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Roldán-Jiménez C, Cuadros-Romero M, Bennett P, Cuesta-Vargas AI. Differences in Tridimensional Shoulder Kinematics between Asymptomatic Subjects and Subjects Suffering from Rotator Cuff Tears by Means of Inertial Sensors: A Cross-Sectional Study. SENSORS (BASEL, SWITZERLAND) 2023; 23:1012. [PMID: 36679809 PMCID: PMC9864778 DOI: 10.3390/s23021012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/04/2023] [Accepted: 01/11/2023] [Indexed: 06/17/2023]
Abstract
Background: The aim of this study was to analyze differences in three-dimensional shoulder kinematics between asymptomatic subjects and patients who were diagnosed with rotator cuff tears. Methods: This cross-sectional study recruited 13 symptomatic subjects and 14 asymptomatic subjects. Data were obtained from three inertial sensors placed on the humerus, scapula and sternum. Kinematic data from the glenohumeral, scapulothoracic and thoracohumeral joints were also calculated. The participants performed shoulder abductions and flexions. The principal angles of movements and resultant vectors in each axis were studied. Results: The glenohumeral joint showed differences in abduction (p = 0.001) and flexion (p = 0.000), while differences in the scapulothoracic joint were only significant during flexion (p = 0.001). The asymptomatic group showed higher velocity values in all sensors for both movements, with the differences being significant (p < 0.007). Acceleration differences were found in the scapula during abduction (p = 0.001) and flexion (p = 0.014), as well as in the sternum only during shoulder abduction (p = 0.022). Conclusion: The results showed kinematic differences between the patients and asymptomatic subjects in terms of the mobility, velocity and acceleration variables, with lower values for the patients.
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Affiliation(s)
- Cristina Roldán-Jiménez
- Department of Physiotherapy, Faculty of Health Sciences, Universidad de Malaga, 29016 Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), 29590 Málaga, Spain
| | - Miguel Cuadros-Romero
- Unit of Upper Limb Orthopedic Surgery of Hospital, University of Malaga, 29010 Málaga, Spain
| | - Paul Bennett
- School of Clinical Science, Faculty of Health Science, Queensland University Technology, Brisbane City, QLD 4059, Australia
| | - Antonio I. Cuesta-Vargas
- Department of Physiotherapy, Faculty of Health Sciences, Universidad de Malaga, 29016 Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), 29590 Málaga, Spain
- School of Clinical Science, Faculty of Health Science, Queensland University Technology, Brisbane City, QLD 4059, Australia
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Roldán-Jiménez C, Cuesta-Vargas AI, Martín JM. Discriminating the precision of inertial sensors between healthy and damaged shoulders during scaption movement: A cross-sectional study. Clin Biomech (Bristol, Avon) 2021; 82:105257. [PMID: 33406457 DOI: 10.1016/j.clinbiomech.2020.105257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 12/19/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Shoulder assessment in rehabilitation is focused on kinematic properties due to the variability of symptomatology and clinical expression of shoulder injuries. AIM To perform a receiver operating characteristic analysis of the kinematic variables involved in the functional mobility of the shoulder that allow the identification of discriminating variables between healthy and diseased shoulders during scaption motion. METHOD Analytical cross-sectional study of diagnostic effectiveness was performed in 27 subjects suffering from shoulder damage and 14 asymptomatic controls. Scaption kinematics were evaluated using four inertial sensors placed on the humerus, scapula, forearm and sternum. Three variables (mobility, velocity and acceleration) were obtained from each sensor and the norm of the resultant vector was calculated from each axis. A discriminatory receiver operating characteristic analysis was performed, obtaining the area under the curve, sensitivity and specificity. FINDINGS Significant differences from both the resultant vectors and the axis depended on the body segment analysed were observed. Greater movement velocity and acceleration were observed in the asymptomatic group. Receiver operating characteristic analysis, scapular protraction-retraction mobility distinguished with a diagnostic sensitivity of 83.3% and specificity of 90.9% between asymptomatic and shoulder-damaged patients. These diagnosis values were 83.3% and 72.7% for scapular anterior-posterior velocity. Scapular kinematics, in terms of mobility and velocity, are the key variables in shoulder assessment. INTERPRETATION This study discriminated between patients suffering from shoulder damage and asymptomatic subjects based on shoulder kinematics during scaption motion. Scapular mobility and velocity were found to be key variables in shoulder assessment, along with the humerus.
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Affiliation(s)
- Cristina Roldán-Jiménez
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain; Biomedical Research Institute of Málaga (IBIMA), (F-14), Spain
| | - Antonio I Cuesta-Vargas
- Department of Physiotherapy, University of Málaga, 29071 Málaga, Spain; Biomedical Research Institute of Málaga (IBIMA), (F-14), Spain; School of Clinical Science, Faculty of Health Science, Queensland University Technology, Australia.
| | - Jaime Martín Martín
- Biomedical Research Institute of Málaga (IBIMA), (F-14), Spain; University of Medicine, Department of Human Anatomy, Legal Medicine and History of Science; Area of Legal Medicine, Spain
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Burns D, Razmjou H, Shaw J, Richards R, McLachlin S, Hardisty M, Henry P, Whyne C. Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study. JMIR Res Protoc 2020; 9:e17841. [PMID: 32623366 PMCID: PMC7381014 DOI: 10.2196/17841] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/26/2020] [Accepted: 04/26/2020] [Indexed: 12/12/2022] Open
Abstract
Background Physiotherapy is essential for the successful rehabilitation of common shoulder injuries and following shoulder surgery. Patients may receive some training and supervision for shoulder physiotherapy through private pay or private insurance, but they are typically responsible for performing most of their physiotherapy independently at home. It is unknown how often patients perform their home exercises and if these exercises are performed correctly without supervision. There are no established tools for measuring this. It is, therefore, unclear if the full benefit of shoulder physiotherapy treatments is being realized. Objective The proposed research will (1) validate a smartwatch and machine learning (ML) approach for evaluating adherence to shoulder exercise participation and technique in a clinical patient population with rotator cuff pathology; (2) quantify the rate of home physiotherapy adherence, determine the effects of adherence on recovery, and identify barriers to successful adherence; and (3) develop and pilot test an ethically conscious adherence-driven rehabilitation program that individualizes patient care based on their capacity to effectively participate in their home physiotherapy. Methods This research will be conducted in 2 phases. The first phase is a prospective longitudinal cohort study, involving 120 patients undergoing physiotherapy for rotator cuff pathology. Patients will be issued a smartwatch that will record 9-axis inertial sensor data while they perform physiotherapy exercises both in the clinic and in the home setting. The data collected in the clinic under supervision will be used to train and validate our ML algorithms that classify shoulder physiotherapy exercise. The validated algorithms will then be used to assess home physiotherapy adherence from the inertial data collected at home. Validated outcome measures, including the Disabilities of the Arm, Shoulder, and Hand questionnaire; Numeric Pain Rating Scale; range of motion; shoulder strength; and work status, will be collected pretreatment, monthly through treatment, and at a final follow-up of 12 months. We will then relate improvement in patient outcomes to measured physiotherapy adherence and patient baseline variables in univariate and multivariate analyses. The second phase of this research will involve the evaluation of a novel rehabilitation program in a cohort of 20 patients. The program will promote patient physiotherapy engagement via the developed technology and support adherence-driven care decisions. Results As of December 2019, 71 patients were screened for enrollment in the noninterventional validation phase of this study; 65 patients met the inclusion and exclusion criteria. Of these, 46 patients consented and 19 declined to participate in the study. Only 2 patients de-enrolled from the study and data collection is ongoing for the remaining 44. Conclusions This study will provide new and important insights into shoulder physiotherapy adherence, the relationship between adherence and recovery, barriers to better adherence, and methods for addressing them. International Registered Report Identifier (IRRID) DERR1-10.2196/17841
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Affiliation(s)
- David Burns
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Helen Razmjou
- Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Working Condition Program, Holland Orthopedic and Arthritic Centre, Toronto, ON, Canada.,Department of Physical Therapy, University of Toronto, Toronto, ON, Canada
| | - James Shaw
- Women's College Research Institute, Toronto, ON, Canada.,Joint Centre for Bioethics, University of Toronto, Toronto, ON, Canada
| | - Robin Richards
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Stewart McLachlin
- Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Michael Hardisty
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Patrick Henry
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Cari Whyne
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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Bavan L, Wood J, Surmacz K, Beard D, Rees J. Instrumented assessment of shoulder function: A study of inertial sensor based methods. Clin Biomech (Bristol, Avon) 2020; 72:164-171. [PMID: 31891822 DOI: 10.1016/j.clinbiomech.2019.12.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/14/2019] [Accepted: 12/16/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Inertial sensors have the potential to provide objective and practical methods to assess joint and limb function in the clinical setting. The aim of this study is to evaluate the psychometric properties of inertial sensor metrics in the assessment of patients with subacromial shoulder pain. METHODS 25 patients with unilateral subacromial shoulder pain and 50 control subjects were recruited. Assessments were carried out on both shoulders for all participants during a short movement procedure. Patients had assessments repeated after receiving three months of physiotherapy. Inertial metrics evaluated included a smoothness measure and speed and power scores derived from the range of angular velocity and acceleration profiles. Individual shoulder scores and asymmetry scores were both evaluated in terms of reliability, known-group validity, convergent validity and responsiveness. FINDINGS Regression analysis identified age to be a significant predictor for all scores, therefore an age matched sub-cohort of control subjects was used for comparative analyses. All scores demonstrated inter-rater reliability (ICC = 0.48-0.82), were able to differentiate pathological from healthy shoulders (AUC = 0.62-0.91) and displayed significant changes following treatment. Scores derived from the range of acceleration and velocity profiles demonstrated the largest effect sizes (Cohens d = 0.8-1.35), and displayed the highest correlation with the Oxford Shoulder Score (r = -0.40 - -0.58). INTERPRETATION The scores investigated demonstrate good psychometric properties and have potential to complement existing methods of assessment in the clinical or research setting. Further work is required to fully understand their clinical relevance and optimise assessment methods and interpretation.
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Affiliation(s)
- Luckshman Bavan
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Old Road, Oxford OX3 7LD, United Kingdom.
| | - Jonathan Wood
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Old Road, Oxford OX3 7LD, United Kingdom.
| | - Karl Surmacz
- McLaren Applied Technologies, McLaren Technology Centre, Chertsey Road, Woking GU21 4YH, United Kingdom.
| | - David Beard
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Old Road, Oxford OX3 7LD, United Kingdom.
| | - Jonathan Rees
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Old Road, Oxford OX3 7LD, United Kingdom.
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Roldán-Jiménez C, Martin-Martin J, Cuesta-Vargas AI. Reliability of a Smartphone Compared With an Inertial Sensor to Measure Shoulder Mobility: Cross-Sectional Study. JMIR Mhealth Uhealth 2019; 7:e13640. [PMID: 31493320 PMCID: PMC6754695 DOI: 10.2196/13640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/09/2019] [Accepted: 06/29/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The shoulder is one of the joints with the greatest mobility within the human body and its evaluation is complex. An assessment can be conducted using questionnaires or functional tests, and goniometry can complement the information obtained in this assessment. However, there are now validated devices that can provide more information on the realization of movement, such as inertial sensors. The cost of these devices is usually high and they are not available to all clinicians, but there are also inertial sensors that are implemented in mobile phones which are cheaper and widely available. Results from the inertial sensors integrated into mobile devices can have the same reliability as those from dedicated sensors. OBJECTIVE This study aimed to validate the use of the Nexus 4 smartphone as a measuring tool for the mobility of the humerus during shoulder movement compared with a dedicated InertiaCube3 (Intersense) sensor. METHODS A total of 43 subjects, 27 affected by shoulder pathologies and 16 asymptomatic, participated in the study. Shoulder flexion, abduction, and scaption were measured using an InertiaCube3 and a Nexus 4 smartphone, which were attached to the participants to record the results simultaneously. The interclass correlation coefficient (ICC) was calculated based on the 3 movements performed. RESULTS The smartphone reliably recorded the velocity values and simultaneously recorded them alongside the inertial sensor. The ICCs of the 3 gestures and for each of the axes of movement were analyzed with a 95% CI. In the abduction movement, the devices demonstrated excellent interclass reliability for the abduction humeral movement axis (Cronbach alpha=.98). The axis of abduction of the humeral showed excellent reliability for the movements of flexion (Cronbach alpha=.93) and scaption (Cronbach alpha=.98). CONCLUSIONS Compared with the InertiaCube3, the Nexus 4 smartphone is a reliable and valid tool for recording the velocity produced in the shoulder.
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Affiliation(s)
- Cristina Roldán-Jiménez
- Clinimetric Group F-14 Biomedical Research Institute of Malaga, Malaga, Spain.,Department of Physiotherapy, Faculty of Health Sciences, University of Malaga, Malaga, Spain
| | - Jaime Martin-Martin
- Clinimetric Group F-14 Biomedical Research Institute of Malaga, Malaga, Spain.,Legal Medicine Area, Department of Human Anatomy, Legal Medicine and History of Science, Faculty of Medicine, University of Malaga, Malaga, Spain
| | - Antonio I Cuesta-Vargas
- Clinimetric Group F-14 Biomedical Research Institute of Malaga, Malaga, Spain.,Department of Physiotherapy, Faculty of Health Sciences, University of Malaga, Malaga, Spain.,Institute of Health & Biomedical Innovation, Faculty of Health, Queensland University Technology, Queensland, Australia
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Burns DM, Leung N, Hardisty M, Whyne CM, Henry P, McLachlin S. Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch. Physiol Meas 2018; 39:075007. [PMID: 29952759 DOI: 10.1088/1361-6579/aacfd9] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Participation in a physical therapy program is considered one of the greatest predictors of successful conservative management of common shoulder disorders. However, adherence to these protocols is often poor and typically worse for unsupervised home exercise programs. Currently, there are limited tools available for objective measurement of adherence in the home setting. The goal of this study was to develop and evaluate the potential for performing home shoulder physiotherapy monitoring using a commercial smartwatch. APPROACH Twenty healthy adult subjects with no prior shoulder disorders performed seven exercises from an evidence-based rotator cuff physiotherapy protocol, while 6-axis inertial sensor data was collected from the active extremity. Within an activity recognition chain (ARC) framework, four supervised learning algorithms were trained and optimized to classify the exercises: k-nearest neighbor (k-NN), random forest (RF), support vector machine classifier (SVC), and a convolutional recurrent neural network (CRNN). Algorithm performance was evaluated using 5-fold cross-validation stratified first temporally and then by subject. MAIN RESULTS Categorical classification accuracy was above 94% for all algorithms on the temporally stratified cross validation, with the best performance achieved by the CRNN algorithm (99.4%). The subject stratified cross validation, which evaluated classifier performance on unseen subjects, yielded lower accuracies scores again with CRNN performing best (88.9%). SIGNIFICANCE This proof of concept study demonstrates the technical feasibility of a smartwatch device and supervised machine learning approach to more easily monitor and assess the at-home adherence of shoulder physiotherapy exercise protocols.
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Affiliation(s)
- David M Burns
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Canada
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De Baets L, van der Straaten R, Matheve T, Timmermans A. Shoulder assessment according to the international classification of functioning by means of inertial sensor technologies: A systematic review. Gait Posture 2017; 57:278-294. [PMID: 28683420 DOI: 10.1016/j.gaitpost.2017.06.025] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Revised: 05/12/2017] [Accepted: 06/23/2017] [Indexed: 02/02/2023]
Abstract
This review investigates current protocols using Inertial Measurement Units (IMUs) in shoulder research, and outlines future paths regarding IMU use for shoulder research. Different databases were searched for relevant articles. Criteria for study selection were (1) research in healthy persons or persons with shoulder problems, (2) IMUs applied as assessment tool for the shoulder (in healthy subjects and shoulder patients) or upper limb (in shoulder patients), (3) peer-reviewed, full-text papers in English or Dutch. Studies with less than five participants and without ethical approval were excluded. Data extraction included (1) study design, (2) participant characteristics, (3) type/brand of IMU, (4) tasks included in the assessment protocol, and (5) outcomes. Risk of bias was assessed using the Downs and Black checklist. Scapulothoracic/glenohumeral and humerothoracic kinematics were reported in respectively 10 and 27 of the 37 included papers. Only one paper in healthy persons assessed, next to scapulothoracic/glenohumeral kinematics, other upper limb joints. IMUs' validity and reliability to capture shoulder function was limited. Considering applied protocols, 39% of the protocols was located on the International-Classification-of-Functioning (ICF) function level, while 38% and 23% were on the 'capacity' and 'actual performance'-sublevel, of the ICF-activity level. Most available IMU-research regarding the shoulder is clinically less relevant, given the widely reported humerothoracic kinematics which do not add to clinical-decision-making, and the absence of protocols assessing the complete upper limb chain. Apart from knowledge on methodological pitfalls and opportunities regarding the use of IMUs, this review provides future research paths.
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Affiliation(s)
- Liesbet De Baets
- REVAL Rehabilitation Research Center - BIOMED Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.
| | - Rob van der Straaten
- REVAL Rehabilitation Research Center - BIOMED Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.
| | - Thomas Matheve
- REVAL Rehabilitation Research Center - BIOMED Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.
| | - Annick Timmermans
- REVAL Rehabilitation Research Center - BIOMED Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.
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Pichonnaz C, Aminian K, Ancey C, Jaccard H, Lécureux E, Duc C, Farron A, Jolles BM, Gleeson N. Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score. PLoS One 2017; 12:e0174365. [PMID: 28319141 PMCID: PMC5358877 DOI: 10.1371/journal.pone.0174365] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 03/08/2017] [Indexed: 01/29/2023] Open
Abstract
Background The 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. Methods Sixty-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. Results The 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. Conclusions The 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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Affiliation(s)
- Claude Pichonnaz
- Physiotherapy Department, Haute Ecole de Santé Vaud (HESAV)//HES-SO, University of Applied Sciences Western Switzerland, Lausanne, Switzerland
- Service of Orthopaedics and Traumatology, Department of Musculoskeletal Medicine, University Hospital of Lausanne, Lausanne, Switzerland., CHUV-UNIL, Lausanne, Switzerland
- * E-mail:
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Céline Ancey
- Physiotherapy Department, Haute Ecole de Santé Vaud (HESAV)//HES-SO, University of Applied Sciences Western Switzerland, Lausanne, Switzerland
| | - Hervé Jaccard
- Physiotherapy Department, Haute Ecole de Santé Vaud (HESAV)//HES-SO, University of Applied Sciences Western Switzerland, Lausanne, Switzerland
- Service of Orthopaedics and Traumatology, Department of Musculoskeletal Medicine, University Hospital of Lausanne, Lausanne, Switzerland., CHUV-UNIL, Lausanne, Switzerland
| | | | - Cyntia Duc
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Alain Farron
- Service of Orthopaedics and Traumatology, Department of Musculoskeletal Medicine, University Hospital of Lausanne, Lausanne, Switzerland., CHUV-UNIL, Lausanne, Switzerland
| | - Brigitte M. Jolles
- Service of Orthopaedics and Traumatology, Department of Musculoskeletal Medicine, University Hospital of Lausanne, Lausanne, Switzerland., CHUV-UNIL, Lausanne, Switzerland
| | - Nigel Gleeson
- School of Health Sciences, Queen Margaret University, Edinburgh, Scotland
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Measurement properties of the smartphone-based B-B Score in current shoulder pathologies. SENSORS 2015; 15:26801-17. [PMID: 26506355 PMCID: PMC4634494 DOI: 10.3390/s151026801] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Revised: 09/17/2015] [Accepted: 10/12/2015] [Indexed: 02/06/2023]
Abstract
This study is aimed at the determination of the measurement properties of the shoulder function B-B Score measured with a smartphone. This score measures the symmetry between sides of a power-related metric for two selected movements, with 100% representing perfect symmetry. Twenty healthy participants, 20 patients with rotator cuff conditions, 23 with fractures, 22 with capsulitis, and 23 with shoulder instabilities were measured twice across a six-month interval using the B-B Score and shoulder function questionnaires. The discriminative power, responsiveness, diagnostic power, concurrent validity, minimal detectable change (MDC), minimal clinically important improvement (MCII), and patient acceptable symptom state (PASS) were evaluated. Significant differences with the control group and significant baseline—six-month differences were found for the rotator cuff condition, fracture, and capsulitis patient groups. The B-B Score was responsive and demonstrated excellent diagnostic power, except for shoulder instability. The correlations with clinical scores were generally moderate to high, but lower for instability. The MDC was 18.1%, the MCII was 25.2%, and the PASS was 77.6. No floor effect was observed. The B-B Score demonstrated excellent measurement properties in populations with rotator cuff conditions, proximal humerus fractures, and capsulitis, and can thus be used as a routine test to evaluate those patients.
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