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.

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.

scholarly journals Clinical Effect of Virtual Reality Technology on Rehabilitation Training of Sports Injury

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jing Chen
Keyword(s):  
Virtual Reality ◽  
Upper Limb ◽  
Sports Injury ◽  
Training System ◽  
Average Score ◽  
Virtual Reality Technology ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Rehabilitation System ◽  
Limb Rehabilitation

In order to make most patients recover most of their limb functions after rehabilitation training, virtual reality technology is an emerging human-computer interaction technology, which uses the computer and the corresponding application software to build the virtual reality environment. Completing the training tasks in the virtual environment attracts the patients to conduct repeated training in the game and task-based training mode and gradually realizes the rehabilitation training goals. For the rehabilitation population with certain exercise ability, the kinematics of human upper limbs is mainly analyzed, and the virtual reality system based on HTC VIVE is developed. The feasibility and work efficiency of the upper limb rehabilitation training system were verified by experiments. Adult volunteers who are healthy and need rehabilitation training to participate in the experiment were recruited, and experimental data were recorded. The virtual reality upper limb rehabilitation system was a questionnaire. By extracting the motion data, the system application effect is analyzed and evaluated by the simulation diagram. Follow-up results of rehabilitation training showed that the average score of healthy subjects was more than 4 points and 3.8 points per question. Therefore, it is feasible to perform upper limb rehabilitation training using the HTC VIVE virtual reality rehabilitation system.

scholarly journals Design and Analysis of Cloud Upper Limb Rehabilitation System Based on Motion Tracking for Post-Stroke Patients

2019 ◽  
Vol 9 (8) ◽  
pp. 1620 ◽  
Author(s):  
Bai ◽  
Song ◽  
Li
Keyword(s):  
Upper Limb ◽  
Motion Tracking ◽  
Stroke Patients ◽  
Mean Velocity ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Post Stroke ◽  
Reachable Workspace ◽  
Rehabilitation System ◽  
Limb Rehabilitation

In order to improve the convenience and practicability of home rehabilitation training for post-stroke patients, this paper presents a cloud-based upper limb rehabilitation system based on motion tracking. A 3-dimensional reachable workspace virtual game (3D-RWVG) was developed to achieve meaningful home rehabilitation training. Five movements were selected as the criteria for rehabilitation assessment. Analysis was undertaken of the upper limb performance parameters: relative surface area (RSA), mean velocity (MV), logarithm of dimensionless jerk (LJ) and logarithm of curvature (LC). A two-headed convolutional neural network (TCNN) model was established for the assessment. The experiment was carried out in the hospital. The results show that the RSA, MV, LC and LJ could reflect the upper limb motor function intuitively from the graphs. The accuracy of the TCNN models is 92.6%, 80%, 89.5%, 85.1% and 87.5%, respectively. A therapist could check patient training and assessment information through the cloud database and make a diagnosis. The system can realize home rehabilitation training and assessment without the supervision of a therapist, and has the potential to become an effective home rehabilitation system.

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