Alzheimer’s disease

Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG

Author(s): Lingyun Wu, Jing Liu, Lin Zhu, Haitao Yu, Shanshan Li, Jiang Wang, Kai Li
Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG 433 380 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Alzheimer’s disease is a neurodegenerative disease in old age, early diagnosis will help to delay the progression of the disease. Presently, the features of brain functional diseases can be obtained…

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Multi-Source Transfer Learning via Ensemble Approach for Initial Diagnosis of Alzheimer’s Disease

Author(s): Yun Yang, Xinfa Li, Pei Wang, Yuelong Xia, Qiongwei Ye
Multi-Source Transfer Learning via Ensemble Approach for Initial Diagnosis of Alzheimer’s Disease 383 687 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Alzheimer’s disease (AD) is one of the most common progressive neurodegenerative diseases, and the number of AD patients has increased year after year with the global aging trend. The onset…

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Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis

Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis

Author(s): Zhe Wang, Yu Zheng, David C. Zhu, Andrea C. Bozoki, Tongtong Li
Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     This paper proposes a robust method for the Alzheimer’s disease (AD), mild cognitive impairment (MCI), and normal control subject classification under size limited fMRI data samples by exploiting the…

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Histogram-Based Features Selection and Volume Of Interest Ranking For Brain PET Image Classification

Histogram-Based Features Selection and Volume Of Interest Ranking For Brain PET Image Classification

Author(s): Imène Garali, Mouloud Adel, Salah Bourennane, Eric Guedj
Histogram-Based Features Selection and Volume Of Interest Ranking For Brain PET Image Classification 780 445 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

    Abstract Positron emission tomography (PET) is a molecular medical imaging modality which is commonly used for neurodegenerative diseases diagnosis. Computer-aided diagnosis, based on medical image analysis, could help quantitative…

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Detecting Dementia through Interactive Computer Avatars

Detecting Dementia through Interactive Computer Avatars

Author(s): Hiroki Tanaka, Hiroyoshi Adachi, Norimichi Ukita, Manabu Ikeda, Hiroaki Kazui, Takashi Kudo, Satoshi Nakamura
Detecting Dementia through Interactive Computer Avatars 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

       This paper proposes a new approach to automatically detect dementia. Even though some works have detected dementia from speech and language attributes, most have applied detection using picture descriptions,…

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