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

File: <base>/training/georgia/g10/E09258.hea (740 bytes) 
E09258 12 500 5000
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17348 0 I
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -68 15970 0 II
E09258.mat 16x1+24 1000.0(0)/mV 16 0 0 -31433 0 III
E09258.mat 16x1+24 1000.0(0)/mV 16 0 68 867 0 aVR
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -34 7460 0 aVL
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -34 -7549 0 aVF
E09258.mat 16x1+24 1000.0(0)/mV 16 0 195 2685 0 V1
E09258.mat 16x1+24 1000.0(0)/mV 16 0 175 -29623 0 V2
E09258.mat 16x1+24 1000.0(0)/mV 16 0 39 -28181 0 V3
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -87 24987 0 V4
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -195 7333 0 V5
E09258.mat 16x1+24 1000.0(0)/mV 16 0 -175 -14573 0 V6
# Age: 60
# Sex: Male
# Dx: 427393009,425623009,164934002,111975006
# Rx: Unknown
# Hx: Unknown