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

File: <base>/training/georgia/g5/E04530.hea (710 bytes) 
E04530 12 500 5000
E04530.mat 16x1+24 1000.0(0)/mV 16 0 107 18164 0 I
E04530.mat 16x1+24 1000.0(0)/mV 16 0 78 4617 0 II
E04530.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13295 0 III
E04530.mat 16x1+24 1000.0(0)/mV 16 0 -92 -11568 0 aVR
E04530.mat 16x1+24 1000.0(0)/mV 16 0 68 16060 0 aVL
E04530.mat 16x1+24 1000.0(0)/mV 16 0 24 -4468 0 aVF
E04530.mat 16x1+24 1000.0(0)/mV 16 0 263 14033 0 V1
E04530.mat 16x1+24 1000.0(0)/mV 16 0 214 8294 0 V2
E04530.mat 16x1+24 1000.0(0)/mV 16 0 68 -20671 0 V3
E04530.mat 16x1+24 1000.0(0)/mV 16 0 9 -31628 0 V4
E04530.mat 16x1+24 1000.0(0)/mV 16 0 146 -16000 0 V5
E04530.mat 16x1+24 1000.0(0)/mV 16 0 156 -20595 0 V6
# Age: 60
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown