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Volume 21
Issue 13
10.3390/s21134492
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Communication

Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations

by
Andrew P. Lapointe
1,2,3,4,*,
Jessica N. Ritchie
5,
Rachel V. Vitali
6,
Joel S. Burma
1,3,7,
Ateyeh Soroush
1,3,5,
Ibukunoluwa Oni
1,3,5 and
Jeff F. Dunn
1,2,3,4,*
1
Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
2
Integrated Concussion Research Program, University of Calgary, Calgary, AB T2N 4N1, Canada
3
Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
4
Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
5
Schulich School of Engineering, University of Calgary, Calgary, AB T2N 4N1, Canada
6
Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
7
Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 4N1, Canada
*
Authors to whom correspondence should be addressed.
Sensors 2021, 21(13), 4492; https://doi.org/10.3390/s21134492
Submission received: 19 March 2021 / Revised: 27 May 2021 / Accepted: 23 June 2021 / Published: 30 June 2021
(This article belongs to the Section Wearables)
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Abstract

Accelerometers are being increasingly incorporated into neuroimaging devices to enable real-time filtering of movement artifacts. In this study, we evaluate the reliability of sway metrics derived from these accelerometers in a standard eyes-open balance assessment to determine their utility in multimodal study designs. Ten participants equipped with a head-mounted accelerometer performed an eyes-open standing condition on 7 consecutive days. Sway performance was quantified with 4 standard metrics: root-mean-square (RMS) acceleration, peak-to-peak (P2P) acceleration, jerk, and ellipse area. Intraclass correlation coefficients (ICC) quantified reliability. P2P in both the mediolateral (ICC = 0.65) and anteroposterior (ICC = 0.67) planes yielded the poorest reliability. Both ellipse area and RMS exhibited good reliability, ranging from 0.76 to 0.84 depending on the plane. Finally, jerk displayed the highest reliability with an ICC value of 0.95. Moderate to excellent reliability was observed in all sway metrics. These findings demonstrate that head-mounted accelerometers, commonly found in neuroimaging devices, can be used to reliably assess sway. These data validate the use of head-mounted accelerometers in the assessment of motor control alongside other measures of brain activity such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS).
Keywords: accelerometer; sway; reliability; balance; multimodal; inertial measurement unit (IMU) accelerometer; sway; reliability; balance; multimodal; inertial measurement unit (IMU)

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MDPI and ACS Style

Lapointe, A.P.; Ritchie, J.N.; Vitali, R.V.; Burma, J.S.; Soroush, A.; Oni, I.; Dunn, J.F. Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations. Sensors 2021, 21, 4492. https://doi.org/10.3390/s21134492

AMA Style

Lapointe AP, Ritchie JN, Vitali RV, Burma JS, Soroush A, Oni I, Dunn JF. Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations. Sensors. 2021; 21(13):4492. https://doi.org/10.3390/s21134492

Chicago/Turabian Style

Lapointe, Andrew P., Jessica N. Ritchie, Rachel V. Vitali, Joel S. Burma, Ateyeh Soroush, Ibukunoluwa Oni, and Jeff F. Dunn. 2021. "Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations" Sensors 21, no. 13: 4492. https://doi.org/10.3390/s21134492

APA Style

Lapointe, A. P., Ritchie, J. N., Vitali, R. V., Burma, J. S., Soroush, A., Oni, I., & Dunn, J. F. (2021). Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations. Sensors, 21(13), 4492. https://doi.org/10.3390/s21134492

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