Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(745 bytes)
E00454 12 500 5000
E00454.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19198 0 I
E00454.mat 16x1+24 1000.0(0)/mV 16 0 -131 17257 0 II
E00454.mat 16x1+24 1000.0(0)/mV 16 0 -122 -29093 0 III
E00454.mat 16x1+24 1000.0(0)/mV 16 0 70 -31903 0 aVR
E00454.mat 16x1+24 1000.0(0)/mV 16 0 56 4818 0 aVL
E00454.mat 16x1+24 1000.0(0)/mV 16 0 -126 26818 0 aVF
E00454.mat 16x1+24 1000.0(0)/mV 16 0 175 -26742 0 V1
E00454.mat 16x1+24 1000.0(0)/mV 16 0 122 -28615 0 V2
E00454.mat 16x1+24 1000.0(0)/mV 16 0 136 15948 0 V3
E00454.mat 16x1+24 1000.0(0)/mV 16 0 141 31140 0 V4
E00454.mat 16x1+24 1000.0(0)/mV 16 0 136 31595 0 V5
E00454.mat 16x1+24 1000.0(0)/mV 16 0 195 21073 0 V6
# Age: 71
# Sex: Male
# Dx: 698252002,81898007,253352002,270492004
# Rx: Unknown
# Hx: Unknown