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

File: <base>/training/georgia/g9/E08945.hea (706 bytes) 
E08945 12 500 5000
E08945.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11649 0 I
E08945.mat 16x1+24 1000.0(0)/mV 16 0 9 -30747 0 II
E08945.mat 16x1+24 1000.0(0)/mV 16 0 29 -18763 0 III
E08945.mat 16x1+24 1000.0(0)/mV 16 0 4 -11761 0 aVR
E08945.mat 16x1+24 1000.0(0)/mV 16 0 -24 -29166 0 aVL
E08945.mat 16x1+24 1000.0(0)/mV 16 0 19 -24817 0 aVF
E08945.mat 16x1+24 1000.0(0)/mV 16 0 19 18212 0 V1
E08945.mat 16x1+24 1000.0(0)/mV 16 0 9 31770 0 V2
E08945.mat 16x1+24 1000.0(0)/mV 16 0 9 -10980 0 V3
E08945.mat 16x1+24 1000.0(0)/mV 16 0 39 -24733 0 V4
E08945.mat 16x1+24 1000.0(0)/mV 16 0 9 -15577 0 V5
E08945.mat 16x1+24 1000.0(0)/mV 16 0 9 8442 0 V6
# Age: 65
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown