Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E04456 12 500 5000
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14297 0 I
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4259 0 II
E04456.mat 16x1+24 1000.0(0)/mV 16 0 0 10265 0 III
E04456.mat 16x1+24 1000.0(0)/mV 16 0 58 -23419 0 aVR
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -29 20747 0 aVL
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -29 3205 0 aVF
E04456.mat 16x1+24 1000.0(0)/mV 16 0 39 -10537 0 V1
E04456.mat 16x1+24 1000.0(0)/mV 16 0 126 25736 0 V2
E04456.mat 16x1+24 1000.0(0)/mV 16 0 39 -23737 0 V3
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21674 0 V4
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -9 -5517 0 V5
E04456.mat 16x1+24 1000.0(0)/mV 16 0 -19 -983 0 V6
# Age: 50
# Sex: Male
# Dx: 39732003,427084000
# Rx: Unknown
# Hx: Unknown