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

File: <base>/training/georgia/g10/E09438.hea (722 bytes)
E09438 12 500 5000
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -68 -27516 0 I
E09438.mat 16x1+24 1000.0(0)/mV 16 0 107 -21626 0 II
E09438.mat 16x1+24 1000.0(0)/mV 16 0 175 6481 0 III
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -19 24625 0 aVR
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -122 -16871 0 aVL
E09438.mat 16x1+24 1000.0(0)/mV 16 0 141 -7634 0 aVF
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -78 6869 0 V1
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -48 15350 0 V2
E09438.mat 16x1+24 1000.0(0)/mV 16 0 19 -10699 0 V3
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -39 6004 0 V4
E09438.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19287 0 V5
E09438.mat 16x1+24 1000.0(0)/mV 16 0 9 12106 0 V6
# Age: 59
# Sex: Male
# Dx: 698252002,428750005
# Rx: Unknown
# Hx: Unknown