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

File: <base>/training/georgia/g10/E09116.hea (709 bytes) 
E09116 12 500 5000
E09116.mat 16x1+24 1000.0(0)/mV 16 0 58 -9743 0 I
E09116.mat 16x1+24 1000.0(0)/mV 16 0 53 -25798 0 II
E09116.mat 16x1+24 1000.0(0)/mV 16 0 -4 -15608 0 III
E09116.mat 16x1+24 1000.0(0)/mV 16 0 -56 -15021 0 aVR
E09116.mat 16x1+24 1000.0(0)/mV 16 0 31 -30036 0 aVL
E09116.mat 16x1+24 1000.0(0)/mV 16 0 24 -20793 0 aVF
E09116.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9855 0 V1
E09116.mat 16x1+24 1000.0(0)/mV 16 0 -4 -29731 0 V2
E09116.mat 16x1+24 1000.0(0)/mV 16 0 0 3636 0 V3
E09116.mat 16x1+24 1000.0(0)/mV 16 0 29 -24300 0 V4
E09116.mat 16x1+24 1000.0(0)/mV 16 0 14 15086 0 V5
E09116.mat 16x1+24 1000.0(0)/mV 16 0 102 21247 0 V6
# Age: 71
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown