Experimental Study on Wound Area Measurement with Mobile Devices.

Healthcare treatments might benefit from advances in artificial intelligence and technological equipment such as smartphones and smartwatches. The presence of cameras in these devices with increasingly robust and precise pattern recognition techniques can facilitate the estimation of the wound area and other telemedicine measurements. Currently, telemedicine is vital to the maintenance of the quality of the treatments remotely. This study proposes a method for measuring the wound area with mobile devices. The proposed approach relies on a multi-step process consisting of image capture, conversion to grayscale, blurring, application of a threshold with segmentation, identification of the wound part, dilation and erosion of the detected wound section, identification of accurate data related to the image, and measurement of the wound area. The proposed method was implemented with the OpenCV framework. Thus, it is a solution for healthcare systems by which to investigate and treat people with skin-related diseases. The proof-of-concept was performed with a static dataset of camera images on a desktop computer. After we validated the approach's feasibility, we implemented the method in a mobile application that allows for communication between patients, caregivers, and healthcare professionals.

An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults.

Smartphone sensors have often been proposed as pervasive measurement systems to assess mobility in older adults due to their ease of use and low-cost. This study analyzes a smartphone-based application's validity and reliability to quantify temporal variables during the single sit-to-stand test with institutionalized older adults. Forty older adults (20 women and 20 men; 78.9 ± 8.6 years) volunteered to participate in this study. All participants performed the single sit-to-stand test. Each sit-to-stand repetition was performed after an acoustic signal was emitted by the smartphone app. All data were acquired simultaneously with a smartphone and a digital video camera. The measured temporal variables were stand-up time and total time. The relative reliability and systematic bias inter-device were assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plots. In contrast, absolute reliability was assessed using the standard error of measurement and coefficient of variation (CV). Inter-device concurrent validity was assessed through correlation analysis. The absolute percent error (APE) and the accuracy were also calculated. The results showed excellent reliability (ICC = 0.92-0.97; CV = 1.85-3.03) and very strong relationships inter-devices for the stand-up time (r = 0.94) and the total time (r = 0.98). The APE was lower than 6%, and the accuracy was higher than 94%. Based on our data, the findings suggest that the smartphone application is valid and reliable to collect the stand-up time and total time during the single sit-to-stand test with older adults.

Internet Addiction: A Review of the First Twenty Years.

Easy access to communication and information technologies has increased our dependence on technology for various aspects of our lives. Nevertheless, this remarkable growth of Internet Usage has been inextricably paired with a rise of excessive and dysfunctional Internet use. Conceptualized around 1996, a few years after the inception of the World Wide Web, Internet addiction has developed into a global issue influencing varying segments of the population at different levels. Despite heated debates on its addictive nature, consensus is emerging regarding the existence of this problematic behavior. In this paper we provide a comprehensive overview of the literature on Internet addiction in last 20 years. Purpose of this paper is to present crucial findings on Internet addiction to health profession. Besides numerous benefits of Internet use, the virtual environment brings various risks in every age group. The Internet is very significant in the everyday activities of children and youth and professional interventions with this age group should be specific considering their developmental characteristics. Exposure to online risks can have long-lasting and intense negative effects. Effective programs in prevention and treatment should include a multi-sectoral and interdisciplinary approach. Detail review of the symptomatology, diagnosis model an possibilities of treatment can be multiple beneficial to the health professionals and other helping professions due to actual needs for interventions in the field of the internet addiction treatment. Internet addiction is slowly becoming a societal concern as it particularly affects adolescents and children, who are more exposed and consequently more vulnerable. Findings presented in the paper can benefit in practice of treatment internet addiction and also as framework for further researches in the field.