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

File: <base>/training/georgia/g5/E04054.hea (739 bytes) 
E04054 12 500 5000
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -322 7857 0 I
E04054.mat 16x1+24 1000.0(0)/mV 16 0 458 3279 0 II
E04054.mat 16x1+24 1000.0(0)/mV 16 0 780 -3702 0 III
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -68 -5426 0 aVR
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -551 5707 0 aVL
E04054.mat 16x1+24 1000.0(0)/mV 16 0 619 -279 0 aVF
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -19 24737 0 V1
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -146 -4549 0 V2
E04054.mat 16x1+24 1000.0(0)/mV 16 0 419 7450 0 V3
E04054.mat 16x1+24 1000.0(0)/mV 16 0 312 23591 0 V4
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -244 -9042 0 V5
E04054.mat 16x1+24 1000.0(0)/mV 16 0 -409 -24623 0 V6
# Age: 79
# Sex: Female
# Dx: 713426002,67741000119109,39732003
# Rx: Unknown
# Hx: Unknown