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

File: <base>/training/georgia/g10/E09166.hea (713 bytes) 
E09166 12 500 5000
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24772 0 I
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -87 -13362 0 II
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -48 12199 0 III
E09166.mat 16x1+24 1000.0(0)/mV 16 0 63 19026 0 aVR
E09166.mat 16x1+24 1000.0(0)/mV 16 0 4 -18626 0 aVL
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -68 -528 0 aVF
E09166.mat 16x1+24 1000.0(0)/mV 16 0 39 -8742 0 V1
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3159 0 V2
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -97 1492 0 V3
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -185 -17332 0 V4
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -185 -7013 0 V5
E09166.mat 16x1+24 1000.0(0)/mV 16 0 -185 -9840 0 V6
# Age: 46
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown