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

File: <base>/training/georgia/g10/E09616.hea (743 bytes) 
E09616 12 500 5000
E09616.mat 16x1+24 1000.0(0)/mV 16 0 0 -14213 0 I
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26317 0 II
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12364 0 III
E09616.mat 16x1+24 1000.0(0)/mV 16 0 14 20310 0 aVR
E09616.mat 16x1+24 1000.0(0)/mV 16 0 14 -728 0 aVL
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19246 0 aVF
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18503 0 V1
E09616.mat 16x1+24 1000.0(0)/mV 16 0 0 -19695 0 V2
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21839 0 V3
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21832 0 V4
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -78 -23166 0 V5
E09616.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12951 0 V6
# Age: 68
# Sex: Male
# Dx: 111975006,164934002,425623009,426434006
# Rx: Unknown
# Hx: Unknown