rectify studio
With rectify Studio, we provide scientists and research institutions with a powerful analysis tool specifically developed for the needs of modern back health studies. The software enables drag-and-drop analysis directly within the user interface. Alternatively, the raw data can be exported in .csv format for in-depth, customized analyses.
Case Studies
rectify in Research Use at TU Braunschweig
A research study at the Technical University of Braunschweig is currently investigating different construction methods. The rectify system from Minktec is being used to analyze the biomechanical spinal load on the workers involved. It continuously records data on posture and spinal movement during various work steps.
Automatic Recognition of Daily Activities
Another published study demonstrates the flexible sensor system's ability to automatically recognize Activities of Daily Living (ADL). The sensor accurately captures the 3D shape and movement of the spine in real-time.
Using machine learning, this sensor data was used to reliably classify various activities such as sitting, standing, walking, bending, and their transitions. The results highlight the system's potential for healthcare applications, well-being monitoring, and ergonomic analysis. More details in the MDPI Sensors publication.
Clinical Application: Mobility Measurement after Scoliosis Surgery
In a clinical pilot study, the rectify system was used to examine the Range of Motion (ROM) of the lumbar spine in adolescent patients with idiopathic scoliosis. 3D measurements were taken before and after posterior corrective fusion surgery and during follow-up examinations.
The flexible sensor system enabled the objective quantification of changes in flexion, extension, lateral bending, and rotation. The expected postoperative reduction in mobility and partial recovery over time could be precisely recorded, highlighting the system's potential for clinical progress assessment. More details in the study abstract.
