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

File: <base>/training/georgia/g9/E08509.hea (726 bytes) 
E08509 12 500 5000
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -214 25003 0 I
E08509.mat 16x1+24 1000.0(0)/mV 16 0 87 5051 0 II
E08509.mat 16x1+24 1000.0(0)/mV 16 0 302 -19347 0 III
E08509.mat 16x1+24 1000.0(0)/mV 16 0 63 -15013 0 aVR
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -258 -10376 0 aVL
E08509.mat 16x1+24 1000.0(0)/mV 16 0 195 26002 0 aVF
E08509.mat 16x1+24 1000.0(0)/mV 16 0 136 6271 0 V1
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -810 11888 0 V2
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -273 -2308 0 V3
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -185 23856 0 V4
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -87 29379 0 V5
E08509.mat 16x1+24 1000.0(0)/mV 16 0 -39 30379 0 V6
# Age: 57
# Sex: Male
# Dx: 713426002,428750005
# Rx: Unknown
# Hx: Unknown