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

File: <base>/training/georgia/g5/E04422.hea (724 bytes)
E04422 12 500 5000
E04422.mat 16x1+24 1000.0(0)/mV 16 0 107 -25002 0 I
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -185 13424 0 II
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -292 -27491 0 III
E04422.mat 16x1+24 1000.0(0)/mV 16 0 39 -26897 0 aVR
E04422.mat 16x1+24 1000.0(0)/mV 16 0 200 1349 0 aVL
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -239 25656 0 aVF
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -302 -19491 0 V1
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -273 -11902 0 V2
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -273 31347 0 V3
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -741 5855 0 V4
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -224 18215 0 V5
E04422.mat 16x1+24 1000.0(0)/mV 16 0 -97 24296 0 V6
# Age: 33
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown