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

File: <base>/training/georgia/g9/E08943.hea (708 bytes) 
E08943 12 500 5000
E08943.mat 16x1+24 1000.0(0)/mV 16 0 -53 -32453 0 I
E08943.mat 16x1+24 1000.0(0)/mV 16 0 24 -11529 0 II
E08943.mat 16x1+24 1000.0(0)/mV 16 0 78 20261 0 III
E08943.mat 16x1+24 1000.0(0)/mV 16 0 14 21724 0 aVR
E08943.mat 16x1+24 1000.0(0)/mV 16 0 -65 -26483 0 aVL
E08943.mat 16x1+24 1000.0(0)/mV 16 0 51 4123 0 aVF
E08943.mat 16x1+24 1000.0(0)/mV 16 0 68 10044 0 V1
E08943.mat 16x1+24 1000.0(0)/mV 16 0 -48 -12577 0 V2
E08943.mat 16x1+24 1000.0(0)/mV 16 0 58 -3764 0 V3
E08943.mat 16x1+24 1000.0(0)/mV 16 0 14 6983 0 V4
E08943.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18844 0 V5
E08943.mat 16x1+24 1000.0(0)/mV 16 0 9 -21175 0 V6
# Age: 70
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown