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

File: <base>/training/georgia/g10/E09319.hea (726 bytes) 
E09319 12 500 5000
E09319.mat 16x1+24 1000.0(0)/mV 16 0 -87 -10976 0 I
E09319.mat 16x1+24 1000.0(0)/mV 16 0 24 -3622 0 II
E09319.mat 16x1+24 1000.0(0)/mV 16 0 112 7352 0 III
E09319.mat 16x1+24 1000.0(0)/mV 16 0 31 7038 0 aVR
E09319.mat 16x1+24 1000.0(0)/mV 16 0 -100 -8887 0 aVL
E09319.mat 16x1+24 1000.0(0)/mV 16 0 68 1729 0 aVF
E09319.mat 16x1+24 1000.0(0)/mV 16 0 34 32571 0 V1
E09319.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6180 0 V2
E09319.mat 16x1+24 1000.0(0)/mV 16 0 53 -20618 0 V3
E09319.mat 16x1+24 1000.0(0)/mV 16 0 34 -13954 0 V4
E09319.mat 16x1+24 1000.0(0)/mV 16 0 14 728 0 V5
E09319.mat 16x1+24 1000.0(0)/mV 16 0 -14 -10959 0 V6
# Age: 80
# Sex: Female
# Dx: 164884008,164909002,39732003
# Rx: Unknown
# Hx: Unknown