Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol

Elke Warmerdam; Robbin Romijnders; Johanna Geritz; Morad Elshehabi; Corina Maetzler; Jan Carl Otto; Maren Reimer; Klarissa Stuerner; Ralf Baron; Steffen Paschen; Thorben Beyer; Denise Dopcke; Tobias Eiken; Hendrik Ortmann; Falko Peters; Felix von der Recke; Moritz Riesen; Gothia Rohwedder; Anna Schaade; Maike Schumacher; Anton Sondermann; Walter Maetzler; Clint Hansen

doi:10.3390/s21175833

Sensors (Aug 2021)

Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol

Elke Warmerdam,
Robbin Romijnders,
Johanna Geritz,
Morad Elshehabi,
Corina Maetzler,
Jan Carl Otto,
Maren Reimer,
Klarissa Stuerner,
Ralf Baron,
Steffen Paschen,
Thorben Beyer,
Denise Dopcke,
Tobias Eiken,
Hendrik Ortmann,
Falko Peters,
Felix von der Recke,
Moritz Riesen,
Gothia Rohwedder,
Anna Schaade,
Maike Schumacher,
Anton Sondermann,
Walter Maetzler,
Clint Hansen

Affiliations

Elke Warmerdam: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Robbin Romijnders: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Johanna Geritz: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Morad Elshehabi: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Corina Maetzler: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Jan Carl Otto: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Maren Reimer: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Klarissa Stuerner: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Ralf Baron: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Steffen Paschen: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Thorben Beyer: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Denise Dopcke: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Tobias Eiken: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Hendrik Ortmann: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Falko Peters: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Felix von der Recke: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Moritz Riesen: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Gothia Rohwedder: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Anna Schaade: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Maike Schumacher: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Anton Sondermann: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Walter Maetzler: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany
Clint Hansen: Department of Neurology, Kiel University, Arnold-Heller-Str. 3, 24105 Kiel, Germany

DOI: https://doi.org/10.3390/s21175833
Journal volume & issue: Vol. 21, no. 17
p. 5833

Abstract

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Healthy adults and neurological patients show unique mobility patterns over the course of their lifespan and disease. Quantifying these mobility patterns could support diagnosing, tracking disease progression and measuring response to treatment. This quantification can be done with wearable technology, such as inertial measurement units (IMUs). Before IMUs can be used to quantify mobility, algorithms need to be developed and validated with age and disease-specific datasets. This study proposes a protocol for a dataset that can be used to develop and validate IMU-based mobility algorithms for healthy adults (18–60 years), healthy older adults (>60 years), and patients with Parkinson’s disease, multiple sclerosis, a symptomatic stroke and chronic low back pain. All participants will be measured simultaneously with IMUs and a 3D optical motion capture system while performing standardized mobility tasks and non-standardized activities of daily living. Specific clinical scales and questionnaires will be collected. This study aims at building the largest dataset for the development and validation of IMU-based mobility algorithms for healthy adults and neurological patients. It is anticipated to provide this dataset for further research use and collaboration, with the ultimate goal to bring IMU-based mobility algorithms as quickly as possible into clinical trials and clinical routine.

Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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