AI Article Synopsis
- Telerehabilitation (TR) is increasingly popular for delivering rehab services remotely, particularly in rural areas, thanks to its effectiveness and positive initial results.
- * The article discusses a newly developed TR system that allows users to select consultation categories tailored to their needs, featuring detailed exercises for each category.
- * A bandwidth adaptation algorithm is introduced to ensure the system remains functional and efficient even in low-bandwidth scenarios, with positive feedback on video quality suggesting good potential for widespread use.*
Article Abstract
Telerehabilitation (TR) is getting ever more popular because it is effective in bringing rehabilitation services to rural populations by means of audiovisual systems and its initial implementation studies presented encouraging results. TR is proven to be helpful, with benefits in terms of reduced travel time, cost, and availability of specialists' support in local communities. However, TR systems that are usable under low-bandwidth network environments are rare. This article introduces the development of a TR system with customized consultation categories for users to choose from, depending on requirements. Each category, with its preset parameter values, is discussed in detail by demonstrating relevant rehabilitation exercises. A novel bandwidth adaptation algorithm is also presented for optimal utilization of the dynamic network conditions, which ensures the system functionality even under narrow-bandwidth environments. Experiment results show that the system is able to perform effectively in each consultation category while the rehabilitation exercises are being performed. The proposed algorithm is also verified for its ability to adapt the content quality and effectively utilize the network under constrained conditions. A survey conducted on the video quality of the system under low-bandwidth conditions shows encouraging results for a large scale deployment of the application.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1682/JRRD.2014.02.0052 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Surgeon's Digital Eye: Assessing Artificial Intelligence-generated Images in Breast Augmentation and Reduction.
Plast Reconstr Surg Glob Open
December 2024
From Division of Plastic and Reconstructive Surgery, Rutgers New Jersey Medical School, Newark, N.J.
Background: Given the public's tendency to overestimate the capability of artificial intelligence (AI) in surgical outcomes for plastic surgery, this study assesses the accuracy of AI-generated images for breast augmentation and reduction, aiming to determine if AI technology can deliver realistic expectations and can be useful in a surgical context.
Methods: We used AI platforms GetIMG, Leonardo, and Perchance to create pre- and postsurgery images of breast augmentation and reduction. Board-certified plastic surgeons and plastic surgery residents evaluated these images using 11 metrics and divided them into 2 categories: realism and clinical value.
Comparing Postoperative Outcomes of Isolated Anterior Cruciate Ligament Reconstruction and the "Terrible Triad" Anterior Cruciate Ligament Reconstruction With Medial Meniscus Ramp and Lateral Meniscus Root Repairs.
Orthop J Sports Med
December 2024
Twin Cities Orthopedics, Edina, Minnesota, USA.
Background: A new "terrible triad" has been reported to be an anterior cruciate ligament (ACL) tear with a concomitant medial meniscus ramp tear and lateral meniscus root tear. Patient-reported outcomes (PROs) for isolated ACL reconstruction (ACLR) versus an ACLR with concomitant medial meniscus ramp and lateral meniscus root repairs are not well known.
Purpose: To compare postoperative outcomes between isolated ACLR and ACLR with concomitant medial meniscus ramp and lateral meniscus root repairs.
Whole grain modified Nova ultra-processed food (UPF) definitions: a cross-sectional analysis of the impact on cardiometabolic risk measures when excluding high whole-grain foods from the UPF category in Australia.
Br J Nutr
December 2024
School of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
Ultra-processed foods (UPF), defined using the Nova classification system, are associated with increased chronic disease risk. More recently, evidence suggests the UPF subgroup of whole-grain breads and cereals is in fact linked with reduced chronic disease risk. This study aimed to explore associations of cardiometabolic risk measures with Nova UPF intake versus when foods with ≥25% or ≥50% whole grain are excluded from the definition.
View Article and Find Full Text PDFALSUntangled #77: Psilocybin.
Amyotroph Lateral Scler Frontotemporal Degener
December 2024
Department of Neurology, Duke University, Durham, NC, USA.
ALSUntangled reviews alternate and off-label treatments prompted by patient interest. Here, we review psilocybin, a chemical derived from mushrooms and belonging in the category of drugs known as psychedelics. Psilocybin has plausible mechanisms for slowing ALS progression because of its ability to cross the blood brain barrier and effect neurogenesis and inflammation.
View Article and Find Full Text PDFEvaluating the need for standardised disease manifestation categories in patients infected with the tick-borne encephalitis virus: A Delphi panel.
Ticks Tick Borne Dis
December 2024
Krankenhaus Nordwest, Frankfurt, Germany.
Categorization systems for tick-borne encephalitis virus (TBEV) infection lack consistency in classifying disease severity. To evaluate the need for a standard, consensus-based categorisation system for TBEV infection across subtypes, we gathered an expert panel of clinicians and scientists with diverse expertise in TBEV infection. Consensus was sought using the Delphi technique, which consisted of 2 web-based survey questionnaires and a final, virtual, consensus-building exercise.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!