Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E00005 12 500 5000
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -39 24283 0 I
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -97 29135 0 II
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -58 5030 0 III
E00005.mat 16x1+24 1000.0(0)/mV 16 0 68 -26732 0 aVR
E00005.mat 16x1+24 1000.0(0)/mV 16 0 9 9787 0 aVL
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -78 17147 0 aVF
E00005.mat 16x1+24 1000.0(0)/mV 16 0 0 -4448 0 V1
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -82 27846 0 V2
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -73 -20390 0 V3
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -63 -9060 0 V4
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24048 0 V5
E00005.mat 16x1+24 1000.0(0)/mV 16 0 -53 -1905 0 V6
# Age: 83
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown