Top

Cognitive Neurodynamics

Published in:

01-12-2016 | Research Article

A novel method for early diagnosis of Alzheimer’s disease based on higher-order spectral estimation of spontaneous speech signals

Authors: Mahda Nasrolahzadeh, Zeynab Mohammadpoory, Javad Haddadnia

Published in: Cognitive Neurodynamics | Issue 6/2016

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

One main challenge for medical investigators is the early diagnosis of Alzheimer’s disease (AD) because it provides greater opportunities for patients to be eligible for more clinical trials. In this study, higher order spectra of human speech signals during AD were explored to analyze and compare the quadratic phase coupling of spontaneous speech signals for healthy and AD subjects using bispectrum and bicoherence. The results showed that the quadratic phase couplings of spontaneous speech signal of persons with Alzheimer’s were reduced compared to healthy subject. However, the speech phase coupled harmonics shifted to the higher frequencies in Alzheimer’s than healthy subjects. In addition, it was shown not only are there significant differences between Alzheimer’s and control subjects in parameters estimated, but also the speech patterns appeared to have fluctuated in both types of spontaneous speech.

previous article The oscillation-like activity in bullfrog ON–OFF retinal ganglion cell

next article Robust frequency recognition for SSVEP-based BCI with temporally local multivariate synchronization index

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Azarbarzin A, Moussavi Z (2011) Nonlinear properties of snoring sounds. In: 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 4316–4319

Buiza C (2010) Evaluación y tratamiento de los trastornosdellenguaje. Matia Fundazioa, Donostia

Childers DG (ed) (1978) Modern spectrum analysis. IEEE Press, New York

Chua KC, Chandran V, Acharya UR, Lim CM (2010) Application of higher order statistics/spectra in biomedical signals—a review. Med Eng Phys 32:679–689CrossRefPubMed

Dauwels J, Vialatte F, Cichocki A (2010) Diagnosis of Alzheimer’s disease from EEG signals: where are we standing? Curr Alzheimer Res 7:487–505CrossRefPubMed

Ganapathy S, Mallidi SH, Hermansky H (2014) Robust feature extraction using modulation filtering of autoregressive models. IEEE/ACM Trans Audio Speech Lang Process 22:1285–1295CrossRef

Han Y, Ma Z, Zhou P (2009) A study of gaits in Parkinson’s patients using autoregressive model. In: IEEE Conference Publications, bio-inspired computing, 2009. BIC-TA ‘09. Fourth international conference, pp 1–4

Hu WT, McMillan C, Libon D, Leight S, Forman M, Lee VMY, Trojanowski JQ, Grossman M (2010) Multimodal predictors for Alzheimer’s disease in non fluent primary progressive aphasia. Neurology 75:595–602CrossRefPubMedPubMedCentral

Jack CR Jr et al (2011) Introduction to the recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement 7:257–262CrossRef

Kippenhan JS, Barker WW, Nagel J, Grady C, Duara R (1994) Neural-network classification of normal and Alzheimer’s disease subjects using high-resolution and low-resolution PET cameras. J Nucl Med 35:7–15PubMed

Li Z, Wu Z, He Y, Fulei C (2005) Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery. Mech Syst Signal Process 19:329–339CrossRef

López de Ipiña K et al (2013) Automatic analysis of emotional response based on non-linear speech modeling oriented to Alzheimer disease diagnosis. In: IEEE 17th international conference on intelligent engineering systems, 19–21 June 2013

Martinez F, Garcia J, Perez E, Carro J, Anara JM (2012) Patrones de Prosodiaexpresiva en pacientes con enfermedadde Alzheimer. Psicothema 24:16–21

McKhann GM et al (2011) The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement 7:263–269CrossRef

Mendal JM (1991) Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some application. Proc IEEE 79:278–305CrossRef

Mesot B, Barber DA (2007) Bayesian alternative to gain adaptation in autoregressive hidden markov models, acoustics, speech and signal processing. In: ICASSP 2007. IEEE international conference, vol 2, pp II-437–II-440

Mohammadpoory Z, Haddadnia J (2014) Speech enhancement using laplacian mixture model under signal presence uncertainty. IJE Trans C Asp 27:1367–1376

Nasrolahzadeh M, Haddadnia J (2016) Poincaré plots of Spontaneous Speech Signals during Alzheimer’s disease. MitteilungenSaechsischerEntomologen 119:358–365

Nasrolahzadeh M, Mohhamadpoori Z, Haddadnia J (2014) Optimal way to find the frame length of the speech signal for diagnosis of Alzheimer’s disease with PSO. Asian J Math Comput Res 2:33–41

Nasrolahzadeh M, Mohhamadpoori Z, Haddadnia J (2015a) Adaptive neuro-fuzzy inference system for classification of speech signals in Alzheimer’s disease using acoustic and non-linear characteristics. Asian J Math Comput Res 3:122–131

Nasrolahzadeh M, Mohhamadpoori Z, Haddadnia J (2015b) Alzheimer’s disease diagnosis using spontaneous speech signals and hybrid features. Asian J Math Comput Res 7:322–331

Nasrolahzadeh M, Mohhamadpoori Z, Haddadnia J (2016) Analysis of mean square error surface and its corresponding contour plots of spontaneous speech signals in Alzheimer’s disease with adaptive wiener filter. Comput Hum Behav 61:364–371CrossRef

Nikias CL, Raghuveer MR (1987) Bispectrum estimation: a digital signal processing framework. Proc IEEE 75:869–891CrossRef

Ning T, Bronzino JD (1990) Autoregressive and bispectral analysis techniques: EEG applications. IEEE Eng Med Biol 9:47–50CrossRef

Oveisgharan S, Shamsollahi MB (2004) Speech modeling and voiced/unvoiced/mixed/silence speech segmentation with fractionally Gaussian noise based models. In: Acoustics, speech, and signal processing, 2004. Proceedings. (ICASSP ‘04). IEEE International Conference, vol 1, pp I-613–I-616

Reynolds A (2013) Alzheimer disease: focus on computed tomography. Radiol Technol 2085:187CT–211CT

Rohrer JD (2012) Structural brain imaging in frontotemporal dementia. Biochim Biophys Acta (BBA) Mol Basis Dis 1822:325–332CrossRef

Salas-Gonzalez D, Gorriz JM, Ramírez J, López M, Alvarez I, Segovia F, Chaves R, Puntonet CG (2010) Computer-aided diagnosis of Alzheimer’s disease using support vector machines and classification trees. Phys Med Biol 5:2807–2817CrossRef

Shekofteh Y, Almasganj F (2013) Autoregressive modeling of speech trajectory transformed to the reconstructed phase space for ASR purposes. Digit Signal Process 23:1923–1932CrossRef

Sigl JC, Chamoun NG (1994) An introduction to bispectral analysis for the electroencephalogram. J Clin Monit 10:392–404CrossRefPubMed

Smith BL, Nemcek SP, Swinarski KA, Jiang JJ (2013) Nonlinear source-filter coupling due to the addition of a simplified vocal tract model for excised larynx experiments. J Voice 27:261–266CrossRefPubMedPubMedCentral

SubbaRao T, Gabr MM (1984) An introduction to bispectral analysis and bilinear time series models (Lecture notes in statistics), vol 24. Springer, New York. ISBN 0-387-96039-2

Todder D, Avissar S, Schreiber G (2013) Non-linear dynamic analysis of inter-word time intervals in psychotic speech. IEEE J Transl Eng Health Med 1:2200107. doi:10.1109/JTEHM.2013.2268850

Xianda Z (1995) Modern signal processing. Tsinghua University Press, Beijing, pp 373–433

Zgallai WA (2012) Non-invasive fetal heartbeat detection using bispectral contour matching. In: ICEBEA 2012, Dubai

Zhang Q, Yang J, Li L, Li B, Liu C (2010) Study of pulse rate variability signals using bispectrum analysis. In: 4th International conference on bioinformatics and biomedical engineering (ICBBE), Chengdu

Zhang Z, Zheng H, Liang K, Wang H, Kong S, Hu J, Wu F, Sun G (2015a) Functional degeneration in dorsal and ventral attention systems in amnestic mild cognitive impairment and Alzheimer’s disease: an fMRI study. Neurosci Lett 585:160–165CrossRefPubMed

Zhang Y, Wang S, Phillips P, Dong Z, Ji G, Yang J (2015b) Detection of Alzheimer’s disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC. Biomed Signal Process Control 21:58–73CrossRef

Title: A novel method for early diagnosis of Alzheimer’s disease based on higher-order spectral estimation of spontaneous speech signals
Authors: Mahda Nasrolahzadeh
Zeynab Mohammadpoory
Javad Haddadnia
Publication date: 01-12-2016
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 6/2016
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-016-9406-0

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 6/2016

The membrane potential process of a single neuron seen as a cumulative damage process

Reflections on a giant of brain science

Neutral impulsive shunting inhibitory cellular neural networks with time-varying coefficients and leakage delays

Effect of different glucose supply conditions on neuronal energy metabolism

Semantic integration by pattern priming: experiment and cortical network model

The oscillation-like activity in bullfrog ON–OFF retinal ganglion cell