Shoulder Range Of Motion Measurements Research Articles

Association of Range of Motion Deficit and Recurrence of Pain After Treatment of Adhesive Capsulitis.

We evaluated the factors influencing the duration of significant pain reduction after conservative management for adhesive capsulitis (AC). Follow-up for 6-8months was performed with 141 patients with AC who experienced significant pain reduction after treatment. Clinical and demographic factors, numeric rating scale (NRS) scores, and shoulder range of motion (ROM) were collected and assessed pretreatment (T0), at 5weeks post-treatment (T1), and at 6-8months post-treatment (T2). Patients were divided into successful (n = 96) and unsuccessful (n = 45) NRS groups according to the degree of pain reduction at T2. We assessed post-treatment NRS and ROM improvement scores within each group and compared these parameters between the two groups. Significant NRS and ROM improvements were achieved in all patients who participated in our study. The unsuccessful NRS group demonstrated a lack of significant improvement in abduction at T1 and T2. All T1 and shoulder ROM measurements among the unsuccessful NRS group were significantly smaller than those among the successful NRS group. Failure to achieve a significant improvement in abduction angle after conservative management of AC was significantly associated with pain recurrence.

The diagnostic value of physical examination tests in adhesive capsulitis: a systematic review.

Adhesive capsulitis, a condition marked by pain and stiffness of the shoulder, can have a frustrating clinical course for patients and health care professionals. Despite huge research interest, a universally accepted and used definition of clinical criteria for the diagnosis of adhesive capsulitis is currently still lacking. This systematic review aimed to identify diagnostic values for clinical examinations tests used in the diagnosis of adhesive capsulitis. A total of 5 electronic databases (PubMed, Web of Science, Embase, Cochrane Central Register of Controlled Trials [CENTRAL] and PEDro) were searched for relevant studies from 2002 until October 2022 using the terms: "adhesive capsulitis AND diagnosis" and "frozen shoulder AND diagnosis." The Downs and Black Checklist (modified) was used to assess the risk of bias. The study protocol was prospectively registered at the International prospective register of systematic reviews (PROSPERO, CRD42022365993). The initial database search identified 1799 studies, of which 9 (0.50%) were eventually included in the systematic review. Non-intrusive shoulder range of motion measurements in patients with adhesive capsulitis using the Kinect for Windows (Microsoft, Redmond, WA, USA) showed high correlation with clinical range of motion measurement. Two specific clinical tests, the affected-unaffected shoulder approach of the Coracoid Pain Test and the Distension Test in Passive External Rotation, were identified and presented excellent sensibility and specificity in the diagnosis of adhesive capsulitis, in their original study. Comparison between clinical tests was not possible due to the heterogeneity in clinical tools. This systematic review identified several physical examination tests developed for the diagnosis of adhesive capsulitis but could not compare them nor advance a set of clinical diagnostic tests that are scientifically validated. Further research is warranted to obtain validation of clinical diagnosis tools for adhesive capsulitis.

How do digital range of motion measurement devices ‘measure-up’ to traditional goniometry in assessing shoulder range of motion? A systematic review and meta-analysis

Background Shoulder range of motion (ROM) is traditionally measured using universal goniometry. However, novel devices to measure shoulder ROM digitally are becoming increasingly available. We aimed to synthesise the current evidence to answer: 1) what technologies are currently in use? 2) Are they reliable? 3) How do they compare to goniometry? Methods Systematic review of the literature was conducted according to PRISMA guidelines. MEDLINE, Embase, CINAHL, Emcare and Cochrane databases were searched to identify studies comparing a digital device measuring shoulder ROM to goniometry in participants > = 18years. Quality of studies was assessed using COSMIN risk of bias tool. End points included device validity compared to goniometry and intra-rater reliability. Results 15 articles were included, representing 372 participants and 608 shoulders, and reporting data for five device categories; infrared/RGB-D, 3D-motion-analysis, combined 3D/infra-red, 2D-video-analysis and virtual-reality. Nine studies reported mean bias and 95% limits of agreement (LOA) compared to goniometry. Pooled mean bias was −0.25 degrees (−1.25, 0.75 95% LOA, random effects model) overall. This did not differ by device type (p = 0.83), sensor or non-sensor-based devices (p = 0.62) or plane of movement (p = 0.91). Conclusions These devices compare well to goniometry and represent a possible means of increasing efficiency and facilitating telemedicine.

Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Concurrent Validity and Reliability.

This study aimed to evaluate the reliability of the RSQ Motion sensor and its validity against the Propriometer and electronic goniometer in measuring the active range of motion (ROM) of the shoulder. The study included 15 volunteers (mean age 24.73 ± 3.31) without any clinical symptoms with no history of trauma, disease, or surgery to the upper limb. Four movements were tested: flexion, abduction, external and internal rotation. Validation was assessed in the full range of active shoulder motion. Reliability was revised in full active ROM, a fixed angle of 90 degrees for flexion and abduction, and 45 degrees for internal and external rotation. Each participant was assessed three times: on the first day by both testers and on the second day only by one of the testers. Goniometer and RSQ Motion sensors showed moderate to excellent correlation for all tested movements (ICC 0.61-0.97, LOA < 23 degrees). Analysis of inter-rater reliability showed good to excellent agreement between both testers (ICC 0.74-0.97, LOA 13-35 degrees). Analysis of intra-rater reliability showed moderate to a good agreement (ICC 0.7-0.88, LOA 22-37 degrees). The shoulder internal and external rotation measurement with RSQ Motion sensors is valid and reliable. There is a high level of inter-rater and intra-rater reliability for the RSQ Motion sensors and Propriometer.

Accuracy of a Smartphone Software Application Compared With a Handheld Goniometer for Measuring Shoulder Range of Motion in Asymptomatic Adults.

Typically, shoulder range of motion (ROM) measurements are performed in a clinic setting, where physicians, physical therapists (PTs), and occupational therapists make use of a goniometer. To determine the accuracy of a smartphone-based ROM software application (app) in assessing active shoulder ROM and compare the measurements with traditional goniometry as measured by a PT. Cohort study (diagnosis); Level of evidence, 2. This prospective, nonblinded study was conducted at a single institution with adult asymptomatic participants with full active ROM of both shoulders. Participants were enrolled between June 1 and 15, 2021. Each participant self-assessed their active shoulder ROM using the PeerWell smartphone app. A single PT concurrently measured each participant's active shoulder ROM using a handheld universal goniometer. Bilateral shoulder ROM (forward flexion, abduction [AB], external rotation, internal rotation [IR], and extension) was measured 2 times for each participant. Interrater reliability between the smartphone app and PT measurements as well as intrarater reliability for each method of measurement were assessed using the intraclass correlation coefficient (ICC), and limits of agreement were analyzed for the difference in measurement methods. Data were analyzed for 60 shoulders (30 right, 30 left) from 30 participants (mean age, 31.4 ± 11.7 years; 73% female). The interrater reliability between the 2 methods was excellent for all movements (ICCs, 0.90-0.96). For all movements except shoulder AB, the mean difference in the measurements between the 2 methods was <1.3°; the mean difference in AB ROM was 2.08°. For all movements except IR, both PTs and the app showed excellent intrarater reliability (ICCs >0.90); for IR, good intrarater reliability (ICC ≥0.75) was observed. The PeerWell smartphone app provided measurements comparable with manual measurements taken by a PT using a goniometer. These data provide evidence that the smartphone app is a reliable and valid tool for measuring shoulder ROM and show promise for measuring and monitoring patient ROM remotely.

The concurrent validity and reliability of virtual reality to measure shoulder flexion and scaption range of motion

BackgroundShoulder pain commonly has a detrimental impact on patient's work and social activities. Although pain is the most common reason for seeking care, a reduction in shoulder range of motion (ROM) is another common impairment. ROM assessment is used as an evaluation tool and multiple methods are available to measure shoulder ROM. Virtual reality (VR) has been introduced into shoulder rehabilitation, mostly when exercise and ROM measurement is indicated. This study evaluated the concurrent validity and system reliability of active ROM measurements of VR for people with and without shoulder pain. MethodsForty volunteers participated in this study. Virtual goniometry was used to assess active shoulder ROM. Participants performed flexion and scaption to six predetermined angles. Measurements from the VR goniometer and smartphone inclinometers were recorded simultaneously. To assess reliability, two identical test sequences were performed. ResultsThe concurrent validity ICCs were 0.93 for shoulder flexion and 0.94 for shoulder scaption. The VR goniometer application on average systematically overestimated the ROM compared to the smartphone inclinometer. The mean difference between goniometer values was −11.3 degrees for flexion and −10.9 for scaption. The system reliability was excellent with an overall ICC of 0.99 for the flexion movements and 0.99 for the scaption movements. ConclusionAlthough the VR system demonstrated excellent reliability, and high ICC’s for concurrent validity, the large range between the lower and upper 95% CI limits suggests it lacks measurement precision. This suggests VR, as used in this study, should not be used interchangeably with other measurement tools. Contribution of the paper•Virtual reality is a relatively new technology that is being increasingly adopted in clinical practice including the assessment and treatment of people with shoulder pain.•Virtual reality can support the growing demand for improved efficacy and efficiency of healthcare delivery by enabling physiotherapy assessment and treatment of patients via tele-health services.•The VR system (hardwear and software) tested in this study demonstrated excellent reliability and excellent concurrent validity, however, the wide limits of agreement associated with the VR system suggest that the current VR system should not be used interchangeably with digital inclinometry.

Shoulder Range of Motion Measurement Using Inertial Measurement Unit—Validation with a Robot Arm

The invention of inertial measurement units allowed the construction of sensors suitable for human motion tracking that are more affordable than expensive optical motion capture systems, but there are a few factors influencing their accuracy, such as the calibration methods and the fusion algorithms used to translate sensor readings into angles. The main purpose of this study was to test the accuracy of a single RSQ Motion sensor in comparison to a highly precise industrial robot. The secondary objectives were to test how the type of sensor calibration affects its accuracy and whether the time and magnitude of the tested angle have an impact on the sensor’s accuracy. We performed sensor tests for nine repetitions of nine static angles made by the robot arm in eleven series. The chosen robot movements mimicked shoulder movements in a range of motion test (flexion, abduction, and rotation). The RSQ Motion sensor appeared to be very accurate, with a root-mean-square error below 0.15°. Furthermore, we found a moderate-to-strong correlation between the sensor error and the magnitude of the measured angle but only for the sensor calibrated with the gyroscope and accelerometer readings. Although the high accuracy of the RSQ Motion sensors was demonstrated in this paper, they require further study on human subjects and comparisons to the other devices known as the gold standards in orthopedics.

Validity and reliability of the single camera marker less motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis.

The range-of motion (ROM) is an essential component of joint mobility. Shoulder ROM measurement has been problematic due to its complexity. A marker less motion capture system can be a potential alternative for upper limb assessment. Currently, there is no systematic review to evaluate the validity of a marker less motion capture system for assessing shoulder ROM. This study aims to describe methods to evaluate the reliability and validity of a single camera marker less motion capture system that uses an RGB-depth sensor to measure shoulder ROM. Studies that measured shoulder ROM with a single camera marker less motion capture system using the RGB-depth sensor and assessed the intra- and/or inter-rater reliability, and/or validity of the device will be included. The search of electronic databases, such as MEDLINE, EMBASE, Cochran library, Cumulative Index to Nursing, and Allied Health Literature via EBSCO, IEEE Xplore, China National Knowledge Infrastructure, KoreaMed, Korean studies Information Service System, and Research Information Sharing Services will be performed for all relevant articles from inception to December 2022. Two authors will independently perform quality assessments using the Consensus-based Standards for the selection of health Measurement Instruments checklist for reliability, measurement error of outcome measurement instrument, and criterion validity. The primary outcomes will be the intra- and inter-rater reliability and validity of the markerless motion capture system measuring shoulder flexion, extension, abduction, adduction, internal rotation, or external rotation. A subgroup analysis would be performed if there are sufficient data to pool to identify an influencing factor in the measurement of ROM using a marker less motion capture system. These findings will present tools to utilize and evaluate single camera motion capture systems for the medical use for clinicians and healthcare experts and can aid in further clinical research using such a system for different movements and other joints.

Validation of the shoulder range of motion software for measurement of shoulder ranges of motion in consultation: coupling a red/green/blue-depth video camera to artificial intelligence.

Clinical evaluation of the shoulder range of motion (RoM) may vary significantly depending on the surgeon. We aim to validate an automatic shoulder RoM measurement system associating image acquisition by an RGB-D (red/green/blue-depth) video camera to an artificial intelligence (AI) algorithm. Thirty healthy volunteers were included. A 3D RGB-D sensor that simultaneously generated a colour image and a depth map was used. Then, an open-access convolutional neural network algorithm that was programmed for shoulder recognition provided a 3D motion measure. Each volunteer adopted a randomized position successively. For each position, two observers made a visual (EyeREF) and goniometric measurement (GonioREF), blind to the automated software which was implemented by an orthopaedic surgeon. We evaluated the inter-tester intra-class correlation (ICC) between observers and the concordance correlation coefficient (CCC) between the three methods. For manual evaluations EyeREF and GonioREF, ICC remained constantly excellent for the widest motions in the vertical plane (i.e., abduction and flexion). It was very good for ER1 and IR2 and fairly good for adduction, extension, and ER2. Differences between the measurements' means of EyeREF and shoulder RoM was significant for all motions. Compared to GonioREF, shoulder RoM provided similar results for abduction, adduction, and flexion and EyeREF provided similar results for adduction, ER1, and ER2. The three methods showed an overall good to excellent CCC. The mean bias between the three methods remained under 10° and clinically acceptable. RGB-D/AI combination is reliable in measuring shoulder RoM in consultation, compared to classic goniometry and visual observation.

Shoulder Range of Motion Measurements and Baseball Elbow Injuries: Ambiguity in Scientific Models, Approach, and Execution is Hurting Overhead Athlete Health

Elbow injuries are a significant and increasing issue in baseball. Elbow injuries account for 16% of all injuries sustained at the professional level and collegiate level. Because of the continued rise in injury rates, loss of performance value, and medical burden, sports medicine clinicians have attempted to research the causes underlying this injury epidemic in an attempt to help mitigate baseball elbow injuries. Shoulder range of motion (ROM) is the most researched clinical metric related to elbow injuries in baseball and has the greatest consensus as a viable prognostic factor specifically for medial elbow injury. Shoulder ROM is easy to measure, can be modified through stretching and manual therapy interventions, and can be easily assessed during preseason screening throughout all baseball levels. Despite a large number of studies and the widespread use of shoulder ROM in injury risk screening, current findings are unclear as to whether there is a true cause-effect relation with baseball elbow injuries. We argue that the conflicting findings revolving around the value of shoulder ROM measurements associated with baseball elbow injuries are the result of 4 gaps in the research approaches implemented to date: ambiguous research questions, mixed study populations, statistical models used, and shoulder ROM methodology. Specifically, there is a mismatch of methods, statistical models, and conclusions such as (1) investigating the association (i.e., correlation) between shoulder ROM measurements and injury and (2) investigating the cause-effect relation of shoulder ROM to baseball injuries. The purpose of this article is to detail the required scientific steps to evaluate whether preseason shoulder ROM is a potential causal factor for pitching elbow injury. We also provide recommendations to allow for future causal inferences to be made between shoulder ROM and elbow injury. This information will ultimately assist in informing clinical models of care and decision making for baseball throwers.

Poster 118: The Accuracy of a Smartphone App in Measuring Shoulder Range of Motion

Objectives:Measuring shoulder movements, specifically range of motion (ROM) of the shoulder joint is an important clinical parameter related to glenohumeral disorders and for functional evaluation of the shoulder before and after treatment, which may include surgery. Currently shoulder ROM measurements are performed in an office setting by the provider or alternatively may be performed by a physical therapist, traditionally with the use of a goniometer. The purpose of this study was to determine the accuracy of a smartphone-based digital ROM tool in assessing active shoulder ROM, compared to traditional goniometry measured by a physical therapist in an office setting.Methods:A prospective, non-blinded study was conducted at a single institution (University of St. Augustine, Austin< TX). Thirty (30) eligible and consenting participants with normal shoulder ROM were recruited. Each participant self-assessed their active shoulder ROM using the smartphone App. A physical therapist concurrently measured each participant’s active shoulder ROM using a hand-held goniometer. This concurrent data collection was designed for greater efficiency and minimal bias. Forward flexion (FF), abduction (AB) external rotation (ER), internal rotation (IR) and extension (EX) were measured. Agreement between the smartphone App and goniometric measurements, as well as intra-rater reliability (precision) was assessed using intraclass correlation coefficients (ICC) and Limits of Agreement analysis. Each measurement was performed in duplicate to assess precision. Statistical analysis was performed using R (https://www.r-project.org/)Results:Data were analyzed for 60 shoulders (30 right, 30 left) from 30 participants (mean age was 31.4, 92% female.) The inter-rater reliability between the two methods was excellent for all movements, with ICC ranging from 0.9 to 0.96. For all movements except AB, the mean difference in the measurements between PT and App was less than 1.3 degrees, and the difference was within 6 degrees of the mean differences for 80% of the participants. For AB, the mean difference was 2.08, and the difference was within 15 degrees of the mean difference for 80% of the participants. The intra-rater reliability or precision ranged from good to excellent. For all movements except IR, both PT and App showed excellent intra-rater reliability (ICCs > 0.90). For IR, good intra-rater reliability (ICCs >= 0.75) was observed.Conclusions:These data provide evidence that the smartphone App can be a reliable and valid tool for measuring shoulder ROM. Smartphone Apps enable self-assessment of ROM by patients at the convenience of their home and allow for remote monitoring at zero visit cost to the patient.

Differences in Glenohumeral Range of Motion and Humeral Torsion Between Right-Handed and Left-Handed Professional Baseball Pitchers

Background: Elite pitchers have demonstrated significant differences in glenohumeral range of motion and humeral torsion compared with the nonthrowing population. Furthermore, abnormal shoulder range of motion measurements have been associated with different injury risks and challenges in assessing rehabilitation progress. Variations in range of motion and torsion due to handedness in the asymptomatic professional population have yet to be investigated in the literature. Hypothesis: No significant differences in glenohumeral range of motion and humeral torsion would exist between asymptomatic right- and left-handed professional pitchers. Study Design: Cross-sectional study; Level of evidence, 3. Methods: 217 Major League Baseball pitchers from a single organization were evaluated over a 7-year period between 2013 and 2020. Range of motion was measured with a standard goniometer. Ultrasound scanning was used to determine neutral position of the shoulder, and the degree of humeral torsion was measured with a goniometer. Results: Right-handed pitchers demonstrated significantly greater values of glenohumeral external rotation (118.5° vs 112.7°; P < .001) in their throwing arms compared with their left-handed counterparts. Right-handed pitchers also showed greater values of glenohumeral internal rotation deficit (13.9° vs 4.8°; P < .001) and side-to-side differences in humeral retrotorsion (−23.1° vs −2.2°; P < .001). Left-handed pitchers demonstrated significantly greater flexion deficits in the throwing arm compared with their right-handed counterparts (7.5° vs 0.0°; P < .001). Conclusion: In the throwing arm, right-handed pitchers demonstrated significantly greater measures of external rotation, glenohumeral internal rotation deficit, and humeral retrotorsion compared with left-handed counterparts. Furthermore, right-handed pitchers demonstrated a significant side-to-side difference in retrotorsion, whereas left-handed pitchers did not. However, left-handed pitchers demonstrated a side-to-side shoulder flexion deficit that was not present in the cohort of right-handed pitchers. The correlation between humeral retrotorsion and increased external rotation indicates that osseous adaptations may play a role in range of motion differences associated with handedness. Additionally, these findings may explain observed differences in several throwing metrics between right- and left-handed pitchers. Knowledge of these differences can inform rehabilitation programs and shoulder maintenance regimens.

Paper 09: Differences in Glenohumeral Range of Motion and Humeral Torsion Between Right-Handed and Left-Handed Major League Baseball Pitchers.

Objectives:Substantial differences in throwing metrics, like velocity, spin rate and pitcher break, have been observed between left and right-handed pitchers. Elite pitchers have demonstrated significant changes in glenohumeral range of motion and humeral torsion compared to the normal population. Differences in these anatomical parameters between left and right-handed pitchers may explain these performance trends. Furthermore, changes in shoulder range of motion measurements have been associated with different injury risks and challenges in assessing rehabilitation progress. This study seeks to determine if differences in glenohumeral range of motion and humeral torsion exist between left-handed and right-handed pitchers.Methods:217 MLB pitchers from a single organization were evaluated over a 7-year period from 2013-2020. Range of motion was evaluated by three trained examiners using a Standard Goniometer. Ultrasound scanning was used to determine neutral position of the shoulder and the degree of humeral torsion was measured with a goniometer. The mean and standard deviation were assessed for normality using Shapiro Wilk. Differences between right and left-handed pitchers were assessed using one-way ANOVA. Arm effects were assessed using paired samples t-tests.Results:Right-handed pitchers showed, on average, 13.9 degrees more shoulder external rotation range in their dominant arm compared with their non-dominant arm, whereas left-handers averaged only 2.2 degrees. RHPs showed greater asymmetries in shoulder internal rotation range (13.9 vs 4.8 degrees) and humeral torsion (-23.1 vs -2.2 degrees). Left-handed pitchers showing significantly greater range of non-dominant shoulder flexion (165.8 vs 160.7 degrees) leading to greater flexion deficits in the dominant arm compared to their right-handed counterparts, (7.5 vs 0.0 degrees).Conclusions:Right-handed pitchers demonstrate significantly greater measures of external rotation, humeral retrotorsion, and shoulder flexion compared to left-handed counterparts. The correlation between humeral retrotorsion and increased external rotation indicate that osseus adaptations are a major contributor to range of motion differences associated with handedness. Additionally, these findings may explain observed differences in several throwing metrics between right and left-handed pitchers. Furthermore, knowledge of these differences can inform rehabilitations programs and shoulder maintenance regimens.Table 1.Range of Motion Variables for Right Handed (RHP) and Left Handed (LHP) Professional Baseball Pitchers.*Table 2.Average Velocity in Miles per Hour by Pitch Type and Pitcher Handedness, 2017-2020.a Figure 1.Scatter chart showing the correlation between dominant-arm retrotorsion and external rotation gain in the throwing arm of all pitcher’s studied. As retrotorsion increased, the degree of external rotation also increased. Right-handed pitchers were more likely to have higher degrees of both retrotorsion and external rotation gain. Negative values indicate retrotorsion.Figure 2.Box and whisker plot showing the difference in dominant-arm retrotorsion in the dominant throwing arm in left and right-handed pitchers. Dominant-arm| retrotorsion is the difference in torsion between the dominant throwing and non-throwing arm. Right-handed pitchers demonstrated significantly more retrotorsion (negative torsion) in the dominant throwing arm compared to left-handed pitchers.

Validity and reliability of a smartphone application for self-measurement of active shoulder range of motion in a standing position among healthy adults.

BackgroundShoulder range of motion (ROM) is one of the most important indicators of shoulder disease severity, function, and physical assessment. A universal goniometer (UG) was used as a gold standard for ROM measurement. Recently, smartphone applications for ROM measurement have attracted attention as alternatives to UG. This study aimed to investigate the validity and reliability of active ROM measurements using a smartphone application goniometer that can be used by patients in a standing position.MethodsThe dominant shoulders of 19 healthy participants were included in the study. The 2 observers who were physical therapists used the UG, whereas the participants used a smartphone application goniometer to measure the shoulder ROM. A recorder, who is a physical therapist independent of the observer and participant, read and recorded the shoulder ROM measurements. The order of the measurement movements and devices used was randomized.ResultsAgreement between the smartphone application goniometer and UG (percentage of participants for whom the difference between the UG and application measurements was within ±20% of the mean of the goniometer and application measurements) ranged between 42% and 100%. The intraclass correlation coefficient values (3, 1) for the agreement between the smartphone application goniometer and UG was between 0.72 and 0.97, showing significant and approximately perfect correlations.ConclusionHigh agreement with the UG showed excellent validity, indicating that the smartphone application goniometer used by the participants in the standing position is an excellent method and instrument. The results suggest a simpler, more reliable, practical, and inexpensive method for measuring ROM required for telerehabilitation.

Validation of an on-screen application-based measurement of shoulder range of motion over telehealth medium.

Shoulder range-of-motion (ROM) assessment is vital for the follow-up evaluation of operated patients and for the outcome-based research studies. The aim of this study was to investigate the accuracy and reliability of a remote on-screen application (app)-based method of shoulder ROM measurement through a telehealth medium. A consultant shoulder surgeon, a board-certified orthopedic resident, and a graduate medical doctor served as the examiners. The cohort consisted of 24 healthy volunteers and 16 symptomatic patients with expected shoulder ROM deficits. Shoulder ROM was first examined physically using a goniometer in the clinic and then over Zoom remote conferencing using the protractor extension app of the Chrome browser. Instrument validity was examined by comparing the goniometer method with the protractor app-based method of the expert shoulder consultant using Bland-Altman analysis. It showed only minor mean differences between the healthy volunteers and the patients in elevation (2.0° and 5.0°, respectively), abduction (2.0° and 3.0°, respectively), external rotation with the elbow adducted (1.9° and 0.2°, respectively), external rotation with the elbow abducted at 90° (0.4° and 4°, respectively), and internal rotation with elbow abducted at 90° (2.3° and 1.2°, respectively), with limits of agreement that were below the well-established minimal clinically important difference values. The intraclass correlation coefficient (ICC) values varied between 0.83 and 0.96 for the volunteers and between 0.90 and 0.98 for the patients, indicating excellent correlation between the 2 methods. The interobserver reliability between 2 examiners for the protractor app-based method as evaluated by ICC scores was excellent; it ranged between 0.86 and 0.98 for the volunteers and between 0.88 and 0.99 for the patients. Comparison of the protractor app-based method with the gold-standard goniometer method for the resident and the graduate doctor showed excellent ICC values. A protractor app-based method of measuring shoulder ROM over a telehealth medium is accurate and reliable compared with a clinical goniometer method. This validated method can be used during remote telehealth consultation with significant benefits of saving patients travel and time during the COVID-19 (coronavirus disease 2019) pandemic and even later.

The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.

Advancements in motion sensing technology can potentially allow clinicians to make more accurate range-of-motion (ROM) measurements and informed decisions regarding patient management. The aim of this study was to systematically review and appraise the literature on the reliability of the Kinect, inertial sensors, smartphone applications and digital inclinometers/goniometers to measure shoulder ROM. Eleven databases were screened (MEDLINE, EMBASE, EMCARE, CINAHL, SPORTSDiscus, Compendex, IEEE Xplore, Web of Science, Proquest Science and Technology, Scopus, and PubMed). The methodological quality of the studies was assessed using the consensus-based standards for the selection of health Measurement Instruments (COSMIN) checklist. Reliability assessment used intra-class correlation coefficients (ICCs) and the criteria from Swinkels et al. (2005). Thirty-two studies were included. A total of 24 studies scored “adequate” and 2 scored “very good” for the reliability standards. Only one study scored “very good” and just over half of the studies (18/32) scored “adequate” for the measurement error standards. Good intra-rater reliability (ICC > 0.85) and inter-rater reliability (ICC > 0.80) was demonstrated with the Kinect, smartphone applications and digital inclinometers. Overall, the Kinect and ambulatory sensor-based human motion tracking devices demonstrate moderate–good levels of intra- and inter-rater reliability to measure shoulder ROM. Future reliability studies should focus on improving study design with larger sample sizes and recommended time intervals between repeated measurements.

Assessment of Shoulder Range of Motion Using a Wearable Inertial Sensor Network

Diagnosis and progress monitoring of frozen shoulder rely on correct measurement of active and passive range of motion (ROM) of shoulder. This paper studied the feasibility of a wearable inertial sensor network (WISN) and its associated shoulder ROM estimation algorithm for shoulder ROM assessment. The WISN composed of three inertial modules were placed on the trunk, upper arm, and forearm of human for assessment of shoulder ROM in real time. Each inertial module consists of an ARM-based 32-bit microcontroller, a triaxial accelerometer, a triaxial gyroscope, a triaxial magnetometer, and a controller area network (CAN) transceiver. The measured accelerations, angular velocities, and magnetic signals generated by the human shoulder movements are transmitted to a personal computer via a Bluetooth wireless transmission module. The proposed shoulder ROM estimation algorithm includes the procedures of data collection, signal preprocessing, quaternion-based orientation estimation, and shoulder joint compensation. In order to evaluate shoulder ROM accurately, accelerations, angular velocities, and magnetic signals are integrated into a quaternion-based complementary nonlinear filter for minimizing the cumulative errors caused by the drift of the inertial sensors. Experimental results demonstrate that the WISN with the designed shoulder ROM estimation algorithm, compared to an optical motion analysis system (Vicon), have the average root mean square (RMS) angle errors ranging from 2.53° to 3.56°. In addition, the intra-tester reliability for each shoulder ROM measurement is excellent. The proposed WISN is a valid and reliable tool and can be used anywhere without any external reference device for convenient evaluation of shoulder ROM.

Revisiting the Beighton Criteria: Does Ligamentous Laxity Testing Correlate With Shoulder Range of Motion Norms in a North American, Pediatric Population?

Ligamentous laxity testing using the Beighton score is frequently used as part of the pediatric shoulder examination. However, the relationship between generalized ligamentous laxity (GLL) and shoulder range of motion (ROM) remains unexamined in children, and normative data for these clinical tests have not been well established. In this study, we establish normative data for shoulder range of motion and GLL in a healthy, diverse pediatric population and investigate whether Beighton testing correlates with shoulder ROM in children. Healthy subjects age 2 to 18 years with isolated lower extremity complaints were recruited. Passive shoulder ROM measurements for forward flexion (FF), abduction (ABD), internal rotation (IR), external rotation (ER), and extension (EXT) were obtained using a long-armed goniometer. The Beighton score was obtained, with a positive test defined as ≥5. Descriptive statistics were used to stratify data on the basis of age and sex. Interclass correlation coefficients (ICCs) were calculated. Spearman's r was calculated to determine correlations between the Beighton score and shoulder ROM. Predictive indices of a positive Beighton test to identify patients with high shoulder mobility (ROM in the top 15 percentile, or 1 SD above the mean) were calculated. A total of 202 subjects were enrolled and evaluated. Passive ROM norms by age and sex were determined. Intraclass correlation coefficients for all shoulder ROM measurements were substantial to excellent. Female individuals had greater ROM than age-matched male individuals, but this trend was largely statistically insignificant. Pearson's correlation between age and shoulder ROM was significant for FF, ABD, EXT, and ER (r=-0.52 to -0.20, P<0.001). Based on a Beighton score of ≥5, the prevalence of GLL was 10% in male and 15% in female individuals. Spearman's correlation between Beighton score and shoulder ROM was significant for 3 of 5 ROM measurements: FF, ER, and EXT (r=0.30 to 0.39, P<0.001). Normative pediatric shoulder ROM and joint laxity data have been established in a healthy, diverse population of children. Beighton testing exhibits only a weak to moderate correlation, despite statistical significance, with shoulder ROM and is poorly predictive for high ROM in children. Level I- Diagnostic.

Comparing the Immediate Effects of a Total Motion Release Warm-up and a Dynamic Warm-up Protocol on the Dominant Shoulder in Baseball Athletes.

Gamma, SC, Baker, R, May, J, Seegmiller, JG, Nasypany, A, and Iorio, SM. Comparing the immediate effects of a total motion release warm-up and a dynamic warm-up protocol on the dominant shoulder in baseball athletes. J Strength Cond Res 34(5): 1362-1368, 2020-A decrease in total range of motion (ROM) of the dominant shoulder may predispose baseball athletes to increased shoulder injury risk; the most effective technique for improving ROM is unknown. The purpose of this study was to compare the immediate effects of Total Motion Release (TMR) to a generic dynamic warm-up program in baseball athletes. Baseball athletes (n = 20) were randomly assigned to an intervention group: TMR group (TMRG; n = 10) or traditional warm-up group (TWG; n = 10). Shoulder ROM measurements were recorded for internal rotation (IR) and external rotation (ER), the intervention was applied, and postmeasurements were recorded. Each group then received the other intervention and postmeasurements were again recorded. The time main effect (p ≤ 0.001) and the time × group interaction effect were significant (p ≤ 0.001) for IR and ER. Post hoc analysis revealed that TMR produced significant increases in mean IR (p ≤ 0.005, d = 1.52) and ER (p ≤ 0.018, d = 1.22) of the dominant shoulder initially. When groups crossed-over, the TMRG experienced a decrease in mean IR and ER after the dynamic warm-up, whereas the TWG experienced a significant increase in mean IR (p ≤ 0.001, d = 3.08) and ER (p ≤ 0.001, d = 2.56) after TMR intervention. Total Motion Release increased IR and ER of the dominant shoulder more than a dynamic warm-up. Dynamic warm-up after TMR also resulted in decreased IR and ER; however, TMR after dynamic warm-up significantly improved IR and ER. Based on these results, TMR is more effective than a generic dynamic warm-up for improving dominant shoulder ROM in baseball players.

RELIABILITY AND VALIDITY OF THE HALO DIGITAL GONIOMETER FOR SHOULDER RANGE OF MOTION IN HEALTHY SUBJECTS

Range of motion (ROM) of the shoulder is an integral component of assessment of musculoskeletal shoulder impairments. ROM is typically measured using a universal goniometer (UG). The UG has demonstrated good intra and inter-rater reliability for measuring shoulder ROM, although limitations exist. In recent years, alternative measurement devices such as smartphone applications and digital goniometers have been introduced, potentially addressing some of the shortcomings of the UG. Limited research is available on the validity and reliability of these alternative devices, including the laser-guided digital goniometer, in measuring shoulder ROM.Purpose: The purpose of this study was to investigate the intra- and inter-rater reliability and concurrent validity of a laser-guided digital goniometer (HALO) for measuring active shoulder ROM. A convenience sample of healthy volunteers was recruited. To be eligible, participants were required to be between 18 and 75 years of age and able to actively move at least one shoulder into 90 ° of glenohumeral abduction. Self-report of previous significant shoulder injury; previous shoulder surgery; current bilateral shoulder pain; current neck or upper back pain; or referred pain into the upper extremity were exclusion criteria. Active shoulder flexion, abduction, internal rotation, and external rotation were measured for each shoulder. Two evaluators measured each motion twice with each device (HALO and the UG) per shoulder. The intra-class correlation coefficient (ICC) for reliability and validity/agreement between devices was calculated using a two-way mixed model with a 95% confidence interval. Data were analyzed for 75 shoulders from 41 participants (seven participants had only one shoulder evaluated). Intra-rater reliability ICCs are between 0.82 and 0.91 for the HALO, and 0.83 to 0.95 for the UG. Inter-rater reliability for the HALO was 0.89 to 0.98 and for the UG was 0.90 to 0.98. The ICCs for agreement, comparing the HALO digital goniometer to the UG ranged from 0.79 to 0.99. This study provides evidence that the HALO digital goniometer can be a reliable and valid tool for measuring shoulder ROM in individuals with healthy shoulders. However, the two devices should not be used interchangeably to evaluate a single individual's change over time for any motion. Diagnostic Study (clinical measurement), Level 2b.