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

File: <base>/training/georgia/g5/E04291.hea (744 bytes) 
E04291 12 500 5000
E04291.mat 16x1+24 1000.0(0)/mV 16 0 19 -28425 0 I
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -175 -30473 0 II
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -195 -1373 0 III
E04291.mat 16x1+24 1000.0(0)/mV 16 0 78 29662 0 aVR
E04291.mat 16x1+24 1000.0(0)/mV 16 0 107 -13481 0 aVL
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -185 -15902 0 aVF
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -68 -23827 0 V1
E04291.mat 16x1+24 1000.0(0)/mV 16 0 9 -5541 0 V2
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -39 32377 0 V3
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -48 16362 0 V4
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -107 7769 0 V5
E04291.mat 16x1+24 1000.0(0)/mV 16 0 -146 7661 0 V6
# Age: 78
# Sex: Male
# Dx: 39732003,425419005,164934002,17338001
# Rx: Unknown
# Hx: Unknown