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

File: <base>/training/georgia/g5/E04272.hea (712 bytes) 
E04272 12 500 5000
E04272.mat 16x1+24 1000.0(0)/mV 16 0 0 19818 0 I
E04272.mat 16x1+24 1000.0(0)/mV 16 0 48 13331 0 II
E04272.mat 16x1+24 1000.0(0)/mV 16 0 48 -7381 0 III
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -24 -16742 0 aVR
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -24 13691 0 aVL
E04272.mat 16x1+24 1000.0(0)/mV 16 0 48 2741 0 aVF
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -29 28592 0 V1
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -48 8931 0 V2
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18083 0 V3
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -68 32099 0 V4
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -58 8339 0 V5
E04272.mat 16x1+24 1000.0(0)/mV 16 0 -29 1099 0 V6
# Age: 60
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown