Academic Journal
Analysis of Voice Biomarkers for the Detection of Cognitive Impairment
العنوان: | Analysis of Voice Biomarkers for the Detection of Cognitive Impairment |
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المؤلفون: | Moises R. Pacheco-Lorenzo, Heidi Christensen, Luis E. Anido-Rifon, Manuel J. Fernandez-Iglesias, Sonia M. Valladares-Rodriguez |
المصدر: | IEEE Access, Vol 12, Pp 122840-122851 (2024) |
بيانات النشر: | IEEE |
سنة النشر: | 2024 |
المجموعة: | Directory of Open Access Journals: DOAJ Articles |
مصطلحات موضوعية: | Biomarkers, cognitive impairment, dementia, regression, voice, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
الوصف: | The objective of this work is to determine whether speech obtained from interactions with a smart speaker can be used to predict the level of cognitive impairment (CI). We use a voice assistant to administer a cognitive test in Spanish, and we record the conversations in order to extract features that could potentially be used as voice biomarkers. A total of 21 participants (14 patients and 7 healthy controls) between the ages of 68 and 86 are included in the study (15 were women). Using just speech we are able to perform a regression with machine learning models, in order to predict the Global Deterioration Scale (GDS) of cognitive functions. Then, we measure the performance of the estimations with standard metrics - an $R^{2}$ of 0.74 was obtained in the best case using Support Vector Machine (SVM) algorithms. Despite needing a bigger sample of participants in future studies, this is a positive and promising result for such a non-intrusive procedure, which could potentially be used as a screening tool for automatic cognitive impairment assessment. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 2169-3536 |
Relation: | https://ieeexplore.ieee.org/document/10634155/; https://doaj.org/toc/2169-3536; https://doaj.org/article/a9942a22cfff469aa9f2992f26d4aaf7 |
DOI: | 10.1109/ACCESS.2024.3442431 |
الاتاحة: | https://doi.org/10.1109/ACCESS.2024.3442431 https://doaj.org/article/a9942a22cfff469aa9f2992f26d4aaf7 |
رقم الانضمام: | edsbas.B4ECB27F |
قاعدة البيانات: | BASE |
تدمد: | 21693536 |
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DOI: | 10.1109/ACCESS.2024.3442431 |