Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
E05333 12 500 5000
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -146 -23078 0 I
E05333.mat 16x1+24 1000.0(0)/mV 16 0 19 29836 0 II
E05333.mat 16x1+24 1000.0(0)/mV 16 0 165 -13022 0 III
E05333.mat 16x1+24 1000.0(0)/mV 16 0 63 -3445 0 aVR
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -156 27846 0 aVL
E05333.mat 16x1+24 1000.0(0)/mV 16 0 92 -24440 0 aVF
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -283 16142 0 V1
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9708 0 V2
E05333.mat 16x1+24 1000.0(0)/mV 16 0 19 22614 0 V3
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -9 7159 0 V4
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -39 1852 0 V5
E05333.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29693 0 V6
# Age: 50
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown