Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E00501 12 500 5000
E00501.mat 16x1+24 1000.0(0)/mV 16 0 107 24502 0 I
E00501.mat 16x1+24 1000.0(0)/mV 16 0 39 253 0 II
E00501.mat 16x1+24 1000.0(0)/mV 16 0 -68 -24350 0 III
E00501.mat 16x1+24 1000.0(0)/mV 16 0 -73 20070 0 aVR
E00501.mat 16x1+24 1000.0(0)/mV 16 0 87 24655 0 aVL
E00501.mat 16x1+24 1000.0(0)/mV 16 0 -14 20763 0 aVF
E00501.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16964 0 V1
E00501.mat 16x1+24 1000.0(0)/mV 16 0 224 -1613 0 V2
E00501.mat 16x1+24 1000.0(0)/mV 16 0 273 -6783 0 V3
E00501.mat 16x1+24 1000.0(0)/mV 16 0 292 -32474 0 V4
E00501.mat 16x1+24 1000.0(0)/mV 16 0 175 -19256 0 V5
E00501.mat 16x1+24 1000.0(0)/mV 16 0 107 -12004 0 V6
# Age: 61
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown