Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(743 bytes)
E06352 12 500 5000
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -78 3163 0 I
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15175 0 II
E06352.mat 16x1+24 1000.0(0)/mV 16 0 58 -18744 0 III
E06352.mat 16x1+24 1000.0(0)/mV 16 0 48 -26818 0 aVR
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21851 0 aVL
E06352.mat 16x1+24 1000.0(0)/mV 16 0 19 -16632 0 aVF
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -9 -7021 0 V1
E06352.mat 16x1+24 1000.0(0)/mV 16 0 87 23581 0 V2
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -97 -17118 0 V3
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -48 -7201 0 V4
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -39 15550 0 V5
E06352.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29203 0 V6
# Age: 64
# Sex: Male
# Dx: 111975006,164930006,425419005,164934002
# Rx: Unknown
# Hx: Unknown