Literature DB >> 28268970

A Smartphone Application Suite for Assessing Mobility.

Priyanka Madhushri, Armen A Dzhagaryan, Emil Jovanov, Aleksandar Milenkovic.   

Abstract

Modern smartphones integrate a growing number of inertial and environmental sensors that can enable the development of new mobile health applications. In this paper we introduce a suite of smartphone applications for assessing mobility in elderly population. The suite currently includes applications that automate and quantify the following standardized medical tests for assessing mobility: Timed-Up-and-Go (TUG), 30 Seconds Chair Stand Test (30SCS), and a 4-stage Balance Test (4SBT). For each smartphone application we describe its functionality and a list of parameters extracted by processing signals from smartphone's inertial sensors. The paper shows the results from studies conducted on geriatric patients for TUG tests and from studies conducted in the laboratory on healthy subjects for 30SCS and 4SBT tests.

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Year:  2016        PMID: 28268970     DOI: 10.1109/EMBC.2016.7591389

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures.

Authors:  Alessandro Boaro; Jeffrey Leung; Harrison T Reeder; Francesca Siddi; Elisabetta Mezzalira; Gang Liu; Rania A Mekary; Yi Lu; Michael W Groff; Jukka-Pekka Onnela; Timothy R Smith
Journal:  J Neurosurg Spine       Date:  2021-08-27

2.  Concussion Assessment With Smartglasses: Validation Study of Balance Measurement Toward a Lightweight, Multimodal, Field-Ready Platform.

Authors:  Joseph P Salisbury; Neha U Keshav; Anthony D Sossong; Ned T Sahin
Journal:  JMIR Mhealth Uhealth       Date:  2018-01-23       Impact factor: 4.773

3.  Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations.

Authors:  Alina Trifan; Maryse Oliveira; José Luís Oliveira
Journal:  JMIR Mhealth Uhealth       Date:  2019-08-23       Impact factor: 4.773

4.  Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults.

Authors:  Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; María Vanessa Villasana; Rute Crisóstomo; Maria Canavarro Teixeira; Eftim Zdravevski
Journal:  Sensors (Basel)       Date:  2020-06-19       Impact factor: 3.576

5.  Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review.

Authors:  Abinaya Gopalakrishnan; Revathi Venkataraman; Raj Gururajan; Xujuan Zhou; Rohan Genrich
Journal:  PeerJ Comput Sci       Date:  2022-08-02
  5 in total

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