Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(715 bytes)
E02879 12 500 5000
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -58 105 0 I
E02879.mat 16x1+24 1000.0(0)/mV 16 0 9 -765 0 II
E02879.mat 16x1+24 1000.0(0)/mV 16 0 68 -1260 0 III
E02879.mat 16x1+24 1000.0(0)/mV 16 0 24 -32662 0 aVR
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -63 773 0 aVL
E02879.mat 16x1+24 1000.0(0)/mV 16 0 39 31789 0 aVF
E02879.mat 16x1+24 1000.0(0)/mV 16 0 0 25706 0 V1
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -78 -27867 0 V2
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13485 0 V3
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26112 0 V4
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31227 0 V5
E02879.mat 16x1+24 1000.0(0)/mV 16 0 -68 29303 0 V6
# Age: 70
# Sex: Male
# Dx: 164889003,426177001
# Rx: Unknown
# Hx: Unknown