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Published on: March 23, 2019
Evaluating FlexTail: a wearable device for spinal posture tracking
Arwed Masch1, Jonas Walkling1, Luca Sander1
1Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany.
Objectives:
Accurate, continuous spinal posture tracking is critical for understanding musculoskeletal disorders and developing personalized treatment. However, current solutions are costly, obtrusive, or insufficiently accurate in daily life. This study quantifies the accuracy of FlexTail, a flexible, wearable sensor that integrates printed strain-gauge electronics to capture three-dimensional (3D) spinal motion in real-time.
Methods:
FlexTail's performance is benchmarked with 3D-printed validation templates: three fixed-diameter S-shaped flexion paths (100, 150 and 250 mm flexion diameter), a spine-shaped path, and a 90° torsion path. The measured deformation is compared to the known geometry to quantify the precision of the device. We analyze 10 FlexTail devices and repeat each measure 10 times.
Results:
Across flexion templates, the mean positional error is 3.61 mm. The 250 mm flexion template yields the lowest error, 2.12 mm. The mean torsional error is 0.13°, and the spine-shaped template shows an angular deviation of 1.05° with a positional error of 2.95 mm. The intra-device deviations stay below 0.60 mm and 0.051° for flexion and torsion, respectively.
Conclusions:
FlexTail delivers reliable flexion and torsion tracking with accuracy equal to clinical systems. Its soft, integrated form factor supports long-term, unobtrusive use as a tool for biomechanical analysis and digital health applications.

