Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(726 bytes)
E09421 12 500 5000
E09421.mat 16x1+24 1000.0(0)/mV 16 0 390 5720 0 I
E09421.mat 16x1+24 1000.0(0)/mV 16 0 663 14186 0 II
E09421.mat 16x1+24 1000.0(0)/mV 16 0 273 8205 0 III
E09421.mat 16x1+24 1000.0(0)/mV 16 0 -527 22709 0 aVR
E09421.mat 16x1+24 1000.0(0)/mV 16 0 58 -1272 0 aVL
E09421.mat 16x1+24 1000.0(0)/mV 16 0 468 -21316 0 aVF
E09421.mat 16x1+24 1000.0(0)/mV 16 0 -312 1992 0 V1
E09421.mat 16x1+24 1000.0(0)/mV 16 0 146 -13729 0 V2
E09421.mat 16x1+24 1000.0(0)/mV 16 0 692 -11096 0 V3
E09421.mat 16x1+24 1000.0(0)/mV 16 0 878 18330 0 V4
E09421.mat 16x1+24 1000.0(0)/mV 16 0 985 -27261 0 V5
E09421.mat 16x1+24 1000.0(0)/mV 16 0 936 23610 0 V6
# Age: 68
# Sex: Female
# Dx: 428750005,164889003
# Rx: Unknown
# Hx: Unknown