Instrumented BASFI (iBASFI) Shows Promising Reliability and Validity in the Assessment of Activity Limitations in Axial Spondyloarthritis

Swinnen, Thijs Willem; Milosevic, Milica; Huffel, Sabine Van; Dankaerts, Wim; Westhovens, René; Vlam, Kurt de

doi:10.3899/jrheum.150439

Cited by 11 publications

(8 citation statements)

References 40 publications

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“…However, in several cases, we opted for a repeated activity, to minimize the impact of single-trial variability and to be able to judge possible changes within one sequence. Although the repetition does not correspond to free-living behavior, it has been shown to yield more clinically-valid measures than a single execution [7]. Additionally, the patients were required to perform the activities as quickly as possible, to avoid differences due to the self-selected execution speed.…”

Section: Methodsmentioning

confidence: 99%

“…To overcome these shortcomings, our research group recently proposed a sensor-based objective approach to reliably and validly replace the hand-held chronometer during performance-based tests in a clinical environment [7]. Indeed, with the advent of relatively inexpensive inertial measurement units (IMUs), the objective measurement of activity is now possible, both in the clinical environment and in a patient’s real-life setting.…”

Section: Introductionmentioning

confidence: 99%

“…One study showed the relation between the subjective BASFI score mentioned earlier and the duration of the activity derived from an accelerometry signal [7]. Furthermore, some companies already offer products meant to objectively quantify the performance of a limited set of activities, such as sit-to-stand and timed-up-and-go [29].…”

Section: Introductionmentioning

confidence: 99%

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Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases

Billiet

Swinnen

Westhovens

et al. 2016

Sensors

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One of the important aspects to be considered in rheumatic and musculoskeletal diseases is the patient’s activity capacity (or performance), defined as the ability to perform a task. Currently, it is assessed by physicians or health professionals mainly by means of a patient-reported questionnaire, sometimes combined with the therapist’s judgment on performance-based tasks. This work introduces an approach to assess the activity capacity at home in a more objective, yet interpretable way. It offers a pilot study on 28 patients suffering from axial spondyloarthritis (axSpA) to demonstrate its efficacy. Firstly, a protocol is introduced to recognize a limited set of six transition activities in the home environment using a single accelerometer. To this end, a hierarchical classifier with the rejection of non-informative activity segments has been developed drawing on both direct pattern recognition and statistical signal features. Secondly, the recognized activities should be assessed, similarly to the scoring performed by patients themselves. This is achieved through the interval coded scoring (ICS) system, a novel method to extract an interpretable scoring system from data. The activity recognition reaches an average accuracy of 93.5%; assessment is currently 64.3% accurate. These results indicate the potential of the approach; a next step should be its validation in a larger patient study.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases

Billiet

Swinnen

Westhovens

et al. 2016

Sensors

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“…Content validity is good because patients were involved in developing the items. Additionally, the instrumented BASFI, in which an accelerometer is used to capture performance‐based measures of the items of the BASFI, helps demonstrate the face validity of the individual components of the BASFI (73). On the other hand, Roussou and Sultana (74) suggested in 2010 that not all of the key areas of importance to patients in functional capacity are captured in the BASFI.…”

Section: Bath Ankylosing Spondylitis Functional Indexmentioning

confidence: 99%

Measuring Outcomes in Axial Spondyloarthritis

Ogdie

Duarte‐García

Hwang

et al. 2020

Arthritis Care & Research

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“…Each task was performed twice to provide test-retest reliability. After an initial validity study on the first data set [5], six tests remained. Table 1 presents a summary of the activities.…”

Section: Datamentioning

confidence: 99%

Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach

et al. 2018

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Abstract:In current clinical practice, functional limitations due to chronic musculoskeletal diseases are still being assessed subjectively, e.g., using questionnaires and function scores. Performance-based methods, on the other hand, offer objective insights. Hence, they recently attracted more interest as an additional source of information. This work offers a step towards the shift to performance-based methods by recognizing standardized activities from continuous readings using a single accelerometer mounted on a patient's arm. The proposed procedure consists of two steps. Firstly, activities are segmented, including rejection of non-informative segments. Secondly, the segments are associated to predefined activities using a multiway pattern matching approach based on higher order discriminant analysis (HODA). The two steps are combined into a multi-layered framework. Experiments on data recorded from 39 patients with spondyloarthritis show results with a classification accuracy of 94.34% when perfect segmentation is assumed. Automatic segmentation has 89.32% overlap with this ideal scenario. However, combining both drops performance to 62.34% due to several badly-recognized subjects. Still, these results are shown to significantly outperform a more traditional pattern matching approach. Overall, the work indicates promising viability of the technique to automate recognition and, through future work, assessment, of functional capacity.

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Instrumented BASFI (iBASFI) Shows Promising Reliability and Validity in the Assessment of Activity Limitations in Axial Spondyloarthritis

Abstract: The proof-of-concept iBASFI showed promising reliability and validity in measuring activity capacity. The number of the iBASFI's PBM may be minimized, but further validation in larger axSpA cohorts is needed before its clinical use.

Cited by 11 publications

References 40 publications

Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases

Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases

Measuring Outcomes in Axial Spondyloarthritis

Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach

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