Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(742 bytes)
E06779 12 500 5000
E06779.mat 16x1+24 1000.0(0)/mV 16 0 146 -22087 0 I
E06779.mat 16x1+24 1000.0(0)/mV 16 0 204 -9275 0 II
E06779.mat 16x1+24 1000.0(0)/mV 16 0 58 12488 0 III
E06779.mat 16x1+24 1000.0(0)/mV 16 0 -175 15843 0 aVR
E06779.mat 16x1+24 1000.0(0)/mV 16 0 43 15673 0 aVL
E06779.mat 16x1+24 1000.0(0)/mV 16 0 131 -31315 0 aVF
E06779.mat 16x1+24 1000.0(0)/mV 16 0 156 31157 0 V1
E06779.mat 16x1+24 1000.0(0)/mV 16 0 180 30161 0 V2
E06779.mat 16x1+24 1000.0(0)/mV 16 0 141 -7886 0 V3
E06779.mat 16x1+24 1000.0(0)/mV 16 0 107 14413 0 V4
E06779.mat 16x1+24 1000.0(0)/mV 16 0 170 14267 0 V5
E06779.mat 16x1+24 1000.0(0)/mV 16 0 92 8666 0 V6
# Age: 53
# Sex: Female
# Dx: 39732003,425623009,164917005,111975006
# Rx: Unknown
# Hx: Unknown