Agrawal Luckykumar Dwarkadas, Viswanath Talasila, Sheeraz Kirmani, Rama Krishna Challa, K. G. Srinivasa
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引用次数: 0
Abstract
Cerebral palsy (CP) is a movement disorder caused by brain damage. Virtual reality (VR) can improve motor function and daily life activities in CP patients. This systematic review examines the use of non-immersive VR in treating CP children. The objective is to evaluate the effectiveness of non-immersive VR in rehabilitating CP children as a standalone intervention or in combination with traditional therapy. The review follows the PRISMA guidelines and includes a comprehensive search of five bibliographic databases. Two reviewers independently assess the search results, evaluate full-text publications, and extract relevant data. The outcomes were described by the International Classification of Functioning, Disability, and Health for Children and Youth (ICF-CY) framework. A total of 20 English-language studies published between January 2013 and January 2023 are included in the review based on predefined inclusion and exclusion criteria. The findings demonstrate that non-immersive VR, when used in conjunction with traditional therapy, yields positive effects on body structure and function (hand function, grip strength, and upper extremity function), activity (motor function, activities of daily life [ADL], balance), and participation (caretakers' assessment, usability, motivation, and user satisfaction) in CP children. Moreover, non-immersive VR alone is found to be more efficient than traditional therapy in improving manual dexterity in CP children. The non-immersive VR can be effective in rehabilitating CP children, and the review concludes by recommending future research with larger sample sizes and randomized trials to investigate further the potential benefits of non-immersive VR in this population.
期刊介绍:
The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics. The journal covers all imaging modalities in humans and animals.
IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research. The journal provides a platform to publish original research in structural and functional imaging.
The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods. Technical, theoretical, and clinical research in both normal and clinical populations is encouraged. Submissions describing methods, software, databases, replication studies as well as negative results are also considered.
The scope of the journal includes, but is not limited to, the following in the context of biomedical research:
Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.;
Neuromodulation and brain stimulation techniques such as TMS and tDCS;
Software and hardware for imaging, especially related to human and animal health;
Image segmentation in normal and clinical populations;
Pattern analysis and classification using machine learning techniques;
Computational modeling and analysis;
Brain connectivity and connectomics;
Systems-level characterization of brain function;
Neural networks and neurorobotics;
Computer vision, based on human/animal physiology;
Brain-computer interface (BCI) technology;
Big data, databasing and data mining.