Literature DB >> 26447774

Accuracy and Precision of an Accelerometer-Based Smartphone App Designed to Monitor and Record Angular Movement over Time.

Adam J Bittel1, Ashraf Elazzazi2, Daniel C Bittel1.   

Abstract

BACKGROUND: Therapeutic exercise is a central component in the management of many common conditions. It is imperative, therefore, that clinicians monitor and correct patient performance to facilitate the use of proper form both in the clinic and during home exercise programs. Although clinicians are trained to prescribe exercise and analyze form, there are many subtleties that may be missed by relying on visual assessment. This study investigated the accuracy and precision of a novel, exercise-training smartphone application (app), running on an iPhone(®) (Apple, Cupertino, CA) 4 and using its LIS331DLH accelerometer to dynamically measure and record movement during exercise.
MATERIALS AND METHODS: The iPhone, running the app, was mounted to the movement arm of a Biodex™ isokinetic dynamometer System 4 (Biodex Corp., Shirley, NY). Angle and time measurements taken by the app were compared with the dynamometer (gold standard) while rotating at 30°/s, 60°/s, 90°/s, 120°/s, and 150°/s. Accuracy was assessed using limits of agreement and fast Fourier transform analyses. Precision was assessed using the coefficient of variation.
RESULTS: The mean difference between the app and the Biodex recordings was less than 1°/s for all test velocities. The coefficient of variation was less than 3% at velocities from 30°/s to 120°/s and less than 7% at 150°/s.
CONCLUSIONS: The app was highly accurate and precise. The validation of apps designed for motion tracking is a vital prerequisite to clinical implementation. The app described in this article is clinically identical to the Biodex dynamometer in its ability to accurately and precisely read angular movement over time.

Entities:  

Keywords:  rehabilitation; sensor technology; telehealth; telemedicine

Mesh:

Year:  2015        PMID: 26447774     DOI: 10.1089/tmj.2015.0063

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  5 in total

Review 1.  The Digital Neurologic Examination.

Authors:  Adam B Cohen; Brain V Nahed
Journal:  Digit Biomark       Date:  2021-04-26

Review 2.  Smartphone Applications to Perform Body Balance Assessment: a Standardized Review.

Authors:  Jose A Moral-Munoz; Bernabe Esteban-Moreno; Enrique Herrera-Viedma; Manuel J Cobo; Ignacio J Pérez
Journal:  J Med Syst       Date:  2018-05-29       Impact factor: 4.460

Review 3.  Mobile Health Technologies in Cardiopulmonary Disease.

Authors:  Grant E MacKinnon; Evan L Brittain
Journal:  Chest       Date:  2019-10-31       Impact factor: 9.410

4.  Accuracy and repeatability of smartphone sensors for measuring shank-to-vertical angle.

Authors:  Brandon T Nguyen; Nick A Baicoianu; Darrin B Howell; Keshia M Peters; Katherine M Steele
Journal:  Prosthet Orthot Int       Date:  2020-04-21       Impact factor: 1.895

Review 5.  Interactive wearable systems for upper body rehabilitation: a systematic review.

Authors:  Qi Wang; Panos Markopoulos; Bin Yu; Wei Chen; Annick Timmermans
Journal:  J Neuroeng Rehabil       Date:  2017-03-11       Impact factor: 4.262

  5 in total

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