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

File: <base>/training/georgia/g6/E05315.hea (711 bytes) 
E05315 12 500 5000
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -78 28791 0 I
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -29 8875 0 II
E05315.mat 16x1+24 1000.0(0)/mV 16 0 48 -19866 0 III
E05315.mat 16x1+24 1000.0(0)/mV 16 0 53 13922 0 aVR
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -63 24760 0 aVL
E05315.mat 16x1+24 1000.0(0)/mV 16 0 9 27055 0 aVF
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -58 18905 0 V1
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -136 5081 0 V2
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -107 3194 0 V3
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -107 10417 0 V4
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -68 10040 0 V5
E05315.mat 16x1+24 1000.0(0)/mV 16 0 -48 14748 0 V6
# Age: 52
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown