journal article·2022-03-27Open access

Comparison of the Wrist Range of Motion Measurement between Inertial Measurement Unit Glove, Smartphone Device and Standard Goniometer

Decho Surangsrirat, Tapiya Bualuangngam, Panyawut Sri-iesaranusorn, Attawit Chaiyaroj, Chatchai Buekban, Chusak Thanawattano, Sompob Poopitaya

Applied Sciences· Volume 12· Issue 7

Abstract

A goniometer is currently the gold standard for range of motion (ROM) measurements. However, trained staff are required for accurate measurements. The objective of this study is to assess an agreement between the proposed standalone inertial measurement unit glove, smartphone device, and a standard goniometer for the measurement of wrist range of motion. Twenty participants performed wrist flexion, wrist extension, pronation, supination, ulnar deviation, and radial deviation movements with three operators measuring the movements with three devices. Average measurements from the three approaches had within 1.5 degrees of difference from each other for all of the movements. Both the proposed IMU glove and smartphone showed a strong correlation to the goniometer in most of the movements, with an intraclass correlation coefficient (ICC) between 0.914 and 0.961, and between 0.929 and 0.951, respectively. Only wrist supination using the smartphone has an ICC of 0.828. In comparison with a standard goniometer, a smartphone device is a more convenient method and readily available. The proposed IMU glove requires additional hardware but is easier to use and is more suitable for measuring and monitoring dynamic motion than a smartphone or a goniometer. These patient-friendly approaches could be used by the patients at home and provide remote quantitative monitoring during the wrist rehabilitation process.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Scoliosis diagnosis and treatment · Orthopedic Surgery and Rehabilitation · Cerebral Palsy and Movement Disorders

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Assistive Technology and Medical Devices Research Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand

Orthopedic Surgery, Phramongkutklao College of Medicine, Bangkok 10400, Thailand

Information Science, Nara Institute of Science and Technology, Nara 630-0101, Japan

School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1211, Japan

Funding

National Science and Technology Development Agency

References (23)

Show source-provided references
1. Alexandra, V.F. (2021). Joint Stiffness—Bone, Joint, and Muscle Disorders—MSD Manual Consumer Version, Merck Manuals.
2. Copeland, S.A., Gschwend, N., Landi, A., and Saffar, P. (1997). Joint Stiffness of the Upper Limb, CRC Press.
3. Current interventions in the management of knee osteoarthritis10.4103/0975-7406.106561 ↗
4. Physical Therapy Treatment Effectiveness for Osteoarthritis of the Knee: A Randomized Comparison of Supervised Clinical Exercise and Manual Therapy Procedures Versus a Home Exercise Program10.1093/ptj/85.12.1301 ↗
5. Knee Extension and Stiffness in Osteoarthritic and Normal Knees: A Videofluoroscopic Analysis of the Effect of a Single Session of Manual Therapy10.2519/jospt.2014.4710 ↗
6. Development of a Two-Axis Robotic Platform for the Characterization of Two-Dimensional Ankle Mechanics10.1109/TMECH.2019.2892472 ↗
7. Range of joint motion and disability in patients with osteoarthritis of the knee or hip10.1093/rheumatology/39.9.955 ↗
8. Magee, D.J. (2006). Orthopedic Physical Assessment, Saunders. [4th ed.].
9. Evaluating change in clinical status: Reliability and measures of agreement for the assessment of glenohumeral range of motion
10. Three methods for measuring range of motion while wearing protective clothing: A comparative study10.1016/0169-8141(93)90024-8 ↗
11. A Technique for Graphical Recording of Range of Motion Using an Improvised Paper Goniometer10.1016/j.jht.2011.05.003 ↗
12. Macionis, V. (2013). Reliability of the standard goniometry and diagrammatic recording of finger joint angles: A comparative study with healthy subjects and non-professional raters. BMC Musculoskelet. Disord., 14.10.1186/1471-2474-14-17 ↗
13. A study on the measurement of wrist motion range using the iPhone 4 gyroscope application10.1097/SAP.0b013e31826eabfe ↗
14. Intra- and inter-examiner reliability of goniometer and inclinometer use in Craig’s test10.1589/jpts.27.1141 ↗
15. Musculoskeletal examination—Range of motion
16. The reliability and concurrent validity of measurements used to quantify lumbar spine mobility: An analysis of an iphone® application and gravity based inclinometry
17. An, Q., Ishikawa, Y., Nakagawa, J., Kuroda, A., Oka, H., Yamakawa, H., Yamashita, A., and Asama, H. (2012, January 9–13). Evaluation of wearable gyroscope and accelerometer sensor (PocketIMU2) during walking and sit-to-stand motions. Proceedings of the 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, Paris, France.10.1109/ROMAN.2012.6343838 ↗
18. How Wearable Sensors Can Support Parkinson’s Disease Diagnosis and Treatment: A Systematic Review10.3389/fnins.2017.00555 ↗
19. Stroke therapy using an interactive game with accelerometer and gyroscope sensor device10.1088/1757-899X/1003/1/012157 ↗
20. Self-measured wrist range of motion by wrist-injured and wrist-healthy study participants using a built-in iPhone feature as compared with a universal goniometer10.1016/j.jht.2018.03.004 ↗
21. Reliability assessment of measuring active wrist pronation and supination range of motion with a smartphone10.1016/j.hansur.2017.06.005 ↗
22. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research10.1016/j.jcm.2016.02.012 ↗
23. Liljequist, D., Elfving, B., and Roaldsen, K.S. (2019). Intraclass correlation—A discussion and demonstration of basic features. PLoS ONE, 14.10.1371/journal.pone.0219854 ↗