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Related papers: Dementia Detection using Multi-modal Methods on Au…

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Developmental Dyslexia (DD) is a learning disability related to the acquisition of reading skills that affects about 5% of the population. DD can have an enormous impact on the intellectual and personal development of affected children, so…

Machine Learning · Computer Science 2020-12-14 F. J. Martinez-Murcia , A. Ortiz , Marco A. Formoso , M. Lopez-Zamora , J. L. Luque , A. Giménez

Alzheimer's Disease (AD) is a progressive neurological disorder that can result in significant cognitive impairment and dementia. Accurate and timely diagnosis is essential for effective treatment and management of this disease. In this…

Image and Video Processing · Electrical Eng. & Systems 2024-12-10 Mozhgan Naderi , Maryam Rastgarpour , Amir Reza Takhsha

The detection of Alzheimer's disease (AD) from spontaneous speech has attracted increasing attention while the sparsity of training data remains an important issue. This paper handles the issue by knowledge transfer, specifically from both…

Computation and Language · Computer Science 2024-04-02 Ziyun Cui , Wen Wu , Wei-Qiang Zhang , Ji Wu , Chao Zhang

Based on official estimates, 50 million people worldwide are affected by dementia, and this number increases by 10 million new patients every year. Without a cure, clinical prognostication and early intervention represent the most effective…

Computation and Language · Computer Science 2024-09-06 Francisco de Arriba-Pérez , Silvia García-Méndez

Agitation is one of the most prevalent symptoms in people with dementia (PwD) that can place themselves and the caregiver's safety at risk. Developing objective agitation detection approaches is important to support health and safety of PwD…

Machine Learning · Computer Science 2023-08-16 Zhidong Meng , Andrea Iaboni , Bing Ye , Kristine Newman , Alex Mihailidis , Zhihong Deng , Shehroz S. Khan

Individual's general well-being is greatly impacted by mental health conditions including depression and Post-Traumatic Stress Disorder (PTSD), underscoring the importance of early detection and precise diagnosis in order to facilitate…

Machine Learning · Computer Science 2025-02-07 Himanshi Singh , Sadhana Tiwari , Sonali Agarwal , Ritesh Chandra , Sanjay Kumar Sonbhadra , Vrijendra Singh

Several machine learning algorithms have been developed for the prediction of Alzheimer's disease and related dementia (ADRD) from spontaneous speech. However, none of these algorithms have been translated for the prediction of broader…

The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia risk in older adults. Our machine learning (ML) models captured facial, acoustic,…

Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not treated for various reasons. Previous studies have shown that…

Computation and Language · Computer Science 2024-10-30 Marcel Trotzek , Sven Koitka , Christoph M. Friedrich

Alzheimer's disease and related dementias(ADRD) affect nearly five million older adults in the United States, yet more than half remain undiagnosed. Speech-based natural language processing(NLP) offers a scalable approach for detecting…

With the global population aging rapidly, Alzheimer's disease (AD) is particularly prominent in older adults, which has an insidious onset and leads to a gradual, irreversible deterioration in cognitive domains (memory, communication,…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-15 Jinchao Li , Kaitao Song , Junan Li , Bo Zheng , Dongsheng Li , Xixin Wu , Xunying Liu , Helen Meng

Parkinsons Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced stages. With approximately 10 million people diagnosed…

Image and Video Processing · Electrical Eng. & Systems 2025-05-02 Abu Saleh Musa Miah , taro Suzuki , Jungpil Shin

\textbf{Objectives}: We aimed to investigate how errors from automatic speech recognition (ASR) systems affect dementia classification accuracy, specifically in the ``Cookie Theft'' picture description task. We aimed to assess whether…

Computation and Language · Computer Science 2024-01-12 Changye Li , Weizhe Xu , Trevor Cohen , Serguei Pakhomov

In light of the growing proportion of older individuals in our society, the timely diagnosis of Alzheimer's disease has become a crucial aspect of healthcare. In this paper, we propose a non-invasive and cost-effective detection method…

Human-Computer Interaction · Computer Science 2025-01-03 Tian Zheng , Xurong Xie , Xiaolan Peng , Hui Chen , Feng Tian

Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really…

Signal Processing · Electrical Eng. & Systems 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

Parkinson's disease (PD) is a chronic neurodegenerative disease. Early diagnosis is essential to mitigate the progressive deterioration of patients' quality of life. The most characteristic motor symptoms are very mild in the early stages,…

Machine Learning · Computer Science 2026-01-27 Beatriz Pérez-Sánchez , Noelia Sánchez-Maroño , Miguel A. Díaz-Freire

Alzheimer's disease (AD) is an irreversible and progressive brain disease that can be stopped or slowed down with medical treatment. Language changes serve as a sign that a patient's cognitive functions have been impacted, potentially…

Computation and Language · Computer Science 2018-04-19 Sweta Karlekar , Tong Niu , Mohit Bansal

Dementia and especially Alzheimer's disease (AD) are the most common causes of cognitive decline in elderly people. A spread of the above mentioned mental health problems in aging societies is causing a significant medical and economic…

Neurons and Cognition · Quantitative Biology 2018-12-03 Tomasz M. Rutkowski , Qibin Zhao , Masao S. Abe , Mihoko Otake

This paper presents a macroscopic approach to automatic detection of speech sound disorder (SSD) in child speech. Typically, SSD is manifested by persistent articulation and phonological errors on specific phonemes in the language. The…

Audio and Speech Processing · Electrical Eng. & Systems 2022-06-30 Si-Ioi Ng , Cymie Wing-Yee Ng , Jiarui Wang , Tan Lee

Cognitive decline often surfaces in language years before diagnosis. It is frequently non-experts, such as those closest to the patient, who first sense a change and raise concern. As LLMs become integrated into daily communication and used…

Computation and Language · Computer Science 2025-05-20 Lotem Peled-Cohen , Maya Zadok , Nitay Calderon , Hila Gonen , Roi Reichart