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

File: <base>/training/georgia/g2/E01943.hea (709 bytes) 
E01943 12 500 5000
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -48 22009 0 I
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -117 -29436 0 II
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -68 14910 0 III
E01943.mat 16x1+24 1000.0(0)/mV 16 0 82 3713 0 aVR
E01943.mat 16x1+24 1000.0(0)/mV 16 0 9 3046 0 aVL
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -92 -7187 0 aVF
E01943.mat 16x1+24 1000.0(0)/mV 16 0 19 27124 0 V1
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -68 28708 0 V2
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -112 30084 0 V3
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -102 6898 0 V4
E01943.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14529 0 V5
E01943.mat 16x1+24 1000.0(0)/mV 16 0 9 -14081 0 V6
# Age: 38
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown