Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(737 bytes)
E06183 12 500 5000
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -97 23146 0 I
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1801 0 II
E06183.mat 16x1+24 1000.0(0)/mV 16 0 68 -24673 0 III
E06183.mat 16x1+24 1000.0(0)/mV 16 0 63 21902 0 aVR
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -82 23906 0 aVL
E06183.mat 16x1+24 1000.0(0)/mV 16 0 19 19497 0 aVF
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -692 13707 0 V1
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -58 -923 0 V2
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -97 8254 0 V3
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -58 24968 0 V4
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -97 29714 0 V5
E06183.mat 16x1+24 1000.0(0)/mV 16 0 -78 30025 0 V6
# Age: 60
# Sex: Male
# Dx: 59118001,270492004,39732003,164873001
# Rx: Unknown
# Hx: Unknown