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نتیجه جستجو - فلج مغزی

تعداد مقالات یافته شده: 3
ردیف عنوان نوع
1 The future of General Movement Assessment: The role of computer vision and machine learning – A scoping review
آینده ارزیابی جنبش عمومی: نقش بینایی رایانه و یادگیری ماشین - مروری بر محدوده-2021
Background: The clinical and scientific value of Prechtl general movement assessment (GMA) has been increasingly recognised, which has extended beyond the detection of cerebral palsy throughout the years. With advancing computer science, a surging interest in developing automated GMA emerges. Aims: In this scoping review, we focused on video-based approaches, since it remains authentic to the non-intrusive principle of the classic GMA. Specifically, we aimed to provide an overview of recent video-based approaches targeting GMs; identify their techniques for movement detection and classification; examine if the technological solutions conform to the fundamental concepts of GMA; and discuss the challenges of developing automated GMA. Methods and procedures: We performed a systematic search for computer vision-based studies on GMs. Outcomes and results: We identified 40 peer-reviewed articles, most (n = 30) were published between 2017 and 2020. A wide variety of sensing, tracking, detection, and classification tools for computer vision-based GMA were found. Only a small portion of these studies applied deep learning approaches. A comprehensive comparison between data acquisition and sensing setups across the reviewed studies, highlighting limitations and advantages of each modality in performing automated GMA is provided. Conclusions and implications: A “method-of-choice” for automated GMA does not exist. Besides creating large datasets, understanding the fundamental concepts and prerequisites of GMA is necessary for developing automated solutions. Future research shall look beyond the narrow field of detecting cerebral palsy and open up to the full potential of applying GMA to enable an even broader application.
Keywords: Augmented general movement assessment | Automation | Cerebral palsy | Computer vision | Deep learning | Developmental disorder | Early detection | General movements | Infancy | Machine learning | Neurodevelopment | Pose estimation
مقاله انگلیسی
2 Human-computer interaction for users with cerebral palsy based on head orientation: Can cursor ’s movement be modeled by Fitts ’s law?
تعامل انسان و کامپیوتر برای کاربران مبتلا به فلج مغزی بر اساس جهت گیری سر: آیا جنبش مکان نما را می توان با قانون Fitts مدل کرد؟-2017
This paper presents an experiment to validate a head-mounted inertial interface for human-computer interaction (HCI) developed for people with cerebral palsy (CP). The method is based on Fitts ’s law, an empirical model of human motor performance for aimed movements. Head motion is recorded in a series of goal-crossing tasks and a regression model of the movement time ( MT ) is estimated for each user. Values of R 2 above 0.9 are indicators of a strong correlation of those motion patterns with the linear model proposed by Fitts. The analysis of MT confirmed that head movements of users without disability follow Fitts ’s law and showed that 3 users with CP (MACS IV and V) had the same behavior. There was a weaker correlation ( R 2 = 0.839) for one individual with cervical dystonia and ballistic movements and no correlation for two users with cervical hypotonia and dyskinetic CP. Results show the impact of ballistic movements and poor postural control in computer interaction. They also provide the foundation for new interaction techniques to develop a universal computer interface for motor impaired users. ©2017 Elsevier Ltd. All rights reserved.
Keywords: Fitts ’s law | Inertial sensor | Human-computer interaction | Cerebral palsy | Motor disorder | Head orientation
مقاله انگلیسی
3 Interactive Scenario Development of Robot-assisted Therapy for Cerebral Palsy: A Face Validation Survey
توسعه سناریوی تعاملی درمان رباتی برای فلج مغزی: بررسی اعتبارسنجی صورت-2017
Humanoids have potential in the augmentation of rehabilitation programme for children with cerebral palsy. To make the humanoid programme applicable and clinically compliant, correct interactive scenarios had to be developed. Development of Human Robot Interaction (HRI) scenario is the main focus of this study. Through discussions with clinicians and therapists, four interactive scenarios have been formulated. The researchers have designed and developed the interactive scenarios concerning the suitability of measuring items in the Gross Motor Function Measure (GMFM) that is suitable to be applied by humanoid robot NAO. Choregraphe software, a programming tool that allows programmer to create and compile the behavior of the robot was used in this study. Choregraphe Suite is a multi-platform desktop application, to create animations, behaviors and dialogs. The developed interactive scenario had undergone a face validity process. This method of validation is used to confirm through peer reviews that the content of the interactive scenario is suitable to be used for children with cerebral palsy. Thirty peer reviewers, made up by a group of physiotherapists and occupational therapists validated the suitability of the interactive scenario. The result of the validation will be explained in this paper.© 2016 The Authors. Published by Elsevier B.V.Peer-review under responsibility of organizing committee of the 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS 2016).© 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Peer-review under responsibility of organizing committee of the 2016 IEEE International Symposium on Robotics and Intelligent Sensors(IRIS 2016).
Keywords: Human-robot interaction | humanoid robot | cerebral palsy | rehabilitation robot | social robot
مقاله انگلیسی
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