scholarly journals Experimental Study on Wound Area Measurement with Mobile Devices

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5762
Author(s):  
Filipe Ferreira ◽  
Ivan Miguel Pires ◽  
Vasco Ponciano ◽  
Mónica Costa ◽  
María Vanessa Villasana ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Mobile Application ◽  
Healthcare Professionals ◽  
Area Measurement ◽  
Proof Of Concept ◽  
Desktop Computer ◽  
Image Capture ◽  
Wound Area ◽  
Pattern Recognition Techniques

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.

Approach for the Wound Area Measurement with Mobile Devices

2021 ◽  
Author(s):  
Filipe Ferreira ◽  
Ivan Miguel Pires ◽  
Vasco Ponciano ◽  
Monica Costa ◽  
Nuno M. Garcia
Keyword(s):  
Mobile Devices ◽  
Area Measurement ◽  
Wound Area

scholarly journals Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3769 ◽  
Author(s):  
José Jorquera Valero ◽  
Pedro Sánchez Sánchez ◽  
Lorenzo Fernández Maimó ◽  
Alberto Huertas Celdrán ◽  
Marcos Arjona Fernández ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Quality Of Experience ◽  
Machine Learning Techniques ◽  
Proof Of Concept ◽  
Design And Implementation ◽  
Continuous Authentication ◽  
Learning Techniques ◽  
Authentication System ◽  
Critical Aspects

Continuous authentication systems for mobile devices focus on identifying users according to their behaviour patterns when they interact with mobile devices. Among the benefits provided by these systems, we highlight the enhancement of the system security, having permanently authenticated the users; and the improvement of the users’ quality of experience, minimising the use of authentication credentials. Despite the benefits of these systems, they also have open challenges such as the authentication accuracy and the adaptability to new users’ behaviours. Continuous authentication systems should manage these challenges without forgetting critical aspects of mobile devices such as battery consumption, computational limitations and response time. With the goal of improving these previous challenges, the main contribution of this paper is the design and implementation of an intelligent and adaptive continuous authentication system for mobile devices. The proposed system enables the real-time users’ authentication by considering statistical information from applications, sensors and Machine Learning techniques based on anomaly detection. Several experiments demonstrated the accuracy, adaptability, and resources consumption of our solution. Finally, its utility is validated through the design and implementation of an online bank application as proof of concept, which allows users to perform different actions according to their authentication level.

scholarly journals Aplikasi Pemesanan Makanan Berbasis Mobile Pada Rumah Makan “Lek Nonong”

2014 ◽  
Vol 2 (2) ◽  
pp. 175-180
Author(s):  
Adi Putra Nugraha ◽  
Kodrat Iman Satoto ◽  
Kurniawan Teguh Martono
Keyword(s):  
Mobile Devices ◽  
Programming Language ◽  
Mobile Applications ◽  
Mobile Application ◽  
Flow Diagram ◽  
Work Processes ◽  
Work Process ◽  
Desktop Computer ◽  
Data Flow Diagram ◽  
Food And Drink

The restaurant business that began growing in Semarang in particular areas Tembalang. Various types of food and drink offered by restaurants. Of course, to be able to compete the restaurant needs good management in the effort to obtain optimal benefits. Based on the problems need to develop an Order Food Mobile-Based Application to support the work processes of the restaurant, especially in the booking process and report transactions menu. The mobile application was built using jQuery Mobile programming language and HTML. The use of mobile applications is supported by an application which is running on a desktop computer that was built using the programming language PHP, Javascript and MySQL databases. Modeling applications was built using DFD (Data Flow Diagram). The results of the design Order Food Mobile-Based Application is an application that can be used for the work process and manage reports deals on restaurants, and also an application that can be used to enter the booking menu using mobile devices.

Implementation of an Inventory Control System for a Computer Center Using QR Codes on Android Mobile Devices

2017 ◽  
Vol 7 (11) ◽  
pp. 50
Author(s):  
Gustavo Poot Tah ◽  
Erika Llanes Castro ◽  
José Luis López Martínez ◽  
Victor Chi Pech
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Mobile Devices ◽  
Mobile Application ◽  
Free Software ◽  
Qr Codes ◽  
Design And Development ◽  
Computer Center

This paper presents the design and development of a mobile application that uses QR codes for the inventory control of a computer center. This application was developed to support the administration of the computer center of the Multidisciplinary Unit Tizimin, with the aim to reduce costs and time of searching for articles when making an inventory, by leveraging the capabilities of smartphones and tablets. The implementation of the system was carried out using free software.

Psychometric evaluation of the Mobile Application Rating Scale (MARS) (Preprint)

2020 ◽  
Author(s):  
Yannik Terhorst ◽  
Paula Philippi ◽  
Lasse Sander ◽  
Dana Schultchen ◽  
Sarah Paganini ◽  
...  
Keyword(s):  
Health Care ◽  
Construct Validity ◽  
Mobile Application ◽  
Concurrent Validity ◽  
Rating Scale ◽  
Psychometric Evaluation ◽  
Confirmatory Factor ◽  
Health Domains ◽  
Psychometric Quality

BACKGROUND Mobile health apps (MHA) have the potential to improve health care. The commercial MHA market is rapidly growing, but the content and quality of available MHA are unknown. Consequently, instruments of high psychometric quality for the assessment of the quality and content of MHA are highly needed. The Mobile Application Rating Scale (MARS) is one of the most widely used tools to evaluate the quality of MHA in various health domains. Only few validation studies investigating its psychometric quality exist with selected samples of MHAs. No study has evaluated the construct validity of the MARS and concurrent validity to other instruments. OBJECTIVE This study evaluates the construct validity, concurrent validity, reliability, and objectivity, of the MARS. METHODS MARS scoring data was pooled from 15 international app quality reviews to evaluate the psychometric properties of the MARS. The MARS measures app quality across four dimensions: engagement, functionality, aesthetics and information quality. App quality is determined for each dimension and overall. Construct validity was evaluated by assessing related competing confirmatory models that were explored by confirmatory factor analysis (CFA). A combination of non-centrality (RMSEA), incremental (CFI, TLI) and residual (SRMR) fit indices was used to evaluate the goodness of fit. As a measure of concurrent validity, the correlations between the MARS and 1) another quality assessment tool called ENLIGHT, and 2) user star-rating extracted from app stores were investigated. Reliability was determined using Omega. Objectivity was assessed in terms of intra-class correlation. RESULTS In total, MARS ratings from 1,299 MHA covering 15 different health domains were pooled for the analysis. Confirmatory factor analysis confirmed a bifactor model with a general quality factor and an additional factor for each subdimension (RMSEA=0.074, TLI=0.922, CFI=0.940, SRMR=0.059). Reliability was good to excellent (Omega 0.79 to 0.93). Objectivity was high (ICC=0.82). The overall MARS rating was positively associated with ENLIGHT (r=0.91, P<0.01) and user-ratings (r=0.14, P<0.01). CONCLUSIONS he psychometric evaluation of the MARS demonstrated its suitability for the quality assessment of MHAs. As such, the MARS could be used to make the quality of MHA transparent to health care stakeholders and patients. Future studies could extend the present findings by investigating the re-test reliability and predictive validity of the MARS.

scholarly journals A Systematic Review of Healthcare Professionals’ Knowledge, Self-Efficacy and Attitudes Towards Working with Autistic People

2021 ◽  
Author(s):  
Kirsten Corden ◽  
Rebecca Brewer ◽  
Eilidh Cage
Keyword(s):  
Health Professionals ◽  
Self Efficacy ◽  
Healthcare Professionals ◽  
Assessment Tool ◽  
Vital Role ◽  
Narrative Synthesis ◽  
Quality Assessment Tool ◽  
Professional Background ◽  
Autistic People

AbstractHealthcare professionals play a vital role in identifying and supporting autistic people. This study systematically reviewed empirical research examining healthcare professionals’ knowledge, self-efficacy and attitudes towards working with autistic people. Thirty-five studies were included. The included studies sampled a range of countries and professional backgrounds. A modified quality assessment tool found the quality of the included studies was moderately good. Narrative synthesis indicated that healthcare professionals report only moderate levels of autism knowledge and self-efficacy, and often lack training. Variation within and between countries and professional background was not explained by demographic factors. The reviewed evidence suggests health professionals’ limited knowledge and self-efficacy in working with autistic people is a challenge to the provision of healthcare for autistic individuals.

scholarly journals Palliative care and complex chronic conditions since the perspective of healthcare professionals

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Doñate-Martínez ◽  
L Llop ◽  
J Garcés
Keyword(s):  
Primary Care ◽  
Palliative Care ◽  
Early Identification ◽  
Chronic Conditions ◽  
Healthcare Professionals ◽  
Care Pathway ◽  
Holistic View ◽  
Complex Chronic Conditions ◽  
Symptom Intensity

Abstract Background According to the WHO, palliative care (PC) is applicable early in the course of illness together with other curative therapies. Early PC has demonstrated beneficial effects on quality of life and symptom intensity among cancer patients. However, PC is not as early integrated on the care pathway of complex chronic conditions (CCC). This abstract presents barriers and needs identified to effectively implement early PC on CCC performed under the EU-funded InAdvance project (ref.: 825750). Methods Semi-structured interviews were performed with 16 healthcare professionals (HPs) from primary care and hospital settings working with older patients with CCC in Valencia (Spain). Results Interviews reported that main needs identified to provide early PC are: (a) coordinated strategies between multi-setting HPs to an early identification of CCC patients in need of PC; (b) adequate resources to attend patients' PC needs from a holistic view, i.e. psychosocial and spiritual needs; and (c) early integration of basic PC at primary care teams. The main barriers identified were: (a) stereotypes associated to the traditional PC approach; (b) poor knowledge from HPs of the PC holistic approach; and (c) lack of specific protocols or pathways for CCC in need of PC. Conclusions Specific skills and resources are the most relevant needs to effectively provide early PC among patients with CCC. First, it is urgent to demystify the negative culture-related vision of PC that is commonly associated to sedation and last days of a person's life. Also, multidisciplinary HPs require specific training to identify and provide early PC tailored to CCC. And, it is required a strategic and multi-setting organizational approach with fluent information flow and coordinated roles. Key messages Healthcare expenditure would be considerably reduced, especially at hospital and emergency units, with an early identification of patients with CCC in need of PC. Empowering primary HPs in PC would improve the quality of care of patients with CCC.

Dyspareunia

2021 ◽  
pp. 175573802110302
Author(s):  
Charlotte Morris ◽  
Catherine Briggs ◽  
Manju Navani
Keyword(s):  
Quality Of Life ◽  
Primary Care ◽  
Healthcare Professionals ◽  
Persistent Pain ◽  
Differential Diagnoses ◽  
Relationship Problems

Dyspareunia is persistent pain on attempted or successful vaginal penetration. It is under-reported, infrequently asked about by healthcare professionals, and affects quality of life and relationships. Dyspareunia is multifactorial and possesses biopsychosocial components. Pain may be distinct and localised, deep or persistent. Among the symptoms, women describe sensations of aching, throbbing and tearing. Disinterest in sex and relationship problems can result. This article discusses dyspareunia, its common differential diagnoses and aims to improve clinician confidence in assessing and managing dyspareunia in primary care.

scholarly journals Building Standardized and Secure Mobile Health Services Based on Social Media

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2208
Author(s):  
Jesús D. Trigo ◽  
Óscar J. Rubio ◽  
Miguel Martínez-Espronceda ◽  
Álvaro Alesanco ◽  
José García ◽  
...  
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Services ◽  
Small Scale ◽  
Proof Of Concept ◽  
Privacy And Security ◽  
Health Level 7 ◽  
Information Embedding ◽  
Android Applications

Mobile devices and social media have been used to create empowering healthcare services. However, privacy and security concerns remain. Furthermore, the integration of interoperability biomedical standards is a strategic feature. Thus, the objective of this paper is to build enhanced healthcare services by merging all these components. Methodologically, the current mobile health telemonitoring architectures and their limitations are described, leading to the identification of new potentialities for a novel architecture. As a result, a standardized, secure/private, social-media-based mobile health architecture has been proposed and discussed. Additionally, a technical proof-of-concept (two Android applications) has been developed by selecting a social media (Twitter), a security envelope (open Pretty Good Privacy (openPGP)), a standard (Health Level 7 (HL7)) and an information-embedding algorithm (modifying the transparency channel, with two versions). The tests performed included a small-scale and a boundary scenario. For the former, two sizes of images were tested; for the latter, the two versions of the embedding algorithm were tested. The results show that the system is fast enough (less than 1 s) for most mHealth telemonitoring services. The architecture provides users with friendly (images shared via social media), straightforward (fast and inexpensive), secure/private and interoperable mHealth services.

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