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

File: <base>/training/georgia/g9/E08196.hea (708 bytes) 
E08196 12 500 5000
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -9 32690 0 I
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -126 -680 0 II
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -117 -32549 0 III
E08196.mat 16x1+24 1000.0(0)/mV 16 0 68 16759 0 aVR
E08196.mat 16x1+24 1000.0(0)/mV 16 0 53 32133 0 aVL
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -122 16355 0 aVF
E08196.mat 16x1+24 1000.0(0)/mV 16 0 19 -8606 0 V1
E08196.mat 16x1+24 1000.0(0)/mV 16 0 9 4286 0 V2
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2878 0 V3
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -78 16976 0 V4
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -68 10110 0 V5
E08196.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18541 0 V6
# Age: 77
# Sex: Male
# Dx: 17338001
# Rx: Unknown
# Hx: Unknown