Literature DB >> 23196790

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

Giorgio Ferriero1, Stefano Vercelli, Francesco Sartorio, Susana Muñoz Lasa, Elena Ilieva, Elisa Brigatti, Carolina Ruella, Calogero Foti.   

Abstract

The aim of this study was to assess the reliability of a smartphone-based application developed for photographic-based goniometry, DrGoniometer (DrG), by comparing its measurement of the knee joint angle with that made by a universal goniometer (UG). Joint goniometry is a common mode of clinical assessment used in many disciplines, in particular in rehabilitation. One validated method is photographic-based goniometry, but the procedure is usually complex: the image has to be downloaded from the camera to a computer and then edited using dedicated software. This disadvantage may be overcome by the new generation of mobile phones (smartphones) that have computer-like functionality and an integrated digital camera. This validation study was carried out under two different controlled conditions: (i) with the participant to measure in a fixed position and (ii) with a battery of pictures to assess. In the first part, four raters performed repeated measurements with DrG and UG at different knee joint angles. Then, 10 other raters measured the knee at different flexion angles ranging 20-145° on a battery of 35 pictures taken in a clinical setting. The results showed that inter-rater and intra-rater correlations were always more than 0.958. Agreement with the UG showed a width of 18.2° [95% limits of agreement (LoA)=-7.5/+10.7°] and 14.1° (LoA=-6.6/+7.5°). In conclusion, DrG seems to be a reliable method for measuring knee joint angle. This mHealth application can be an alternative/additional method of goniometry, easier to use than other photographic-based goniometric assessments. Further studies are required to assess its reliability for the measurement of other joints.

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Year:  2013        PMID: 23196790     DOI: 10.1097/MRR.0b013e32835b8269

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  41 in total

1.  Wireless wearable range-of-motion sensor system for upper and lower extremity joints: a validation study.

Authors:  Yogaprakash Kumar; Shih-Cheng Yen; Arthur Tay; Wangwei Lee; Fan Gao; Ziyi Zhao; Jingze Li; Benjamin Hon; Tim Tian-Ma Xu; Angela Cheong; Karen Koh; Yee-Sien Ng; Effie Chew; Gerald Koh
Journal:  Healthc Technol Lett       Date:  2015-02-10

2.  Getting smarter with patient positioning.

Authors:  L R Kidd; T Deen
Journal:  J Robot Surg       Date:  2015-03-26

3.  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

4.  Comparative analysis of photograph-based clinical goniometry to standard techniques.

Authors:  Jared A Crasto; Arash J Sayari; Robert R-L Gray; Morad Askari
Journal:  Hand (N Y)       Date:  2015-06

5.  Reliability and accuracy of a goniometer mobile device application for video measurement of the functional movement screen deep squat test.

Authors:  David A Krause; Michael S Boyd; Allison N Hager; Eric C Smoyer; Anthony T Thompson; John H Hollman
Journal:  Int J Sports Phys Ther       Date:  2015-02

6.  Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study.

Authors:  Monica J Finkbiner; Kira M Gaina; Marie C McRandall; Megan M Wolf; Vicky M Pardo; Kristina Reid; Brian Adams; Sujay S Galen
Journal:  J Vis Exp       Date:  2017-03-14       Impact factor: 1.355

7.  Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation.

Authors:  Brad E Dicianno; Bambang Parmanto; Andrea D Fairman; Theresa M Crytzer; Daihua X Yu; Gede Pramana; Derek Coughenour; Alan A Petrazzi
Journal:  Phys Ther       Date:  2014-06-12

8.  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

9.  Measurement of the knee flexion angle with smartphone applications: Which technology is better?

Authors:  Jean-Yves Jenny; Abdullah Bureggah; Yann Diesinger
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-02-15       Impact factor: 4.342

10.  The smartphone inclinometer: A new tool to determine elbow range of motion?

Authors:  Frédéric Vauclair; Abdulaziz Aljurayyan; Fahad H Abduljabbar; Bardia Barimani; Patrick Goetti; Fiona Houghton; Edward J Harvey; Dominique M Rouleau
Journal:  Eur J Orthop Surg Traumatol       Date:  2017-10-19
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