Yet anther publication update

content/publication/aldenhoven-2022/_index.md

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+---
+title: 'mBalance: Detect Postural Imbalance with Mobile Devices'
+
+# Authors
+# If you created a profile for a user (e.g. the default `admin` user), write the username (folder name) here
+# and it will be replaced with their full name and linked to their profile.
+authors:
+  - Céline Madeleine Aldenhoven
+  - Lara Marie Reimer
+  - Stephan Jonas
+
+date: '2022-05-16T00:00:00Z'
+doi: '10.3233/SHTI220344'
+
+# Publication type.
+# Accepts a single type but formatted as a YAML list (for Hugo requirements).
+# Enter a publication type from the CSL standard.
+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.'
+
+tags: []
+---

content/publication/aldenhoven-2022/cite.bib

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+@incollection{schreier_mbalance_2022,
+	title = {{mBalance}: Detect Postural Imbalance with Mobile Devices},
+	isbn = {978-1-64368-282-2 978-1-64368-283-9},
+	url = {https://ebooks.iospress.nl/doi/10.3233/SHTI220344},
+	shorttitle = {{mBalance}},
+	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.},
+	booktitle = {Studies in Health Technology and Informatics},
+	publisher = {{IOS} Press},
+	author = {Aldenhoven, Céline Madeleine and Reimer, Lara Marie and Jonas, Stephan},
+	editor = {Schreier, Günter and Pfeifer, Bernhard and Baumgartner, Martin and Hayn, Dieter},
+	urldate = {2022-06-13},
+	date = {2022-05-16},
+	doi = {10.3233/SHTI220344},
+	file = {Volltext:/Users/laramariereimer/Zotero/storage/JHYJRUFF/Aldenhoven et al. - 2022 - mBalance Detect Postural Imbalance with Mobile De.pdf:application/pdf},
+}

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

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+---
+title: 'Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple {ARKit}'
+authors:
+- Lara Marie Reimer
+- Severin Weigel
+- Florian Ehrenstorfer 
+- Malintha Adikari
+- Wolfgang Birkle
+- Stephan M. Jonas
+date: '2021-05-07T00:00:00Z'
+doi: '10.3233/SHTI210092'
+
+# Publication type.
+# Accepts a single type but formatted as a YAML list (for Hugo requirements).
+# Enter a publication type from the CSL standard.
+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.'
+
+tags:
+- Source Themes
+featured: false
+---

content/publication/reimer-2021-mobile/cite.bib

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+
+@incollection{hayn_mobile_2021,
+	title = {Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple {ARKit}},
+	isbn = {978-1-64368-180-1 978-1-64368-181-8},
+	url = {https://ebooks.iospress.nl/doi/10.3233/SHTI210092},
+	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.},
+	booktitle = {Studies in Health Technology and Informatics},
+	publisher = {{IOS} Press},
+	author = {Reimer, Lara Marie and Weigel, Severin and Ehrenstorfer, Florian and Adikari, Malintha and Birkle, Wolfgang and Jonas, Stephan},
+	editor = {Hayn, Dieter and Schreier, Günter and Baumgartner, Martin},
+	urldate = {2022-06-13},
+	date = {2021-05-07},
+	doi = {10.3233/SHTI210092},
+	file = {Volltext:/Users/laramariereimer/Zotero/storage/AQLKWIU9/Reimer et al. - 2021 - Mobile Motion Tracking for Disease Prevention and .pdf:application/pdf},
+}

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

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+---
+title: 'Developing an App for Cardiovascular Prevention and Scientific Data Collection'
+
+# Authors
+# If you created a profile for a user (e.g. the default `admin` user), write the username (folder name) here
+# and it will be replaced with their full name and linked to their profile.
+authors:
+  - Lara Marie Reimer
+  - Fabian Starnecker
+  - Heribert Schunkert
+  - Stephan Jonas
+
+date: '2021-05-7T00:00:00Z'
+doi: '10.3233/SHTI210095'
+
+# Publication type.
+# Accepts a single type but formatted as a YAML list (for Hugo requirements).
+# Enter a publication type from the CSL standard.
+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.'
+
+tags: []
+---

content/publication/reimer-2021-scientific/cite.bib

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+@incollection{hayn_developing_2021,
+	title = {Developing an App for Cardiovascular Prevention and Scientific Data Collection},
+	isbn = {978-1-64368-180-1 978-1-64368-181-8},
+	url = {https://ebooks.iospress.nl/doi/10.3233/SHTI210095},
+	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.},
+	booktitle = {Studies in Health Technology and Informatics},
+	publisher = {{IOS} Press},
+	author = {Reimer, Lara Marie and Starnecker, Fabian and Schunkert, Heribert and Jonas, Stephan},
+	editor = {Hayn, Dieter and Schreier, Günter and Baumgartner, Martin},
+	urldate = {2022-06-13},
+	date = {2021-05-07},
+	doi = {10.3233/SHTI210095},
+	file = {Volltext:/Users/laramariereimer/Zotero/storage/JKQYZFC3/Reimer et al. - 2021 - Developing an App for Cardiovascular Prevention an.pdf:application/pdf},
+}