Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(797 bytes)
E02284 12 500 5000
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24803 0 I
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -331 -28524 0 II
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -302 -4419 0 III
E02284.mat 16x1+24 1000.0(0)/mV 16 0 180 26484 0 aVR
E02284.mat 16x1+24 1000.0(0)/mV 16 0 136 -10552 0 aVL
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -317 -16303 0 aVF
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -302 -19985 0 V1
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -517 -31898 0 V2
E02284.mat 16x1+24 1000.0(0)/mV 16 0 -917 -15828 0 V3
E02284.mat 16x1+24 1000.0(0)/mV 16 0 175 -25819 0 V4
E02284.mat 16x1+24 1000.0(0)/mV 16 0 283 -24820 0 V5
E02284.mat 16x1+24 1000.0(0)/mV 16 0 273 -24073 0 V6
# Age: 58
# Sex: Male
# Dx: 428750005,111975006,164930006,164934002,164889003,426177001,425419005,59931005
# Rx: Unknown
# Hx: Unknown