Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(726 bytes)
E09830 12 500 5000
E09830.mat 16x1+24 1000.0(0)/mV 16 0 117 16543 0 I
E09830.mat 16x1+24 1000.0(0)/mV 16 0 97 -6818 0 II
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24947 0 III
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -107 -4361 0 aVR
E09830.mat 16x1+24 1000.0(0)/mV 16 0 68 20979 0 aVL
E09830.mat 16x1+24 1000.0(0)/mV 16 0 39 -15778 0 aVF
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -68 -4019 0 V1
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -175 -12098 0 V2
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -165 -14568 0 V3
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6943 0 V4
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22781 0 V5
E09830.mat 16x1+24 1000.0(0)/mV 16 0 -48 29379 0 V6
# Age: 22
# Sex: Male
# Dx: 713426002,89792004
# Rx: Unknown
# Hx: Unknown