Literature DB >> 18618956

Quantitative analysis of sit to stand movement: experimental set-up definition and application to healthy and hemiplegic adults.

M Galli1, V Cimolin, M Crivellini, I Campanini.   

Abstract

Rising from a chair or sit to stand (STS) is a movement with a great clinical interest: it is meaningful in order to evaluate motor control and stability in patients with functional limitations. STS requires some skills, as coordination between trunk and lower limbs movements, correction of muscles strength, control of equilibrium and stability and it is often considered into clinical evaluation scales of different pathologies. In literature, although some studies are focused on STS, the essential functions of standing up are not well standardized and uniformly defined: for this reason its application in clinical centres is difficult. In this study an experimental set-up for acquisition of STS movement which is suitable for clinical applications has been proposed: first, it was studied in healthy subjects, to define a normative database of this specific motor task, then in pathological subjects (adults with hemiplegia), to quantify their functional limitation, using quantitative kinematic and kinetic parameters. The results showed that this experimental set-up is effective both in healthy and in pathological subjects; some significant parameters were identified and calculated in order to characterise and quantify the functional limitation of patients.

Entities:  

Mesh:

Year:  2008        PMID: 18618956     DOI: 10.1016/j.gaitpost.2007.10.003

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  24 in total

1.  Trajectory of human movement during sit to stand: a new modeling approach based on movement decomposition and multi-phase cost function.

Authors:  Mohsen Sadeghi; Mehran Emadi Andani; Fariba Bahrami; Mohamad Parnianpour
Journal:  Exp Brain Res       Date:  2013-06-27       Impact factor: 1.972

2.  Toward Phase-Variable Control of Sit-to-Stand Motion with a Powered Knee-Ankle Prosthesis.

Authors:  Daphna Raz; Edgar Bolívar-Nieto; Necmiye Ozay; Robert D Gregg
Journal:  Control Technol Appl       Date:  2022-01-03

3.  Persistent cancer-related fatigue after breast cancer treatment predicts postural sway and post-exertional changes in sit-to-stand strategy.

Authors:  Stephen Wechsler; Janet Kneiss; Benjamin Adams; Lisa J Wood Magee
Journal:  Rehabil Oncol       Date:  2022-06-28

4.  A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Authors:  Thomas Bennett; Praveen Kumar; Virginia Ruiz Garate
Journal:  Sensors (Basel)       Date:  2022-06-24       Impact factor: 3.847

5.  Sit-to-Stand Transition Reveals Acute Fall Risk in Activities of Daily Living.

Authors:  Tomislav Pozaic; Ulrich Lindemann; Anna-Karina Grebe; Wilhelm Stork
Journal:  IEEE J Transl Eng Health Med       Date:  2016-12-01       Impact factor: 3.316

6.  A comparative study for performance evaluation of sit-to-stand task with body worn sensor and existing laboratory methods.

Authors:  Rahul Soangra; Thurmon E Lockhart
Journal:  Biomed Sci Instrum       Date:  2012

7.  Biomechanical analysis of the relation between movement time and joint moment development during a sit-to-stand task.

Authors:  Shinsuke Yoshioka; Akinori Nagano; Dean C Hay; Senshi Fukashiro
Journal:  Biomed Eng Online       Date:  2009-10-22       Impact factor: 2.819

8.  Powered Sit-to-Stand and Assistive Stand-to-Sit Framework for a Powered Transfemoral Prosthesis.

Authors:  Huseyin Atakan Varol; Frank Sup; Michael Goldfarb
Journal:  IEEE Int Conf Rehabil Robot       Date:  2009

9.  Effects of foot position of the nonparetic side during sit-to-stand training on postural balance in patients with stroke.

Authors:  Jintae Han; Youngmi Kim; Kyung Kim
Journal:  J Phys Ther Sci       Date:  2015-08-21

10.  Sit-stand and stand-sit transitions in older adults and patients with Parkinson's disease: event detection based on motion sensors versus force plates.

Authors:  Agnes Zijlstra; Martina Mancini; Ulrich Lindemann; Lorenzo Chiari; Wiebren Zijlstra
Journal:  J Neuroeng Rehabil       Date:  2012-10-07       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.