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

File: <base>/training/georgia/g3/E02918.hea (712 bytes) 
E02918 12 500 5000
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -43 -12165 0 I
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -68 -44 0 II
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -24 12337 0 III
E02918.mat 16x1+24 1000.0(0)/mV 16 0 56 6026 0 aVR
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12213 0 aVL
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -46 6202 0 aVF
E02918.mat 16x1+24 1000.0(0)/mV 16 0 29 -7939 0 V1
E02918.mat 16x1+24 1000.0(0)/mV 16 0 14 -18997 0 V2
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -102 -27375 0 V3
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -87 -32181 0 V4
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -48 -23041 0 V5
E02918.mat 16x1+24 1000.0(0)/mV 16 0 -34 -17061 0 V6
# Age: 66
# Sex: Male
# Dx: 111975006
# Rx: Unknown
# Hx: Unknown