A5060887368- Mobile Health and mHealth Applications
- Shoulder Injury and Treatment
- Diabetes Management and Education
- Diabetes Management and Research
- Ergonomics and Musculoskeletal Disorders
- Data Quality and Management
- Augmented Reality Applications
- Behavioral Health and Interventions
- Stroke Rehabilitation and Recovery
- Health and Medical Studies
- Digital Mental Health Interventions
- Robotics and Automated Systems
- Eating Disorders and Behaviors
- Semantic Web and Ontologies
- Gaze Tracking and Assistive Technology
- Scientific Computing and Data Management
- Impact of Technology on Adolescents
- Obesity, Physical Activity, Diet
- Big Data Technologies and Applications
- Mental Health Research Topics
- Big Data and Business Intelligence
- Indoor and Outdoor Localization Technologies
Salzburg University of Applied Sciences
2014-2017
Background: Imprecise carbohydrate counting as a measure to guide the treatment of diabetes may be source errors resulting in problems glycemic control. Exact measurements can tedious, leading most patients estimate their intake. In presented pilot study smartphone application (BE AR ), that guides estimation amounts carbohydrates, was used by group diabetic patients. Methods: Eight adult with mellitus type 1 were recruited for study. At beginning introduced BE sessions lasting 45 minutes...
Background: Patients with frozen shoulder show limited mobility often accompanied by pain. Common treatment methods include physiotherapy, pain medication, administration of corticosteroids, and surgical capsulotomy. Frozen lasts from months to years mostly affects persons in the age group 40 70 years. It severely reduces quality life ability work. Objective: The objective this study was evaluate feasibility a mobile health (mHealth) intervention that supports patients affected "stage two"...
Patients with Frozen Shoulder suffer from a decreased mobility and pain. Exercise-based physiotherapy is common treatment patients mostly perform the exercises at home. Correct exercise performance compliance are main issues in home-based therapy of patients. To support diagnosed Shoulder, multimodal 3D smartphone app was designed, developed evaluated. Additional to ten potential users, one physician, five physiotherapists, three computer scientists, two artists HCI specialist were involved...
Treatment of diabetic patients strongly relies on the continuous logging parameters relevant to glycemic control. Keeping diabetes diaries can be tedious which affect data quality and completeness. Mobile technologies could provide means overcome these limitations. However, studies analyzing direct effect treatment are rare. In presented study were supplied with a smartphone application record various for Questions regarding completeness answered by before after study. The attending...