Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E01148 12 500 5000
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -43 7121 0 I
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -14 -13993 0 II
E01148.mat 16x1+24 1000.0(0)/mV 16 0 29 -21137 0 III
E01148.mat 16x1+24 1000.0(0)/mV 16 0 29 -29222 0 aVR
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -36 14276 0 aVL
E01148.mat 16x1+24 1000.0(0)/mV 16 0 7 15313 0 aVF
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -34 18117 0 V1
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -43 24196 0 V2
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -19 16002 0 V3
E01148.mat 16x1+24 1000.0(0)/mV 16 0 4 -6692 0 V4
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -34 -27118 0 V5
E01148.mat 16x1+24 1000.0(0)/mV 16 0 -34 -31243 0 V6
# Age: 65
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown