Literature DB >> 26181806

Motor Rehabilitation Using Kinect: A Systematic Review.

Alana Da Gama1, Pascal Fallavollita2, Veronica Teichrieb1, Nassir Navab2.   

Abstract

BACKGROUND: Interactive systems are being developed with the intention to help in the engagement of patients on various therapies. Amid the recent technological advances, Kinect™ from Microsoft (Redmond, WA) has helped pave the way on how user interaction technology facilitates and complements many clinical applications. In order to examine the actual status of Kinect developments for rehabilitation, this article presents a systematic review of articles that involve interactive, evaluative, and technical advances related to motor rehabilitation.
MATERIALS AND METHODS: Systematic research was performed in the IEEE Xplore and PubMed databases using the key word combination "Kinect AND rehabilitation" with the following inclusion criteria: (1) English language, (2) page number >4, (3) Kinect system for assistive interaction or clinical evaluation, or (4) Kinect system for improvement or evaluation of the sensor tracking or movement recognition. Quality assessment was performed by QualSyst standards.
RESULTS: In total, 109 articles were found in the database research, from which 31 were included in the review: 13 were focused on the development of assistive systems for rehabilitation, 3 in evaluation, 3 in the applicability category, 7 on validation of Kinect anatomic and clinical evaluation, and 5 on improvement techniques. Quality analysis of all included articles is also presented with their respective QualSyst checklist scores.
CONCLUSIONS: Research and development possibilities and future works with the Kinect for rehabilitation application are extensive. Methodological improvements when performing studies on this area need to be further investigated.

Entities:  

Mesh:

Year:  2015        PMID: 26181806     DOI: 10.1089/g4h.2014.0047

Source DB:  PubMed          Journal:  Games Health J        ISSN: 2161-783X


  23 in total

1.  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

2.  Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques.

Authors:  Lin Wei; Cheng-Shiu Chung; Alicia M Koontz
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-08-13

Review 3.  Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review.

Authors:  Verena Venek; Stefan Kranzinger; Hermann Schwameder; Thomas Stöggl
Journal:  Sensors (Basel)       Date:  2022-06-24       Impact factor: 3.847

Review 4.  The Evolution of Personalized Behavioral Intervention Technology: Will It Change How We Measure or Deliver Rehabilitation?

Authors:  Bruce H Dobkin; Andrew K Dorsch
Journal:  Stroke       Date:  2017-07-05       Impact factor: 7.914

5.  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 6.  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

7.  Smart Web-Based Platform to Support Physical Rehabilitation.

Authors:  Yves Rybarczyk; Jan Kleine Deters; Clément Cointe; Danilo Esparza
Journal:  Sensors (Basel)       Date:  2018-04-26       Impact factor: 3.576

8.  Physically Consistent Whole-Body Kinematics Assessment Based on an RGB-D Sensor. Application to Simple Rehabilitation Exercises.

Authors:  Jessica Colombel; Vincent Bonnet; David Daney; Raphael Dumas; Antoine Seilles; François Charpillet
Journal:  Sensors (Basel)       Date:  2020-05-17       Impact factor: 3.576

9.  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

10.  Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system.

Authors:  Frieder Wittmann; Jeremia P Held; Olivier Lambercy; Michelle L Starkey; Armin Curt; Raphael Höver; Roger Gassert; Andreas R Luft; Roman R Gonzenbach
Journal:  J Neuroeng Rehabil       Date:  2016-08-11       Impact factor: 4.262

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