Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E00462 12 500 5000
E00462.mat 16x1+24 1000.0(0)/mV 16 0 -4 22001 0 I
E00462.mat 16x1+24 1000.0(0)/mV 16 0 117 -19321 0 II
E00462.mat 16x1+24 1000.0(0)/mV 16 0 122 24414 0 III
E00462.mat 16x1+24 1000.0(0)/mV 16 0 -56 -1440 0 aVR
E00462.mat 16x1+24 1000.0(0)/mV 16 0 -63 31427 0 aVL
E00462.mat 16x1+24 1000.0(0)/mV 16 0 119 -30312 0 aVF
E00462.mat 16x1+24 1000.0(0)/mV 16 0 19 29979 0 V1
E00462.mat 16x1+24 1000.0(0)/mV 16 0 151 -32052 0 V2
E00462.mat 16x1+24 1000.0(0)/mV 16 0 244 30059 0 V3
E00462.mat 16x1+24 1000.0(0)/mV 16 0 146 -6963 0 V4
E00462.mat 16x1+24 1000.0(0)/mV 16 0 0 -22784 0 V5
E00462.mat 16x1+24 1000.0(0)/mV 16 0 -19 700 0 V6
# Age: 78
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown