Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(757 bytes)
E04313 12 500 5000
E04313.mat 16x1+24 1000.0(0)/mV 16 0 58 -31271 0 I
E04313.mat 16x1+24 1000.0(0)/mV 16 0 68 -31367 0 II
E04313.mat 16x1+24 1000.0(0)/mV 16 0 9 247 0 III
E04313.mat 16x1+24 1000.0(0)/mV 16 0 -63 31266 0 aVR
E04313.mat 16x1+24 1000.0(0)/mV 16 0 24 -15697 0 aVL
E04313.mat 16x1+24 1000.0(0)/mV 16 0 39 -15753 0 aVF
E04313.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5175 0 V1
E04313.mat 16x1+24 1000.0(0)/mV 16 0 19 -11296 0 V2
E04313.mat 16x1+24 1000.0(0)/mV 16 0 58 11379 0 V3
E04313.mat 16x1+24 1000.0(0)/mV 16 0 39 8212 0 V4
E04313.mat 16x1+24 1000.0(0)/mV 16 0 39 6004 0 V5
E04313.mat 16x1+24 1000.0(0)/mV 16 0 9 3000 0 V6
# Age: 65
# Sex: Male
# Dx: 17338001,17338001,428750005,164930006,427084000,59931005,164934002
# Rx: Unknown
# Hx: Unknown