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

File: <base>/training/georgia/g5/E04917.hea (712 bytes) 
E04917 12 500 5000
E04917.mat 16x1+24 1000.0(0)/mV 16 0 -87 2184 0 I
E04917.mat 16x1+24 1000.0(0)/mV 16 0 -87 -26289 0 II
E04917.mat 16x1+24 1000.0(0)/mV 16 0 0 -29346 0 III
E04917.mat 16x1+24 1000.0(0)/mV 16 0 87 -20870 0 aVR
E04917.mat 16x1+24 1000.0(0)/mV 16 0 -43 -17066 0 aVL
E04917.mat 16x1+24 1000.0(0)/mV 16 0 -43 -28281 0 aVF
E04917.mat 16x1+24 1000.0(0)/mV 16 0 58 -7201 0 V1
E04917.mat 16x1+24 1000.0(0)/mV 16 0 146 8217 0 V2
E04917.mat 16x1+24 1000.0(0)/mV 16 0 78 -5001 0 V3
E04917.mat 16x1+24 1000.0(0)/mV 16 0 224 9002 0 V4
E04917.mat 16x1+24 1000.0(0)/mV 16 0 126 -19967 0 V5
E04917.mat 16x1+24 1000.0(0)/mV 16 0 117 -25293 0 V6
# Age: 60
# Sex: Female
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown