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

File: <base>/training/georgia/g5/E04438.hea (715 bytes) 
E04438 12 500 5000
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21610 0 I
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -68 -11920 0 II
E04438.mat 16x1+24 1000.0(0)/mV 16 0 0 9139 0 III
E04438.mat 16x1+24 1000.0(0)/mV 16 0 68 16796 0 aVR
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -34 -14737 0 aVL
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -34 -804 0 aVF
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -48 -30291 0 V1
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3914 0 V2
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -117 -24434 0 V3
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -126 -725 0 V4
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -87 8185 0 V5
E04438.mat 16x1+24 1000.0(0)/mV 16 0 -87 -29641 0 V6
# Age: 78
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown