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「ポータブル視線追跡、アルツハイマー病・パーキンソン病の早期検出を大きく変える可能性」の検索結果

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(eye tracking OR gaze tracking OR oculomotor) AND (portable OR wearable OR mobile) AND (Alzheimer disease[MeSH] OR Parkinson disease[MeSH]) AND (early diagnosis[MeSH] OR early detection OR screening)

💡 ポータブル視線追跡技術と神経変性疾患の早期診断への応用に焦点を当て、MeSH用語と同義語を組み合わせました

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🔍 PubMed の検索結果

  • Wearable Movement-Tracking for Prodromal Parkinson's Disease Detection: A Cross-Country Validation Study.

    Fabian Kahl, Ann-Kathrin Schalkamp, Katarina Mary Gunter 他 · Movement disorders : official journal of the Movement Disorder Society · 2026

    Models trained on accelerometer data have been proposed for detecting prodromal Parkinson's disease (PD). However, uncertainties in diagnosis timing in the UK Biobank (UKBB) may affect generalizability to other cohorts. The aim of the study was to evaluate the performance of previously published models for prodromal PD detection in other international cohorts. We applied the models to data from Ge…

    📄 PubMed で読む (PMID: 42141756)
  • Combined diagnosis for Parkinson's disease via gait and eye movement disorders.

    Han Li, Wenqi Ma, Chengqian Li 他 · Parkinsonism & related disorders · 2024

    With the discovery of the potential role of gait and eye movement disorders in Parkinson's disease (PD) recognition, we intend to investigate the combined diagnostic value of gait and eye movement disorders for PD. We enrolled some Chinese PD patients and healthy controls and separated them into the training and validation sets based on enrollment time. Performance in five oculomotor paradigms and…

    📄 PubMed で読む (PMID: 38669851)
  • Shortening of Saccades as a Possible Easy-to-Use Biomarker to Detect Risk of Alzheimer's Disease.

    Sanna Hannonen, Sami Andberg, Virve Kärkkäinen 他 · Journal of Alzheimer's disease : JAD · 2022

    Wide-ranging functional defects in eye movements have been reported in Alzheimer's disease (AD) dementia. The detection of abnormal eye movements and reading problems may identify persons at risk of AD when clear clinical symptoms are lacking. To examine whether computer-based eye-tracking (ET) analysis of King-Devick (KD) test results differentiates cognitively healthy persons from persons with m…

    📄 PubMed で読む (PMID: 35662117)
  • Eye tracking - The overlooked method to measure cognition in neurodegeneration?

    A P A Bueno, J R Sato, M Hornberger 他 · Neuropsychologia · 2019

    Eye tracking (ET) studies are becoming increasingly popular due to rapid methodological and technological advances as well as the development of cost efficient and portable eye trackers. Although historically ET has been mostly employed in psychophysics or developmental cognition studies, there is also promising scope to use ET for movement disorders and measuring cognitive processes in neurodegen…

    📄 PubMed で読む (PMID: 31521634)
  • Construction of a prediction model for Alzheimer's disease using an AI-driven eye-tracking task on mobile devices.

    Qinjie Li, Jiaxin Yan, Jianfeng Ye 他 · Aging clinical and experimental research · 2024

    Eye-movement can reflect cognition and provide information on the neurodegeneration, such as Alzheimer's disease (AD). The high cost and limited accessibility of eye-movement recordings have hindered their use in clinics. We aim to develop an AI-driven eye-tracking tool for assessing AD using mobile devices with embedded cameras. 166 AD patients and 107 normal controls (NC) were enrolled. The subj…

    📄 PubMed で読む (PMID: 39725797)
  • Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability.

    S Stuart, D Hunt, J Nell 他 · Medical & biological engineering & computing · 2018

    Mobile eye-trackers are currently used during real-world tasks (e.g. gait) to monitor visual and cognitive processes, particularly in ageing and Parkinson's disease (PD). However, contextual analysis involving fixation locations during such tasks is rarely performed due to its complexity. This study adapted a validated algorithm and developed a classification method to semi-automate contextual ana…

    📄 PubMed で読む (PMID: 28712014)
  • Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment.

    Rafi U Haque, Alvince L Pongos, Cecelia M Manzanares 他 · IEEE transactions on bio-medical engineering · 2021

    Alzheimer's disease (AD) is a neurodegenerative disorder that initially presents with memory loss in the presence of underlying neurofibrillary tangle and amyloid plaque pathology. Mild cognitive impairment is the initial symptomatic stage, which is an early window for detecting cognitive impairment prior to progressive decline and dementia. We recently developed the Visuospatial Memory Eye-Tracki…

    📄 PubMed で読む (PMID: 32340935)
  • A Pilot Study: Automatically Monitoring the Physical Dysfunction of Idiopathic REM Sleep Behaviour Disorder with Wearables and Deep Learning.

    Yiyuan Zhang, Xiaoyu Chen, Qiuyue Li 他 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025

    Idiopathic Rapid eye movement (REM) sleep behavior disorder (iRBD) is considered a marker of Parkinson's disease (PD). The diagnosis and follow-up approach is video polysomnography (vPSG), which is too expensive to be accessible to the general population, and its precision could be affected by the first-night effect. Therefore, this study explores an economic approach to continuously monitoring iR…

    📄 PubMed で読む (PMID: 41336751)
  • Integrating Eye Tracking and Inertial Sensing for Enhanced Freezing of Gait Detection in Parkinson's Disease.

    Christopher L Pulliam, Jinxin Chen, James Y Liao 他 · The European journal of neuroscience · 2026

    Freezing of gait (FOG), a disabling symptom in Parkinson's disease, presents a major challenge for wearable classification algorithms that struggle to distinguish freezes from voluntary stops. To address this ambiguity, we evaluated whether incorporating eye-gaze kinematics could improve classification accuracy compared to using ankle-mounted inertial measurement units (IMUs) alone. We analyzed da…

    📄 PubMed で読む (PMID: 41891752)
  • Multimodal machine learning mobility assessment in Parkinson's disease within supervised and unsupervised settings.

    Y Celik, H Kuduz, F V Engin 他 · Journal of neuroengineering and rehabilitation · 2026

    BACKGROUND: Mobility in people with Parkinson’s disease (PwPD) is strongly context-dependent. Clinic-based assessments provide only brief snapshots under controlled conditions and may not reflect everyday functional capacity. Wearable sensors enable continuous free-living monitoring, yet most studies use unimodal signals and simple threshold-based walking detection. Multimodal sensing, combining s…

    📄 PubMed で読む (PMID: 41736034)