EMG-based upper-limb rehabilitation via music synchronization with augmented reality

2011 ◽  
Author(s):  
Boonyarat Viriyasaksathian ◽  
Sarawin Khemmachotikun ◽  
Panya Kaimuk ◽  
Yodchanan Wongsawat
Keyword(s):  
Augmented Reality ◽  
Upper Limb ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

scholarly journals Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Marina Melero ◽  
Annie Hou ◽  
Emily Cheng ◽  
Amogh Tayade ◽  
Sing Chun Lee ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Upper Limb ◽  
Microsoft Kinect ◽  
Personalized Feedback ◽  
Hand Gestures ◽  
Rehabilitation Process ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Therapy ◽  
Dance Movements ◽  
Limb Rehabilitation

Unsuccessful rehabilitation therapy is a widespread issue amongst modern day amputees. Of the estimated 10 million amputees worldwide, 3 million of whom are upper limb amputees, a large majority are discontent and experience rejection with their current prosthesis during activities of daily living (ADL). Here we introduce Upbeat, an augmented reality (AR) dance game designed to improve rehabilitation therapies in upper limb amputees. In Upbeat, the patient is instructed to follow a virtual dance instructor, performing choreographed dance movements containing hand gestures involved in upper limb rehabilitation therapy. The patient’s position is then tracked using a Microsoft Kinect sensor while the hand gestures are analyzed using EMG data collected from a Myo Armband. Additionally, a gamified score is calculated based on how many gestures and movements were correctly performed. Upon completion of the game, a diagnostic summary of the results is shown in the form of a graph summarizing the collected EMG data, as well as with a video displaying an augmented visualization of the patient’s upper arm muscle activity during gameplay. By gamifying the rehabilitation process, Upbeat has the potential to improve therapy on upper limb amputees by enabling the start of rehabilitation immediately after trauma, providing personalized feedback which professionals can utilize to accurately assess patient’s progress, and increasing patient excitement, therefore increasing patient willingness to complete rehabilitation. This paper is concerned with the description and evaluation of our prototypic implementation of Upbeat that will serve as the basis for conducting clinical studies to evaluate its impact on rehabilitation.

Effective Physical Rehabilitation System

2016 ◽  
pp. 180-197
Author(s):  
Yee Mon Aung ◽  
Adel Al-Jumaily
Keyword(s):  
Augmented Reality ◽  
Upper Limb ◽  
Physical Rehabilitation ◽  
Whole Body ◽  
Motor Deficit ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Therapy ◽  
Rehabilitation System ◽  
Limb Rehabilitation ◽  
Rehabilitation Exercises

Physical disability due to any neurological disorder such as Traumatic Brain Injury (TBI), Spinal Cord Injury (SCI) or Cerebrovascular Accident (CVA) leads to motor deficit which will result in loss of control over whole body or one side of the body depending on which part of the brain is affected. In this case, physical rehabilitation is required to perform for restoration of lost functions to promote the patient's quality of life. However, traditional rehabilitation therapy requires one-to-one attention between patient and therapist. Furthermore, patients feel mundane after long term training with traditional exercises in repetitive manners. Therefore, this chapter presents the Effective Physical Rehabilitation System (EPRS) for upper limb rehabilitation by combination of augmented reality based rehabilitation exercises and biofeedback for fast recovery of motor deficit with motivational approach over traditional upper limb rehabilitation therapy which requires minimum supervision of physiotherapist. The main objective of EPRs is to restore the range of motions of upper limb and to prevent from muscle spasticity, muscle atrophy and osteoporosis in effective and motivated way. To meet this objective, augmented reality based pick and place rehabilitation exercises are developed for reaching movements. The effectiveness of the proposed system is evaluated by the experiments and questionnaires results.

Upper-limb Rehabilitation Robot Based on Motor Imagery EEG

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Baoguo XU ◽  
Si PENG ◽  
Aiguo SONG
Keyword(s):  
Motor Imagery ◽  
Upper Limb ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Upper-limb Rehabilitation Robot Motion Control Based on Dynamic Interpolation

ROBOT ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 539 ◽  
Author(s):  
Lizheng PAN ◽  
Aiguo SONG ◽  
Guozheng XU ◽  
Huijun LI ◽  
Baoguo XU
Keyword(s):  
Motion Control ◽  
Upper Limb ◽  
Robot Motion ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation
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