Fifteen novices completed a Zentangle task while their brain activity was measured with electroencephalography (EEG) and their concentration emotional state, stress, and anxiety levels were evaluated with questionnair...
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Generalized-linear dynamical models (GLDMs) remain a widely-used framework within neuroscience for modeling time-series data, such as neural spiking activity or categorical decision outcomes. Whereas the standard usag...
Purpose: Due to the large number of patients with respiratory deficiency during the COVID-19 pandemic, several governments and their respective health care services have been studying ways to complement the care provi...
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Computational models have been developed to help understand phenomena such as spasticity. In this study, we aim to develop a computational model using the Matlab-OpenSim interface to simulate the passive pendulum test...
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This study investigates the effects of different musical genres on electroencephalographic (EEG) responses in healthy subjects. The EEG technique was analyzed for five different music styles, such as classical, rock, ...
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Traumatic brain injuries (TBIs) are a major health risk that increases with age. Natural brain aging results in cerebral atrophy and the enlargement of the ventricular regions. The objective of this study is to invest...
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Peripheral arterial disease (PAD) is the narrowing of the arteries within the lower extremities, which inhibits blood flow to the foot. We present the use of dynamic diffuse optical tomography (DDOT) system to measure...
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Advancements in high-frequency communication devices have emphasized miniaturization and low energy consumption. This work focuses on developing microwave dielectric materials characterized by an ultra-low dielectric ...
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Selection of bioreactor system depends on many factors such as type of products, process of culture, and product density. No standard for development methodology is available nowadays. This work demonstrated the devel...
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This paper presents a study on the design of a finger interface to improve the teleoperation of a miniaturized surgical instrument with a bendable distal section. A unique design principle employing the kinematic simi...
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ISBN:
(数字)9798331528249
ISBN:
(纸本)9798331528256
This paper presents a study on the design of a finger interface to improve the teleoperation of a miniaturized surgical instrument with a bendable distal section. A unique design principle employing the kinematic similarity between the human motion and the follower robot has been proposed for such instruments, which may result in embodied teleoperation, enhancing the overall telepresence experience. According to the principle, a design for an index finger interface was proposed, consisting of a sub-unit measuring finger motion and a handle. When the interface is connected to a robotic platform, it can control the entire tool motion in two separate ways: distal bending by the sub-unit and overall tool motion by the handle. A human subject test was conducted for trajectory-following tasks in a virtual environment, and their performance score was quantified for analysis of the learning curve. Based on the satisfactory learning rate of 75.78% for all nine subjects, the proposed finger interface could be a promising interface for a miniature surgical instrument with a long bendable section at the distal end.
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