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Automated transient grating spectroscopy mapping and signal control for large samples.
Rev Sci Instrum
July 2024
Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
We present developments for the mapping of large areas using transient grating spectroscopy (TGS) that allow for smoother, larger, autonomous measurements of material samples. The addition of a precise linear stage in the direction parallel to laser sampling coupled with signal optimizing control allows for hands free, self-correcting measurements. In addition, the simplification of the sample holding design to a form that is small enough to mount directly to the linear stage exhibits a straightforward, low-cost solution for automated TGS applications.
View Article and Find Full Text PDFA Helpful Assistant for Disinfection in Hand Surgery Procedures: The LocArm Holder.
Indian J Orthop
October 2022
Hand Surgery Unit EOC, Locarno's Regional Hospital, Locarno, Switzerland.
Background: Although there is no consensus regarding the best skin disinfection technique, whatever antiseptic solution is used, the "prep and drape" portion of most upper extremity procedures requires the presence of at least one operative room assistant or scrub nurse to elevate and hold the hand and forearm. Nonetheless, especially in a busy hand surgery practice and during fast procedures, an operative room assistant or scrub nurse are frequently not available leading to a reduced time efficiency between procedures.
Purpose: This article describes an innovative easy-to-use and hands-free device that helps the surgeon during disinfection of the skin and the setup of the surgical field by keeping elevated the upper limb with respect for tissues.
Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain-Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate.
Front Neuroinform
February 2022
Department of HY-KIST Bio-Convergence, Hanyang University, Seoul, South Korea.
Brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have recently attracted increasing attention in virtual reality (VR) applications as a promising tool for controlling virtual objects or generating commands in a "hands-free" manner. Video-oculography (VOG) has been frequently used as a tool to improve BCI performance by identifying the gaze location on the screen, however, current VOG devices are generally too expensive to be embedded in practical low-cost VR head-mounted display (HMD) systems. In this study, we proposed a novel calibration-free hybrid BCI system combining steady-state visual-evoked potential (SSVEP)-based BCI and electrooculogram (EOG)-based eye tracking to increase the information transfer rate (ITR) of a nine-target SSVEP-based BCI in VR environment.
View Article and Find Full Text PDFDevelopment and Evaluation of an Automated Manual Resuscitator-Based Emergency Ventilator-Alternative.
Cureus
March 2021
Emergency Medicine; Training and Educational Center for Healthcare Simulation (TECHS), Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Mass casualty incidents such as those that are being experienced during the novel coronavirus disease (COVID-19) pandemic can overwhelm local healthcare systems, where the number of casualties exceeds local resources and capabilities in a short period of time. The influx of patients with lung function deterioration as a result of COVID-19 has strained traditional ventilator supplies. To bridge the gap during ventilator shortages and to help clinicians triage patients, manual resuscitator devices can be used to deliver respirations to a patient requiring breathing support.
View Article and Find Full Text PDFPerformance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots.
Sensors (Basel)
December 2020
Group of Sensors and Actuators, Department of Electrical Engineering and Applied Physics, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany.
Assistive robots support people with limited mobility in their everyday life activities and work. However, most of the assistive systems and technologies for supporting eating and drinking require a residual mobility in arms or hands. For people without residual mobility, different hands-free controls have been developed.
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