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

File: <base>/training/georgia/g9/E08853.hea (790 bytes) 
E08853 12 500 5000
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -39 29580 0 I
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -39 6873 0 II
E08853.mat 16x1+24 1000.0(0)/mV 16 0 0 -23292 0 III
E08853.mat 16x1+24 1000.0(0)/mV 16 0 39 14397 0 aVR
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -19 26363 0 aVL
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -19 24307 0 aVF
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -48 1623 0 V1
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -78 -14821 0 V2
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -107 16475 0 V3
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -87 16679 0 V4
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28907 0 V5
E08853.mat 16x1+24 1000.0(0)/mV 16 0 -48 13803 0 V6
# Age: 68
# Sex: Male
# Dx: 428750005,111975006,164930006,164934002,270492004,426177001,425623009,59931005,164917005
# Rx: Unknown
# Hx: Unknown