Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(716 bytes)
E03933 12 500 5000
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -107 14245 0 I
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -39 1569 0 II
E03933.mat 16x1+24 1000.0(0)/mV 16 0 68 -13481 0 III
E03933.mat 16x1+24 1000.0(0)/mV 16 0 73 -8033 0 aVR
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -87 -19024 0 aVL
E03933.mat 16x1+24 1000.0(0)/mV 16 0 14 26931 0 aVF
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -97 10432 0 V1
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -302 7485 0 V2
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -156 -26249 0 V3
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -87 -737 0 V4
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -322 -9978 0 V5
E03933.mat 16x1+24 1000.0(0)/mV 16 0 -146 19639 0 V6
# Age: 61
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown