Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E09778 12 500 5000
E09778.mat 16x1+24 1000.0(0)/mV 16 0 -19 24409 0 I
E09778.mat 16x1+24 1000.0(0)/mV 16 0 0 -15531 0 II
E09778.mat 16x1+24 1000.0(0)/mV 16 0 19 26393 0 III
E09778.mat 16x1+24 1000.0(0)/mV 16 0 9 28534 0 aVR
E09778.mat 16x1+24 1000.0(0)/mV 16 0 -19 32197 0 aVL
E09778.mat 16x1+24 1000.0(0)/mV 16 0 9 5516 0 aVF
E09778.mat 16x1+24 1000.0(0)/mV 16 0 87 -23134 0 V1
E09778.mat 16x1+24 1000.0(0)/mV 16 0 107 -11158 0 V2
E09778.mat 16x1+24 1000.0(0)/mV 16 0 136 -1903 0 V3
E09778.mat 16x1+24 1000.0(0)/mV 16 0 48 13987 0 V4
E09778.mat 16x1+24 1000.0(0)/mV 16 0 -58 11679 0 V5
E09778.mat 16x1+24 1000.0(0)/mV 16 0 48 8487 0 V6
# Age: 74
# Sex: Female
# Dx: 39732003,426177001
# Rx: Unknown
# Hx: Unknown