A low cost kinect-based virtual rehabilitation system for inpatient rehabilitation of the upper limb in patients with subacute stroke

Kim, Won‐Seok; Cho, Sungmin; Park, Seo Hyun; Lee, Jun-Young; Kwon, SuYeon; Paik, Nam–Jong

doi:10.1097/md.0000000000011173

Cited by 39 publications

(26 citation statements)

References 35 publications

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“…The theory of motor re-learning requires patients to be able to perceive depth in each movement during the entire rehabilitation process, and these actions use the higher precision muscle strength and joint angle. In the process of repeated training in sufficient time, slowly learn to control the speed, direction and amplitude of limb movement [18]- [20]. Therefore, this topic proposes to combine Kinect somatosensory technology, virtual reality technology and robot-assisted rehabilitation training system.…”

Section: Kinect-based Interactive Design Framework For Upper Limbmentioning

confidence: 99%

“…The important basis is to intuitively evaluate the patient's rehabilitation effect, and to carry out high-efficiency remote decisionmaking in a targeted manner, which can be distinguished by horizontal rehabilitation training and three-dimensional space rehabilitation training methods. Using the Unity3D 3D engine to import 3D models and scenes onto the software simulation platform [4], [14], [16], [17], a virtual game designed for balanced rehabilitation training for patients with hemiplegia due to traumatic brain injury and spinal injury was designed. During the rehabilitation game, the patients participating in the balance rehabilitation training will display the patient's morphological movement and motion state as virtual creatures while the Kinect sensor is tracking the patient image in real time.…”

Section: Introductionmentioning

confidence: 99%

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Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

Wang

Liu²,

Lan

2019

IEEE Access

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The virtual rehabilitation system combining virtual rehabilitation environment and upper limb rehabilitation technology is interactive and interesting, which can improve the enthusiasm and initiative of patients for rehabilitation training, improve the efficiency of rehabilitation training and improve the effect of rehabilitation treatment. This paper firstly conducts in-depth research and analysis on the research progress of the upper limb rehabilitation robot system, and deeply studies the principle and rehabilitation principle of the stroke caused by hemiplegic dyskinesia, and summarizes the goals and methods of the upper limb rehabilitation system design. Secondly, the hand motion tracking is realized by Kinect's bone tracking, and the optimal tracking distance is determined experimentally, which verifies the stability and robustness of the tracking. Static gesture recognition adopts two gesture recognition schemes based on Kinect depth image and color space model respectively. Finally, using the rehabilitation robot and Kinect sensor as the hardware platform, the virtual rehabilitation training system experimental platform is constructed, and the horizontal rehabilitation exercise and the three-dimensional space rehabilitation exercise are respectively studied experimentally, and the exercise data obtained by using healthy subjects as the experimental object is analyzed. Based on this, the validity and feasibility of the Kinect-based upper limb exercise rehabilitation interactive system were verified.

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Section: Kinect-based Interactive Design Framework For Upper Limbmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

Wang

Liu²,

Lan

2019

IEEE Access

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“…assessment for fall detection [36], [37], fall risk reduction in applications for elderly care [38], [39], affordable in-home tele-rehabilitation methods for care and physical rehabilitation [40]- [42], and stroke rehabilitation [43]- [47]. The Kinect's RGB camera and infrared depth sensors infer body gestures and positions based on the skeletal models obtained via machine learning; its frame rate is up to 30 fps.…”

Section: A Kinect-based Devices and Multi-object Tracking In Real-timementioning

confidence: 99%

Portable Motion-Analysis Device for Upper-Limb Research, Assessment, and Rehabilitation in Non-Laboratory Settings

Sohn

Sipahi

Sanger

et al. 2019

IEEE J. Transl. Eng. Health Med.

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This study presents the design and feasibility testing of an interactive portable motion-analysis device for the assessment of upper-limb motor functions in clinical and home settings. The device engages subjects to perform tasks that imitate activities of daily living, e.g. drinking from a cup and moving other complex objects. Sitting at a magnetic table subjects hold a 3D printed cup with an adjustable magnet and move this cup on the table to targets that can be drawn on the table surface. A ball rolling inside the cup can enhance the task challenge by introducing additional dynamics. A single video camera with a portable computer tracks real-time kinematics of the cup and the rolling ball using a custom-developed, color-based computer-vision algorithm. Preliminary verification with marker-based 3D-motion capture demonstrated that the device produces accurate kinematic measurements. Based on the real-time 2D cup coordinates, audiovisual feedback about performance can be delivered to increase motivation. The feasibility of using this device in clinical diagnostics is demonstrated on 2 neurotypical children and also 3 children with upper-extremity impairments in the hospital, where conventional motion-analysis systems are difficult to use. The device meets key needs for clinical practice: 1) a portable solution for quantitative motor assessment for upper-limb movement disorders at non-laboratory clinical settings, 2) a low-cost rehabilitation device that can increase the volume of in-home physical therapy, and 3) the device affords testing and training a variety of motor tasks inspired by daily challenges to enhance self-confidence to participate in day-today activities. INDEX TERMS Quantitative motor assessment, kinematic data acquisition device, upper-limb movement disorder, cerebral palsy, stroke.

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“…Flexible and individualized rehabilitation design is possible according to the patient’s motor impairment, which makes the step-by-step approach possible. A low-cost virtual rehabilitation system can be used as an adjunctive therapy to conventional rehabilitation, with less direct supervision by a therapist [ 16 ], and it can also be considered for use as a tele- or home-based rehabilitation tool [ 17 ]. Functional assessment and digital tracking of patients’ progress is possible using motion sensors combined with VR systems for rehabilitation [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Clinical Application of Virtual Reality for Upper Limb Motor Rehabilitation in Stroke: Review of Technologies and Clinical Evidence

Kim

Cho²,

et al. 2020

JCM

Self Cite

135

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Neurorehabilitation for stroke is important for upper limb motor recovery. Conventional rehabilitation such as occupational therapy has been used, but novel technologies are expected to open new opportunities for better recovery. Virtual reality (VR) is a technology with a set of informatics that provides interactive environments to patients. VR can enhance neuroplasticity and recovery after a stroke by providing more intensive, repetitive, and engaging training due to several advantages, including: (1) tasks with various difficulty levels for rehabilitation, (2) augmented real-time feedback, (3) more immersive and engaging experiences, (4) more standardized rehabilitation, and (5) safe simulation of real-world activities of daily living. In this comprehensive narrative review of the application of VR in motor rehabilitation after stroke, mainly for the upper limbs, we cover: (1) the technologies used in VR rehabilitation, including sensors; (2) the clinical application of and evidence for VR in stroke rehabilitation; and (3) considerations for VR application in stroke rehabilitation. Meta-analyses for upper limb VR rehabilitation after stroke were identified by an online search of Ovid-MEDLINE, Ovid-EMBASE, the Cochrane Library, and KoreaMed. We expect that this review will provide insights into successful clinical applications or trials of VR for motor rehabilitation after stroke.

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A low cost kinect-based virtual rehabilitation system for inpatient rehabilitation of the upper limb in patients with subacute stroke

Abstract: Supplemental Digital Content is available in the text

Cited by 39 publications

References 35 publications

Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

Portable Motion-Analysis Device for Upper-Limb Research, Assessment, and Rehabilitation in Non-Laboratory Settings

Clinical Application of Virtual Reality for Upper Limb Motor Rehabilitation in Stroke: Review of Technologies and Clinical Evidence

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