SCIENTIFIC APPROACH TO NURSING
Mobility analyzes are essential for various disciplines and fields of application, from the optimization of movement patters for athletes to rehabilitation and maintaining mobility in old age. One of the important goals of our work is to optimize mobility analyzes on the basis of scientific research and to make these analyzes easily accessible for everyone.
We keep up with the latest scientific developments in the field of Mobility Analysis in order to guarantee products that are state-of-the-art. We continuously carry out studies to optimize our products and verify their benefits. We work together with scientific cooperation partners to achieve this goal. We publish our research results in peer reviewed journals.
Our current research focuses on three pillars:
- Improvement and validation of fall risk assessments and fall prevention
- Evaluation of the clinical benefit for different application groups/in different application contexts (e.g., in a clinic, a nursing home, and at home)
- Design of a Software Development Kit (SDK) for motion tracking
In the care context, the effectiveness of the Lindera Mobility Analysis has already been proven by means of empirical data (Rabe et al. 2020). The Lindera Mobility Analysis enables a standardized, multifactorial assessment of the individual fall risk and thus bridges a clinical gap. With the comprehensive analysis, transparent, individually tailored recommendation measures are created. An optimally-adapted, multidisciplinary fall prevention program can be put together from this.
More than ten studies are currently running with various clinics, nursing homes, health insurance funds, and scientific institutions. These studies include both randomized controlled studies and validation studies, as well as acceptance and effectiveness studies. As academic partners, the Charité and Wilhelm Löhe University support Lindera in the conception of studies and data analysis.
If you are interested in academic cooperation with Lindera or in academic theses (students), we look forward to hearing from you.
Geriatrics Research Group at the Charité – Berlin Medical University
In the context of validation, evaluation, and development, Lindera works with the Geriatrics Research Group at Charité. Contact person at the Charité: Dr. Anika Heimann-Steinert PD
IDC Research Institute at Wilhelm Löhe University
To evaluate the clinical benefit, Lindera works with the IDC Research Institute at Wilhelm Löhe University. Contact person at the IDC Research Institute: Prof. Dr. Jürgen Zerth.
Peer reviewed publications
A. Azhand, S. Rabe, S. Müller, I. Sattler, and A. Steinert (under review) “Algorithm Based on One Monocular Video Delivers Highly Valid and Reliable Gait Parameters.” Preprint available at:https://arxiv.org/abs/2008.08045v4
S. Rabe, A. Azhand, W. Pommer, S. Müller, and A. Steinert, “Descriptive Evaluation and Accuracy of a Mobile App to Assess Fall Risk in Seniors: Retrospective Case-Control Study.” JMIR aging, vol. 3, no. 1, p. e16131, Feb. 2020, doi: 10.2196/16131. https://aging.jmir.org/2020/1/e16131/
External publications with the Lindera Mobility Assessment
O. Stamm, and A. Steinert, (2020) “Accuracy of a Monocular 2D Pose Estimation Compared to the PanopticStudio Toolbox as Reference Standard: Validation Study.” JMIR mHealth and uHealth, 17/11/2020:19608 (forthcoming/in press). doi: 10.2196/19608. Preprint available at: https://preprints.jmir.org/preprint/19608
A. Steinert, I. Sattler, K. Otte, H. Röhling, S. Mansow-Model, U. Müller-Werdan, “Using new Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System” Sensors, vol. 20, no. 1, p. 125, Dec. 2019, doi: 10.3390/s20010125. https://www.mdpi.com/1424-8220/20/1/125
Scientific/academic contact person at Lindera
Clinical questions Dr. Hester Knol
Data Science and AI-based questions Dr. Arash Azhand
Psychological questions Dr. Swantje Müller