Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E05639 12 500 5000
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -9 31032 0 I
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9467 0 II
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -39 25020 0 III
E05639.mat 16x1+24 1000.0(0)/mV 16 0 29 -10890 0 aVR
E05639.mat 16x1+24 1000.0(0)/mV 16 0 14 -29820 0 aVL
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -43 -25038 0 aVF
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -19 28539 0 V1
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30502 0 V2
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -185 -17978 0 V3
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -117 28155 0 V4
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -185 26665 0 V5
E05639.mat 16x1+24 1000.0(0)/mV 16 0 -107 8293 0 V6
# Age: 63
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown