Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
E02933 12 500 5000
E02933.mat 16x1+24 1000.0(0)/mV 16 0 -87 -32368 0 I
E02933.mat 16x1+24 1000.0(0)/mV 16 0 0 -25913 0 II
E02933.mat 16x1+24 1000.0(0)/mV 16 0 87 6631 0 III
E02933.mat 16x1+24 1000.0(0)/mV 16 0 43 29129 0 aVR
E02933.mat 16x1+24 1000.0(0)/mV 16 0 -87 13283 0 aVL
E02933.mat 16x1+24 1000.0(0)/mV 16 0 43 23166 0 aVF
E02933.mat 16x1+24 1000.0(0)/mV 16 0 9 7269 0 V1
E02933.mat 16x1+24 1000.0(0)/mV 16 0 19 1525 0 V2
E02933.mat 16x1+24 1000.0(0)/mV 16 0 -48 -30616 0 V3
E02933.mat 16x1+24 1000.0(0)/mV 16 0 9 14063 0 V4
E02933.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25826 0 V5
E02933.mat 16x1+24 1000.0(0)/mV 16 0 39 -288 0 V6
# Age: 54
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown