Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(732 bytes)
E00259 12 500 5000
E00259.mat 16x1+24 1000.0(0)/mV 16 0 58 -7820 0 I
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -92 18531 0 II
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -151 26669 0 III
E00259.mat 16x1+24 1000.0(0)/mV 16 0 17 27344 0 aVR
E00259.mat 16x1+24 1000.0(0)/mV 16 0 104 15400 0 aVL
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -122 22638 0 aVF
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8928 0 V1
E00259.mat 16x1+24 1000.0(0)/mV 16 0 492 -6053 0 V2
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -39 24546 0 V3
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -24 -4710 0 V4
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -53 -14777 0 V5
E00259.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13990 0 V6
# Age: 73
# Sex: Male
# Dx: 698252002,89792004,164889003
# Rx: Unknown
# Hx: Unknown