Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(754 bytes)
E01513 12 500 5000
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -273 -22896 0 I
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -156 -3624 0 II
E01513.mat 16x1+24 1000.0(0)/mV 16 0 117 18780 0 III
E01513.mat 16x1+24 1000.0(0)/mV 16 0 214 -19383 0 aVR
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -195 11955 0 aVL
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -19 7695 0 aVF
E01513.mat 16x1+24 1000.0(0)/mV 16 0 409 -9256 0 V1
E01513.mat 16x1+24 1000.0(0)/mV 16 0 107 -23517 0 V2
E01513.mat 16x1+24 1000.0(0)/mV 16 0 0 -13362 0 V3
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -117 371 0 V4
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -97 261 0 V5
E01513.mat 16x1+24 1000.0(0)/mV 16 0 -195 2025 0 V6
# Age: 70
# Sex: Male
# Dx: 59118001,67741000119109,6374002,427084000,59931005
# Rx: Unknown
# Hx: Unknown