Fix formatting

content/publication/aldenhoven-2022/_index.md

@@ -20,7 +20,7 @@ publication_types: ['paper-conference']
 # Publication name and optional abbreviated publication name.
 publication: In *Studies in Health Technology and Informatics*
 
-abstract: 'Background: Postural imbalance can be adopted for the early detection of age-related diseases or monitoring the course of the disease treatment; especially in monitoring, frequent balance measurement is crucial. This is mainly done through regular in-person examinations by a physician currently. Feedback in between examinations is often missing. Objectives: This paper proposes mBalance, a mobile application that uses the Romberg test to detect postural imbalance. mBalance provides a camera-based, low-cost approach to measure imbalance frequently at home using mobile devices. Methods: Imbalance detection accuracy and usability was evaluated in two separate studies with 31 and 30 participants, respectively. Results: mBalance correctly detected imbalance with a sensitivity of 80\% and a specificity of 87\%. The study found good usability with no significant problems. Conclusion: Overall, this study solves the problem of postural imbalance detection by digitizing a validated balance test into an easy-to-use mobile application.'
+abstract: 'Background: Postural imbalance can be adopted for the early detection of age-related diseases or monitoring the course of the disease treatment; especially in monitoring, frequent balance measurement is crucial. This is mainly done through regular in-person examinations by a physician currently. Feedback in between examinations is often missing. Objectives: This paper proposes mBalance, a mobile application that uses the Romberg test to detect postural imbalance. mBalance provides a camera-based, low-cost approach to measure imbalance frequently at home using mobile devices. Methods: Imbalance detection accuracy and usability was evaluated in two separate studies with 31 and 30 participants, respectively. Results: mBalance correctly detected imbalance with a sensitivity of 80% and a specificity of 87%. The study found good usability with no significant problems. Conclusion: Overall, this study solves the problem of postural imbalance detection by digitizing a validated balance test into an easy-to-use mobile application.'
 
 tags: []
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content/publication/reimer-2021-mobile/_index.md

@@ -1,5 +1,5 @@
 ---
-title: 'Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple {ARKit}'
+title: 'Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple ARKit'
 authors:
 - Lara Marie Reimer
 - Severin Weigel
@@ -18,7 +18,7 @@ publication_types: ['article-conference']
 # Publication name and optional abbreviated publication name.
 publication: In *Studies in Health Technology and Informatics*
 
-abstract: 'Background: Physical activity helps improve the overall quality of life. The correct execution of physical activity is crucial both in sports as well as disease prevention and rehabilitation. Little to no automated commodity solutions for automated analysis and feedback exist. Objectives: Validation of the Apple {ARKit} framework as a solution for automatic body tracking in daily physical exercises using the smartphones’ built-in camera. Methods: We deliver insights into {ARKit}’s body tracking accuracy through a lab experiment against the {VICON} system as Gold Standard. We provide further insights through case studies using apps built on {ARKit}. Results: {ARKit} exposes significant limitations in tracking the full range of motion in joints but accurately tracks the movement itself. Case studies show that applying it to measure the quantity of execution of exercises is possible. Conclusion: {ARKit} is a light-weight commodity solution for quantitative assessment of physical activity. Its limitations and possibilities in qualitative assessment need to be investigated further.'
+abstract: 'Background: Physical activity helps improve the overall quality of life. The correct execution of physical activity is crucial both in sports as well as disease prevention and rehabilitation. Little to no automated commodity solutions for automated analysis and feedback exist. Objectives: Validation of the Apple ARKit framework as a solution for automatic body tracking in daily physical exercises using the smartphones’ built-in camera. Methods: We deliver insights into ARKit’s body tracking accuracy through a lab experiment against the VICON system as Gold Standard. We provide further insights through case studies using apps built on ARKit. Results: ARKit exposes significant limitations in tracking the full range of motion in joints but accurately tracks the movement itself. Case studies show that applying it to measure the quantity of execution of exercises is possible. Conclusion: ARKit is a light-weight commodity solution for quantitative assessment of physical activity. Its limitations and possibilities in qualitative assessment need to be investigated further.'
 
 tags:
 - Source Themes

content/publication/reimer-2021-scientific/_index.md

@@ -10,7 +10,7 @@ authors:
   - Heribert Schunkert
   - Stephan Jonas
 
-date: '2021-05-7T00:00:00Z'
+date: '2021-05-07T00:00:00Z'
 doi: '10.3233/SHTI210095'
 
 # Publication type.
@@ -21,7 +21,7 @@ publication_types: ['paper-conference']
 # Publication name and optional abbreviated publication name.
 publication: In *Studies in Health Technology and Informatics*
 
-abstract: 'Background: Mobile apps may encourage a lifestyle that avoids unhealthy behaviors, such as smoking or poor nutrition, which promotes cardiovascular diseases ({CVD}). Yet, little data is available on the utilization, perception, and long-term effects of such apps to prevent {CVD}. Objectives: To develop a mobile app concept to reduce the individual {CVD} risk and collect information addressing research questions on {CVD} prevention while preserving data privacy and security. Methods: To validate the concept, a prototype will be built, and usability studies will be performed. Results: We expect to determine whether it is possible to reach a broad user base and to collect scientific information while protecting user data sufficiently. Conclusion: To address {CVD} prevention, we propose a mobile coaching app. We expect high acceptance rates in validation studies.'
+abstract: 'Background: Mobile apps may encourage a lifestyle that avoids unhealthy behaviors, such as smoking or poor nutrition, which promotes cardiovascular diseases (CVD). Yet, little data is available on the utilization, perception, and long-term effects of such apps to prevent CVD. Objectives: To develop a mobile app concept to reduce the individual CVD risk and collect information addressing research questions on CVD prevention while preserving data privacy and security. Methods: To validate the concept, a prototype will be built, and usability studies will be performed. Results: We expect to determine whether it is possible to reach a broad user base and to collect scientific information while protecting user data sufficiently. Conclusion: To address CVD prevention, we propose a mobile coaching app. We expect high acceptance rates in validation studies.'
 
 tags: []
 ---

content/publication/tacke-2024/_index.md

@@ -32,7 +32,7 @@ abstract: Objective
 
 
               Results
-              After conducting three cognitive interviews, five items were modified. The values for Cronbach alpha for the entire questionnaire and the three subscales (0.966, 0.814, 0.910, and 0.909) indicate strong internal consistency. The correlation analysis revealed that the scores of the GER-MAUQ, the subscales and the SUS were strongly correlated with each other. The correlation coefficient of the SUS and the GER-MAUQ overall score was r = 0.854, P \textless 0.001 and the coefficients of the subscales and the SUS were r = 0.642, P \textless 0.001; r = 0.866, P \textless 0.001 and r = 0.643, P \textless 0.001.
+              After conducting three cognitive interviews, five items were modified. The values for Cronbach alpha for the entire questionnaire and the three subscales (0.966, 0.814, 0.910, and 0.909) indicate strong internal consistency. The correlation analysis revealed that the scores of the GER-MAUQ, the subscales and the SUS were strongly correlated with each other. The correlation coefficient of the SUS and the GER-MAUQ overall score was r = 0.854, P = 0.001 and the coefficients of the subscales and the SUS were r = 0.642, P \textless 0.001; r = 0.866, P = 0.001 and r = 0.643, P = 0.001.
 
 
               Conclusions