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

File: <base>/training/georgia/g8/E07941.hea (710 bytes) 
E07941 12 500 5000
E07941.mat 16x1+24 1000.0(0)/mV 16 0 0 -15018 0 I
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -43 -8986 0 II
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -43 5489 0 III
E07941.mat 16x1+24 1000.0(0)/mV 16 0 21 12023 0 aVR
E07941.mat 16x1+24 1000.0(0)/mV 16 0 21 -10181 0 aVL
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -43 -1516 0 aVF
E07941.mat 16x1+24 1000.0(0)/mV 16 0 14 -13994 0 V1
E07941.mat 16x1+24 1000.0(0)/mV 16 0 14 -16791 0 V2
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -73 -302 0 V3
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -263 -9936 0 V4
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -200 -11040 0 V5
E07941.mat 16x1+24 1000.0(0)/mV 16 0 -87 25836 0 V6
# Age: 45
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown