Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Wearable Devices for Remote Monitoring of Chronic Diseases: Systematic Review.

JMIR mHealth and uHealth·2026
Same author

Wearable Spine Tracker vs. Video-Based Pose Estimation for Human Activity Recognition.

Sensors (Basel, Switzerland)·2025
Same author

AI and machine learning in medical imaging: key points from development to translation.

BJR artificial intelligence·2024
Same author

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.

BJR artificial intelligence·2024
Same author

Crowdsourcing image segmentation for deep learning: integrated platform for citizen science, paid microtask, and gamification.

Biomedizinische Technik. Biomedical engineering·2023
Same author

Recognizing Human Activity of Daily Living Using a Flexible Wearable for 3D Spine Pose Tracking.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jul 10, 2026

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis
07:44

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

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.

Biomedizinische Technik. Biomedical Engineering
|July 8, 2026
PubMed
Summary

FlexTail, a wearable sensor, accurately tracks 3D spinal motion (flexion and torsion) for musculoskeletal disorder analysis. Its precision rivals clinical systems, enabling unobtrusive, long-term biomechanical assessment.

Keywords:
biomechanicsflexion measurementhealth monitoringprinted electronicssensor validationwearable sensor

More Related Videos

A Vibrotactile Feedback Device for Seated Balance Assessment and Training
09:13

A Vibrotactile Feedback Device for Seated Balance Assessment and Training

Published on: January 20, 2019

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
07:52

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

Related Experiment Videos

Last Updated: Jul 10, 2026

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis
07:44

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

A Vibrotactile Feedback Device for Seated Balance Assessment and Training
09:13

A Vibrotactile Feedback Device for Seated Balance Assessment and Training

Published on: January 20, 2019

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
07:52

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Biomechanics

Background:

  • Accurate spinal posture tracking is vital for understanding and treating musculoskeletal disorders.
  • Current tracking solutions often face limitations in cost, comfort, or real-world accuracy.
  • Developing unobtrusive, precise wearable sensors is a key challenge in digital health.

Purpose of the Study:

  • To quantify the accuracy of FlexTail, a novel flexible wearable sensor for real-time three-dimensional (3D) spinal motion tracking.
  • To evaluate FlexTail's performance in measuring both spinal flexion and torsion.
  • To assess the potential of FlexTail for clinical and digital health applications.

Main Methods:

  • FlexTail sensor performance was validated using 3D-printed templates simulating spinal flexion and torsion.
  • Measurements included S-shaped flexion paths (100, 150, 250 mm diameter) and a 90° torsion path.
  • Accuracy was determined by comparing sensor-measured deformation to known template geometries, analyzing 10 devices with 10 repetitions each.

Main Results:

  • Mean positional error for flexion across templates was 3.61 mm, with the 250 mm template showing the lowest error (2.12 mm).
  • Mean torsional error was 0.13°, with the spine-shaped template exhibiting 1.05° angular deviation and 2.95 mm positional error.
  • Intra-device deviations remained low, below 0.60 mm for flexion and 0.051° for torsion.

Conclusions:

  • FlexTail demonstrates reliable and accurate tracking of spinal flexion and torsion, comparable to clinical-grade systems.
  • The sensor's flexible and integrated design facilitates unobtrusive, long-term use.
  • FlexTail shows significant potential as a tool for biomechanical analysis and advancing digital health solutions.