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Interictal spikes and sharp waves in human EEG are characteristic signatures of epilepsy. These potentials originate as a result of synchronous, pathological discharge of many neurons. The reliable detection of such potentials has been the…

Biological Physics · Physics 2009-11-10 Miroslaw Latka , Ziemowit Was , Andrzej Kozik , Bruce J. West

Patient-ventilator asynchrony (PVA) is a common and critical issue during mechanical ventilation, affecting up to 85% of patients. PVA can result in clinical complications such as discomfort, sleep disruption, and potentially more severe…

Machine Learning · Computer Science 2025-03-14 Xuan-May Le , Ling Luo , Uwe Aickelin , Minh-Tuan Tran , David Berlowitz , Mark Howard

The aim of this work is to assess the influence of different degrees of adaptability of the power take-off (PTO) system on the power absorption of dense wave energy converter (WEC) arrays. The adaptability is included in simulations through…

Applied Physics · Physics 2023-05-02 Alva Bechlenberg , Yanji Wei , Bayu Jayawardhana , Antonis I. Vakis

An accurate description of the optical response of subwavelength metallic particles and nanogap structures is a key problem of plasmonics. Quantum hydrodynamic theory (QHT) has emerged as a powerful method to calculate the optical response…

Mesoscale and Nanoscale Physics · Physics 2021-03-17 Henrikh M. Baghramyan , Fabio Della Sala , Cristian Ciracì

Continuously tracking the movement of a fluid or a plume in the subsurface is a challenge that is often encountered in applications, such as tracking a plume of injected CO$_2$ or of a hazardous substance. Advances in monitoring techniques…

Numerical Analysis · Mathematics 2015-06-19 Judith Y. Li , Sivaram Ambikasaran , Eric F. Darve , Peter K. Kitanidis

Patient healthcare utilization consists of irregularly time-stamped events, such as outpatient visits, inpatient admissions, and emergency encounters, forming individualized care trajectories. Modeling these trajectories is crucial for…

Machine Learning · Computer Science 2026-04-08 Saumya Pandey , Varun Chandola

We propose a new algorithm for an adaptive optics system control law which allows to reduce the computational burden in the case of an Extremely Large Telescope (ELT) and to deal with non-stationary behaviors of the turbulence. This…

Instrumentation and Methods for Astrophysics · Physics 2015-06-17 Morgan Gray , Cyril Petit , Sergey Rodionov , Laurent Bertino , Marc Bocquet , Thierry Fusco

Physical rehabilitation programs frequently begin with a brief stay in the hospital and continue with home-based rehabilitation. Lack of feedback on exercise correctness is a significant issue in home-based rehabilitation. Automated…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Aditya Kanade , Mansi Sharma , Manivannan Muniyandi

This paper introduces an advanced Quaternion-based Unscented Kalman Filter (QUKF) for real-time, robust estimation of system states and external wrenches in assistive aerial payload transportation systems that engage in direct physical…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Hussein Naser , Hashim A. Hashim , Mojtaba Ahmadi

Haptic feedback can improve safety of teleoperated robots when situational awareness is limited or operators are inattentive. Standard potential field approaches increase haptic resistance as an obstacle is approached, which is desirable…

Robotics · Computer Science 2024-01-09 Ninghan Zhong , Kris Hauser

The extended Kalman filter (EKF) has been the industry standard for state estimation problems over the past sixty years. The Invariant Extended Kalman Filter (IEKF) is a recent development of the EKF for the class of group-affine systems on…

Loss of hand function due to conditions like stroke or multiple sclerosis significantly impacts daily activities. Robotic rehabilitation provides tools to restore hand function, while novel methods based on surface electromyography (sEMG)…

Robotics · Computer Science 2024-09-27 Tomislav Bazina , Ervin Kamenar , Maria Fonoberova , Igor Mezić

Data assimilation techniques, such as ensemble Kalman filtering, have been shown to be a highly effective and efficient way to combine noisy data with a mathematical model to track and forecast dynamical systems. However, when dealing with…

Dynamical Systems · Mathematics 2023-05-17 Stephen A Falconer , David J. B. Lloyd , Naratip Santitissadeekorn

With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the digital information must be stored and retrieved in an…

Multimedia · Computer Science 2012-08-15 Kamrul Hasan Talukder , Koichi Harada

Handheld paradigms offer an efficient and intuitive way for collecting large-scale demonstration of robot manipulation. However, achieving contact-rich bimanual manipulation through these methods remains a pivotal challenge, which is…

Robotics · Computer Science 2026-04-09 Longyan Wu , Jieji Ren , Chenghang Jiang , Junxi Zhou , Shijia Peng , Ran Huang , Guoying Gu , Li Chen , Hongyang Li

Thanks to the rapid development of CNNs and depth sensors, great progress has been made in 3D hand pose estimation. Nevertheless, it is still far from being solved for its cluttered circumstance and severe self-occlusion of hand. In this…

Robotics · Computer Science 2019-11-13 Weiguo Zhou , Xin Jiang , Chen Chen , Sijia Mei , Yun-Hui Liu

Wrist-worn smart devices are providing increased insights into human health, behaviour and performance through sophisticated analytics. However, battery life, device cost and sensor performance in the face of movement-related artefact…

Signal Processing · Electrical Eng. & Systems 2020-04-02 Eoin Brophy , Willie Muehlhausen , Alan F. Smeaton , Tomas E. Ward

Steer-by-Wire systems replace mechanical linkages, which provide benefits like weight reduction, design flexibility, and compatibility with autonomous driving. However, they are susceptible to high-frequency disturbances from unintentional…

Robotics · Computer Science 2025-12-30 Nikolai Beving , Jonas Marxen , Steffen Mueller , Johannes Betz

This paper presents an adaptive Kalman filter for a linear dynamic system perturbed by an additive disturbance. The objective is to estimate both of the state and the unknown disturbance concurrently, while learning the disturbance as a…

Optimization and Control · Mathematics 2019-10-23 Taeyoung Lee

Early detection of patient deterioration is crucial for reducing mortality rates. Heart rate data has shown promise in assessing patient health, and wearable devices offer a cost-effective solution for real-time monitoring. However,…

Artificial Intelligence · Computer Science 2025-06-04 Lo Pang-Yun Ting , Hong-Pei Chen , An-Shan Liu , Chun-Yin Yeh , Po-Lin Chen , Kun-Ta Chuang