Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
E09654 12 500 5000
E09654.mat 16x1+24 1000.0(0)/mV 16 0 48 -29390 0 I
E09654.mat 16x1+24 1000.0(0)/mV 16 0 14 -22722 0 II
E09654.mat 16x1+24 1000.0(0)/mV 16 0 -34 7645 0 III
E09654.mat 16x1+24 1000.0(0)/mV 16 0 -31 25731 0 aVR
E09654.mat 16x1+24 1000.0(0)/mV 16 0 41 -18932 0 aVL
E09654.mat 16x1+24 1000.0(0)/mV 16 0 -9 -7522 0 aVF
E09654.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32638 0 V1
E09654.mat 16x1+24 1000.0(0)/mV 16 0 0 -23614 0 V2
E09654.mat 16x1+24 1000.0(0)/mV 16 0 0 -24954 0 V3
E09654.mat 16x1+24 1000.0(0)/mV 16 0 -14 -21291 0 V4
E09654.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17904 0 V5
E09654.mat 16x1+24 1000.0(0)/mV 16 0 4 -14746 0 V6
# Age: 68
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown