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

File: <base>/training/georgia/g4/E03022.hea (703 bytes) 
E03022 12 500 5000
E03022.mat 16x1+24 1000.0(0)/mV 16 0 19 -6342 0 I
E03022.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22969 0 II
E03022.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15728 0 III
E03022.mat 16x1+24 1000.0(0)/mV 16 0 9 14696 0 aVR
E03022.mat 16x1+24 1000.0(0)/mV 16 0 39 5466 0 aVL
E03022.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19238 0 aVF
E03022.mat 16x1+24 1000.0(0)/mV 16 0 0 26693 0 V1
E03022.mat 16x1+24 1000.0(0)/mV 16 0 -14 9938 0 V2
E03022.mat 16x1+24 1000.0(0)/mV 16 0 0 -19580 0 V3
E03022.mat 16x1+24 1000.0(0)/mV 16 0 19 11353 0 V4
E03022.mat 16x1+24 1000.0(0)/mV 16 0 43 1183 0 V5
E03022.mat 16x1+24 1000.0(0)/mV 16 0 97 -30343 0 V6
# Age: 77
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown