scholarly journals The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7238
Author(s):  
Peter Beshara ◽  
Judy F. Chen ◽  
Andrew C. Read ◽  
Pierre Lagadec ◽  
Tian Wang ◽  
...  
Keyword(s):  
Construct Validity ◽  
Range Of Motion ◽  
Inertial Sensors ◽  
Objective Assessment ◽  
Reliability And Validity ◽  
Human Movement ◽  
Microsoft Kinect ◽  
Rater Reliability ◽  
Shoulder Range Of Motion ◽  
Shoulder Flexion

Background: Objective assessment of shoulder joint active range of motion (AROM) is critical to monitor patient progress after conservative or surgical intervention. Advancements in miniature devices have led researchers to validate inertial sensors to capture human movement. This study investigated the construct validity as well as intra- and inter-rater reliability of active shoulder mobility measurements using a coupled system of inertial sensors and the Microsoft Kinect (HumanTrak). Methods: 50 healthy participants with no history of shoulder pathology were tested bilaterally for fixed and free ROM: (1) shoulder flexion, and (2) abduction using HumanTrak and goniometry. The repeat testing of the standardised protocol was completed after seven days by two physiotherapists. Results: All HumanTrak shoulder movements demonstrated adequate reliability (intra-class correlation (ICC) ≥ 0.70). HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.93 and 0.85) than goniometry (ICCs: 0.75 and 0.53) for measuring free shoulder flexion and abduction AROM, respectively. Similarly, HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.81 and 0.94) than goniometry (ICCs: 0.70 and 0.93) for fixed flexion and abduction AROM, respectively. Construct validity between HumanTrak and goniometry was adequate except for free abduction. The differences between raters were predominately acceptable and below ±10°. Conclusions: These results indicated that the HumanTrak system is an objective, valid and reliable way to assess and track shoulder ROM.

scholarly journals 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

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8186
Author(s):  
Peter Beshara ◽  
David B. Anderson ◽  
Matthew Pelletier ◽  
William R. Walsh
Keyword(s):  
Range Of Motion ◽  
Motion Tracking ◽  
Human Motion ◽  
Microsoft Kinect ◽  
Smartphone Applications ◽  
Health Measurement ◽  
Rater Reliability ◽  
Shoulder Range Of Motion ◽  
Cosmin Checklist ◽  
Tracking Devices

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.

Adaptation and Validation of a Nutrition Environment Measures Survey for University Grab-and-Go Establishments

2016 ◽  
Vol 77 (1) ◽  
pp. 17-24 ◽  
Author(s):  
Brian K.C. Lo ◽  
Leia Minaker ◽  
Alicia N.T. Chan ◽  
Jessica Hrgetic ◽  
Catherine L. Mah
Keyword(s):  
Construct Validity ◽  
Reliability And Validity ◽  
Correlation Coefficients ◽  
Comparison Method ◽  
Nutrition Information ◽  
Perfect Agreement ◽  
Cross Sectional ◽  
Rater Reliability ◽  
University Of Toronto ◽  
Nutrition Environment

Purpose: To adapt and validate a survey instrument to assess the nutrition environment of grab-and-go establishments at a university campus. Methods: A version of the Nutrition Environment Measures Survey for grab-and-go establishments (NEMS-GG) was adapted from existing NEMS instruments and tested for reliability and validity through a cross-sectional assessment of the grab-and-go establishments at the University of Toronto. Product availability, price, and presence of nutrition information were evaluated. Cohen’s kappa coefficient and intra-class correlation coefficients (ICC) were assessed for inter-rater reliability, and construct validity was assessed using the known-groups comparison method (via store scores). Results: Fifteen grab-and-go establishments were assessed. Inter-rater reliability was high with an almost perfect agreement for availability (mean κ = 0.995) and store scores (ICC = 0.999). The tool demonstrated good face and construct validity. About half of the venues carried fruit and vegetables (46.7% and 53.3%, respectively). Regular and healthier entrée items were generally the same price. Healthier grains were cheaper than regular options. Six establishments displayed nutrition information. Establishments operated by the university’s Food Services consistently scored the highest across all food premise types for nutrition signage, availability, and cost of healthier options. Conclusions: Health promotion strategies are needed to address availability and variety of healthier grab-and-go options in university settings.

scholarly journals Regaining motion among patients with shoulder pathology - are all exercises equal?

2021 ◽  
pp. 175857322110671
Author(s):  
Alon Rabin ◽  
Eran Maman ◽  
Oleg Dolkart ◽  
Efi Kazum ◽  
Zvi Kozol ◽  
...  
Keyword(s):  
Pain Intensity ◽  
Range Of Motion ◽  
Motion Analysis ◽  
The Self ◽  
Flexion Angle ◽  
Shoulder Range Of Motion ◽  
Shoulder Flexion ◽  
Shoulder Disorders ◽  
Level Of Difficulty ◽  
Shoulder Range

Background Little information exists to guide the choice of exercise for regaining shoulder range of motion (ROM). The purpose of this study was to compare the maximal ROM reached, pain and difficulty associated with 4 commonly prescribed exercises. Methods Forty (9 females) patients with various shoulder disorders and a limited flexion ROM performed 4 exercises for regaining shoulder flexion ROM in a randomized order. Exercises included the self-assisted flexion, forward bow, table slide and rope-and-pulley. Participants were videotaped while performing all exercises and the maximal flexion angle reached during each exercise was recorded using Kinovea motion analysis freeware (Kinovea 0.8.15). Pain intensity and the perceived level of difficulty associated with each exercise were also recorded. Results The forward bow and table slide generated significantly greater ROM compared with the self-assisted flexion and rope-and-pulley (P ≤ 0.005). The self-assisted flexion was associated with a greater pain intensity compared with the table slide and rope-and-pulley (P = 0.002) and a greater perceived level of difficulty compared with the table slide (P = 0.006). Conclusions Due to the greater ROM allowed, and similar or even lower level of pain or difficulty, clinicians may wish to initially recommend the forward bow and table slide for regaining shoulder flexion ROM.

scholarly journals Validity and reliability of inertial sensors for elbow and wrist range of motion assessment

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9687
Author(s):  
Vanina Costa ◽  
Óscar Ramírez ◽  
Abraham Otero ◽  
Daniel Muñoz-García ◽  
Sandra Uribarri ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Inertial Sensors ◽  
High Reliability ◽  
Intraclass Correlation ◽  
Active Movement ◽  
Neutral Position ◽  
Maximum Difference ◽  
Validity And Reliability ◽  
Rater Reliability ◽  
Flexion Extension

Background Elbow and wrist chronic conditions are very common among musculoskeletal problems. These painful conditions affect muscle function, which ultimately leads to a decrease in the joint’s Range Of Motion (ROM). Due to their portability and ease of use, goniometers are still the most widespread tool for measuring ROM. Inertial sensors are emerging as a digital, low-cost and accurate alternative. However, whereas inertial sensors are commonly used in research studies, due to the lack of information about their validity and reliability, they are not widely used in the clinical practice. The goal of this study is to assess the validity and intra-inter-rater reliability of inertial sensors for measuring active ROM of the elbow and wrist. Materials and Methods Measures were taken simultaneously with inertial sensors (Werium™ system) and a universal goniometer. The process involved two physiotherapists (“rater A” and “rater B”) and an engineer responsible for the technical issues. Twenty-nine asymptomatic subjects were assessed individually in two sessions separated by 48 h. The procedure was repeated by rater A followed by rater B with random order. Three repetitions of each active movement (elbow flexion, pronation, and supination; and wrist flexion, extension, radial deviation and ulnar deviation) were executed starting from the neutral position until the ROM end-feel; that is, until ROM reached its maximum due to be stopped by the anatomy. The coefficient of determination (r2) and the Intraclass Correlation Coefficient (ICC) were calculated to assess the intra-rater and inter-rater reliability. The Standard Error of the Measurement and the Minimum Detectable Change and a Bland–Altman plots were also calculated. Results Similar ROM values when measured with both instruments were obtained for the elbow (maximum difference of 3° for all the movements) and wrist (maximum difference of 1° for all the movements). These values were within the normal range when compared to literature studies. The concurrent validity analysis for all the movements yielded ICC values ≥0.78 for the elbow and ≥0.95 for the wrist. Concerning reliability, the ICC values denoted a high reliability of inertial sensors for all the different movements. In the case of the elbow, intra-rater and inter-rater reliability ICC values range from 0.83 to 0.96 and from 0.94 to 0.97, respectively. Intra-rater analysis of the wrist yielded ICC values between 0.81 and 0.93, while the ICC values for the inter-rater analysis range from 0.93 to 0.99. Conclusions Inertial sensors are a valid and reliable tool for measuring elbow and wrist active ROM. Particularly noteworthy is their high inter-rater reliability, often questioned in measurement tools. The lowest reliability is observed in elbow prono-supination, probably due to skin artifacts. Based on these results and their advantages, inertial sensors can be considered a valid assessment tool for wrist and elbow ROM.

scholarly journals Assessment of Shoulder Range of Motion Using a Wireless Inertial Motion Capture Device—A Validation Study

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1781 ◽  
Author(s):  
Rigoni ◽  
Gill ◽  
Babazadeh ◽  
Elsewaisy ◽  
Gillies ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Electronic Device ◽  
External Rotation ◽  
Secondary Analysis ◽  
Correlation Coefficients ◽  
Preliminary Evidence ◽  
Rater Reliability ◽  
Shoulder Range Of Motion ◽  
Technological Advances ◽  
Shoulder Range

(1) Background: Measuring joint range of motion has traditionally occurred with a universal goniometer or expensive laboratory based kinematic analysis systems. Technological advances in wearable inertial measurement units (IMU) enables limb motion to be measured with a small portable electronic device. This paper aims to validate an IMU, the ‘Biokin’, for measuring shoulder range of motion in healthy adults; (2) Methods: Thirty participants completed four shoulder movements (forward flexion, abduction, and internal and external rotation) on each shoulder. Each movement was assessed with a goniometer and the IMU by two testers independently. The extent of agreement between each tester’s goniometer and IMU measurements was assessed with intra-class correlation coefficients (ICC) and Bland-Altman 95% limits of agreement (LOA). Secondary analysis compared agreement between tester’s goniometer or IMU measurements (inter-rater reliability) using ICC’s and LOA; (3) Results: Goniometer and IMU measurements for all movements showed high levels of agreement when taken by the same tester; ICCs > 0.90 and LOAs < ±5 degrees. Inter-rater reliability was lower; ICCs ranged between 0.71 to 0.89 and LOAs were outside a prior defined acceptable LOAs (i.e., > ±5 degrees); (4) Conclusions: The current study provides preliminary evidence of the concurrent validity of the Biokin IMU for assessing shoulder movements, but only when a single tester took measurements. Further testing of the Biokin’s psychometric properties is required before it can be confidently used in routine clinical practice and research settings.

scholarly journals Optimising the Validity of Shoulder Range of Motion Evaluation: A Comparative Study

2020 ◽  
Vol 11 (4Sup1) ◽  
pp. 101-112
Author(s):  
Alexandra-Camelia Gliga ◽  
◽  
Nicolae Neagu ◽  
Dan-Alexandru Szabo ◽  
◽  
...  
Keyword(s):  
Range Of Motion ◽  
Human Movement ◽  
Assessment Process ◽  
Statistical Parameters ◽  
Assessment And Evaluation ◽  
Labview Software ◽  
Shoulder Range Of Motion ◽  
Instrumental Measurement ◽  
Specific Assessment ◽  
Shoulder Range

During the assessment process diachronically conceived in the initial, dynamic, and final stages, data recording is often performed by instrumental measurement using the goniometer. In Romania, the logistics equipment - hardware and software - has a very low or even absent incidence in the conceptual and applicative design of kinetic rehabilitation programmes. Some disadvantages of universal goniometry are revealed by relatively accurate measurements, given that the testing instrument may provide erroneous data when the specific rules are not followed. Moreover, the tester’s interpretation of angular values may vary; therefore, in order to objectify and validate the specific assessment and evaluation, we propose a precise angular motion measurement device called Kinesimeter, assisted by specific Labview software designed at the Human Movement Science Discipline of “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș. Our purpose was to compare the results and interpret the differences arising from the use of two specific assessment methods for the shoulder range of motion. Thus, the values recorded by two physiotherapists using the manual goniometer were compared with the values recorded with the Kinesimeter. In order to validate the results, we calculated statistical parameters such as correlation and significance. We strongly believe that the proposed hardware and software device for measuring, controlling, and analysing shoulder movements can become a modern performing tool needed by each rehabilitation institution, having a dual role - investigative and monitoring of a rehabilitation programme - both extremely important, additional to current measurements with the goniometer.

scholarly journals Reliability and validity of an iPhone®application for the measurement of lumbar spine flexion and extension range of motion

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2355 ◽  
Author(s):  
Mohammad Reza Pourahmadi ◽  
Morteza Taghipour ◽  
Elham Jannati ◽  
Mohammad Ali Mohseni-Bandpei ◽  
Ismail Ebrahimi Takamjani ◽  
...  
Keyword(s):  
Lumbar Spine ◽  
Range Of Motion ◽  
Concurrent Validity ◽  
Pearson Correlation ◽  
Medical Science ◽  
Reliability And Validity ◽  
Convenience Sample ◽  
Rater Reliability ◽  
Flexion Extension ◽  
Flexion And Extension

BackgroundMeasurement of lumbar spine range of motion (ROM) is often considered to be an essential component of lumbar spine physiotherapy and orthopedic assessment. The measurement can be carried out through various instruments such as inclinometers, goniometers, and etc. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for inclinometric functions.PurposeThe main purpose was to investigate the reliability and validity of an iPhone®app (TiltMeter©-advanced level and inclinometer) for measuring standing lumbar spine flexion–extension ROM in asymptomatic subjects.DesignA cross-sectional study was carried out.SettingThis study was conducted in a physiotherapy clinic located at School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran.SubjectsA convenience sample of 30 asymptomatic adults (15 males; 15 females; age range = 18–55 years) was recruited between August 2015 and December 2015.MethodsFollowing a 2–minute warm-up, the subjects were asked to stand in a relaxed position and their skin was marked at the T12–L1and S1–S2spinal levels. From this position, they were asked to perform maximum lumbar flexion followed by maximum lumbar extension with their knees straight. Two blinded raters each used an inclinometer and the iPhone®app to measure lumbar spine flexion–extension ROM. A third rater read the measured angles. To calculate total lumbar spine flexion–extension ROM, the measurement from S1–S2was subtracted from T12–L1. The second (2 hours later) and third (48 hours later) sessions were carried out in the same manner as the first session. All of the measurements were conducted 3 times and the mean value of 3 repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone®app. Furthermore, minimum detectable change at the 95% confidence level (MDC95) was computed as 1.96 × standard error of measurement × $\sqrt{2}$.ResultsGood to excellent intra-rater and inter-rater reliability were demonstrated for both the gravity-based inclinometer with ICC values of ≥0.84 and ≥0.77 and the iPhone®app with ICC values of ≥0.85 and ≥0.85, respectively. The MDC95ranged from 5.82°to 8.18°for the intra-rater analysis and from 7.38°to 8.66° for the inter-rater analysis. The concurrent validity for flexion and extension between the 2 instruments was 0.85 and 0.91, respectively.ConclusionsThe iPhone®app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that the iPhone®app can be used for the measurement of lumbar spine flexion–extension ROM.Level of evidenceIIb.

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