Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E06402 12 500 5000
E06402.mat 16x1+24 1000.0(0)/mV 16 0 -34 26481 0 I
E06402.mat 16x1+24 1000.0(0)/mV 16 0 9 -4678 0 II
E06402.mat 16x1+24 1000.0(0)/mV 16 0 43 -31916 0 III
E06402.mat 16x1+24 1000.0(0)/mV 16 0 12 -11118 0 aVR
E06402.mat 16x1+24 1000.0(0)/mV 16 0 -39 -3543 0 aVL
E06402.mat 16x1+24 1000.0(0)/mV 16 0 26 13923 0 aVF
E06402.mat 16x1+24 1000.0(0)/mV 16 0 48 10536 0 V1
E06402.mat 16x1+24 1000.0(0)/mV 16 0 92 3058 0 V2
E06402.mat 16x1+24 1000.0(0)/mV 16 0 -58 -22240 0 V3
E06402.mat 16x1+24 1000.0(0)/mV 16 0 -73 9717 0 V4
E06402.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15508 0 V5
E06402.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4397 0 V6
# Age: 67
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown