477.mat 16x1+24 1000.0(0)/mV 16 0 17 28514 0 aVR
E00477.mat 16x1+24 1000.0(0)/mV 16 0 185 24577 0 aVL
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -202 11448 0 aVF
E00477.mat 16x1+24 1000.0(0)/mV 16 0 117 -8951 0 V1
E00477.mat 16x1+24 1000.0(0)/mV 16 0 117 524 0 V2
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -253 13031 0 V3
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -73 -30975 0 V4
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -204 29467 0 V5
E00477.mat 16x1+24 1000.0(0)/mV 16 0 -234 -1117 0 V6
# Age: 45
# Sex: Female
# Dx: 425623009,426177001
# Rx: Unknown
# Hx: Unknown