Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior.

In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications. To overcome the above problems, a detail preserving low illumination video image enhancement algorithm based on dark channel prior is proposed in this paper. First, a dark channel refinement method is proposed, which is defined by imposing a structure prior to the initial dark channel to improve the image brightness.

Review of Wearable Devices and Data Collection Considerations for Connected Health.

Wearable sensor technology has gradually extended its usability into a wide range of well-known applications. Wearable sensors can typically assess and quantify the wearer's physiology and are commonly employed for human activity detection and quantified self-assessment. Wearable sensors are increasingly utilised to monitor patient health, rapidly assist with disease diagnosis, and help predict and often improve patient outcomes.

Systematic Review and Meta-Analysis of Wound Bundles in Emergency Midline Laparotomy Identifies That It Is Time for Improvement.

Background: Emergency midline laparotomy is the cornerstone of survival in patients with peritonitis. While bundling of care elements has been shown to optimize outcomes, this has focused on elective rather than emergency abdominal surgery. The aim of this study was to undertake a systematic review and meta-analysis of factors affecting the development of surgical site infection (SSI) in patients undergoing midline emergency laparotomy.

Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis.

Early detection of Rheumatoid Arthritis (RA) and other neurological conditions is vital for effective treatment. Existing methods of detecting RA rely on observation, questionnaires, and physical measurement, each with their own weaknesses. Pharmaceutical medications and procedures aim to reduce the debilitating effect, preventing the progression of the illness and bringing the condition into remission.

Reliability and Validity of Clinically Accessible Smart Glove Technologies to Measure Joint Range of Motion.

Capturi ng hand motions for hand function evaluations is essential in the medical field. For many allied health professionals, measuring joint range of motion (ROM) is an important skill. While the universal goniometer (UG) is the most used clinical tool for measuring joint ROM, developments in current sensor technology are providing clinicians with more measurement possibilities than ever.

Sleep disturbance among Arabic breast cancer survivors.

Background: Sleep disturbance is the most common and distressing cancer symptom that negatively affects the quality of life (QoL). The main objective of this study is to determine the prevalence of sleep disturbance among Arabic women with breast cancer, post-treatment, and assess their sleep disturbance in relation to health-related QoL, demographics and treatment characteristics.

Methods: In this study, cross-sectional data were collected using the Pittsburgh Sleep Quality Index (PSQI: 19-items) and the Functional Assessment of Cancer Therapy-General (FACT-G: 27 items).

Estimating the Prevalence of Muscle Wasting, Weakness, and Sarcopenia in Hemodialysis Patients.

Objectives: Haemodialysis (HD) patients suffer from nutritional problems, which include muscle wasting, weakness, and cachexia, and are associated with poor clinical outcomes. The European Working Group for Sarcopenia in Older People (EWGSOP) and Foundations for the National Institute of Health (FNIH) have developed criteria for the assessment of sarcopenia, including the use of non-invasive techniques such as bioelectrical impedance assessment (BIA), anthropometry, and hand grip strength (HGS) dynamometry. This study investigated the prevalence of muscle wasting, weakness, and sarcopenia using the EWGSOP and FNIH criteria.

Establishing a clinical phenotype for cachexia in end stage kidney disease - study protocol.

Background: Surveys using traditional measures of nutritional status indicate that muscle wasting is common among persons with end-stage kidney disease (ESKD). Up to 75% of adults undergoing maintenance dialysis show some evidence of muscle wasting. ESKD is associated with an increase in inflammatory cytokines and can result in cachexia, with the loss of muscle and fat stores.