DynMetrics constitutes a markerless and inexpensive system enabling the recording and analysis of standardized parameters characterizing gait. By means of a contactless approach, it supports health professionals (physicians, therapists) in planning and evaluating individual rehabilitation measures particularly after surgical treatments in order to restore a patient’s mobility.
The assessment of the effectiveness of rehabilitation measures in orthopedics nowadays is widely done by the attending doctor. Additionally clinics do assessments as part of their quality management processes or for deciding upon further treatments leading to more favorable responses concerning the therapeutic goals (e.g. ability to walk a certain distance).
The availability of reliable quantifiable parameters and analyses derived out of them are suited to objectify assessments and tailor the therapies to patients. In the long run it is therefore possible to establish evidence-based rehabilitation standards.
DynMetrics supports gait analysis and features a variety of spatio-temporal movement parameters (e.g., velocity, step / stride length, cadence). Pre / post measurements are suited to quantify the rehabilitation status.
DynMetrics was developed within a research project and delivers tracking data for a variety of movement parameters (step / stride length, cadence, velocity, center of mass displacement) by means of 3D skeletal data. The analysis determines the gait cycle robustly.
Decision Support and Documentation
DynMetrics is a sensor-based system providing decision support regarding the status of recovering patients building upon measurable gait and movement parameters. It can be used to complement data gained out questionnaires being completed by patients and / or health professionals (e.g., Harris Hip Score, Lequesne, Staffelstein …). Hence, therapeutic results can be scrutinized and documented on the fly. Changes concerning the rehabilitation process can be induced and forecasts concerning the likely outcome of the therapy can be made at an early stage.
Publikations und Informations
Effiziente Methode zur Bestimmung der medio-lateralen Schwankung mittels einer kontaktlosen Bewegungsanalyse zur Qualitätssicherung in der orthopädischen Rehabilitation; 62. Jahrestagung GMDS, Sep. 18-20, 2017, Oldenburg.
Efficient techniques for gait-analysis: comparing marker-less and IMU-based tracking systems for monitoring rehabilitation processes; European Medical and Biological Engineering Conference (EMBEC 2017), Jun. 11-15, 2017, Tampere, Finnland.
Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures; 9th Conference on Biomedical Electronics and Devices (BIODEVICES 2016), Feb. 21-23, 2016, Rome, Italy.