Literature DB >> 24322647

A study on the measurement of wrist motion range using the iPhone 4 gyroscope application.

Tae Seob Kim1, David Dae Hwan Park, Young Bae Lee, Dong Gil Han, Jeong Su Shim, Young Jig Lee, Peter Chan Woo Kim.   

Abstract

INTRODUCTION: Measuring the range of motion (ROM) of the wrist is an important physical examination conducted in the Department of Hand Surgery for the purpose of evaluation, diagnosis, prognosis, and treatment of patients. The most common method for performing this task is by using a universal goniometer.
MATERIALS AND METHODS: This study was performed using 52 healthy participants to compare wrist ROM measurement using a universal goniometer and the iPhone 4 Gyroscope application. Participants did not have previous wrist illnesses and their measured values for wrist motion were compared in each direction.
RESULTS: Normal values for wrist ROM are 73 degrees of flexion, 71 degrees of extension, 19 degrees of radial deviation, 33 degrees of ulnar deviation, 140 degrees of supination, and 60 degrees of pronation.The average measurement values obtained using the goniometer were 74.2 (5.1) degrees for flexion, 71.1 (4.9) degrees for extension, 19.7 (3.0) degrees for radial deviation, 34.0 (3.7) degrees for ulnar deviation, 140.8 (5.6) degrees for supination, and 61.1 (4.7) degrees for pronation. The average measurement values obtained using the iPhone 4 Gyroscope application were 73.7 (5.5) degrees for flexion, 70.8 (5.1) degrees for extension, 19.5 (3.0) degrees for radial deviation, 33.7 (3.9) degrees for ulnar deviation, 140.4 (5.7) degrees for supination, and 60.8 (4.9) degrees for pronation. The differences between the measurement values by the Gyroscope application and average value were 0.7 degrees for flexion, -0.2 degrees for extension, 0.5 degrees for radial deviation, 0.7 degrees for ulnar deviation, 0.4 degrees for supination, and 0.8 degrees for pronation. The differences in average value were not statistically significant.
CONCLUSIONS: The authors introduced a new method of measuring the range of wrist motion using the iPhone 4 Gyroscope application that is simpler to use and can be performed by the patient outside a clinical setting.

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Year:  2014        PMID: 24322647     DOI: 10.1097/SAP.0b013e31826eabfe

Source DB:  PubMed          Journal:  Ann Plast Surg        ISSN: 0148-7043            Impact factor:   1.539


  10 in total

1.  At Home Photography-Based Method for Measuring Wrist Range of Motion.

Authors:  Samir K Trehan; Schneider K Rancy; Parker H Johnsen; Howard J Hillstrom; Steve K Lee; Scott W Wolfe
Journal:  J Wrist Surg       Date:  2017-03-14

2.  Utility of the iPhone 4 Gyroscope Application in the Measurement of Wrist Motion.

Authors:  Nuphar Lendner; Erik Wells; Idit Lavi; Yan Yan Kwok; Pak-Cheong Ho; Ronit Wollstein
Journal:  Hand (N Y)       Date:  2017-09-16

3.  Development and User Evaluation of a Smartphone-Based System to Assess Range of Motion of Wrist Joint.

Authors:  Naoto Ienaga; Koji Fujita; Takafumi Koyama; Toru Sasaki; Yuta Sugiura; Hideo Saito
Journal:  J Hand Surg Glob Online       Date:  2020-10-16

4.  Reliability and concurrent validity of mobile health technology for patient self-monitoring in physical rehabilitation.

Authors:  Ofra A Pottorf; Daniel J Lee; Paul-Neil Czujko
Journal:  JSES Int       Date:  2022-02-24

5.  Robotic Assessment of Wrist Proprioception During Kinaesthetic Perturbations: A Neuroergonomic Approach.

Authors:  Erika D'Antonio; Elisa Galofaro; Jacopo Zenzeri; Fabrizio Patané; Jürgen Konczak; Maura Casadio; Lorenzo Masia
Journal:  Front Neurorobot       Date:  2021-03-01       Impact factor: 2.650

6.  Smartphone Applications for Assessing Ankle Range of Motion in Clinical Practice.

Authors:  Kevin Y Wang; S Hanif Hussaini; Robert D Teasdall; Chukwuweike U Gwam; Aaron T Scott
Journal:  Foot Ankle Orthop       Date:  2019-09-17

7.  Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry.

Authors:  Jingyuan Fan; Fanbin Gu; Lulu Lv; Zhejin Zhang; Changbing Zhu; Jian Qi; Honggang Wang; Xiaolin Liu; Jiantao Yang; Qingtang Zhu
Journal:  BMC Musculoskelet Disord       Date:  2022-09-21       Impact factor: 2.562

8.  Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study.

Authors:  Valentin Hamy; Luis Garcia-Gancedo; Andrew Pollard; Anniek Myatt; Jingshu Liu; Andrew Howland; Philip Beineke; Emilia Quattrocchi; Rachel Williams; Michelle Crouthamel
Journal:  Digit Biomark       Date:  2020-04-30

9.  Characterization and wearability evaluation of a fully portable wrist exoskeleton for unsupervised training after stroke.

Authors:  Charles Lambelet; Damir Temiraliuly; Marc Siegenthaler; Marc Wirth; Daniel G Woolley; Olivier Lambercy; Roger Gassert; Nicole Wenderoth
Journal:  J Neuroeng Rehabil       Date:  2020-10-07       Impact factor: 4.262

10.  Validation of a smartphone application and wearable sensor for measurements of wrist motions.

Authors:  Fredrik Engstrand; Erik Tesselaar; Rickard Gestblom; Simon Farnebo
Journal:  J Hand Surg Eur Vol       Date:  2021-04-19
  10 in total

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