Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(789 bytes)
E02523 12 500 5000
E02523.mat 16x1+24 1000.0(0)/mV 16 0 1776 -25138 0 I
E02523.mat 16x1+24 1000.0(0)/mV 16 0 575 -31068 0 II
E02523.mat 16x1+24 1000.0(0)/mV 16 0 -1200 -6444 0 III
E02523.mat 16x1+24 1000.0(0)/mV 16 0 -1176 -4770 0 aVR
E02523.mat 16x1+24 1000.0(0)/mV 16 0 1488 23442 0 aVL
E02523.mat 16x1+24 1000.0(0)/mV 16 0 -312 -18933 0 aVF
E02523.mat 16x1+24 1000.0(0)/mV 16 0 -702 -15307 0 V1
E02523.mat 16x1+24 1000.0(0)/mV 16 0 370 -16468 0 V2
E02523.mat 16x1+24 1000.0(0)/mV 16 0 800 26017 0 V3
E02523.mat 16x1+24 1000.0(0)/mV 16 0 1415 22348 0 V4
E02523.mat 16x1+24 1000.0(0)/mV 16 0 1747 -19089 0 V5
E02523.mat 16x1+24 1000.0(0)/mV 16 0 1737 -8289 0 V6
# Age: 69
# Sex: Male
# Dx: 428750005,164873001,111975006,164930006,164889003,425623009,164917005
# Rx: Unknown
# Hx: Unknown