Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
E03635 12 500 5000
E03635.mat 16x1+24 1000.0(0)/mV 16 0 -48 24258 0 I
E03635.mat 16x1+24 1000.0(0)/mV 16 0 9 -30242 0 II
E03635.mat 16x1+24 1000.0(0)/mV 16 0 58 11101 0 III
E03635.mat 16x1+24 1000.0(0)/mV 16 0 19 2955 0 aVR
E03635.mat 16x1+24 1000.0(0)/mV 16 0 -53 -26070 0 aVL
E03635.mat 16x1+24 1000.0(0)/mV 16 0 34 22983 0 aVF
E03635.mat 16x1+24 1000.0(0)/mV 16 0 195 17637 0 V1
E03635.mat 16x1+24 1000.0(0)/mV 16 0 0 15595 0 V2
E03635.mat 16x1+24 1000.0(0)/mV 16 0 -78 15234 0 V3
E03635.mat 16x1+24 1000.0(0)/mV 16 0 -48 12562 0 V4
E03635.mat 16x1+24 1000.0(0)/mV 16 0 -48 22074 0 V5
E03635.mat 16x1+24 1000.0(0)/mV 16 0 -224 -16735 0 V6
# Age: 62
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown