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

File: <base>/training/georgia/g9/E08246.hea (723 bytes) 
E08246 12 500 5000
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -58 7650 0 I
E08246.mat 16x1+24 1000.0(0)/mV 16 0 9 13609 0 II
E08246.mat 16x1+24 1000.0(0)/mV 16 0 68 5882 0 III
E08246.mat 16x1+24 1000.0(0)/mV 16 0 24 -10578 0 aVR
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -63 768 0 aVL
E08246.mat 16x1+24 1000.0(0)/mV 16 0 39 9615 0 aVF
E08246.mat 16x1+24 1000.0(0)/mV 16 0 0 17262 0 V1
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -9 29878 0 V2
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29355 0 V3
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30298 0 V4
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -9 30636 0 V5
E08246.mat 16x1+24 1000.0(0)/mV 16 0 -29 22224 0 V6
# Age: 72
# Sex: Female
# Dx: 426177001,426434006,164934002
# Rx: Unknown
# Hx: Unknown