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Objective: We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults using accelerometer data and three cognitive tests. Methods: Older adults aged 65+ with 5 days of…

Applications · Statistics 2023-11-07 Collin Sakal , Tingyou Li , Juan Li , Xinyue Li

We introduce a dynamic model for complexity control (CC) between systems, represented by time series characterized by different temporal complexity measures, as indicated by their respective inverse power law (IPL) indices. Given the…

Adaptation and Self-Organizing Systems · Physics 2024-10-25 Korosh Mahmoodi , Scott E. Kerick , Piotr J. Franaszczuk , Paolo Grigolini , Bruce J. West

While many action recognition techniques have great success on public benchmarks, such performance is not necessarily replicated in real-world scenarios, where the data comes from specific application requirements. The specific real-world…

Computer Vision and Pattern Recognition · Computer Science 2021-11-29 Saif Sayed , Vassilis Athitsos

Early diagnosis and assessment of repetitive subconcussive (rSC) brain injuries are crucial for early clinical intervention. Conventional methods, largely relying on slow fMRI, fail to capture millisecond-level early cortical dynamics,…

Neurons and Cognition · Quantitative Biology 2026-04-27 Jiajia Li , Zhenzhen Yu , Zhenghao Fu , Guozheng Xu , Jian Song

Purpose: Tracking the 3D motion of the surgical tool and the patient anatomy is a fundamental requirement for computer-assisted skull-base surgery. The estimated motion can be used both for intra-operative guidance and for downstream skill…

Computer Vision and Pattern Recognition · Computer Science 2023-05-17 Zhaoshuo Li , Hongchao Shu , Ruixing Liang , Anna Goodridge , Manish Sahu , Francis X. Creighton , Russell H. Taylor , Mathias Unberath

Atypical gaze behavior is a diagnostic hallmark of Autism Spectrum Disorder (ASD), playing a substantial role in the social and communicative challenges that individuals with ASD face. This study explores the impacts of a month-long,…

Robotics · Computer Science 2025-09-17 Rebecca Ramnauth , Frederick Shic , Brian Scassellati

Accelerometers are widely used to measure physical activity behaviour, including in children. The traditional method for processing acceleration data uses cut points to define physical activity intensity, relying on calibration studies that…

Quantitative Methods · Quantitative Biology 2022-02-22 Christopher B Thornton , Niina Kolehmainen , Kianoush Nazarpour

Human mentality develops with age and is altered in psychiatric disorders, though their underlying mechanism is unknown. In this study, we analyzed nanometer-scale three-dimensional structures of brain tissues of the anterior cingulate…

Nowadays, technology has become dominant in the daily lives of most people around the world. From children to older people, technology is present, helping in the most diverse daily tasks and allowing accessibility. However, many times these…

Human-Computer Interaction · Computer Science 2022-08-09 Edelberto Franco Silva , Bruno José Dembogurski , Gustavo Silva Semaan

Total knee arthroplasty (TKA) and total hip arthroplasty (THA) improve symptoms in end-stage osteoarthritis, yet long-term objective characterization of perioperative physical activity trajectories remains limited. We conducted a…

Early detection of atypical cognitive-motor development is critical for timely intervention, yet traditional assessments rely heavily on subjective, static evaluations. The integration of digital devices offers an opportunity for…

Anemia is a widespread global health issue, particularly among young children in low-resource settings. Traditional methods for anemia detection often require expensive equipment and expert knowledge, creating barriers to early and accurate…

Image and Video Processing · Electrical Eng. & Systems 2025-07-22 Sebastian A. Cruz Romero , Wilfredo E. Lugo Beauchamp

Treatment effect estimation (TEE) is the task of determining the impact of various treatments on patient outcomes. Current TEE methods fall short due to reliance on limited labeled data and challenges posed by sparse and high-dimensional…

Machine Learning · Computer Science 2024-03-07 Ruoqi Liu , Lingfei Wu , Ping Zhang

In robot-assisted therapy for individuals with Autism Spectrum Disorder, the workload of therapists during a therapeutic session is increased if they have to control the robot manually. To allow therapists to focus on the interaction with…

Robotics · Computer Science 2022-07-26 Michał Stolarz , Alex Mitrevski , Mohammad Wasil , Paul G. Plöger

Visual Programming Tools (VPTs) allow users to create interactive media projects such as games and animations using visual representations of programming concepts. Although VPTs have been shown to have huge potential for teaching children…

Human-Computer Interaction · Computer Science 2019-11-19 Misbahu S. Zubair , David J. Brown , Matthew Bates , Thomas Hughes-Roberts

Recent advances in medical large language models have explored Test-Time Reinforcement Learning (TTRL) to enhance reasoning. However, standard TTRL often relies on majority voting (MV) as a heuristic supervision signal, which can be…

Machine Learning · Computer Science 2026-03-11 Kailong Fan , Anqi Pu , Yichen Wu , Wanhua Li , Yicong Li , Hanspeter Pfister , Huafeng Liu , Xiang Li , Quanzheng Li , Ning Guo

Driving is a key component of independence and quality of life for older adults. However, cognitive decline associated with conditions such as mild cognitive impairment and dementia can compromise driving safety and often lead to premature…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Gelareh Hajian , Ali Abedi , Bing Ye , Jennifer Campos , Alex Mihailidis

Targeted electrical stimulation of the brain perturbs neural networks and modulates their rhythmic activity both at the site of stimulation and at remote brain regions. Understanding, or even predicting, this neuromodulatory effect is…

Neurons and Cognition · Quantitative Biology 2021-06-29 Christoforos Papasavvas , Peter Neal Taylor , Yujiang Wang

Monitoring the growth of subcortical regions of the fetal brain in ultrasound (US) images can help identify the presence of abnormal development. Manually segmenting these regions is a challenging task, but recent work has shown that it can…

Computer Vision and Pattern Recognition · Computer Science 2025-02-14 Joshua Omolegan , Pak Hei Yeung , Madeleine K. Wyburd , Linde Hesse , Monique Haak , Intergrowth-21st Consortium , Ana I. L. Namburete , Nicola K. Dinsdale

Purpose: Research has revealed that strength training can reduce the incidence of chronic diseases and physical deterioration at any age. Therefore, having a movement diagnostic system is crucial for training alone. Hence, this study…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Yinq-Rong Chern , Yuhao Lee , Hsiao-Ching Lin , Guan-Ting Chen , Ying-Hsien Chen , Fu-Sung Lin , Chih-Yao Chuang , Jenn-Jier James Lien , Chih-Hsien Huang
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