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

File: <base>/training/georgia/g6/E05404.hea (722 bytes) 
E05404 12 500 5000
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -29 27528 0 I
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -19 15640 0 II
E05404.mat 16x1+24 1000.0(0)/mV 16 0 9 -10550 0 III
E05404.mat 16x1+24 1000.0(0)/mV 16 0 24 -21636 0 aVR
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14448 0 aVL
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -4 -30356 0 aVF
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -19 7113 0 V1
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -19 13429 0 V2
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1501 0 V3
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8731 0 V4
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -29 19855 0 V5
E05404.mat 16x1+24 1000.0(0)/mV 16 0 -48 -934 0 V6
# Age: 60
# Sex: Female
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown