Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(735 bytes)
E06843 12 500 5000
E06843.mat 16x1+24 1000.0(0)/mV 16 0 -19 -25482 0 I
E06843.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20487 0 II
E06843.mat 16x1+24 1000.0(0)/mV 16 0 -48 4603 0 III
E06843.mat 16x1+24 1000.0(0)/mV 16 0 43 -9717 0 aVR
E06843.mat 16x1+24 1000.0(0)/mV 16 0 14 17834 0 aVL
E06843.mat 16x1+24 1000.0(0)/mV 16 0 -58 -8031 0 aVF
E06843.mat 16x1+24 1000.0(0)/mV 16 0 322 797 0 V1
E06843.mat 16x1+24 1000.0(0)/mV 16 0 0 -23668 0 V2
E06843.mat 16x1+24 1000.0(0)/mV 16 0 -87 -668 0 V3
E06843.mat 16x1+24 1000.0(0)/mV 16 0 19 -25715 0 V4
E06843.mat 16x1+24 1000.0(0)/mV 16 0 29 -23034 0 V5
E06843.mat 16x1+24 1000.0(0)/mV 16 0 0 6254 0 V6
# Age: 53
# Sex: Female
# Dx: 39732003,425623009,164917005,111975006
# Rx: Unknown
# Hx: Unknown