Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(734 bytes)
E09681 12 500 5000
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -87 1357 0 I
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4497 0 II
E09681.mat 16x1+24 1000.0(0)/mV 16 0 58 -5750 0 III
E09681.mat 16x1+24 1000.0(0)/mV 16 0 58 1480 0 aVR
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -73 3174 0 aVL
E09681.mat 16x1+24 1000.0(0)/mV 16 0 14 -5135 0 aVF
E09681.mat 16x1+24 1000.0(0)/mV 16 0 29 -15886 0 V1
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -39 20142 0 V2
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -9 2074 0 V3
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -78 -4279 0 V4
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -58 -16754 0 V5
E09681.mat 16x1+24 1000.0(0)/mV 16 0 -58 8843 0 V6
# Age: 81
# Sex: Male
# Dx: 428750005,426177001,164873001,284470004
# Rx: Unknown
# Hx: Unknown