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

File: <base>/training/georgia/g2/E01779.hea (720 bytes) 
E01779 12 500 5000
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -185 -23736 0 I
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -43 22135 0 II
E01779.mat 16x1+24 1000.0(0)/mV 16 0 141 -20135 0 III
E01779.mat 16x1+24 1000.0(0)/mV 16 0 114 -31978 0 aVR
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -163 -1740 0 aVL
E01779.mat 16x1+24 1000.0(0)/mV 16 0 48 -31775 0 aVF
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -24 9546 0 V1
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -78 -8207 0 V2
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -575 -11270 0 V3
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -273 -27365 0 V4
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -273 -27350 0 V5
E01779.mat 16x1+24 1000.0(0)/mV 16 0 -14 12142 0 V6
# Age: 89
# Sex: Female
# Dx: 164889003,251146004
# Rx: Unknown