Zur kontinuierlichen Weiterentwicklung unserer digitalen Lösungen arbeiten wir eng mit wissenschaftlichen Partnern zusammen. Wir führen fortlaufend Studien durch. Die Ergebnisse veröffentlichen wir in Peer-Reviewed Journals.
Rabe, S., Azhand, A., Pommer, W., Müller, S., & Steinert, A. (2020).Descriptive Evaluation and Accuracy of a Mobile App to Assess Fall Risk in Seniors: Retrospective Case-Control Study. JMIR aging, 3(1), e16131. https://doi.org/10.2196/16131
Azhand, A., Rabe, S., Müller, S., Sattler, I., & Heimann-Steinert, A. (2021).Algorithm based on one monocular video delivers highly valid and reliable gait parameters. Scientific reports, 11(1), 14065. https://doi.org/10.1038/s41598-021-93530-z
Alves, S., Teme, S., Motamedi, S., Kura, M., Weber, S., Zeichen, J., Pommer, W., Baumgart, A. (2024).Evaluating the prognostic and clinical validity of the Fall Risk Score derived from an AI-based mHealth application for fall prevention: a retrospective real-world data analysis. JMIR aging (forthcoming). http://dx.doi.org/10.2196/55681
Publications by External Researchers
Steinert, A., Sattler, I., Otte, K., Röhling, H., Mansow-Model, S., & Müller-Werdan, U. (2019). Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System. Sensors (Basel, Switzerland), 20(1), 125. https://doi.org/10.3390/s20010125
Stamm, O., & Heimann-Steinert, A. (2020). Accuracy of Monocular Two-Dimensional Pose Estimation Compared Witha Reference Standard for Kinematic Multiview Analysis: Validation Study. JMIR mHealth and uHealth, 8(12), e19608. https://doi.org/10.2196/19608
Strutz, N., Brodowski, H., Kiselev, J., Heimann-Steinert, A., & Müller-Werdan, U. (2022). App-Based Evaluation of Older People's Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study. JMIR aging, 5(3), e36872. https://doi.org/10.2196/36872
Conference Posters and Presentations
Alves, S., Kura, M., Zerth, J., Müller, S. (2023). When do (cluster-)randomized studies hit the mark, and when do they miss it? Intervention studieswith mHealth in residentiallong-term care. Deutscher Kongress für Versorgungsforschung Berlin 2023,conferenceposter & presentation, October 2023.
Dahms, R., Vorwerg-Gall, S., Heeger, S., Ettrich, M., Heimann-Steinert, A. (2023). AI-based digital healthcare application to manage fall risks in residents of nursing homes in Germany: clinical and resident-reported outcomes. The International Conference on Digital Health and Telemedicine 2023, conference presentation, October 2023.
Alves, S., Kura, M., Paolino, C., Heinrichs, D., Zerth, J., Müller, S. (2024). Efficacy of mHealth Tools in a Multifactorial Approach to Fall Prevention Among Elderly Care Patients: A Cluster-Randomized Controlled Trial. EU Falls Fest 2024, conference poster, April 2024.
