Literature DB >> 20388603

Sensor-based arm skill training in chronic stroke patients: results on treatment outcome, patient motivation, and system usability.

Annick A A Timmermans1, Henk A M Seelen, Richard P J Geers, Privender K Saini, Stefan Winter, Juergen te Vrugt, Herman Kingma.   

Abstract

As stroke incidence increases, therapists' time is under pressure. Technology-supported rehabilitation may offer new opportunities. The objective of this study was to evaluate patient motivation for and the feasibility and effects of a new technology-supported task-oriented arm training regime (T-TOAT). Nine chronic stroke patients performed T-TOAT (2 x 30 min/day, four days/week) during eight weeks. A system including movement tracking sensors, exercise board, and software-based toolkit was used for skill training. Measures were recorded at baseline, after four and eight weeks of training, and six months posttraining. T-TOAT improved arm-hand performance significantly on Fugl-Meyer, Action Research Arm Test, and Motor Activity Log. Training effects lasted at least six months posttraining. Health-related-quality-of-life had improved significantly after eight weeks of T-TOAT with regard to perceived physical health, but not to perceived mental health (SF-36). None of the EuroQol-5D components showed significant differences before and after training. Participants were intrinsically motivated and felt competent to use the system. Furthermore, system usability was rated very good. However, exercise challenge as perceived by participants decreased significantly over eight weeks of training. The results of this study indicate that T-TOAT is feasible. Despite the small number of stroke patients tested, significant and clinically relevant improvements in skilled arm-hand performance were found.

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Year:  2010        PMID: 20388603     DOI: 10.1109/TNSRE.2010.2047608

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


  21 in total

1.  Stroke Patients' Acceptance of a Smart Garment for Supporting Upper Extremity Rehabilitation.

Authors:  Qi Wang; Annick Timmermans; Wei Chen; Jie Jia; Li Ding; Li Xiong; Jifeng Rong; Panos Markopoulos
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-18       Impact factor: 3.316

2.  The Present and Future of Robotic Technology in Rehabilitation.

Authors:  Jeffrey Laut; Maurizio Porfiri; Preeti Raghavan
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-11-19

Review 3.  A Systematic Review of Wearable Sensors for Monitoring Physical Activity.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

Review 4.  Motor training programs of arm and hand in patients with MS according to different levels of the ICF: a systematic review.

Authors:  Annemie I F Spooren; Annick A A Timmermans; Henk A M Seelen
Journal:  BMC Neurol       Date:  2012-07-02       Impact factor: 2.474

5.  Increasing patient engagement in rehabilitation exercises using computer-based citizen science.

Authors:  Jeffrey Laut; Francesco Cappa; Oded Nov; Maurizio Porfiri
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

6.  Effects of task-oriented robot training on arm function, activity, and quality of life in chronic stroke patients: a randomized controlled trial.

Authors:  Annick A A Timmermans; Ryanne J M Lemmens; Maurice Monfrance; Richard P J Geers; Wilbert Bakx; Rob J E M Smeets; Henk A M Seelen
Journal:  J Neuroeng Rehabil       Date:  2014-03-31       Impact factor: 4.262

7.  TagTrainer: supporting exercise variability and tailoring in technology supported upper limb training.

Authors:  Daniel Tetteroo; Annick A A Timmermans; Henk A M Seelen; Panos Markopoulos
Journal:  J Neuroeng Rehabil       Date:  2014-09-24       Impact factor: 4.262

8.  Motor Control Training for the Shoulder with Smart Garments.

Authors:  Qi Wang; Liesbet De Baets; Annick Timmermans; Wei Chen; Luca Giacolini; Thomas Matheve; Panos Markopoulos
Journal:  Sensors (Basel)       Date:  2017-07-22       Impact factor: 3.576

9.  Accelerometry measuring the outcome of robot-supported upper limb training in chronic stroke: a randomized controlled trial.

Authors:  Ryanne J M Lemmens; Annick A A Timmermans; Yvonne J M Janssen-Potten; Sanne A N T D Pulles; Richard P J Geers; Wilbert G M Bakx; Rob J E M Smeets; Henk A M Seelen
Journal:  PLoS One       Date:  2014-05-13       Impact factor: 3.240

10.  Rehabilitation of hand function after spinal cord injury using a novel handgrip device: a pilot study.

Authors:  Haydn Hoffman; Tiffany Sierro; Tianyi Niu; Melanie E Sarino; Majid Sarrafzadeh; David McArthur; V Reggie Edgerton; Daniel C Lu
Journal:  J Neuroeng Rehabil       Date:  2017-03-21       Impact factor: 5.208

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