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

File: <base>/training/georgia/g10/E09921.hea (711 bytes) 
E09921 12 500 5000
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -107 3352 0 I
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -107 -12084 0 II
E09921.mat 16x1+24 1000.0(0)/mV 16 0 0 -15904 0 III
E09921.mat 16x1+24 1000.0(0)/mV 16 0 107 4166 0 aVR
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -53 9637 0 aVL
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -53 -13938 0 aVF
E09921.mat 16x1+24 1000.0(0)/mV 16 0 39 -28445 0 V1
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -39 -5445 0 V2
E09921.mat 16x1+24 1000.0(0)/mV 16 0 68 -10586 0 V3
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20392 0 V4
E09921.mat 16x1+24 1000.0(0)/mV 16 0 -9 3599 0 V5
E09921.mat 16x1+24 1000.0(0)/mV 16 0 19 15297 0 V6
# Age: 72
# Sex: Female
# Dx: 251146004
# Rx: Unknown
# Hx: Unknown