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

File: <base>/training/georgia/g10/E09237.hea (701 bytes) 
E09237 12 500 5000
E09237.mat 16x1+24 1000.0(0)/mV 16 0 -58 3475 0 I
E09237.mat 16x1+24 1000.0(0)/mV 16 0 0 -20467 0 II
E09237.mat 16x1+24 1000.0(0)/mV 16 0 58 -24308 0 III
E09237.mat 16x1+24 1000.0(0)/mV 16 0 29 -24484 0 aVR
E09237.mat 16x1+24 1000.0(0)/mV 16 0 -58 13765 0 aVL
E09237.mat 16x1+24 1000.0(0)/mV 16 0 29 10037 0 aVF
E09237.mat 16x1+24 1000.0(0)/mV 16 0 -29 -279 0 V1
E09237.mat 16x1+24 1000.0(0)/mV 16 0 68 7159 0 V2
E09237.mat 16x1+24 1000.0(0)/mV 16 0 68 -16376 0 V3
E09237.mat 16x1+24 1000.0(0)/mV 16 0 -9 3377 0 V4
E09237.mat 16x1+24 1000.0(0)/mV 16 0 -9 8074 0 V5
E09237.mat 16x1+24 1000.0(0)/mV 16 0 -9 24102 0 V6
# Age: 68
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown