English
Related papers

Related papers: Complexity Measures for Quantifying Changes in Ele…

200 papers

The detection of Alzheimers disease (AD) is considered crucial, as timely intervention can improve patient outcomes. Electroencephalogram (EEG)-based diagnosis has been recognized as a non-invasive, accessible, and cost-effective approach…

Background: Dementia, marked by cognitive decline, is a global health challenge. Alzheimer's disease (AD), the leading type, accounts for ~70% of cases. Electroencephalography (EEG) measures show promise in identifying AD risk, but…

Signal Processing · Electrical Eng. & Systems 2024-11-28 Veronica Henao Isaza , David Aguillon , Carlos Andres Tobon Quintero , Francisco Lopera , John Fredy Ochoa Gomez

Alzheimers Disease (AD) is a progressive neurodegenerative disorder that poses significant challenges in its early diagnosis, often leading to delayed treatment and poorer outcomes for patients. Traditional diagnostic methods, typically…

Machine Learning · Computer Science 2025-08-06 Tatwadarshi P Nagarhalli , Sanket Patil , Vishal Pande , Uday Aswalekar , Prafulla Patil

Transcranial magnetic stimulation co-registered with electroencephalographic (TMS-EEG) has previously proven a helpful tool in the study of Alzheimer's disease (AD). In this work, we investigate the use of TMS-evoked EEG responses to…

Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes. Early diagnosis is challenging due to subtle symptoms and varied presentations, often leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Yifei Chen , Shenghao Zhu , Zhaojie Fang , Chang Liu , Binfeng Zou , Yuhe Wang , Shuo Chang , Fan Jia , Feiwei Qin , Jin Fan , Yong Peng , Changmiao Wang

Alzheimer s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, where early detection is essential for timely intervention and improved patient outcomes. Traditional diagnostic methods are…

Dementia is a syndrome characterised by the decline of different cognitive abilities. Alzheimer's Disease (AD) is the most common dementia affecting cognitive domains such as memory and learning, perceptual-motion or executive function.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-26 Juan Manuel Fernández Montenegro

Electroencephalography (EEG) provides a non-invasive, highly accessible, and cost-effective approach for detecting Alzheimer's disease (AD). However, existing methods, whether based on handcrafted feature engineering or standard deep…

Machine Learning · Computer Science 2026-02-03 Yihe Wang , Nan Huang , Nadia Mammone , Marco Cecchi , Xiang Zhang

Alzheimer's Disease is an incurable cognitive condition that affects thousands of people globally. While some diagnostic methods exist for Alzheimer's Disease, many of these methods cannot detect Alzheimer's in its earlier stages. Recently,…

Neural and Evolutionary Computing · Computer Science 2024-09-12 Akshay Sunkara , Sriram Sattiraju , Aakarshan Kumar , Zaryab Kanjiani , Himesh Anumala

As societies around the world are ageing, the number of Alzheimer's disease (AD) patients is rapidly increasing. To date, no low-cost, non-invasive biomarkers have been established to advance the objectivization of AD diagnosis and…

Alzheimer's disease (AD) is a major neurodegenerative condition that affects millions around the world. As one of the main biomarkers in the AD diagnosis procedure, brain amyloid positivity is typically identified by positron emission…

Image and Video Processing · Electrical Eng. & Systems 2026-03-10 Yanxi Chen , Mohammad Farazi , Zhangsihao Yang , Yonghui Fan , Nicholas Ashton , Eric M Reiman , Yi Su , Yalin Wang

The diagnosis of Alzheimer's disease (AD) in routine clinical practice is most commonly based on subjective clinical interpretations. Quantitative electroencephalography (QEEG) measures have been shown to reflect neurodegenerative processes…

Alzheimer's disease (AD) is the leading cause of dementia, and its early detection is crucial for effective intervention, yet current diagnostic methods often fall short in sensitivity and specificity. This study aims to detect significant…

Image and Video Processing · Electrical Eng. & Systems 2024-11-01 Milla E. Nielsen , Mads Nielsen , Mostafa Mehdipour Ghazi

The incidence of Alzheimer's disease (AD) and other forms of dementia is increasing in most western countries. For a precise and early diagnosis, several examination modalities exist, among them single-photon emission computed tomography…

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases, with around 50 million patients worldwide. Accessible and non-invasive methods of diagnosing and characterising AD are therefore urgently required.…

Neurons and Cognition · Quantitative Biology 2021-07-14 Dominik Klepl , Fei He , Min Wu , Matteo De Marco , Daniel J. Blackburn , Ptolemaios Sarrigiannis

Transcranial Magnetic Stimulation (TMS) combined with EEG recordings (TMS-EEG) has shown great potential in the study of the brain and in particular of Alzheimer's Disease (AD). In this study, we propose an automatic method of determining…

Alzheimer's disease (AD) is the most common type of dementia accompanied with brain atrophy. Structural measurements of brain atrophy in specific brain structures such as hippocampus using magnetic resonance imaging (MRI) have been reported…

Medical Physics · Physics 2016-05-10 Kenya Murase , Naohiko Gondo , Tsutomu Soma

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of dementia. It leads to a decline in memory, reasoning ability, and behavior, especially in older people. The cause of Alzheimer's Disease is…

Machine Learning · Computer Science 2025-04-03 Jing Wang , Jun-En Ding , Feng Liu , Elisa Kallioniemi , Shuqiang Wang , Wen-Xiang Tsai , Albert C. Yang

Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high variability in patient data, limited access to specialized diagnostic tests, and overreliance on single-type indicators. These challenges are…

Quantitative Methods · Quantitative Biology 2025-03-05 Yizong Xing , Dhita Putri Pratama , Yuke Wang , Yufan Zhang , Brian E. Chapman
‹ Prev 1 2 3 10 Next ›