A feasibility study towards instrumentation of the Sport Concussion Assessment Tool (iSCAT)

Çelik, Yunus; Powell, Dylan; Woo, Wai Lok; Stuart, Samuel; Godfrey, Alan

doi:10.1109/embc44109.2020.9175656

Cited by 8 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is considerable recent work that has reported ways in which IMUs might be used for the assessment of standing postural stability and in the assessment of gait outcomes across a wide range of research disciplines [16][17][18][19][20][21][22][23]. In our sister study we demonstrated how IMUs might be used to assess the UTT-30 [11].…”

Section: Discussionmentioning

confidence: 67%

An Automated Approach to Instrumenting the Up-on-the-Toes Test(s)

et al. 2023

Self Cite

View full text Add to dashboard Cite

Normal ankle function provides a key contribution to everyday activities, particularly step/stair ascent and descent, where many falls occur. The rising to up-on-the-toes (UTT) 30 second test (UTT-30) is used in the clinical assessment of ankle muscle strength/function and endurance and is typically assessed by an observer counting the UTT movement completed. The aims of this study are: (i) to determine whether inertial measurement units (IMUs) provide valid assessment of the UTT-30 by comparing IMU-derived metrics with those from a force-platform (FP), and (ii) to describe how IMUs can be used to provide valid assessment of the movement dynamics/stability when performing a single UTT movement that is held for 5 s (UTT-stand). Twenty adults (26.2 ± 7.7 years) performed a UTT-30 and a UTT-stand on a force-platform with IMUs attached to each foot and the lumbar spine. We evaluate the agreement/association between IMU measures and measures determined from the FP. For UTT-30, IMU analysis of peaks in plantarflexion velocity and in FP’s centre of pressure (CoP) velocity was used to identify each repeated UTT movement and provided an objective means to discount any UTT movements that were not completed ‘fully’. UTT movements that were deemed to have not been completed ‘fully’ were those that yielded peak plantarflexion and CoP velocity values during the period of rising to up-on-the-toes that were below 1 SD of each participant’s mean peak rising velocity across their repeated UTT. The number of UTT movements detected by the IMU approach (23.5) agreed with the number determined by the FP (23.6), and each approach determined the same number of ‘fully’ completed movements (IMU, 19.9; FP, 19.7). For UTT-stand, IMU-derived movement dynamics/postural stability were moderately-to-strongly correlated with measures derived from the FP. Our findings highlight that the use of IMUs can provide valid assessment of UTT test(s).

show abstract

Section: Discussionmentioning

confidence: 67%

An Automated Approach to Instrumenting the Up-on-the-Toes Test(s)

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…Balance : The modified Balance Error Scoring System (mBESS) test [ 39 ] is an assessment protocol used to assess impairments in SRC [ 40 ]. The mBESS test assesses balance, postural stability across six different positions (double leg stance, single-leg stance, tandem stance) and tandem gait walking over 2.5–3 meters).…”

Section: Methodsmentioning

confidence: 99%

Wearables in rugby union: A protocol for multimodal digital sports-related concussion assessment

2021

Self Cite

View full text Add to dashboard Cite

Background Pragmatic challenges remain in the monitoring and return to play (RTP) decisions following suspected Sports Related Concussion (SRC). Reliance on traditional approaches (pen and paper) means players readiness for RTP is often based on self-reported symptom recognition as a marker for full physiological recovery. Non-digital approaches also limit opportunity for robust data analysis which may hinder understanding of the interconnected nature and relationships in deficit recovery. Digital approaches may provide more objectivity to measure and monitor impairments in SRC. Crucially, there is dearth of protocols for SRC assessment and digital devices have yet to be tested concurrently (multimodal) in SRC rugby union assessment. Here we propose a multimodal protocol for digital assessment in SRC, which could be used to enhance traditional sports concussion assessment approaches. Methods We aim to use a repeated measures observational study utilising a battery of multimodal assessment tools (symptom, cognitive, visual, motor). We aim to recruit 200 rugby players (male n≈100 and female n≈100) from University Rugby Union teams and local amateur rugby clubs in the North East of England. The multimodal battery assessment used in this study will compare metrics between digital methods and against traditional assessment. Conclusion This paper outlines a protocol for a multimodal approach for the use of digital technologies to augment traditional approaches to SRC, which may better inform RTP in rugby union. Findings may shed light on new ways of working with digital tools in SRC. Multimodal approaches may enhance understanding of the interconnected nature of impairments and provide insightful, more objective assessment and RTP in SRC. Clinical trial registration NCT04938570. https://clinicaltrials.gov/ct2/results?cond=NCT04938570&term=&cntry=&state=&city=&dist=

show abstract

“…Wearable IMUs for gait analysis have been shown to be pragmatic tools for a wide range of areas, such as diagnosis and severity analysis within a range of neurological disorders (e.g., Alzheimer's disease [27][28][29], Parkinson's disease (PD) [29][30][31] and Huntington's [32][33][34]); running gait analysis [35,36]; shoe recommendation [22]; and gait training through biofeedback [37] and as a component of sports-related concussion assessment [38]. However, the most notable developments are within neurological disorders, where the IMU quantification of variability and asymmetry gait characteristics is enabling a greater understanding of cognitive impairment [39] and fall risk [30].…”

Section: Introductionmentioning

confidence: 99%

IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring

Young

Mason

Morris

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

Walking/gait quality is a useful clinical tool to assess general health and is now broadly described as the sixth vital sign. This has been mediated by advances in sensing technology, including instrumented walkways and three-dimensional motion capture. However, it is wearable technology innovation that has spawned the highest growth in instrumented gait assessment due to the capabilities for monitoring within and beyond the laboratory. Specifically, instrumented gait assessment with wearable inertial measurement units (IMUs) has provided more readily deployable devices for use in any environment. Contemporary IMU-based gait assessment research has shown evidence of the robust quantifying of important clinical gait outcomes in, e.g., neurological disorders to gather more insightful habitual data in the home and community, given the relatively low cost and portability of IMUs. The aim of this narrative review is to describe the ongoing research regarding the need to move gait assessment out of bespoke settings into habitual environments and to consider the shortcomings and inefficiencies that are common within the field. Accordingly, we broadly explore how the Internet of Things (IoT) could better enable routine gait assessment beyond bespoke settings. As IMU-based wearables and algorithms mature in their corroboration with alternate technologies, such as computer vision, edge computing, and pose estimation, the role of IoT communication will enable new opportunities for remote gait assessment.

show abstract

A feasibility study towards instrumentation of the Sport Concussion Assessment Tool (iSCAT)

Cited by 8 publications

References 16 publications

An Automated Approach to Instrumenting the Up-on-the-Toes Test(s)

An Automated Approach to Instrumenting the Up-on-the-Toes Test(s)

Wearables in rugby union: A protocol for multimodal digital sports-related concussion assessment

IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring

Contact Info

Product

Resources

About