Literature DB >> 25425584

Usability evaluation of a kinematics focused Kinect therapy program for individuals with stroke.

Elizabeth B Brokaw1, Emily Eckel2, Bambi R Brewer1.   

Abstract

BACKGROUND: Continued and frequent use of the affected arm can result in increased function after stroke. However, long-term access to therapy is often limited, and home exercise compliance is low. While rehabilitation gaming is becoming increasingly prevalent, concerns about therapeutic method, safety, and usability for independent home use remain largely unaddressed.
OBJECTIVE: The following paper presents usability evaluation of a game based home therapy program called Home Arm Movement Stroke Training Environment (HAMSTER), which is focused on retraining normal arm kinematics and preventing compensation strategies that limit recovery.
METHODS: Kinect games were created with special consideration for the stroke population and retraining normal movement kinematics. Ten individuals with stroke evaluated the games in focused interviews and one individual with chronic stroke completed one month of independent HAMSTER use in the home.
RESULTS: The focused interviews showed the need for motivational upper extremity home interventions. Usability evaluation showed the ability for individuals with stroke to interact with the kinematics focused Kinect games after a short exposure time. The single participant evaluation of home use showed good compliance and improvement on all of the clinical outcome measures after the one month of HAMSTER use.
CONCLUSIONS: These positive results merit further evaluation of kinematic-focused home gaming interventions like HAMSTER to reduce the use of compensation strategies during home exercise and provide a supplement to conventional care to improve exercise compliance and upper extremity function after stroke.

Entities:  

Keywords:  Stroke; kinematics; neurorehabilitation; upper extremity

Mesh:

Year:  2015        PMID: 25425584     DOI: 10.3233/THC-140880

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  17 in total

1.  Home-based technologies for stroke rehabilitation: A systematic review.

Authors:  Yu Chen; Kingsley Travis Abel; John T Janecek; Yunan Chen; Kai Zheng; Steven C Cramer
Journal:  Int J Med Inform       Date:  2018-12-11       Impact factor: 4.046

2.  Modifying Kinect placement to improve upper limb joint angle measurement accuracy.

Authors:  Na Jin Seo; Mojtaba F Fathi; Pilwon Hur; Vincent Crocher
Journal:  J Hand Ther       Date:  2016-10-18       Impact factor: 1.950

3.  Capturing Upper Limb Gross Motor Categories Using the Kinect® Sensor.

Authors:  Na Jin Seo; Vincent Crocher; Egli Spaho; Charles R Ewert; Mojtaba F Fathi; Pilwon Hur; Sara A Lum; Elizabeth M Humanitzki; Abigail L Kelly; Viswanathan Ramakrishnan; Michelle L Woodbury
Journal:  Am J Occup Ther       Date:  2019 Jul/Aug

4.  The efficacy of interactive, motion capture-based rehabilitation on functional outcomes in an inpatient stroke population: a randomized controlled trial.

Authors:  John Cannell; Emelyn Jovic; Amy Rathjen; Kylie Lane; Anna M Tyson; Michele L Callisaya; Stuart T Smith; Kiran Dk Ahuja; Marie-Louise Bird
Journal:  Clin Rehabil       Date:  2017-07-19       Impact factor: 3.477

Review 5.  Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy.

Authors:  Els Knippenberg; Jonas Verbrugghe; Ilse Lamers; Steven Palmaers; Annick Timmermans; Annemie Spooren
Journal:  J Neuroeng Rehabil       Date:  2017-06-24       Impact factor: 4.262

6.  Kinect V2 Performance Assessment in Daily-Life Gestures: Cohort Study on Healthy Subjects for a Reference Database for Automated Instrumental Evaluations on Neurological Patients.

Authors:  Alessandro Scano; Andrea Chiavenna; Matteo Malosio; Lorenzo Molinari Tosatti
Journal:  Appl Bionics Biomech       Date:  2017-11-22       Impact factor: 1.781

Review 7.  Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  JMIR Rehabil Assist Technol       Date:  2018-05-08

8.  Kinect-based assessment of proximal arm non-use after a stroke.

Authors:  K K A Bakhti; I Laffont; M Muthalib; J Froger; D Mottet
Journal:  J Neuroeng Rehabil       Date:  2018-11-14       Impact factor: 4.262

Review 9.  What is the impact of user affect on motor learning in virtual environments after stroke? A scoping review.

Authors:  Nina Rohrbach; Emily Chicklis; Danielle Elaine Levac
Journal:  J Neuroeng Rehabil       Date:  2019-06-27       Impact factor: 4.262

10.  Low-Cost Tracking Systems Allow Fine Biomechanical Evaluation of Upper-Limb Daily-Life Gestures in Healthy People and Post-Stroke Patients.

Authors:  Alessandro Scano; Franco Molteni; Lorenzo Molinari Tosatti
Journal:  Sensors (Basel)       Date:  2019-03-11       Impact factor: 3.576

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