Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E01403 12 500 5000
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -141 13437 0 I
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -131 14070 0 II
E01403.mat 16x1+24 1000.0(0)/mV 16 0 9 -81 0 III
E01403.mat 16x1+24 1000.0(0)/mV 16 0 136 -13869 0 aVR
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -75 -25711 0 aVL
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -61 -25897 0 aVF
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -34 -662 0 V1
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -53 24513 0 V2
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -126 28040 0 V3
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -170 3618 0 V4
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -122 4599 0 V5
E01403.mat 16x1+24 1000.0(0)/mV 16 0 -97 12882 0 V6
# Age: 69
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown