Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer’s disease patients
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11517-008-0392-1.pdf
Reference50 articles.
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2. Abásolo D, Hornero R, Espino P et al (2006) Entropy analysis of the EEG background activity in Alzheimer’s disease patients. Physiol Meas 27:241–253. doi: 10.1088/0967-3334/27/3/003
3. Abásolo D, Hornero R, Gómez C et al (2006) Analysis of EEG background activity in Alzheimer’s disease patients with Lempel-Ziv complexity and central tendency measure. Med Eng Phys 28:315–322. doi: 10.1016/j.medengphy.2005.07.004
4. Alonso JF, Mañanas MA, Hoyer D et al (2007) Evaluation of respiratory muscles activity by means of mutual information function at different levels of ventilatory effort. IEEE Trans Biomed Eng 54:1573–1582. doi: 10.1109/TBME.2007.893494
5. Andrzejak RG, Lehnertz K, Moormann F et al (2001) Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys Rev E Stat Nonlin Soft Matter Phys 64:061907. doi: 10.1103/PhysRevE.64.061907
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