Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(720 bytes)
E02004 12 500 5000
E02004.mat 16x1+24 1000.0(0)/mV 16 0 9 2783 0 I
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -136 6313 0 II
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -146 3501 0 III
E02004.mat 16x1+24 1000.0(0)/mV 16 0 63 -4275 0 aVR
E02004.mat 16x1+24 1000.0(0)/mV 16 0 78 32517 0 aVL
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -141 -28056 0 aVF
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -68 6862 0 V1
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -58 17012 0 V2
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -165 26983 0 V3
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -156 21747 0 V4
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -126 16156 0 V5
E02004.mat 16x1+24 1000.0(0)/mV 16 0 -78 19347 0 V6
# Age: 74
# Sex: Male
# Dx: 698252002,39732003
# Rx: Unknown
# Hx: Unknown