Sensor-Based Gait and Balance Assessment in Healthy Adults: Analysis of Short-Term Training and Sensor Placement Effects

Author:

Rentz Clara1ORCID,Kaiser Vera12,Jung Naomi1,Turlach Berwin A.3ORCID,Sahandi Far Mehran45ORCID,Peterburs Jutta67ORCID,Boltes Maik8ORCID,Schnitzler Alfons910ORCID,Amunts Katrin111ORCID,Dukart Juergen45ORCID,Minnerop Martina1910ORCID

Affiliation:

1. Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany

2. Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

3. Centre for Applied Statistics, The University of Western Australia, Perth, WA 6000, Australia

4. Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425 Jülich, Germany

5. Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

6. Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

7. Institute of Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, 20457 Hamburg, Germany

8. Institute for Advanced Simulation (IAS-7), Research Centre Jülich, 52425 Jülich, Germany

9. Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

10. Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

11. C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

Abstract

While the analysis of gait and balance can be an important indicator of age- or disease-related changes, it remains unclear if repeated performance of gait and balance tests in healthy adults leads to habituation effects, if short-term gait and balance training can improve gait and balance performance, and whether the placement of wearable sensors influences the measurement accuracy. Healthy adults were assessed before and after performing weekly gait and balance tests over three weeks by using a force plate, motion capturing system and smartphone. The intervention group (n = 25) additionally received a home-based gait and balance training plan. Another sample of healthy adults (n = 32) was assessed once to analyze the impact of sensor placement (lower back vs. lower abdomen) on gait and balance analysis. Both the control and intervention group exhibited improvements in gait/stance. However, the trends over time were similar for both groups, suggesting that targeted training and repeated task performance equally contributed to the improvement of the measured variables. Since no significant differences were found in sensor placement, we suggest that a smartphone used as a wearable sensor could be worn both on the lower abdomen and the lower back in gait and balance analyses.

Publisher

MDPI AG

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