Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E01475 12 500 5000
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30371 0 I
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -39 14600 0 II
E01475.mat 16x1+24 1000.0(0)/mV 16 0 39 -20440 0 III
E01475.mat 16x1+24 1000.0(0)/mV 16 0 58 -25051 0 aVR
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4715 0 aVL
E01475.mat 16x1+24 1000.0(0)/mV 16 0 0 29655 0 aVF
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -48 -7165 0 V1
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -195 -7493 0 V2
E01475.mat 16x1+24 1000.0(0)/mV 16 0 39 10944 0 V3
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -107 3539 0 V4
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -48 18895 0 V5
E01475.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7428 0 V6
# Age: 79
# Sex: Male
# Dx: 428750005,164889003,59931005
# Rx: Unknown
# Hx: Unknown