Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(736 bytes)
E07958 12 500 5000
E07958.mat 16x1+24 1000.0(0)/mV 16 0 97 -24613 0 I
E07958.mat 16x1+24 1000.0(0)/mV 16 0 48 21796 0 II
E07958.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19630 0 III
E07958.mat 16x1+24 1000.0(0)/mV 16 0 -73 1402 0 aVR
E07958.mat 16x1+24 1000.0(0)/mV 16 0 73 -2417 0 aVL
E07958.mat 16x1+24 1000.0(0)/mV 16 0 0 977 0 aVF
E07958.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10774 0 V1
E07958.mat 16x1+24 1000.0(0)/mV 16 0 -117 -32306 0 V2
E07958.mat 16x1+24 1000.0(0)/mV 16 0 0 -20665 0 V3
E07958.mat 16x1+24 1000.0(0)/mV 16 0 -68 -4968 0 V4
E07958.mat 16x1+24 1000.0(0)/mV 16 0 -68 3161 0 V5
E07958.mat 16x1+24 1000.0(0)/mV 16 0 117 -22396 0 V6
# Age: 82
# Sex: Male
# Dx: 59118001,39732003,164889003,164873001
# Rx: Unknown
# Hx: Unknown