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

File: <base>/training/georgia/g9/E08873.hea (718 bytes) 
E08873 12 500 5000
E08873.mat 16x1+24 1000.0(0)/mV 16 0 9 -27292 0 I
E08873.mat 16x1+24 1000.0(0)/mV 16 0 29 -11862 0 II
E08873.mat 16x1+24 1000.0(0)/mV 16 0 19 15725 0 III
E08873.mat 16x1+24 1000.0(0)/mV 16 0 -19 19492 0 aVR
E08873.mat 16x1+24 1000.0(0)/mV 16 0 -4 -20932 0 aVL
E08873.mat 16x1+24 1000.0(0)/mV 16 0 24 2168 0 aVF
E08873.mat 16x1+24 1000.0(0)/mV 16 0 39 -24359 0 V1
E08873.mat 16x1+24 1000.0(0)/mV 16 0 97 -19488 0 V2
E08873.mat 16x1+24 1000.0(0)/mV 16 0 68 -24540 0 V3
E08873.mat 16x1+24 1000.0(0)/mV 16 0 39 31812 0 V4
E08873.mat 16x1+24 1000.0(0)/mV 16 0 48 23817 0 V5
E08873.mat 16x1+24 1000.0(0)/mV 16 0 19 -27899 0 V6
# Age: 59
# Sex: Female
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown