Measurement Properties of the Smartphone-Based B-B Score in Current Shoulder Pathologies

Pichonnaz, Claude; Duc, Cyntia; Gleeson, Nigel; Ancey, Céline; Jaccard, Hervé; Lécureux, Estelle; Farron, Alain; Jolles, Brigitte M.; Aminian, Kamiar

doi:10.3390/s151026801

Cited by 7 publications

(7 citation statements)

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“…They presented with one of the following shoulder conditions, as recorded during their first medical consultation at the specialized shoulder consultation unit of the hospital: rotator cuff condition, adhesive capsulitis, proximal humerus fracture i.e. the pathologies for which the B-B score measurement properties were known as appropriate [ 29 ]. With the exception of patients with fracture, patients who gave their consent underwent the measurement session within two weeks following medical consultation.…”

Section: Methodsmentioning

confidence: 99%

“…The smartphone was also attached to the back of the arm with an armband. The lower edge of the smartphone was set 3 cm above the upper edge of the inertial sensors’ module [ 29 ]. Similar to previous work angular velocities and accelerations in the sensor frame have been used to calculate the B-B Score [ 11 , 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…Pichonnaz et al [ 29 ] investigated the measurement properties of a smartphone-based version of the B-B Score in various shoulder pathologies. Diagnostic power, responsiveness and concurrent validity with shoulder function questionnaires were insufficient for shoulder instability, but were appropriate for patients conservatively treated for rotator cuff conditions or capsulitis, and patients surgically or conservatively treated for proximal humerus fracture, when compared to accepted clinimetric standards.…”

Section: Introductionmentioning

confidence: 99%

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Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score

et al. 2017

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BackgroundThe B-B Score is a straightforward kinematic shoulder function score including only two movements (hand to the Back + lift hand as to change a Bulb) that demonstrated sound measurement properties for patients for various shoulder pathologies. However, the B-B Score results using a smartphone or a reference system have not yet been compared. Provided that the measurement properties are comparable, the use of a smartphone would offer substantial practical advantages. This study investigated the concurrent validity of a smartphone and a reference inertial system for the measurement of the kinematic shoulder function B-B Score.MethodsSixty-five patients with shoulder conditions (with rotator cuff conditions, adhesive capsulitis and proximal humerus fracture) and 20 healthy participants were evaluated using a smartphone and a reference inertial system. Measurements were performed twice, alternating between two evaluators. The B-B Score differences between groups, differences between devices, relationship between devices, intra- and inter-evaluator reproducibility were analysed.ResultsThe smartphone mean scores (SD) were 94.1 (11.1) for controls and 54.1 (18.3) for patients (P < 0.01). The difference between devices was non-significant for the control (P = 0.16) and the patient group (P = 0.81). The analysis of the relationship between devices showed 0.97 ICC, −0.6 bias and −13.2 to 12.0 limits of agreement (LOA). The smartphone intra-evaluator ICC was 0.92, the bias 1.5 and the LOA −17.4 to 20.3. The smartphone inter-evaluator ICC was 0.92, the bias 1.5 and the LOA −16.9 to 20.0.ConclusionsThe B-B Score results measured with a smartphone were comparable to those of an inertial system. While single measurements diverged in some cases, the intra- and inter-evaluator reproducibility was excellent and was equivalent between devices. The B-B score measured with a smartphone is straightforward and as efficient as a reference inertial system measurement.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score

et al. 2017

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“…This has enabled Wireless Body Area Networks (WBANs)/Wireless Body Sensor Networks (WBSNs) to become a key technology in real-time health monitoring of patients, providing effective detection and treatment of acute diseases [1,2,3,4,5,6,7]. It is envisioned that WBAN/WBSN will have an annual device shipment of 187.2 million units by 2020 [2,3].…”

Section: Introductionmentioning

confidence: 99%

Patterns-of-Life Aided Authentication

Zhao

Ren

Zhang

et al. 2016

Sensors

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Wireless Body Area Network (WBAN) applications have grown immensely in the past few years. However, security and privacy of the user are two major obstacles in their development. The complex and very sensitive nature of the body-mounted sensors means the traditional network layer security arrangements are not sufficient to employ their full potential, and novel solutions are necessary. In contrast, security methods based on physical layers tend to be more suitable and have simple requirements. The problem of initial trust needs to be addressed as a prelude to the physical layer security key arrangement. This paper proposes a patterns-of-life aided authentication model to solve this issue. The model employs the wireless channel fingerprint created by the user’s behavior characterization. The performance of the proposed model is established through experimental measurements at 2.45 GHz. Experimental results show that high correlation values of 0.852 to 0.959 with the habitual action of the user in different scenarios can be used for auxiliary identity authentication, which is a scalable result for future studies.

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“…Apps rely on an internal smartphone inclinometer 26 or a photographic virtual goniometer 21 to measure ROM. Several studies have demonstrated joint ROM measured with apps to be reliable and accurate compared with traditional methods,7, 14, 15, 19, 21, 23, 25, 26, 29 but studies performed on the shoulder were limited by inclusion of only participants with no joint disease (for whom they have the most potential clinical application). In addition, no shoulder study considered the impact that ROM variability may have on shoulder scores with an objective ROM component.…”

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Smartphone applications for the evaluation of pathologic shoulder range of motion and shoulder scores—a comparative study

et al. 2018

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Hypothesis and backgroundAccurate measurement of range of motion (ROM) is important in evaluating a pathologic shoulder and calculating shoulder scores. The aim of this study was to establish the reliability and validity of different smartphone applications (apps) in assessing pathologic shoulder ROM and to determine whether differences in recorded ROM measurements affect calculated shoulder scores. The authors hypothesized that there is no difference between shoulder ROM assessment methods and calculated shoulder scores.MethodsIn this nonrandomized controlled clinical trial, ROM of 75 participants with a history of shoulder disease (21 women, 54 men) was assessed using a smartphone inclinometer and virtual goniometer, a standard goniometer, and clinicians' visual estimation. Shoulder strength was assessed, and Constant-Murley (CM) and University of California–Los Angeles (UCLA) shoulder scores were calculated.ResultsIndependent of diagnosis or operation, all cases (except for passive glenohumeral abduction of unstable shoulders) showed excellent intraclass correlation coefficients (>0.84). Interobserver reliability was excellent for all ROM measures (intraclass correlation coefficient > 0.97). All modalities had excellent agreement to values attained with the universal goniometer. There were no differences for the calculated CM or UCLA scores between the modalities employed to measure ROM.ConclusionsA smartphone inclinometer or virtual goniometer is comparable to other clinical methods of measuring pathologic shoulder ROM. Clinicians can employ smartphone applications with confidence to measure shoulder ROM and to calculate UCLA and CM scores. The apps are also available to patients and may be a useful adjunct to physiotherapy, especially in cases of limited access to health care services.

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Measurement Properties of the Smartphone-Based B-B Score in Current Shoulder Pathologies

Cited by 7 publications

References 45 publications

Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score

Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score

Patterns-of-Life Aided Authentication

Smartphone applications for the evaluation of pathologic shoulder range of motion and shoulder scores—a comparative study

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