Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(724 bytes)
E01316 12 500 5000
E01316.mat 16x1+24 1000.0(0)/mV 16 0 9 -26433 0 I
E01316.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17815 0 II
E01316.mat 16x1+24 1000.0(0)/mV 16 0 -19 7736 0 III
E01316.mat 16x1+24 1000.0(0)/mV 16 0 0 22018 0 aVR
E01316.mat 16x1+24 1000.0(0)/mV 16 0 14 -17199 0 aVL
E01316.mat 16x1+24 1000.0(0)/mV 16 0 -14 -5769 0 aVF
E01316.mat 16x1+24 1000.0(0)/mV 16 0 9 -4008 0 V1
E01316.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2397 0 V2
E01316.mat 16x1+24 1000.0(0)/mV 16 0 97 -28772 0 V3
E01316.mat 16x1+24 1000.0(0)/mV 16 0 68 8843 0 V4
E01316.mat 16x1+24 1000.0(0)/mV 16 0 58 15828 0 V5
E01316.mat 16x1+24 1000.0(0)/mV 16 0 19 17415 0 V6
# Age: 58
# Sex: Female
# Dx: 428750005,426177001,427393009
# Rx: Unknown
# Hx: Unknown