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

File: <base>/training/georgia/g2/E01192.hea (738 bytes) 
E01192 12 500 5000
E01192.mat 16x1+24 1000.0(0)/mV 16 0 78 -31695 0 I
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -312 -25263 0 II
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -390 6564 0 III
E01192.mat 16x1+24 1000.0(0)/mV 16 0 117 28379 0 aVR
E01192.mat 16x1+24 1000.0(0)/mV 16 0 234 -18794 0 aVL
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -351 -9353 0 aVF
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -185 10222 0 V1
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -175 474 0 V2
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -439 -219 0 V3
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -351 -951 0 V4
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -312 -11242 0 V5
E01192.mat 16x1+24 1000.0(0)/mV 16 0 -244 2266 0 V6
# Age: 60
# Sex: Male
# Dx: 445118002,425419005,164934002
# Rx: Unknown
# Hx: Unknown