A5009503573- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- EEG and Brain-Computer Interfaces
- Auction Theory and Applications
- Systemic Lupus Erythematosus Research
- Pressure Ulcer Prevention and Management
- Video Surveillance and Tracking Methods
- Open Source Software Innovations
- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
- Digital Mental Health Interventions
- ECG Monitoring and Analysis
- Systemic Sclerosis and Related Diseases
- Telemedicine and Telehealth Implementation
- Time Series Analysis and Forecasting
- Mobile Crowdsensing and Crowdsourcing
- Remote Sensing and LiDAR Applications
University of Würzburg
2020-2024
Abstract Background The prevalence of chronic wounds is predicted to increase within the aging populations in industrialized countries. Patients experience significant distress due pain, wound secretions, and resulting immobilization. As number continues rise, their adequate care becomes increasingly costly terms health resources worldwide. eHealth support systems are being integrated into patient care. However, date, no systematic analysis such apps for has been published. Objective aims...
<sec> <title>BACKGROUND</title> Lupus erythematosus (LE) is a chronic autoimmune disease that significantly impacts patients' quality of life. Photosensitivity key impairment severely limits the life, especially in cutaneous lupus (CLE), where exposure to sunlight can lead rashes, exacerbations, and pain. In systemic (SLE), other manifestations such as joint pain, fatigue, organ damage may contribute decreased physical function emotional distress. Mobile health applications (MHA) offer...
The aging population poses numerous challenges to healthcare, including the increase in chronic wounds elderly. current approach wound assessment by therapists based on photographic documentation is subjective, highlighting need for computer-aided recognition from smartphone photos. This offers objective and convenient therapy monitoring, while being accessible patients their home at any time. However, despite research mobile image segmentation, there a lack of focus segmentation. To address...
In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution are precious, they can provide detailed information for specific area. However, measurements with high resolution time-consuming and costly. Only few approaches exist create high-resolution extensive areas. This paper explores extract nDSMs from low-resolution Sentinel-2 data, allowing us derive models. We thereby utilize...
Today's software offers diverse functionalities that need to be made accessible humans in an easy understand and quick learn way. This is not a new challenge already well addressed usability research. Yet, similar challenges arise crowdsourcing tasks. While task interfaces are often less complicated than complete products, workers have only minimal amount of time familiarize them with the interface. Additionally, due repetitiveness tasks, required work this interface solve few hundred...
Time series analysis remains a major challenge due to its sparse characteristics, high dimensionality, and inconsistent data quality. Recent advancements in transformer-based techniques have enhanced capabilities forecasting imputation; however, these methods are still resource-heavy, lack adaptability, face difficulties integrating both local global attributes of time series. To tackle challenges, we propose new architectural concept for based on introspection. Central this is the...