Concurrent validity and reliability of a novel wireless inertial measurement system to assess trunk movement
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INTRODUCTION Assessment of movement dysfunctions commonly comprises trunk range of motion (ROM), movement or control impairment (MCI), repetitive movements (RM), and reposition error (RE). Inertial measurement unit (IMU)-systems could be used to quantify these movement dysfunctions in clinical settings. The aim of this study was to evaluate a novel IMU-system when assessing movement dysfunctions in terms of concurrent validity and reliability. METHODS The concurrent validity of the IMU-system was tested against an optoelectronic system with 22 participants. The reliability of 14 movement dysfunction tests were analysed using generalizability theory and coefficient of variation, measuring 24 participants in seven trials on two days. RESULTS The IMU-system provided valid estimates of trunk movement in the primary movement direction when compared to the optoelectronic system. Reliability varied across tests and variables. On average, ROM and RM were more reliable, compared to MCI and RE tests. DISCUSSION When compared to the optoelectronic system, the IMU-system is valid for estimates of trunk movement in the primary movement direction. Four ROM, two MCI, one RM, and one RE test were identified as reliable and should be studied further for inter-subject comparisons and monitoring changes after an intervention.
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Trunk reliability results are consistent and demonstrate good to excellent intra-rater reliability (ICC ≥0.8 except coronal plane fair to excellent 0.67 to 0.93).
“Results from these three studies are consistent and demonstrate good to excellent intra-rater reliability (ICC ≥ 0.8 except for coronal plane which is fair to excellent (0.67 to 0.93)) [46,66,68].”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [46]
Hip intra-rater reliability is fair to excellent and inter-rater reliability varied across movements (good for walking ICC 0.4 to 0.74 and poor for jumping ICC ≤0.39).
“Intra-rater reliability is fair to excellent and inter-rater reliability varied across movements performed (good for walking [ICC of 0.4 to 0.74] and poor for jumping [ICC ≤ 0.39] [46,53,66]).”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [46]
Errors reported for camera-based motion capture systems varied across movement planes and joints, similar to M/IMUs.
“Interestingly, and similar to M/IMUs, errors reported for camera-based motion capture systems varied across movement planes and joints.”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [46]
Several studies have questioned the validity and accuracy of camera-based motion capture systems for certain joints and for complex movements.
“It is important to note here that, recently, several studies have questioned the validity and accuracy of camera-based motion capture systems for certain joints and for complex movements [46,54].”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [46]
Errors ranging from 5 to 10° when compared to goniometer, inclinometer, and radiostereometric measurements have been evidenced for camera-based motion capture systems, the same error range as M/IMU systems.
“Indeed, errors ranging from 5 to 10° when compared to goniometer, inclinometer, and radiostereometric measurements have been evidenced (same error range as M/IMU systems).”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [46]
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Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review
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Self-citation
- Authors
- Bauer, C. M., Rast, F. M., Ernst, M. J., Kool, J., Oetiker, S., Rissanen, S. M., Suni, J. H., & Kankaanpää, M.
- Affiliations
- University of Tampere (FI)
- ZHAW Zurich University of Applied Sciences (CH)
- University of Eastern Finland (FI)
- Urho Kaleva Kekkonen Institute (FI)
- Corresponding author
- Bauer, C.M.
- Venue
- Journal of Electromyography and Kinesiology
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 25
- Issue
- 5
- Pages
- 782-790
- ISSN
- 1050-6411 (ISSN-L)
- OpenAlex
- W1810429939
- Semantic Scholar
- b0007d7290c12b3310ee9624540674eed70f87ac
- Cited by
- 97
- References
- 39
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 10 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 10 · 2019: 14 · 2018: 11 · 2017: 4 · 2016: 6 · 2015: 2
- FWCI
- 5.55
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Journal of Electromyography and Kinesiology (publishedVersion)
- PubMed (publishedVersion)
- Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (submittedVersion, cc-by-nc-nd)
- ZHAW Digital Collection
- Funders
- Swiss Commission of Technical Innovation
- Topics
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Social Sciences › Psychology › Social Psychology › Ergonomics and Musculoskeletal Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- inertial measurement unit, trunk movement, concurrent validity, test-retest reliability, range of motion, repetitive movements, optical motion capture, generalizability theory
- MeSH terms
- Adult, Female, Humans, Male, Movement, Myography, Muscle, Skeletal, Wireless Technology, Torso
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