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

File: <base>/training/georgia/g10/E09157.hea (729 bytes) 
E09157 12 500 5000
E09157.mat 16x1+24 1000.0(0)/mV 16 0 107 -740 0 I
E09157.mat 16x1+24 1000.0(0)/mV 16 0 0 23125 0 II
E09157.mat 16x1+24 1000.0(0)/mV 16 0 -107 24016 0 III
E09157.mat 16x1+24 1000.0(0)/mV 16 0 -53 21675 0 aVR
E09157.mat 16x1+24 1000.0(0)/mV 16 0 107 -12220 0 aVL
E09157.mat 16x1+24 1000.0(0)/mV 16 0 -53 -9280 0 aVF
E09157.mat 16x1+24 1000.0(0)/mV 16 0 29 27922 0 V1
E09157.mat 16x1+24 1000.0(0)/mV 16 0 29 29949 0 V2
E09157.mat 16x1+24 1000.0(0)/mV 16 0 48 -6821 0 V3
E09157.mat 16x1+24 1000.0(0)/mV 16 0 9 16823 0 V4
E09157.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19709 0 V5
E09157.mat 16x1+24 1000.0(0)/mV 16 0 -39 29492 0 V6
# Age: 87
# Sex: Female
# Dx: 428750005,284470004,284470004
# Rx: Unknown
# Hx: Unknown