Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E05795 12 500 5000
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -9 27851 0 I
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -9 24481 0 II
E05795.mat 16x1+24 1000.0(0)/mV 16 0 0 -3607 0 III
E05795.mat 16x1+24 1000.0(0)/mV 16 0 9 6629 0 aVR
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -4 -16890 0 aVL
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -4 10582 0 aVF
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -117 -14709 0 V1
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11298 0 V2
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -146 2243 0 V3
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -234 7701 0 V4
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -165 13585 0 V5
E05795.mat 16x1+24 1000.0(0)/mV 16 0 -146 -14500 0 V6
# Age: 65
# Sex: Male
# Dx: 164873001,284470004,284470004
# Rx: Unknown
# Hx: Unknown