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

File: <base>/training/georgia/g4/E03082.hea (717 bytes) 
E03082 12 500 5000
E03082.mat 16x1+24 1000.0(0)/mV 16 0 146 -29925 0 I
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -58 30035 0 II
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -204 -5403 0 III
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -43 -104 0 aVR
E03082.mat 16x1+24 1000.0(0)/mV 16 0 175 -12469 0 aVL
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -131 12275 0 aVF
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9881 0 V1
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -107 -19575 0 V2
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -87 8896 0 V3
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -58 30352 0 V4
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -97 16567 0 V5
E03082.mat 16x1+24 1000.0(0)/mV 16 0 -156 -4038 0 V6
# Age: 50
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown