Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(742 bytes)
E04284 12 500 5000
E04284.mat 16x1+24 1000.0(0)/mV 16 0 34 -19425 0 I
E04284.mat 16x1+24 1000.0(0)/mV 16 0 73 -20330 0 II
E04284.mat 16x1+24 1000.0(0)/mV 16 0 39 -396 0 III
E04284.mat 16x1+24 1000.0(0)/mV 16 0 -53 19977 0 aVR
E04284.mat 16x1+24 1000.0(0)/mV 16 0 -2 22871 0 aVL
E04284.mat 16x1+24 1000.0(0)/mV 16 0 56 22437 0 aVF
E04284.mat 16x1+24 1000.0(0)/mV 16 0 82 7614 0 V1
E04284.mat 16x1+24 1000.0(0)/mV 16 0 24 2825 0 V2
E04284.mat 16x1+24 1000.0(0)/mV 16 0 9 32548 0 V3
E04284.mat 16x1+24 1000.0(0)/mV 16 0 -43 26995 0 V4
E04284.mat 16x1+24 1000.0(0)/mV 16 0 -102 17606 0 V5
E04284.mat 16x1+24 1000.0(0)/mV 16 0 -48 -1577 0 V6
# Age: 74
# Sex: Male
# Dx: 428750005,164889003,425419005,59931005,164934002
# Rx: Unknown
# Hx: Unknown