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

File: <base>/training/georgia/g9/E08455.hea (740 bytes) 
E08455 12 500 5000
E08455.mat 16x1+24 1000.0(0)/mV 16 0 -156 14942 0 I
E08455.mat 16x1+24 1000.0(0)/mV 16 0 175 12132 0 II
E08455.mat 16x1+24 1000.0(0)/mV 16 0 331 -2416 0 III
E08455.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13285 0 aVR
E08455.mat 16x1+24 1000.0(0)/mV 16 0 -244 -23815 0 aVL
E08455.mat 16x1+24 1000.0(0)/mV 16 0 253 -27861 0 aVF
E08455.mat 16x1+24 1000.0(0)/mV 16 0 117 3220 0 V1
E08455.mat 16x1+24 1000.0(0)/mV 16 0 48 3353 0 V2
E08455.mat 16x1+24 1000.0(0)/mV 16 0 283 24591 0 V3
E08455.mat 16x1+24 1000.0(0)/mV 16 0 273 5695 0 V4
E08455.mat 16x1+24 1000.0(0)/mV 16 0 48 19281 0 V5
E08455.mat 16x1+24 1000.0(0)/mV 16 0 -48 12446 0 V6
# Age: 78
# Sex: Male
# Dx: 270492004,39732003,425623009,164934002
# Rx: Unknown
# Hx: Unknown