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

File: <base>/training/georgia/g10/E09155.hea (748 bytes) 
E09155 12 500 5000
E09155.mat 16x1+24 1000.0(0)/mV 16 0 634 32522 0 I
E09155.mat 16x1+24 1000.0(0)/mV 16 0 409 -17059 0 II
E09155.mat 16x1+24 1000.0(0)/mV 16 0 -224 17401 0 III
E09155.mat 16x1+24 1000.0(0)/mV 16 0 -522 25613 0 aVR
E09155.mat 16x1+24 1000.0(0)/mV 16 0 429 -25692 0 aVL
E09155.mat 16x1+24 1000.0(0)/mV 16 0 92 209 0 aVF
E09155.mat 16x1+24 1000.0(0)/mV 16 0 -966 18421 0 V1
E09155.mat 16x1+24 1000.0(0)/mV 16 0 -1102 6556 0 V2
E09155.mat 16x1+24 1000.0(0)/mV 16 0 -1464 322 0 V3
E09155.mat 16x1+24 1000.0(0)/mV 16 0 -458 -32317 0 V4
E09155.mat 16x1+24 1000.0(0)/mV 16 0 897 20614 0 V5
E09155.mat 16x1+24 1000.0(0)/mV 16 0 1268 202 0 V6
# Age: 52
# Sex: Female
# Dx: 270492004,426177001,425623009,164917005
# Rx: Unknown
# Hx: Unknown