View clinical trials related to Paralysis.
Filter by:A previous study completed in 2022 (NCT05158179) was conducted using cohorts of healthy controls, and adults with general laryngopharyngeal disorders. This study will expand on the previous research to include a separate cohort of adults being seen in clinic for an existing laryngopharyngeal disorder resulting from previous radiation or other cancer treatments.
Unilateral Cerebral palsy (UCP) is the most common neurological chronic disease in childhood with a significant burden on children, their families and health care system. AInCP aims to develop evidence-based clinical Decision Support Tools (DST) for personalized functional diagnosis, Upper Limb (UpL) assessment and home-based intervention for children with UCP, by developing, testing and validating trustworthy Artificial Intelligence (AI) and cost-effective strategies. The AInCP approach will: i) establish a clinical diagnosis and accurate prognosis for treatment response of individual UCP profiles, by employing a multimodal approach including clinical phenotyping, advanced brain imaging and real-life monitoring of UpL function, and ii) provide personalized home-based treatment, from advanced ICT and AI technologies. The AInCP will build upon personalized diagnostic and rehabilitative DST (dDST and rDST) to be developed and validated through large observational and rehabilitation studies, including at least 200 and 150 children with UCP, respectively. Using data driven and AI approach, dDST and rDST will be combined for developing a theranostic DST (tDST) that will allow the re-designing of an economical, ethical, sustainable decision-making process for delivering a personalized and validated approach, focused on the care, monitoring and rehabilitation of UpL in children with UCP. AInCP is a significant example of a transdisciplinary approach, where all project collaborators (clinicians, data scientists, physicists, engineers, economists, ethicists, SMEs, children and parent associations) will work closely together in building the AInCP approach. This approach will, therefore, hinge on transdisciplinary contributions, multi- dimensional data, sets of innovative devices and fair AI-based algorithms, clinically effective and able to reduce users? and market barriers of acceptability, reimbursability and adoption of the proposed solution.
The goal of this clinical trial is to test the effectiveness of a trunk and upper extremities exercise program. The main questions it aims to answer are: Whether the program decreases compensation patterns in unilateral cerebral palsy children Whether the program decreases pain in unilateral cerebral palsy children Whether the program improves bimanual ability in unilateral cerebral palsy children Participants will undertake and 8-week program exercise at home If there is a comparison group: Researchers will compare with the control group to see if this program decreases compensation patterns.
Bell palsy (BP) is the most common cause of acute facial palsy, which leads to functional and esthetic disturbances for patients and results in a lowered quality of life. Electroacupuncture (EA) received attention as an alternative and complementary treatment method. The low-frequency continuous wave EA and the intermittent wave EA have been used in the management of BP. The aim of this study is to compare the efficacy and safety of these two electroacupuncture waveforms for different severity groups of BP.
In 2022, the prevalence of Cerebral Palsy (CP) is 2.5 cases per 1000 live births. In France, 125,000 persons are affected by CP. Many treatments and therapies exist to reduce CP-related disorders, but CP remains uncurable. Motor Rehabilitation Courses (MRC) are one of those therapies used with children with CP. Their uses has not been studied in France yet. The aim of this survey is to find out about the use of motor rehabilitation courses for children with CP and, where appropriate, the content of these courses. This questionnaire will be used to determine the use and different types of MRS in which children participate.
Cerebral palsy (CP) is defined as a disorder of the developing brain that causes movement disorders and may be associated with other neurologically based disorders. Gait abnormalities are a direct result of damage to the motor areas of the brain and include symptoms such as spasticity, dystonia, weakness, loss of selective muscle control, dependence on primitive reflexes, abnormal muscle and inadequate balance reactions. Walking backwards during activities of daily living is as important as walking forward. Some of these activities are stepping back towards the chair, stepping back when opening the door and pulling the door, reflexively leaning back when suddenly encountering an obstacle or uneven ground. In addition, backward walking is defined as a more complex activity that requires more neuromuscular control, proprioception sense, and protective reflex activation than forward walking. Selective motor control is an essential part of typical human movement, allowing for smooth and discrete control of joint movement. Impaired selective motor control causes abnormal reciprocal muscle activations or involuntary combined movements, leading to difficulties with coordination, balance, walking efficiency, and symmetry. Impaired selective motor control is associated with poor gross motor function and balance control, severe general gait deviations, and decreased walking speed. The aim of this study is to examine the relationship between forward and backward walking and selective motor control, trunk control and balance in children with cerebral palsy.
This research study is being done to develop a novel brain-computer interface (BCI) technology that can enable severely paralyzed individuals to interact with the world through direct brain-control of a computer. This technology is named MindEx (for Mind Extender). It utilizes four implanted "chips" in the human brain from which investigators can record brain activity during subjects' thoughts and decode meaningful information from this activity to be used as control signals for a computer, a laptop, or a tablet. The use of four brain regions is a significant differentiating feature and scientific innovation of this study over much prior work in this space, that typically derived control signals from one, or sometimes two brain regions. The brain regions to be used here can allow the decode of multiple variables simultaneously, including not just moment-to-moment position, but also high-level goals, intentions, decisions, scene comprehension, and error-related signals involved in natural human behavior. The research is being done through a prospective, longitudinal, single-arm early feasibility study to examine the safety and effectiveness of using MindEx to provide the user an intuitive, efficient, and accurate ability to control multiple applications on a computer interface such as a word processor, a paint application, or to play simple video games. Such versatility could greatly improve the autonomy and quality of life of severely paralyzed individuals. Two subjects will be enrolled, each implanted with MindEx for a period of at least 53 weeks and up to 313 weeks. The study is expected to take at least one year and up to six years in total.
The purpose of this study was to investigate the effects of exoskeleton robot gait training on activities of daily living, gross motor function evaluation, balance and walking ability in adolescents with cerebral palsy.
To examine if adding plyometric exercises to sensorimotor exercises would improve respiratory function in children and adolescents with cerebral palsy
Despite emerging efforts to decrease residual paralysis and postoperative complications with the use of quantitative neuromuscular monitoring and reversal agents their incidences remain high. In an optimal setting, neuromuscular blocking agents are dosed in a way that there is no residual block at the end of surgery. The effect of neuromuscular blocking agents, however, is highly variable and is not only influenced by their dose, but also by several patient-related factors such as muscle status, metabolic activity, and anesthesia management. Accordingly, the duration of action is difficult to predict. The PINES project will use artificial intelligence methods to develop a model that can accurately predict the course of action of neuromuscular blocking agents. It will be used to predict time to complete neuromuscular recovery (train-of-four [TOF] ratio >0.95) and may provide as a decision support in the individual management of timing and dosing of neuromuscular blocking drugs and their reversal agents.