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相关论文: Brain Functional Connectivity under Teleoperation …

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Providing an accurate and efficient assessment of operative difficulty is important for designing robot-assisted teleoperation interfaces that are easy and natural for human operators to use. In this paper, we aim to develop a data-driven…

机器人学 · 计算机科学 2021-02-09 Ziheng Wang , Cong Feng , Jie Zhang , Ann Majewicz Fey

Intrinsic connectivity networks (ICNs) are specific dynamic functional brain networks that are consistently found under various conditions including rest and task. Studies have shown that some stimuli actually activate intrinsic…

应用统计 · 统计学 2021-07-21 Meini Tang , Chee-Ming Ting , Hernando Ombao

Teleoperation platforms often require the user to be situated at a fixed location to both visualize and control the movement of the robot and thus do not provide the operator with much mobility. One example is in existing robotic surgery…

机器人学 · 计算机科学 2022-01-12 Guanhao Fu , Ehsan Azimi , Peter Kazanzides

New trends on brain-computer interface (BCI) design are aiming to combine this technology with immersive virtual reality in order to provide a sense of realism to its users. In this study, we propose an experimental BCI to control an…

信号处理 · 电气工程与系统科学 2019-12-09 Myriam Alanis-Espinosa , David Gutiérrez

Current robotic minimally invasive surgery (RMIS) platforms provide surgeons with no haptic feedback of the robot's physical interactions. This limitation forces surgeons to rely heavily on visual feedback and can make it challenging for…

机器人学 · 计算机科学 2023-04-04 Sergio Machaca , Eric Cao , Amy Chi , Gina Adrales , Katherine J Kuchenbecker , Jeremy D Brown

Brain-computer interface (BCI) technology enables direct communication between the brain and external devices, allowing individuals to control their environment using brain signals. However, existing BCI approaches face three critical…

信号处理 · 电气工程与系统科学 2023-08-21 Sidharth Pancholi , Amita Giri

We study fundamental performance limitations of distributed feedback control in large-scale networked dynamical systems. Specifically, we address the question of whether dynamic feedback controllers perform better than static (memoryless)…

最优化与控制 · 数学 2019-03-14 Emma Tegling , Partha Mitra , Henrik Sandberg , Bassam Bamieh

Resting-state functional MRI (rs-fMRI) is widely used to noninvasively study human brain networks. Network functional connectivity is often estimated by calculating the timeseries correlation between blood-oxygen-level dependent (BOLD)…

定量方法 · 定量生物学 2017-01-25 Nan Xu , R. Nathan Spreng , Peter C. Doerschuk

Modularity is an important topological attribute for functional brain networks. Recent studies have reported that modularity of functional networks varies not only across individuals being related to demographics and cognitive performance,…

神经元与认知 · 定量生物学 2018-10-05 Makoto Fukushima , Richard F. Betzel , Ye He , Marcel A. de Reus , Martijn P. van den Heuvel , Xi-Nian Zuo , Olaf Sporns

Despite recent advances in brain research, understanding the various signals for pain and pain intensities in the brain cortex is still a complex task due to temporal and spatial variations of brain hemodynamics. In this paper we have…

神经元与认知 · 定量生物学 2015-07-28 Raul Fernandez Rojas , Xu Huang , Keng Liang Ou , Dat Tran , Sheikh Md. Rabiul Islam

Intent inferencing in teleoperation has been instrumental in aligning operator goals and coordinating actions with robotic partners. However, current intent inference methods often ignore subtle motion that can be strong indicators for a…

机器人学 · 计算机科学 2025-11-12 Michael Bowman , Xiaoli Zhang

Physical movement therapy is a crucial method of rehabilitation aimed at reinstating mobility among patients facing motor dysfunction due to neurological conditions or accidents. Such therapy is usually featured as patient-specific,…

机器人学 · 计算机科学 2024-12-06 Teng Li

We investigate the relationship of resting-state fMRI functional connectivity estimated over long periods of time with time-varying functional connectivity estimated over shorter time intervals. We show that using Pearson's correlation to…

神经元与认知 · 定量生物学 2016-09-08 Richard F. Betzel , Makoto Fukushima , Ye He , Xi-Nian Zuo , Olaf Sporns

Functional connectivity of cognitive tasks allows researchers to analyse the interaction mapping occurring between different regions of the brain using electroencephalography (EEG) signals. Standard practice in functional connectivity…

人机交互 · 计算机科学 2019-07-23 Saugat Bhattacharyya , Mitsuhiro Hayashibe

Robotic telemanipulation - the human-guided manipulation of remote objects - plays a pivotal role in several applications, from healthcare to operations in harsh environments. While visual feedback from cameras can provide valuable…

机器人学 · 计算机科学 2024-12-04 Gabriele Giudici , Claudio Coppola , Kaspar Althoefer , Ildar Farkhatdinov , Lorenzo Jamone

Recent studies invoke the superiority of the multivariate Total Correlation concept over the conventional pairwise measures of functional connectivity in biological networks. Those seminal works certainly show that empirical measures of…

神经元与认知 · 定量生物学 2023-12-25 Qiang Li , Greg Ver Steeg , Jesus Malo

Short-term changes in efficacy have been postulated to enhance the ability of synapses to transmit information between neurons, and within neuronal networks. Even at the level of connections between single neurons, direct confirmation of…

神经元与认知 · 定量生物学 2012-04-30 Pat Scott , Anna I. Cowan , Christian Stricker

System-imposed wait times can significantly disrupt digital workflows, affecting user experience and task performance. Prior HCI research has examined how temporal feedback, such as feedback mode (Elapsed-Time vs. Remaining-Time) shapes…

人机交互 · 计算机科学 2026-02-05 Felicia Fang-Yi Tan , Oded Nov

Operators experience complicated physiological and psychological states when exposed to extreme heat stress, which can impair cognitive function and decrease performance significantly, ultimately leading to severe secondary disasters.…

人机交互 · 计算机科学 2024-04-04 Yan Zhang , Ming Jia , Meng Li , JianYu Wang , XiangMin Hu , ZhiHui Xu , Tao Chen

In minimally invasive telesurgery, obtaining accurate force information is difficult due to the complexities of in-vivo end effector force sensing. This constrains development and implementation of haptic feedback and force-based automated…

机器人学 · 计算机科学 2024-03-28 Shuyuan Yang , My H. Le , Kyle R. Golobish , Juan C. Beaver , Zonghe Chua