Literature DB >> 26068547

Sit-to-Stand Trainer: An Apparatus for Training "Normal-Like" Sit to Stand Movement.

Zlatko Matjacic, Matjaz Zadravec, Jakob Oblak.   

Abstract

Sit-to-stand (STS) transfer training is probably the most demanding task in rehabilitation. We have developed an innovative STS trainer that offers variable levels of mechanical support and speeds of STS transfer. In a group of neurologically intact individuals we compared kinematics, kinetics and electromyography (EMG) patterns of STS transfer assessed in three experimental conditions with increasing degree of mechanical support (MIN STS-T, MED STS-T, and MAX STS-T) to natural, unassisted STS movement (NO STS-T). The resulting ankle, knee, hip joint and trunk angles in experimental conditions MED STS-T and MIN STS-T were very similar to experimental condition NO STS-T. Vertical ground reaction forces and EMG patterns in the tibialis anterior, quadriceps and hamstrings show a clear trend toward "normal" patterns as the level of mechanical support from the device is progressively reduced. We have further tested the feasibility of the STS trainer in five stroke subjects at two levels of support showing that increased voluntary effort is needed when the support is reduced. Based on these results we conclude that negligible constraints are imposed by the device on a user's STS transfer kinematics, which is an important prerequisite for considering clinical use of the device for training in neurologically impaired.

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Year:  2015        PMID: 26068547     DOI: 10.1109/TNSRE.2015.2442621

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


  3 in total

1.  Comparison of the tibialis anterior and soleus muscles isolation ratios during the sit-to-stand movement in elderly people.

Authors:  Sang-Hoon Lee; Won-Gyu Yoo
Journal:  J Phys Ther Sci       Date:  2017-06-07

2.  Combined Therapy With Functional Electrical Stimulation and Standing Frame in Stroke Patients.

Authors:  Joung Bok Lee; Sang Beom Kim; Kyeong Woo Lee; Jong Hwa Lee; Jin Gee Park; Sook Joung Lee
Journal:  Ann Rehabil Med       Date:  2019-02-28

3.  Nondestructive Estimation of Muscle Contributions to STS Training with Different Loadings Based on Wearable Sensor System.

Authors:  Kun Liu; Yong Liu; Jianchao Yan; Zhenyuan Sun
Journal:  Sensors (Basel)       Date:  2018-03-25       Impact factor: 3.576

  3 in total

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