Literature DB >> 25014957

Kinematic parameters to evaluate functional performance of sit-to-stand and stand-to-sit transitions using motion sensor devices: a systematic review.

Nora Millor, Pablo Lecumberri, Marisol Gomez, Alicia Martinez-Ramirez, Mikel Izquierdo.   

Abstract

Clinicians commonly use questionnaires and tests based on daily life activities to evaluate physical function. However, the outcomes are usually more qualitative than quantitative and subtle differences are not detectable. In this review, we aim to assess the role of body motion sensors in physical performance evaluation, especially for the sit-to-stand and stand-to-sit transitions. In total, 53 full papers and conference abstracts on related topics were included and 16 different parameters related to transition performance were identified as potentially meaningful to explain certain disabilities and impairments. Transition duration is the most used to evaluate chair-related tests in real clinical settings. High-fall-risk fallers and frail subjects presented longer and more variable transition duration. Other kinematic parameters have also been highlighted in the literature as potential means to detect age-related impairments. In particular, vertical linear velocity and trunk tilt range were able to differentiate between different frailty levels. Frequency domain measures such as spectral edge frequency were also higher for elderly fallers. Lastly, approximate entropy values were larger for subjects with Parkinson's disease and were significantly reduced after treatment. This information could help clinicians in their evaluations as well as in prescribing a physical fitness program to correct a specific deficit.

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Year:  2014        PMID: 25014957     DOI: 10.1109/TNSRE.2014.2331895

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  22 in total

1.  Method to classify elderly subjects as fallers and non-fallers based on gait energy image.

Authors:  Ziba Gandomkar; Fariba Bahrami
Journal:  Healthc Technol Lett       Date:  2014-09-25

Review 2.  Technology-based measurements for screening, monitoring and preventing frailty.

Authors:  L Dasenbrock; A Heinks; M Schwenk; J M Bauer
Journal:  Z Gerontol Geriatr       Date:  2016-09-16       Impact factor: 1.281

3.  Time measurement characterization of stand-to-sit and sit-to-stand transitions by using a smartphone.

Authors:  Hernán A González Rojas; Pedro Chaná Cuevas; Enrique E Zayas Figueras; Salvador Cardona Foix; Antonio J Sánchez Egea
Journal:  Med Biol Eng Comput       Date:  2017-10-23       Impact factor: 2.602

Review 4.  Toward Automating Clinical Assessments: A Survey of the Timed Up and Go.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  IEEE Rev Biomed Eng       Date:  2015-01-12

5.  Optimization of Dynamic Sit-to-Stand Trajectories to Assess Whole-Body Motion Performance of the Humanoid Robot REEM-C.

Authors:  Felix Aller; Monika Harant; Katja Mombaur
Journal:  Front Robot AI       Date:  2022-06-28

6.  Effects of using assistive devices on the components of the modified instrumented timed up and go test in healthy subjects.

Authors:  Turki S Abualait; Ghazi K Alnajdi
Journal:  Heliyon       Date:  2021-04-30

7.  Simultaneous Detection of Displacement, Rotation Angle, and Contact Pressure Using Sandpaper Molded Elastomer Based Triple Electrode Sensor.

Authors:  Eunsuk Choi; Onejae Sul; Seung-Beck Lee
Journal:  Sensors (Basel)       Date:  2017-09-06       Impact factor: 3.576

8.  Inertial measurement systems for segments and joints kinematics assessment: towards an understanding of the variations in sensors accuracy.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Biomed Eng Online       Date:  2017-05-15       Impact factor: 2.819

9.  Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning.

Authors:  Javier Andreu-Perez; Luis Garcia-Gancedo; Jonathan McKinnell; Anniek Van der Drift; Adam Powell; Valentin Hamy; Thomas Keller; Guang-Zhong Yang
Journal:  Sensors (Basel)       Date:  2017-09-14       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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