Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(729 bytes)
E04714 12 500 5000
E04714.mat 16x1+24 1000.0(0)/mV 16 0 29 20757 0 I
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -9 902 0 II
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19839 0 III
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10851 0 aVR
E04714.mat 16x1+24 1000.0(0)/mV 16 0 34 -12332 0 aVL
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -24 23481 0 aVF
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -9 4596 0 V1
E04714.mat 16x1+24 1000.0(0)/mV 16 0 9 -22745 0 V2
E04714.mat 16x1+24 1000.0(0)/mV 16 0 48 23942 0 V3
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -19 31419 0 V4
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13027 0 V5
E04714.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16375 0 V6
# Age: 68
# Sex: Female
# Dx: 428750005,270492004,426177001
# Rx: Unknown
# Hx: Unknown