Inertial Sensors for Hip Arthroplasty Rehabilitation: A Scoping Review.

The objective of this scoping review is to characterize the current panorama of inertia sensors for the rehabilitation of hip arthroplasty. In this context, the most widely used sensors are IMUs, which combine accelerometers and gyroscopes to measure acceleration and angular velocity in three axes. We found that data collected by the IMU sensors are used to analyze and detect any deviation from the normal to measure the position and movement of the hip joint. The main functions of inertial sensors are to measure various aspects of training, such as speed, acceleration, and body orientation. The reviewers extracted the most relevant articles published between 2010 and 2023 in the ACM Digital Library, PubMed, ScienceDirect, Scopus, and Web of Science. In this scoping review, the PRISMA-ScR checklist was used, and a Cohen's kappa coefficient of 0.4866 was applied, implying moderate agreement between reviewers; 23 primary studies were extracted from a total of 681. In the future, it will be an excellent challenge for experts in inertial sensors with medical applications to provide access codes for other researchers, which will be one of the most critical trends in the advancement of applications of portable inertial sensors for biomechanics.

Accessibility Analysis of Worldwide COVID-19-Related Information Portals.

Since the beginning of the COVID-19 pandemic, communication technology has demonstrated its usefulness in sharing and receiving health data and communicating with the public. This study evaluated the accessibility of 199 websites containing official COVID-19 information related to medical schools, governments, ministries, and medical associations, obtained from the Geneva Foundation for Medical Education and Research website. We used the Web Content Accessibility Guidelines 2.1 to evaluate web accessibility, using a six-phase process with an automatic review tool. The study results reveal that the highest number of barriers encountered are concentrated in the perceivable principle with 6388 errors (77.8%), followed by operability with 1457 (17.7%), then robustness with 291 (3.5%), and finally understandability with 78 errors (0.9%). This study concludes that most COVID-19-related websites that provide information on the context of the pandemic do not have an adequate level of accessibility. This study can contribute as a guide for designing inclusive websites; web accessibility should be reviewed periodically due to technological advances and the need to adapt to these changes.

Accessibility challenges of e-commerce websites.

Today, there are many e-commerce websites, but not all of them are accessible. Accessibility is a crucial element that can make a difference and determine the success or failure of a digital business. The study was applied to 50 e-commerce sites in the top rankings according to the classification proposed by ecommerceDB. In evaluating the web accessibility of e-commerce sites, we applied an automatic review method based on a modification of Website Accessibility Conformance Evaluation Methodology (WCAG-EM) 1.0. To evaluate accessibility, we used Web Accessibility Evaluation Tool (WAVE) with the extension for Google Chrome, which helps verify password-protected, locally stored, or highly dynamic pages. The study found that the correlation between the ranking of e-commerce websites and accessibility barriers is 0.329, indicating that the correlation is low positive according to Spearman's Rho. According to the WAVE analysis, the research results reveal that the top 10 most accessible websites are Sainsbury's Supermarkets, Walmart, Target Corporation, Macy's, IKEA, H&M Hennes, Chewy, Kroger, QVC, and Nike. The most significant number of accessibility barriers relate to contrast errors that must be corrected for e-commerce websites to reach an acceptable level of accessibility. The most neglected accessibility principle is perceivable, representing 83.1%, followed by operable with 13.7%, in third place is robust with 1.7% and finally understandable with 1.5%. Future work suggests constructing a software tool that includes artificial intelligence algorithms that help the software identify accessibility barriers.