Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
E04592 12 500 5000
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -9 23402 0 I
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -78 -13902 0 II
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -68 27886 0 III
E04592.mat 16x1+24 1000.0(0)/mV 16 0 43 27838 0 aVR
E04592.mat 16x1+24 1000.0(0)/mV 16 0 29 30697 0 aVL
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -73 6858 0 aVF
E04592.mat 16x1+24 1000.0(0)/mV 16 0 39 -8493 0 V1
E04592.mat 16x1+24 1000.0(0)/mV 16 0 58 -17245 0 V2
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -4 -18758 0 V3
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28871 0 V4
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -19 -22396 0 V5
E04592.mat 16x1+24 1000.0(0)/mV 16 0 -4 -25282 0 V6
# Age: 65
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown