Analyzing Spinal Shape Changes During Posture Training Using a Wearable Device

Katharina Stollenwerk, Jonas Müller, André Hinkenjann, Björn Krüger
Sensors, Volume 19, Number 16:3625 - August 2019

Abstract

Lower back pain is one of the most prevalent diseases in Western societies. A large percentage of European and American populations suffer from back pain at some point in their lives. One successful approach to address lower back pain is postural training, which can be supported by wearable devices, providing real-time feedback about the user’s posture. In this work, we analyze the changes in posture induced by postural training. To this end, we compare snapshots before and after training, as measured by the Gokhale SpineTracker™. Considering pairs of before and after snapshots in different positions (standing, sitting, and bending), we introduce a feature space, that allows for unsupervised clustering. We show that resulting clusters represent certain groups of postural changes, which are meaningful to professional posture trainers.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

This article belongs to Sensors' Special Issue Data Analytics and Applications of the Wearable Sensors in Healthcare.

BibTex references

@Article{SMHK19,
  author       = {Stollenwerk, Katharina and M{\"u}ller, Jonas and Hinkenjann, Andr{\'e} and Kr{\"u}ger, Bj{\"o}rn},
  title        = {Analyzing Spinal Shape Changes During Posture Training Using a Wearable Device},
  journal      = {Sensors},
  number       = {16:3625},
  volume       = {19},
  month        = {August},
  year         = {2019},
}

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» Katharina Stollenwerk
» Jonas Müller
» André Hinkenjann
» Björn Krüger