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

File: <base>/training/georgia/g10/E09483.hea (721 bytes) 
E09483 12 500 5000
E09483.mat 16x1+24 1000.0(0)/mV 16 0 -78 -19623 0 I
E09483.mat 16x1+24 1000.0(0)/mV 16 0 -19 30497 0 II
E09483.mat 16x1+24 1000.0(0)/mV 16 0 58 -16092 0 III
E09483.mat 16x1+24 1000.0(0)/mV 16 0 48 27414 0 aVR
E09483.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1376 0 aVL
E09483.mat 16x1+24 1000.0(0)/mV 16 0 19 -25578 0 aVF
E09483.mat 16x1+24 1000.0(0)/mV 16 0 68 1024 0 V1
E09483.mat 16x1+24 1000.0(0)/mV 16 0 68 -1341 0 V2
E09483.mat 16x1+24 1000.0(0)/mV 16 0 185 4515 0 V3
E09483.mat 16x1+24 1000.0(0)/mV 16 0 97 222 0 V4
E09483.mat 16x1+24 1000.0(0)/mV 16 0 19 -15026 0 V5
E09483.mat 16x1+24 1000.0(0)/mV 16 0 58 22687 0 V6
# Age: 72
# Sex: Female
# Dx: 445118002,67741000119109
# Rx: Unknown
# Hx: Unknown