Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E02482 12 500 5000
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -126 -18303 0 I
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -29 2680 0 II
E02482.mat 16x1+24 1000.0(0)/mV 16 0 97 20558 0 III
E02482.mat 16x1+24 1000.0(0)/mV 16 0 78 7498 0 aVR
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -112 -19152 0 aVL
E02482.mat 16x1+24 1000.0(0)/mV 16 0 34 11475 0 aVF
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4367 0 V1
E02482.mat 16x1+24 1000.0(0)/mV 16 0 68 -21363 0 V2
E02482.mat 16x1+24 1000.0(0)/mV 16 0 58 -31777 0 V3
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25715 0 V4
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -29 -843 0 V5
E02482.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16552 0 V6
# Age: 68
# Sex: Male
# Dx: 445118002,425623009,164934002
# Rx: Unknown
# Hx: Unknown