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

File: <base>/training/georgia/g10/E09190.hea (714 bytes) 
E09190 12 500 5000
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -78 20193 0 I
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -175 -1553 0 II
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21472 0 III
E09190.mat 16x1+24 1000.0(0)/mV 16 0 126 23480 0 aVR
E09190.mat 16x1+24 1000.0(0)/mV 16 0 9 20832 0 aVL
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -136 21374 0 aVF
E09190.mat 16x1+24 1000.0(0)/mV 16 0 117 1040 0 V1
E09190.mat 16x1+24 1000.0(0)/mV 16 0 87 -31971 0 V2
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -39 25318 0 V3
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -19 31516 0 V4
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -39 12750 0 V5
E09190.mat 16x1+24 1000.0(0)/mV 16 0 -87 26985 0 V6
# Age: 54
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown