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

File: <base>/training/georgia/g9/E08352.hea (726 bytes) 
E08352 12 500 5000
E08352.mat 16x1+24 1000.0(0)/mV 16 0 87 -19213 0 I
E08352.mat 16x1+24 1000.0(0)/mV 16 0 117 -25185 0 II
E08352.mat 16x1+24 1000.0(0)/mV 16 0 29 -6061 0 III
E08352.mat 16x1+24 1000.0(0)/mV 16 0 -102 22034 0 aVR
E08352.mat 16x1+24 1000.0(0)/mV 16 0 29 -6660 0 aVL
E08352.mat 16x1+24 1000.0(0)/mV 16 0 73 -15500 0 aVF
E08352.mat 16x1+24 1000.0(0)/mV 16 0 -107 -22038 0 V1
E08352.mat 16x1+24 1000.0(0)/mV 16 0 -126 -29551 0 V2
E08352.mat 16x1+24 1000.0(0)/mV 16 0 -97 -30503 0 V3
E08352.mat 16x1+24 1000.0(0)/mV 16 0 9 -25252 0 V4
E08352.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22166 0 V5
E08352.mat 16x1+24 1000.0(0)/mV 16 0 -87 18768 0 V6
# Age: 51
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown