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

File: <base>/training/georgia/g9/E08643.hea (706 bytes) 
E08643 12 500 2500
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -19 22474 0 I
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -19 29211 0 II
E08643.mat 16x1+24 1000.0(0)/mV 16 0 0 6722 0 III
E08643.mat 16x1+24 1000.0(0)/mV 16 0 19 6852 0 aVR
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24885 0 aVL
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -9 18252 0 aVF
E08643.mat 16x1+24 1000.0(0)/mV 16 0 9 3315 0 V1
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -9 10990 0 V2
E08643.mat 16x1+24 1000.0(0)/mV 16 0 117 3622 0 V3
E08643.mat 16x1+24 1000.0(0)/mV 16 0 0 -4262 0 V4
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -214 -9039 0 V5
E08643.mat 16x1+24 1000.0(0)/mV 16 0 -78 1434 0 V6
# Age: 55
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown