Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(734 bytes)
E03416 12 500 5000
E03416.mat 16x1+24 1000.0(0)/mV 16 0 9 23957 0 I
E03416.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19248 0 II
E03416.mat 16x1+24 1000.0(0)/mV 16 0 -19 22727 0 III
E03416.mat 16x1+24 1000.0(0)/mV 16 0 0 -2232 0 aVR
E03416.mat 16x1+24 1000.0(0)/mV 16 0 14 -32439 0 aVL
E03416.mat 16x1+24 1000.0(0)/mV 16 0 -14 -31047 0 aVF
E03416.mat 16x1+24 1000.0(0)/mV 16 0 39 -9112 0 V1
E03416.mat 16x1+24 1000.0(0)/mV 16 0 283 -10343 0 V2
E03416.mat 16x1+24 1000.0(0)/mV 16 0 429 2340 0 V3
E03416.mat 16x1+24 1000.0(0)/mV 16 0 253 -1004 0 V4
E03416.mat 16x1+24 1000.0(0)/mV 16 0 29 -13932 0 V5
E03416.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24642 0 V6
# Age: 44
# Sex: Male
# Dx: 428750005,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown