Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E02903 12 500 5000
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15850 0 I
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -29 18703 0 II
E02903.mat 16x1+24 1000.0(0)/mV 16 0 39 -31579 0 III
E02903.mat 16x1+24 1000.0(0)/mV 16 0 48 -1379 0 aVR
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -53 -24601 0 aVL
E02903.mat 16x1+24 1000.0(0)/mV 16 0 4 26607 0 aVF
E02903.mat 16x1+24 1000.0(0)/mV 16 0 68 17800 0 V1
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16102 0 V2
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -117 -25332 0 V3
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -107 25733 0 V4
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -126 11355 0 V5
E02903.mat 16x1+24 1000.0(0)/mV 16 0 -126 -16712 0 V6
# Age: 53
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown