Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E02910 12 500 5000
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -58 31760 0 I
E02910.mat 16x1+24 1000.0(0)/mV 16 0 39 12819 0 II
E02910.mat 16x1+24 1000.0(0)/mV 16 0 97 -18360 0 III
E02910.mat 16x1+24 1000.0(0)/mV 16 0 9 -22545 0 aVR
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -78 -7614 0 aVL
E02910.mat 16x1+24 1000.0(0)/mV 16 0 68 29968 0 aVF
E02910.mat 16x1+24 1000.0(0)/mV 16 0 0 12125 0 V1
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -400 -798 0 V2
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -224 -30600 0 V3
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17099 0 V4
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -126 -30673 0 V5
E02910.mat 16x1+24 1000.0(0)/mV 16 0 -136 -23915 0 V6
# Age: 71
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown