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

File: <base>/training/georgia/g9/E08487.hea (718 bytes) 
E08487 12 500 5000
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22520 0 I
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -102 -30986 0 II
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -53 -7337 0 III
E08487.mat 16x1+24 1000.0(0)/mV 16 0 75 26893 0 aVR
E08487.mat 16x1+24 1000.0(0)/mV 16 0 2 -6867 0 aVL
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -78 -19039 0 aVF
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -92 -20432 0 V1
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -214 -7656 0 V2
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -312 -6836 0 V3
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -209 31978 0 V4
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -146 2711 0 V5
E08487.mat 16x1+24 1000.0(0)/mV 16 0 -131 11351 0 V6
# Age: 56
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown