Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(740 bytes)
E09030 12 500 5000
E09030.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19903 0 I
E09030.mat 16x1+24 1000.0(0)/mV 16 0 29 27891 0 II
E09030.mat 16x1+24 1000.0(0)/mV 16 0 48 -17435 0 III
E09030.mat 16x1+24 1000.0(0)/mV 16 0 -4 -3983 0 aVR
E09030.mat 16x1+24 1000.0(0)/mV 16 0 -34 31875 0 aVL
E09030.mat 16x1+24 1000.0(0)/mV 16 0 39 -27529 0 aVF
E09030.mat 16x1+24 1000.0(0)/mV 16 0 78 11707 0 V1
E09030.mat 16x1+24 1000.0(0)/mV 16 0 322 -20389 0 V2
E09030.mat 16x1+24 1000.0(0)/mV 16 0 331 -18302 0 V3
E09030.mat 16x1+24 1000.0(0)/mV 16 0 68 -16470 0 V4
E09030.mat 16x1+24 1000.0(0)/mV 16 0 0 -8371 0 V5
E09030.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19635 0 V6
# Age: 71
# Sex: Male
# Dx: 428750005,270492004,426177001,59931005
# Rx: Unknown
# Hx: Unknown