Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(738 bytes)
E06761 12 500 5000
E06761.mat 16x1+24 1000.0(0)/mV 16 0 19 12011 0 I
E06761.mat 16x1+24 1000.0(0)/mV 16 0 -9 27796 0 II
E06761.mat 16x1+24 1000.0(0)/mV 16 0 -29 16388 0 III
E06761.mat 16x1+24 1000.0(0)/mV 16 0 -4 -19890 0 aVR
E06761.mat 16x1+24 1000.0(0)/mV 16 0 24 30518 0 aVL
E06761.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10466 0 aVF
E06761.mat 16x1+24 1000.0(0)/mV 16 0 0 7235 0 V1
E06761.mat 16x1+24 1000.0(0)/mV 16 0 126 -17574 0 V2
E06761.mat 16x1+24 1000.0(0)/mV 16 0 146 8787 0 V3
E06761.mat 16x1+24 1000.0(0)/mV 16 0 185 -10448 0 V4
E06761.mat 16x1+24 1000.0(0)/mV 16 0 146 -31763 0 V5
E06761.mat 16x1+24 1000.0(0)/mV 16 0 97 -4004 0 V6
# Age: 76
# Sex: Male
# Dx: 270492004,425419005,426177001,164917005
# Rx: Unknown
# Hx: Unknown