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

File: <base>/training/georgia/g7/E06442.hea (724 bytes) 
E06442 12 500 5000
E06442.mat 16x1+24 1000.0(0)/mV 16 0 165 -11928 0 I
E06442.mat 16x1+24 1000.0(0)/mV 16 0 29 -14553 0 II
E06442.mat 16x1+24 1000.0(0)/mV 16 0 -136 -2805 0 III
E06442.mat 16x1+24 1000.0(0)/mV 16 0 -97 13425 0 aVR
E06442.mat 16x1+24 1000.0(0)/mV 16 0 151 -4475 0 aVL
E06442.mat 16x1+24 1000.0(0)/mV 16 0 -53 -8485 0 aVF
E06442.mat 16x1+24 1000.0(0)/mV 16 0 -39 7567 0 V1
E06442.mat 16x1+24 1000.0(0)/mV 16 0 497 22460 0 V2
E06442.mat 16x1+24 1000.0(0)/mV 16 0 390 26128 0 V3
E06442.mat 16x1+24 1000.0(0)/mV 16 0 390 -23164 0 V4
E06442.mat 16x1+24 1000.0(0)/mV 16 0 97 -6291 0 V5
E06442.mat 16x1+24 1000.0(0)/mV 16 0 97 -16031 0 V6
# Age: 72
# Sex: Female
# Dx: 17338001,164934002
# Rx: Unknown
# Hx: Unknown