Objective: To compare the quality of home video recording with inpatient telemetry (IPT) to evaluate our current Home Video Telemetry (HVT) practice.
Method: To assess our HVT practice, a retrospective comparison of the video quality against IPT was conducted with the latter as the gold standard. A pilot study had been conducted in 2008 on 5 patients.Patients ( = 28) were included in each group over a period of one year.The data was collected from referral spreadsheets, King's EPR and telemetry archive.Scoring of the events captured was by consensus using two scorers.The variables compared included: visibility of the body part of interest, visibility of eyes, time of event, illumination, contrast, sound quality and picture clarity when amplified to 200%.Statistical evaluation was carried out using Shapiro-Wilk and Chi-square tests. The -value of ⩽0.05 was considered statistically significant.
Results: Significant differences were demonstrated in lighting and contrast between the two groups (HVT performed better in both).Amplified picture quality was slightly better in the HVT group.
Conclusion: Video quality of HVT is comparable to IPT, even surpassing IPT in certain aspects such as the level of illumination and contrast. Results were reconfirmed in a larger sample of patients with more variables.
Significance: Despite the user and environmental variability in HVT, it looks promising and can be seriously considered as a preferable alternative for patients who may require investigation at locations remote from an EEG laboratory.
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http://dx.doi.org/10.1016/j.cnp.2016.05.001 | DOI Listing |
JMIR Form Res
January 2025
Center for Management, University of Münster, Münster, Germany.
Background: Telemedicine is transforming health care by enabling remote diagnosis, consultation, and treatment. Despite rapid adoption during the COVID-19 pandemic, telemedicine uptake among health care professionals (HCPs) remains inconsistent due to perceived risks and lack of tailored policies. Existing studies focus on patient perspectives or general adoption factors, neglecting the complex interplay of contextual variables and trust constructs influencing HCPs' telemedicine adoption.
View Article and Find Full Text PDFPatients with anterior cruciate ligament reconstruction frequently present asymmetries in the sagittal plane dynamics when performing single leg jumps but their assessment is inaccessible to health-care professionals as it requires a complex and expensive system. With the development of deep learning methods for human pose detection, kinematics can be quantified based on a video and this study aimed to investigate whether a relatively simple 2D multibody model could predict relevant dynamic biomarkers based on the kinematics using inverse dynamics. Six participants performed ten vertical and forward single leg hops while the kinematics and the ground reaction force "GRF" were captured using an optoelectronic system coupled with a force platform.
View Article and Find Full Text PDFInt J Clin Pediatr Dent
December 2024
Department of Pedodontics, Mamata Dental College, Khammam, Telangana, India.
Aim And Background: To evaluate and compare the efficiency of a manual, electrical, and chewable toothbrush for plaque removal in children.
Materials And Methods: A total of 58 children aged 8-14 years who reported to the Department of Pedodontics. The children and guardians were familiarized with the disclosing agent, manual toothbrush, electrical toothbrush, and chewable toothbrush before the commencement of the study with the help of video and verbal demonstrations.
Int J Clin Pediatr Dent
December 2024
Department of Public Health Dentistry, KVG Dental College and Hospital, Sullia, Karnataka, India.
Aim: The aim of this research is to assess the accuracy and educational content concerning silver diamine fluoride (SDF) videos available on YouTube.
Materials And Methods: Videos were sought on YouTube using relevant keywords related to SDF in pediatric dentistry the Google Trends application. There were a total of 70 videos accessible.
Digit Health
January 2025
Independent Researcher, Calgary, Alberta, Canada.
Digital health (DH) and artificial intelligence (AI) in healthcare are rapidly evolving but were addressed synonymously by many healthcare authorities and practitioners. A deep understanding and clarification of these concepts are fundamental and a prerequisite for developing robust frameworks and practical guidelines to ensure the safety, efficacy, and effectiveness of DH solutions and AI-embedded technologies. Categorizing DH into technologies (DHTs) and services (DHSs) enables regulatory, HTA, and reimbursement bodies to develop category-specific frameworks and guidelines for evaluating these solutions effectively.
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