Purpose: This research examines an approach for enhancing the efficiency of spinal surgery utilising the technological capabilities and design functionalities of wearable headsets, in this case Google Glass. The aim was to improve the efficiency of the selective dorsal rhizotomy neurosurgical procedure initially through the use of Glass via an innovative approach to information design for an intraoperative monitoring display.
Methods: Utilising primary and secondary research methods the development of a new electromyography response display for a wearable headset was undertaken.
Results: Testing proved that Glass was fit for purpose and that the new intraoperative monitor design provided an example platform for the innovative intraoperative monitoring display; however, alternative wearable headsets such as the Microsoft HoloLens could also be equally viable.
Conclusion: The new display design combined with the appropriate wearable technology could greatly benefit the selective dorsal rhizotomy procedure.
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http://dx.doi.org/10.1007/s00586-016-4626-x | DOI Listing |
Alzheimers Dement
December 2024
Huntington Medical Research Institutes, Pasadena, CA, USA.
Background: At the pre-clinical stages of Alzheimer's disease (AD) development, the accumulation of amyloid-β (Aβ) and tau induces neural toxicity, synaptic dysfunction, and excitation/inhibition instability of neural network activity, leading to cognitive decline. However, the effects of Aβ/tau accumulation on electroencephalography (EEG) functional connectivity (FC) in cognitively healthy (CH) individuals during a cognitive challenge have not been elucidated. Therefore, the main objective of this work is to evaluate the association between Aβ/tau level and brain FC during a cognitive challenge in CH individuals.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Psychology Department, Middle Tennessee State University, Murfreesboro, TN 37132, USA.
Consumer-grade EEG devices, such as the InteraXon Muse 2 headband, present a promising opportunity to enhance the accessibility and inclusivity of neuroscience research. However, their effectiveness in capturing language-related ERP components, such as the N400, remains underexplored. This study thus aimed to investigate the feasibility of using the Muse 2 to measure the N400 effect in a semantic relatedness judgment task.
View Article and Find Full Text PDFLaryngoscope
January 2025
Department of Otolaryngology-Head and Neck Surgery, Oregon Health & Science University, Portland, Oregon, U.S.A.
Objective: To examine implementation of virtual reality (VR) and Fitbit wearable activity devices in postoperative recovery.
Methods: This was a prospective, 4-arm, randomized controlled trial of patients undergoing inpatient head and neck surgery at a tertiary academic center from November 2021 to July 2022. Patients were randomized to Control, VR, Fitbit, or combined VR + Fitbit groups.
Front Robot AI
December 2024
Intelligent Robotics Research Group, Department of Computer Science, University College London, London, United Kingdom.
The sanctity of human life mandates the replacement of individuals with robotic systems in the execution of hazardous tasks. Explosive Ordnance Disposal (EOD), a field fraught with mortal danger, stands at the forefront of this transition. In this study, we explore the potential of robotic telepresence as a safeguard for human operatives, drawing on the robust capabilities demonstrated by legged manipulators in diverse operational contexts.
View Article and Find Full Text PDFEpileptic Disord
December 2024
Department of Neurology, Duke University Hospital, Durham, North Carolina, USA.
Objective: The aim of this paper was to visualize 3-dimensional (3-D) brain and electrode placement data for epilepsy surgery within an augmented reality (AR) environment using a wearable headset, with the ultimate goal of enhancing presurgical planning for epilepsy surgery and understanding the efficiency and utility of such a program in a clinical setting. The evaluation process for surgical intervention in epilepsy cases involves a series of extensive tests, including EEG, MRI, PET, SPECT, and fMRI. A second phase of assessment incorporates the placement of depth electrodes within the brain to record seizure activity.
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