Charité study confirms: LINDERA app achieves gait lab precision

Scientific breakthrough in digital motion analysis: Charité - Universitätsmedizin Berlin validates LINDERA's innovative technology in renowned scientific journal.

The challenge of motion analysis

Until now, doctors have been faced with a difficult choice: either complex gait laboratories with high costs or inaccurate 2D analyses with simple cameras. Precise measurement of important parameters such as knee mobility or shoulder stability was previously only possible with expensive special technology.

Groundbreaking research results

The new study "Accuracy of a Monocular 2D Pose Estimation" in the JMIR mHealth and uHealth Journal provides the scientific proof:

LINDERA's 2D algorithms achieve precision levels of multi-camera systems.

High-precision motion analysis is now possible with a smartphone,
as Dr. Anika Heimann-Steinert and Oskar Stamm from Charité demonstrate.

Significance for practice

• Comparable accuracy with medical gait laboratories
• Cost-effective alternative to expensive special technology
• Flexible application possibilities: From the living room to the clinic
• Validated technology for various medical fields

New perspectives

Scientific validation opens doors for further fields of application:

• Orthopaedics
• neurology
• geriatrics
• rehabilitation
• Digital therapies

The LINDERA 2D algorithms, which serve as the basis for a 3D image of the gait movement via the simple smartphone camera, show excellent agreement with a multi-camera system as a reference standard.

About the study: Background and conclusions

An estimation of kinematic variables can be performed with the analyzed LINDERA algorithm and shows only minimal deviations compared to data from the Panoptic Studio Toolbox as reference standard.

In other words, a simple smartphone app, such as the patented LINDERA mobility analysis app for reducing the risk of falls in old age, can be used as a cost-effective alternative to medical gait laboratories for certain measurements and enable flexible and easy-to-implement analyses in any living room, doctor's office or nursing home.

This scientific validation of measurement accuracy opens up further fields of application in addition to care. In addition to applications in orthopaedics, neurology and geriatrics, these also include rehabilitation and apps for digital therapies.

About the journal

JMIR mHealth and uHealth is a partner journal of JMIR, one of the leading eHealth journals. JMIR mHealth and uHealth was first published in 2013 and focuses on health and biomedical applications in the fields of mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics.

In June 2020, JMIR mHealth and uHealth received a 2019 Impact Factor of 4.313from Clarivate Web of Science (5-year Impact Factor: 5.323).

Sources: