Literature DB >> 25594979

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go.

Gina Sprint, Diane J Cook, Douglas L Weeks.   

Abstract

Older adults often suffer from functional impairments that affect their ability to perform everyday tasks. To detect the onset and changes in abilities, healthcare professionals administer standardized assessments. Recently, technology has been utilized to complement these clinical assessments to gain a more objective and detailed view of functionality. In the clinic and at home, technology is able to provide more information about patient performance and reduce subjectivity in outcome measures. The timed up and go (TUG) test is one such assessment recently instrumented with technology in several studies, yielding promising results toward the future of automating clinical assessments. Potential benefits of technological TUG implementations include additional performance parameters, generated reports, and the ability to be self-administered in the home. In this paper, we provide an overview of the TUG test and technologies utilized for TUG instrumentation. We then critically review the technological advancements and follow up with an evaluation of the benefits and limitations of each approach. Finally, we analyze the gaps in the implementations and discuss challenges for future research toward automated self-administered assessment in the home.

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Year:  2015        PMID: 25594979      PMCID: PMC4813663          DOI: 10.1109/RBME.2015.2390646

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  80 in total

1.  Effects of footwear on measurements of balance and gait in women between the ages of 65 and 93 years.

Authors:  S A Arnadottir; V S Mercer
Journal:  Phys Ther       Date:  2000-01

2.  Longitudinal falls-risk estimation using triaxial accelerometry.

Authors:  Michael R Narayanan; Stephen J Redmond; Maria Elena Scalzi; Stephen R Lord; Branko G Celler; Nigel H Lovell Ast
Journal:  IEEE Trans Biomed Eng       Date:  2009-09-29       Impact factor: 4.538

3.  Testing functional performance in people with Parkinson disease.

Authors:  Kevin J Brusse; Sandy Zimdars; Kathryn R Zalewski; Teresa M Steffen
Journal:  Phys Ther       Date:  2005-02

4.  Assessing mobility at home in people with early Parkinson's disease using an instrumented Timed Up and Go test.

Authors:  Cris Zampieri; Arash Salarian; Patricia Carlson-Kuhta; John G Nutt; Fay B Horak
Journal:  Parkinsonism Relat Disord       Date:  2010-08-30       Impact factor: 4.891

5.  Older adults' attitudes towards and perceptions of "smart home" technologies: a pilot study.

Authors:  George Demiris; Marilyn Rantz; Myra Aud; Karen Marek; Harry Tyrer; Marjorie Skubic; Ali Hussam
Journal:  Med Inform Internet Med       Date:  2004-06

6.  Disturbance of sequential movements in patients with Parkinson's disease.

Authors:  R Benecke; J C Rothwell; J P Dick; B L Day; C D Marsden
Journal:  Brain       Date:  1987-04       Impact factor: 13.501

7.  Prognostic validity of the Timed Up-and-Go test, a modified Get-Up-and-Go test, staff's global judgement and fall history in evaluating fall risk in residential care facilities.

Authors:  Ellinor Nordin; Nina Lindelöf; Erik Rosendahl; Jane Jensen; Lillemor Lundin-Olsson
Journal:  Age Ageing       Date:  2008-05-30       Impact factor: 10.668

8.  A prospective study of alterations in balance among patients with Parkinson's Disease. Protocol of the postural evaluation.

Authors:  M Rossi; A Soto; S Santos; A Sesar; T Labella
Journal:  Eur Neurol       Date:  2009-01-08       Impact factor: 1.710

9.  Quantifying freezing of gait in Parkinson's disease during the instrumented timed up and go test.

Authors:  Martina Mancini; Kelsey C Priest; John G Nutt; Fay B Horak
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

10.  The instrumented timed up and go test: potential outcome measure for disease modifying therapies in Parkinson's disease.

Authors:  Cris Zampieri; Arash Salarian; Patricia Carlson-Kuhta; Kamiar Aminian; John G Nutt; Fay B Horak
Journal:  J Neurol Neurosurg Psychiatry       Date:  2009-09-02       Impact factor: 10.154

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  21 in total

1.  Predicting Functional Independence Measure Scores During Rehabilitation with Wearable Inertial Sensors.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks; Vladimir Borisov
Journal:  IEEE Access       Date:  2015-08-26       Impact factor: 3.367

2.  Measuring Changes in Gait and Vehicle Transfer Ability During Inpatient Rehabilitation with Wearable Inertial Sensors.

Authors:  Vladimir Borisov; Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  Proc IEEE Int Conf Pervasive Comput Commun Workshops       Date:  2017-05-04

3.  Automating the Timed Up and Go Test Using a Depth Camera.

Authors:  Amandine Dubois; Titus Bihl; Jean-Pierre Bresciani
Journal:  Sensors (Basel)       Date:  2017-12-22       Impact factor: 3.576

4.  Aging effect on the instrumented Timed-Up-and-Go test variables in nursing home women aged 80-93 years.

Authors:  Ryszard Zarzeczny; Agnieszka Nawrat-Szołtysik; Anna Polak; Jakub Maliszewski; Adam Kiełtyka; Beata Matyja; Magdalena Dudek; Joanna Zborowska; Adam Wajdman
Journal:  Biogerontology       Date:  2017-06-20       Impact factor: 4.277

5.  Experimental Validation of Depth Cameras for the Parameterization of Functional Balance of Patients in Clinical Tests.

Authors:  Francisco-Ángel Moreno; José Antonio Merchán-Baeza; Manuel González-Sánchez; Javier González-Jiménez; Antonio I Cuesta-Vargas
Journal:  Sensors (Basel)       Date:  2017-02-22       Impact factor: 3.576

6.  Turning is an important marker of balance confidence and walking limitation in persons with multiple sclerosis.

Authors:  Gautam Adusumilli; Samantha Lancia; Victoria A Levasseur; Vaishak Amblee; Megan Orchard; Joanne M Wagner; Robert T Naismith
Journal:  PLoS One       Date:  2018-06-07       Impact factor: 3.240

7.  Movement smoothness during a functional mobility task in subjects with Parkinson's disease and freezing of gait - an analysis using inertial measurement units.

Authors:  Camila Pinto; Clarissa Pedrini Schuch; Gustavo Balbinot; Ana Paula Salazar; Ewald Max Hennig; Ana Francisca Rozin Kleiner; Aline Souza Pagnussat
Journal:  J Neuroeng Rehabil       Date:  2019-09-05       Impact factor: 4.262

8.  Pilot Study of the EncephaLog Smartphone Application for Gait Analysis.

Authors:  Keren Tchelet; Alit Stark-Inbar; Ziv Yekutieli
Journal:  Sensors (Basel)       Date:  2019-11-26       Impact factor: 3.576

9.  Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements.

Authors:  Sandra Hellmers; Babak Izadpanah; Lena Dasenbrock; Rebecca Diekmann; Jürgen M Bauer; Andreas Hein; Sebastian Fudickar
Journal:  Sensors (Basel)       Date:  2018-10-02       Impact factor: 3.576

10.  Thigh-Derived Inertial Sensor Metrics to Assess the Sit-to-Stand and Stand-to-Sit Transitions in the Timed Up and Go (TUG) Task for Quantifying Mobility Impairment in Multiple Sclerosis.

Authors:  Harry J Witchel; Cäcilia Oberndorfer; Robert Needham; Aoife Healy; Carina E I Westling; Joseph H Guppy; Jake Bush; Jens Barth; Chantal Herberz; Daniel Roggen; Björn M Eskofier; Waqar Rashid; Nachiappan Chockalingam; Jochen Klucken
Journal:  Front Neurol       Date:  2018-09-14       Impact factor: 4.003

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