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http://dx.doi.org/10.1515/bmt-2014-5016 | DOI Listing |
Epilepsia
January 2025
Department of Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark.
Seizure detection devices (SDDs) offer promising technological advancements in epilepsy management, providing real-time seizure monitoring and alerts for patients and caregivers. This critical review explores user perspectives and experiences with SDDs to better understand factors influencing their adoption and sustained use. An electronic literature search identified 34 relevant studies addressing common themes such as usability, motivation, comfort, accuracy, barriers, and the financial burden of these devices.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Background: Traumatic brain injury (TBI) is a significant public health issue and a leading cause of death and disability globally. Advances in clinical care have improved survival rates, leading to a growing population living with long-term effects of TBI, which can impact physical, cognitive, and emotional health. These effects often require continuous management and individualized care.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Division of Robotics, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Wearable motion capture gloves enable the precise analysis of hand and finger movements for a variety of uses, including robotic surgery, rehabilitation, and most commonly, virtual augmentation. However, many motion capture gloves restrict natural hand movement with a closed-palm design, including fabric over the palm and fingers. In order to alleviate slippage, improve comfort, reduce sizing issues, and eliminate movement restrictions, this paper presents a new low-cost data glove with an innovative open-palm and finger-free design.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Department of Computer Science, Colby College, 4000 Mayflower Hill, Waterville, 04901, Maine, USA.
In reading tasks, drift can move fixations from one word to another or even another line, invalidating the eye-tracking recording. Manual correction is time-consuming and subjective, while automated correction is fast - yet limited in accuracy. In this paper, we present Fix8 (Fixate), an open-source GUI tool that offers a novel semi-automated correction approach for eye-tracking data in reading tasks.
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