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

File: <base>/training/georgia/g10/E09477.hea (718 bytes) 
E09477 12 500 5000
E09477.mat 16x1+24 1000.0(0)/mV 16 0 -48 24756 0 I
E09477.mat 16x1+24 1000.0(0)/mV 16 0 -48 14138 0 II
E09477.mat 16x1+24 1000.0(0)/mV 16 0 0 -10017 0 III
E09477.mat 16x1+24 1000.0(0)/mV 16 0 48 -19315 0 aVR
E09477.mat 16x1+24 1000.0(0)/mV 16 0 -24 17522 0 aVL
E09477.mat 16x1+24 1000.0(0)/mV 16 0 -24 2129 0 aVF
E09477.mat 16x1+24 1000.0(0)/mV 16 0 19 -13632 0 V1
E09477.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10348 0 V2
E09477.mat 16x1+24 1000.0(0)/mV 16 0 29 20551 0 V3
E09477.mat 16x1+24 1000.0(0)/mV 16 0 -29 4892 0 V4
E09477.mat 16x1+24 1000.0(0)/mV 16 0 39 5245 0 V5
E09477.mat 16x1+24 1000.0(0)/mV 16 0 58 12061 0 V6
# Age: 69
# Sex: Female
# Dx: 428750005,164934002
# Rx: Unknown
# Hx: Unknown