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

File: <base>/training/georgia/g1/E00377.hea (716 bytes) 
E00377 12 500 5000
E00377.mat 16x1+24 1000.0(0)/mV 16 0 356 7914 0 I
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -161 4975 0 II
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -517 -3990 0 III
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -97 26204 0 aVR
E00377.mat 16x1+24 1000.0(0)/mV 16 0 436 -26741 0 aVL
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -339 -110 0 aVF
E00377.mat 16x1+24 1000.0(0)/mV 16 0 380 26600 0 V1
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -195 15061 0 V2
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -473 246 0 V3
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -419 -21123 0 V4
E00377.mat 16x1+24 1000.0(0)/mV 16 0 34 -18317 0 V5
E00377.mat 16x1+24 1000.0(0)/mV 16 0 -302 -9131 0 V6
# Age: 54
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown