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

File: <base>/training/georgia/g1/E00322.hea (731 bytes) 
E00322 12 500 5000
E00322.mat 16x1+24 1000.0(0)/mV 16 0 19 12468 0 I
E00322.mat 16x1+24 1000.0(0)/mV 16 0 854 12969 0 II
E00322.mat 16x1+24 1000.0(0)/mV 16 0 834 645 0 III
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -436 20212 0 aVR
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -407 -26717 0 aVL
E00322.mat 16x1+24 1000.0(0)/mV 16 0 844 6831 0 aVF
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -165 -16154 0 V1
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -122 -27887 0 V2
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -136 -19823 0 V3
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -53 -10165 0 V4
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -63 -26105 0 V5
E00322.mat 16x1+24 1000.0(0)/mV 16 0 -87 29547 0 V6
# Age: 65
# Sex: Female
# Dx: 253352002,426177001
# Rx: Unknown
# Hx: Unknown