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

File: <base>/training/georgia/g1/E00106.hea (730 bytes) 
E00106 12 500 5000
E00106.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8032 0 I
E00106.mat 16x1+24 1000.0(0)/mV 16 0 29 -9588 0 II
E00106.mat 16x1+24 1000.0(0)/mV 16 0 68 -981 0 III
E00106.mat 16x1+24 1000.0(0)/mV 16 0 4 -23874 0 aVR
E00106.mat 16x1+24 1000.0(0)/mV 16 0 -53 29292 0 aVL
E00106.mat 16x1+24 1000.0(0)/mV 16 0 48 -5294 0 aVF
E00106.mat 16x1+24 1000.0(0)/mV 16 0 19 24251 0 V1
E00106.mat 16x1+24 1000.0(0)/mV 16 0 48 6036 0 V2
E00106.mat 16x1+24 1000.0(0)/mV 16 0 9 -22012 0 V3
E00106.mat 16x1+24 1000.0(0)/mV 16 0 -97 16690 0 V4
E00106.mat 16x1+24 1000.0(0)/mV 16 0 -165 25074 0 V5
E00106.mat 16x1+24 1000.0(0)/mV 16 0 -165 12834 0 V6
# Age: 52
# Sex: Male
# Dx: 428750005,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown