The estimation of the Error Related Potential from a set of trials is a challenging problem. Indeed, the Error Related Potential is of low amplitude compared to the ongoing electroencephalographic activity. In addition, simple summing over the different trials is prone to errors, since the waveform does not appear at an exact latency with respect to the trigger. In this work, we propose a method to cope with the discrepancy of these latencies of the Error Related Potential waveform and offer a framework in which the estimation of the Error Related Potential waveform reduces to a simple Singular Value Decomposition of an analytic waveform representation of the observed signal. The followed approach is promising, since we are able to explain a higher portion of the variance of the observed signal with fewer components in the expansion.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/IEMBS.2011.6091760 | DOI Listing |
J Med Internet Res
January 2025
Department of Psychiatry, Yongin Severance Hospital, Yongin, Republic of Korea.
Background: The COVID-19 pandemic has accelerated the digitalization of modern society, extending digital transformation to daily life and psychological evaluation and treatment. However, the development of competencies and literacy in handling digital technology has not kept pace, resulting in a significant disparity among individuals. Existing measurements of digital literacy were developed before widespread information and communications technology device adoption, mainly focusing on one's perceptions of their proficiency and the utility of device operation.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, USA.
Objective: To validate the use of neural radiance fields (NeRF), a state-of-the-art computer vision technique, for rapid, high-fidelity 3-dimensional (3D) reconstruction in endoscopic sinus surgery (ESS).
Study Design: An experimental cadaveric pilot study.
Setting: Academic medical center.
Healthcare (Basel)
January 2025
School of Health Sciences, Polytechnic of Leiria, Rua General Norton de Matos, Apartado 4133, 2411-901 Leiria, Portugal.
Medication errors are the most frequent and critical issues in healthcare settings, often leading to worsened clinical outcomes, increased treatment costs, extended hospital stays, and heightened mortality and morbidity rates. These errors are particularly prevalent in intensive care units (ICUs), where the complexity and critical nature of the care elevate the risks. Nurses play a pivotal role in preventing medication errors and require strategies and methods to enhance patient safety.
View Article and Find Full Text PDFOral Dis
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Objective: This study aimed to simplify the Jaw Functional Limitation Scale (JFLS) and evaluate its reliability and validity in assessing jaw function in patients with temporomandibular disorders (TMD) in primary care.
Methods: TMD patients and non-TMD participants were assessed using Diagnostic Criteria for Temporomandibular Disorders (DC/TMD). Demographic data and the 8-item JFLS questionnaire were collected to quantify jaw functional restriction.
Cureus
December 2024
Acute Medicine, Portsmouth Hospitals University NHS Trust, Portsmouth, GBR.
Cardiology, a high-acuity medical specialty, has traditionally emphasised technical expertise, often overshadowing the critical role of non-technical skills (NTS). This imbalance stems from the historical focus on procedural competence and clinical knowledge in cardiology training and practice, leaving a significant gap in the development of crucial interpersonal and cognitive abilities. However, emerging evidence highlights the significant impact of NTS on patient outcomes, team dynamics, and overall healthcare efficiency.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!