Literature DB >> 28918662

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

Nuphar Lendner1, Erik Wells1, Idit Lavi2, Yan Yan Kwok3, Pak-Cheong Ho3, Ronit Wollstein1,4.   

Abstract

BACKGROUND: Measurement of wrist range of motion (ROM) is important to all aspects of treatment and rehabilitation of upper extremity conditions. Recently, gyroscopes have been used to measure ROM and may be more precise than manual evaluations. The purpose of this study was to evaluate the use of the iPhone gyroscope application and compare it with use of a goniometer, specifically evaluating its accuracy and ease of use.
METHODS: A cross-sectional study evaluated adult Caucasian participants, with no evidence of wrist pathology. Wrist ROM measurements in 306 wrists using the 2 methods were compared. Demographic information was collected including age, sex, and occupation. Analysis included mixed models and Bland-Altman plots.
RESULTS: Wrist motion was similar between the 2 methods. Technical difficulties were encountered with gyroscope use. Age was an independent predictor of ROM.
CONCLUSIONS: Correct measurement of ROM is critical to guide, compare, and evaluate treatment and rehabilitation of the upper extremity. Inaccurate measurements could mislead the surgeon and harm patient adherence with therapy or surgeon instruction. An application used by the patient could improve adherence but needs to be reliable and easy to use. Evaluation is necessary before utilization of such an application. This study supports revision of the application on the iPhone to improve ease of use.

Entities:  

Keywords:  goniometer; gyroscope; iPhone; measurement; wrist motion

Mesh:

Year:  2017        PMID: 28918662      PMCID: PMC6535937          DOI: 10.1177/1558944717730604

Source DB:  PubMed          Journal:  Hand (N Y)        ISSN: 1558-9447


  18 in total

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Authors:  Giorgio Ferriero; Francesco Sartorio; Calogero Foti; Diego Primavera; Elisa Brigatti; Stefano Vercelli
Journal:  PM R       Date:  2011-12       Impact factor: 2.298

2.  Measuring factors affecting grip strength in a Taiwan Chinese population and a comparison with consolidated norms.

Authors:  Shu-Wen Wu; Su-Fang Wu; Hong-Wei Liang; Zheng-Ting Wu; Sophia Huang
Journal:  Appl Ergon       Date:  2008-10-23       Impact factor: 3.661

3.  Implementation of a smartphone as a wireless gyroscope application for the quantification of reflex response.

Authors:  Robert LeMoyne; Timothy Mastroianni
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

4.  Reliability of a smartphone-based goniometer for knee joint goniometry.

Authors:  Giorgio Ferriero; Stefano Vercelli; Francesco Sartorio; Susana Muñoz Lasa; Elena Ilieva; Elisa Brigatti; Carolina Ruella; Calogero Foti
Journal:  Int J Rehabil Res       Date:  2013-06       Impact factor: 1.479

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

Review 6.  Epidemiology of general joint hypermobility and basis for the proposed criteria for benign joint hypermobility syndrome: review of the literature.

Authors:  Lars Remvig; Dorte V Jensen; Robert C Ward
Journal:  J Rheumatol       Date:  2007-01-15       Impact factor: 4.666

7.  Suggestions for refinement of the Disabilities of the Arm, Shoulder and Hand Outcome Measure (DASH): a factor analysis and Rasch validation study.

Authors:  Franco Franchignoni; Andrea Giordano; Francesco Sartorio; Stefano Vercelli; Barbara Pascariello; Giorgio Ferriero
Journal:  Arch Phys Med Rehabil       Date:  2010-09       Impact factor: 3.966

8.  Normative data on wrist function.

Authors:  Matthias Klum; Maya B Wolf; Peter Hahn; Franck M Leclère; Thomas Bruckner; Frank Unglaub
Journal:  J Hand Surg Am       Date:  2012-09-05       Impact factor: 2.230

9.  [The range of joint motions of the extremities in healthy Japanese people--the difference according to the age (author's transl)].

Authors:  H Watanabe; K Ogata; T Amano; T Okabe
Journal:  Nihon Seikeigeka Gakkai Zasshi       Date:  1979-03

10.  Classification accuracies of physical activities using smartphone motion sensors.

Authors:  Wanmin Wu; Sanjoy Dasgupta; Ernesto E Ramirez; Carlyn Peterson; Gregory J Norman
Journal:  J Med Internet Res       Date:  2012-10-05       Impact factor: 5.428

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  3 in total

1.  Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review.

Authors:  Justin W L Keogh; Alistair Cox; Sarah Anderson; Bernard Liew; Alicia Olsen; Ben Schram; James Furness
Journal:  PLoS One       Date:  2019-05-08       Impact factor: 3.240

2.  Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores.

Authors:  Yalan Chen; Yijun Yu; Xin Lin; Zhenwei Han; Zhe Feng; Xinyi Hua; Dongliang Chen; Xiaotao Xu; Yuanpeng Zhang; Guheng Wang
Journal:  Comput Math Methods Med       Date:  2020-09-29       Impact factor: 2.238

3.  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

  3 in total

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