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

File: <base>/training/georgia/g10/E09006.hea (722 bytes) 
E09006 12 500 5000
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15274 0 I
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -78 -27138 0 II
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12053 0 III
E09006.mat 16x1+24 1000.0(0)/mV 16 0 63 -11591 0 aVR
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -9 31441 0 aVL
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -53 -19580 0 aVF
E09006.mat 16x1+24 1000.0(0)/mV 16 0 0 -28740 0 V1
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -39 -26414 0 V2
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -48 22677 0 V3
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -78 -32058 0 V4
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -78 6936 0 V5
E09006.mat 16x1+24 1000.0(0)/mV 16 0 -68 16189 0 V6
# Age: 56
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown