Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(721 bytes)
E03311 12 500 5000
E03311.mat 16x1+24 1000.0(0)/mV 16 0 9 6859 0 I
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3231 0 II
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10514 0 III
E03311.mat 16x1+24 1000.0(0)/mV 16 0 0 -2041 0 aVR
E03311.mat 16x1+24 1000.0(0)/mV 16 0 14 8753 0 aVL
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -14 -6544 0 aVF
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19461 0 V1
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -117 -15385 0 V2
E03311.mat 16x1+24 1000.0(0)/mV 16 0 9 2604 0 V3
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -9 9622 0 V4
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -19 7819 0 V5
E03311.mat 16x1+24 1000.0(0)/mV 16 0 -9 32423 0 V6
# Age: 63
# Sex: Male
# Dx: 428750005,270492004,426177001
# Rx: Unknown
# Hx: Unknown