Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(779 bytes)
E03303 12 500 5000
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -517 -15485 0 I
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -419 8798 0 II
E03303.mat 16x1+24 1000.0(0)/mV 16 0 97 24346 0 III
E03303.mat 16x1+24 1000.0(0)/mV 16 0 468 -29547 0 aVR
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -307 -19763 0 aVL
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -161 -16049 0 aVF
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -204 26441 0 V1
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -614 -11806 0 V2
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -126 -26691 0 V3
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -165 -22581 0 V4
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -165 -31676 0 V5
E03303.mat 16x1+24 1000.0(0)/mV 16 0 -156 -12833 0 V6
# Age: 64
# Sex: Male
# Dx: 698252002,270492004,425419005,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown