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

Andrew P Lapointe; Jessica N Ritchie; Rachel V Vitali; Joel S Burma; Ateyeh Soroush; Ibukunoluwa Oni; Jeff F Dunn

doi:10.3390/s21134492

Back

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

Journal article

Open access

Peer reviewed

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

Andrew P Lapointe, Jessica N Ritchie, Rachel V Vitali, Joel S Burma, Ateyeh Soroush, Ibukunoluwa Oni and Jeff F Dunn

Sensors (Basel, Switzerland), Vol.21(13), p.4492

07/01/2021

DOI: 10.3390/s21134492

PMID: 34209391

Files and links (1)

url

https://doi.org/10.3390/s21134492View

Published (Version of record) Open Access

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).

accelerometer

balance

Communication

inertial measurement unit (IMU)

multimodal

reliability

sway

Details

Title: Subtitle: Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations
Creators: Andrew P Lapointe - University of Calgary
Jessica N Ritchie - University of Calgary
Rachel V Vitali - University of Iowa
Joel S Burma - University of Calgary
Ateyeh Soroush - University of Calgary
Ibukunoluwa Oni - University of Calgary
Jeff F Dunn - University of Calgary
Resource Type: Journal article
Publication Details: Sensors (Basel, Switzerland), Vol.21(13), p.4492
DOI: 10.3390/s21134492
PMID: 34209391
NLM abbreviation: Sensors (Basel)
ISSN: 1424-8220
eISSN: 1424-8220
Publisher: MDPI
Grant note: DOI: 10.13039/501100000024, name: Canadian Institutes of Health Research, award: 173416
Language: English
Date published: 07/01/2021
Academic Unit: Mechanical Engineering
Record Identifier: 9984195168402771

Metrics

68 Record Views

2 Times Cited - Web of Science