Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E00388 12 500 5000
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -34 -28027 0 I
E00388.mat 16x1+24 1000.0(0)/mV 16 0 419 -783 0 II
E00388.mat 16x1+24 1000.0(0)/mV 16 0 453 27576 0 III
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -192 -17991 0 aVR
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -244 4761 0 aVL
E00388.mat 16x1+24 1000.0(0)/mV 16 0 436 13344 0 aVF
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -107 20762 0 V1
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -87 7833 0 V2
E00388.mat 16x1+24 1000.0(0)/mV 16 0 24 28267 0 V3
E00388.mat 16x1+24 1000.0(0)/mV 16 0 39 -13765 0 V4
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -9 26538 0 V5
E00388.mat 16x1+24 1000.0(0)/mV 16 0 -112 30618 0 V6
# Age: 83
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown