Abstract
Objective: This study presents a novel approach for early detection of cognitive impairment in the elderly. The approach incorporates the use of speech sound analysis, multivariate statistics, and data-mining techniques. We have developed a speech prosody-based cognitive impairment rating (SPCIR) that can distinguish between cognitively normal controls and elderly people with mild Alzheimer's disease (mAD) or mild cognitive impairment (MCI) using prosodic signals extracted from elderly speech while administering a questionnaire. Two hundred and seventy-three Japanese subjects (73 males and 200 females between the ages of 65 and 96) participated in this study. The authors collected speech sounds from segments of dialogue during a revised Hasegawa's dementia scale (HDS-R) examination and talking about topics related to hometown, childhood, and school. The segments correspond to speech sounds from answers to questions regarding birthdate (T1), the name of the subject's elementary school (T2), time orientation (Q2), and repetition of three-digit numbers backward (Q6). As many prosodic features as possible were extracted from each of the speech sounds, including fundamental frequency, formant, and intensity features and mel-frequency cepstral coefficients. They were refined using principal component analysis and/or feature selection. The authors calculated an SPCIR using multiple linear regression analysis.
Conclusion: In addition, this study proposes a binary discrimination model of SPCIR using multivariate logistic regression and model selection with receiver operating characteristic curve analysis and reports on the sensitivity and specificity of SPCIR for diagnosis (control vs. MCI/mAD). The study also reports discriminative performances well, thereby suggesting that the proposed approach might be an effective tool for screening the elderly for mAD and MCI.
Keywords: Early detection of dementia, MCI, mild Alzheimer's disease, speech prosody-based cognitive impairment rating.
Current Alzheimer Research
Title:Easy Screening for Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech
Volume: 15 Issue: 2
Author(s): Shohei Kato*, Akira Homma and Takuto Sakuma
Affiliation:
- Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya,Japan
Keywords: Early detection of dementia, MCI, mild Alzheimer's disease, speech prosody-based cognitive impairment rating.
Abstract: Objective: This study presents a novel approach for early detection of cognitive impairment in the elderly. The approach incorporates the use of speech sound analysis, multivariate statistics, and data-mining techniques. We have developed a speech prosody-based cognitive impairment rating (SPCIR) that can distinguish between cognitively normal controls and elderly people with mild Alzheimer's disease (mAD) or mild cognitive impairment (MCI) using prosodic signals extracted from elderly speech while administering a questionnaire. Two hundred and seventy-three Japanese subjects (73 males and 200 females between the ages of 65 and 96) participated in this study. The authors collected speech sounds from segments of dialogue during a revised Hasegawa's dementia scale (HDS-R) examination and talking about topics related to hometown, childhood, and school. The segments correspond to speech sounds from answers to questions regarding birthdate (T1), the name of the subject's elementary school (T2), time orientation (Q2), and repetition of three-digit numbers backward (Q6). As many prosodic features as possible were extracted from each of the speech sounds, including fundamental frequency, formant, and intensity features and mel-frequency cepstral coefficients. They were refined using principal component analysis and/or feature selection. The authors calculated an SPCIR using multiple linear regression analysis.
Conclusion: In addition, this study proposes a binary discrimination model of SPCIR using multivariate logistic regression and model selection with receiver operating characteristic curve analysis and reports on the sensitivity and specificity of SPCIR for diagnosis (control vs. MCI/mAD). The study also reports discriminative performances well, thereby suggesting that the proposed approach might be an effective tool for screening the elderly for mAD and MCI.
Export Options
About this article
Cite this article as:
Kato Shohei *, Homma Akira and Sakuma Takuto , Easy Screening for Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech, Current Alzheimer Research 2018; 15 (2) . https://dx.doi.org/10.2174/1567205014666171120144343
DOI https://dx.doi.org/10.2174/1567205014666171120144343 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
New Advances in the Prevention, Diagnosis, Treatment, and Rehabilitation of Alzheimer's Disease
Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
Current updates on the Role of Neuroinflammation in Neurodegenerative Disorders
Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
Deep Learning for Advancing Alzheimer's Disease Research
Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
Diagnostic and therapeutic biomarkers of dementia
Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Occupational Complexity and Leisure Activities in Cognitive Aging
Current Psychopharmacology Effects of Cholinergic Enhancing Drugs on Cholinergic Transporters in the Brain and Peripheral Blood Lymphocytes of Spontaneously Hypertensive Rats
Current Alzheimer Research Cigarette Smoking and Angiogenesis: What is the Role of Endothelial Progenitor Cells?
Current Angiogenesis (Discontinued) Patterns of Gray and White Matter Changes in Individuals at Risk for Alzheimer’s Disease
Current Alzheimer Research Inflammatory Markers in Essential Hypertension: Potential Clinical Implications
Current Vascular Pharmacology Inflammatory Cardiovascular Risk Markers in Obstructive Sleep Apnoea Syndrome
Cardiovascular & Hematological Agents in Medicinal Chemistry Cardiovascular and Systemic Risk in Nonalcoholic Fatty Liver Disease - Atherosclerosis as a Major Player in the Natural Course of NAFLD
Current Pharmaceutical Design Chitosan Nanoparticles: An Approbative System for the Delivery of Herbal Bioactives
The Natural Products Journal Cognitive Consequences of a Sustained Monocyte Type 1 IFN Response in HIV-1 Infection
Current HIV Research Nimodipine Reappraised: An Old Drug With a Future
Current Neuropharmacology New Devices for Treating Acute Ischemic Stroke
Recent Patents on CNS Drug Discovery (Discontinued) Impact of Hyperhomocyst(e)inemia on Endothelial Function
Vascular Disease Prevention (Discontinued) Increased CRMP2 Phosphorylation is Observed in Alzheimers Disease; Does this Tell us Anything About Disease Development?
Current Alzheimer Research Cholesterol, Alzheimers Disease, Prion Disorders: A menage a trois?
Current Drug Targets Review About Ginkgo Biloba Special Extract EGb 761 (Ginkgo)
Current Pharmaceutical Design Patent Selections
Recent Patents on CNS Drug Discovery (Discontinued) Therapeutic Targets in the Ubiquitin-proteasome System for Alzheimer's Disease
Current Enzyme Inhibition Interplay Between Nitric Oxide and Brain-Derived Neurotrophic Factor in Neuronal Plasticity
CNS & Neurological Disorders - Drug Targets The CSF p-tau181/Aβ42 Ratio Offers a Good Accuracy “In Vivo” in the Differential Diagnosis of Alzheimer’s Dementia
Current Alzheimer Research Sugars that Glow in the Dark: Fluorescent Tagged Glucose Bioprobes and their Facilitation of the Drug Discovery Process
Current Medicinal Chemistry