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

File: <base>/training/georgia/g10/E09042.hea (713 bytes) 
E09042 12 500 5000
E09042.mat 16x1+24 1000.0(0)/mV 16 0 34 -32429 0 I
E09042.mat 16x1+24 1000.0(0)/mV 16 0 107 8983 0 II
E09042.mat 16x1+24 1000.0(0)/mV 16 0 73 -23068 0 III
E09042.mat 16x1+24 1000.0(0)/mV 16 0 -70 11562 0 aVR
E09042.mat 16x1+24 1000.0(0)/mV 16 0 -19 27799 0 aVL
E09042.mat 16x1+24 1000.0(0)/mV 16 0 90 25793 0 aVF
E09042.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31209 0 V1
E09042.mat 16x1+24 1000.0(0)/mV 16 0 204 4489 0 V2
E09042.mat 16x1+24 1000.0(0)/mV 16 0 63 -28151 0 V3
E09042.mat 16x1+24 1000.0(0)/mV 16 0 -19 21383 0 V4
E09042.mat 16x1+24 1000.0(0)/mV 16 0 234 -30329 0 V5
E09042.mat 16x1+24 1000.0(0)/mV 16 0 209 10817 0 V6
# Age: 59
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown