RETRACTED ARTICLE: REHAB FUN: an assistive technology in neurological motor disorders rehabilitation of children with cerebral palsy

Oliveira, Juliana Martins; Castro-Muñoz, Roberto; Ribeiro, Sidarta; Wu, Wanqing; Albuquerque, Victor Hugo C. de

doi:10.1007/s00521-019-04059-2

Cited by 11 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When considering the fusion of a Kinect sensor with other sensors such as IMUs, they are a viable way to compensate for the accuracy of both devices in upper limb movements, as realized in [ 77 ]. Based on the above, the NUI of a Kinect sensor can be considered to be a VR technique [ 33 ] that obtains the ROM and kinematics of the upper limbs in patients with CP because it allows the evaluation of body movement, scene modeling, gesture recognition, rehabilitation, and posture reconstruction using vector data [ 46 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review

Francisco-Martínez¹,

Prado-Olivarez²,

Padilla-Medina³

et al. 2021

Sensors

View full text Add to dashboard Cite

Quantifying the quality of upper limb movements is fundamental to the therapeutic process of patients with cerebral palsy (CP). Several clinical methods are currently available to assess the upper limb range of motion (ROM) in children with CP. This paper focuses on identifying and describing available techniques for the quantitative assessment of the upper limb active range of motion (AROM) and kinematics in children with CP. Following the screening and exclusion of articles that did not meet the selection criteria, we analyzed 14 studies involving objective upper extremity assessments of the AROM and kinematics using optoelectronic devices, wearable sensors, and low-cost Kinect sensors in children with CP aged 4–18 years. An increase in the motor function of the upper extremity and an improvement in most of the daily tasks reviewed were reported. In the population of this study, the potential of wearable sensors and the Kinect sensor natural user interface as complementary devices for the quantitative evaluation of the upper extremity was evident. The Kinect sensor is a clinical assessment tool with a unique markerless motion capture system. Few authors had described the kinematic models and algorithms used to estimate their kinematic analysis in detail. However, the kinematic models in these studies varied from 4 to 10 segments. In addition, few authors had followed the joint assessment recommendations proposed by the International Society of Biomechanics (ISB). This review showed that three-dimensional analysis systems were used primarily for monitoring and evaluating spatiotemporal variables and kinematic parameters of upper limb movements. The results indicated that optoelectronic devices were the most commonly used systems. The joint assessment recommendations proposed by the ISB should be used because they are approved standards for human kinematic assessments. This review was registered in the PROSPERO database (CRD42021257211).

show abstract

Section: Discussionmentioning

confidence: 99%

“…Recently, researchers have shown an increased interest in the use of Kinect sensors in health-related areas [ 33 , 34 , 35 ]. Other applications of this device are in the area of agronomy, education, cartography, and robotics [ 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review

Francisco-Martínez¹,

Prado-Olivarez²,

Padilla-Medina³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Cerebral palsy is an infantile disease caused by low levels of brain oxygenation during pregnancy and at birth. In [8], the authors devised a supporting technology called REHAB FUN that developed virtual reality scenarios to help in the treatment of children with cerebral palsy.…”

Section: Related Workmentioning

confidence: 99%

Towards a Low Complexity Scheme for Medical Images in Scalable Video Coding

et al. 2020

View full text Add to dashboard Cite

Medical imaging has become of vital importance for diagnosing diseases and conducting noninvasive procedures. Advances in eHealth applications are challenged by the fact that Digital Imaging and Communications in Medicine (DICOM) requires high-resolution images, thereby increasing their size and the associated computational complexity, particularly when these images are communicated over IP and wireless networks. Therefore, medical research requires an efficient coding technique to achieve high-quality and low-complexity images with error-resilient features. In this study, we propose an improved coding scheme that exploits the content features of encoded videos with low complexity combined with flexible macroblock ordering for error resilience. We identify the homogeneous region in which the search for optimal macroblock modes is early terminated. For non-homogeneous regions, the integration of smaller blocks is employed only if the vector difference is less than the threshold. Results confirm that the proposed technique achieves a considerable performance improvement compared with existing schemes in terms of reducing the computational complexity without compromising the bit-rate and peak signal-to-noise ratio.INDEX TERMS eHealth, medical imaging, scalable video coding, flexible macroblock ordering, slice coding, low complexity.

show abstract

“…Virtual reality environments combined with treatments for patients with cerebral palsy [7] [8] [9] [10], stroke [11] [12], phobias [13] [14] [15] [16], Autism (Autism Spectrum Disorder) [17] [18] [19] are examples of works that indicate this reality. To verify the effectiveness of virtual reality (VR) in rehabilitation therapies, several techniques are applied, such as comparisons of results of applications on volunteers.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Virtual Reality Therapy Systems for Motor and Cognitive Rehabilitation: A Survey based on Clinical Trial Studies

Oliveira,

Munoz,

Duarte

et al. 2021

AIS

Self Cite

View full text Add to dashboard Cite

Rehabilitation is the process related to the recovery, maintenance or improvement of physical mental and / or cognitive skills necessary to carry out daily activities. Virtual reality therapy, virtual reality (VR) immersion therapy, simulation therapy or virtual reality exposure therapy is an intervention method of using virtual reality technology for psychological or occupational therapy. The possibility of simulating situations necessary for the treatment, controlling variables and reducing the patient’s exposure to risks are popular factors for this tool. Many studies indicate that therapy with the aid of virtual reality brings great benefits to the patient. In this article, we present, through a review of 117 articles, the feasibility of applying VR in treatments with clinical trial methodology, identifying through the "Patient, Intervention, Comparison and Outcomes" the characteristics, population, treatment time, forms of comparison and if the results obtained are effective. The characteristics identified during the process show that virtual reality applied to therapies can be used without negative interference in the treatment. In addition, the results show that VR in rehabilitation treatments are motivating and show better results than traditional treatments.

show abstract

RETRACTED ARTICLE: REHAB FUN: an assistive technology in neurological motor disorders rehabilitation of children with cerebral palsy

Cited by 11 publications

References 29 publications

Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review

Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review

Towards a Low Complexity Scheme for Medical Images in Scalable Video Coding

Intelligent Virtual Reality Therapy Systems for Motor and Cognitive Rehabilitation: A Survey based on Clinical Trial Studies

Contact Info

Product

Resources

About