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

File: <base>/training/georgia/g10/E09429.hea (746 bytes) 
E09429 12 500 5000
E09429.mat 16x1+24 1000.0(0)/mV 16 0 1434 -9801 0 I
E09429.mat 16x1+24 1000.0(0)/mV 16 0 478 21495 0 II
E09429.mat 16x1+24 1000.0(0)/mV 16 0 -956 31765 0 III
E09429.mat 16x1+24 1000.0(0)/mV 16 0 -956 -6024 0 aVR
E09429.mat 16x1+24 1000.0(0)/mV 16 0 1195 -20708 0 aVL
E09429.mat 16x1+24 1000.0(0)/mV 16 0 -239 26595 0 aVF
E09429.mat 16x1+24 1000.0(0)/mV 16 0 -1459 14422 0 V1
E09429.mat 16x1+24 1000.0(0)/mV 16 0 -2020 -10342 0 V2
E09429.mat 16x1+24 1000.0(0)/mV 16 0 -34 -29177 0 V3
E09429.mat 16x1+24 1000.0(0)/mV 16 0 283 -9900 0 V4
E09429.mat 16x1+24 1000.0(0)/mV 16 0 424 -13351 0 V5
E09429.mat 16x1+24 1000.0(0)/mV 16 0 468 24652 0 V6
# Age: 57
# Sex: Female
# Dx: 428750005,164934002,59931005
# Rx: Unknown
# Hx: Unknown