View clinical trials related to Stroke.
Filter by:The goal of this clinical trial is to investigate the impact of a technology-based meditation program in the inpatient stroke population. It will explore how this approach can support patient-centred, holistic, compassionate care by reducing symptoms of depression and anxiety and improving quality of life. Patients will be recruited from the inpatient stroke rehabilitation unit and will have sustained a stroke in the past 2 months. The main question[s] it aims to answer are: 1. Is using a technology-based meditation program in the prevention and/or improvement of post stroke depression and anxiety effective for inpatient stroke survivors? 2. Does using a technology-based meditation program support patient-centered, holistic and compassionate care and result in improved measures of quality of life? Those in the treatment arm will be asked to complete the following: - complete 2-3 scales on admission and discharge - participate in meditation therapy at least three times per week for a minimum of 10 minutes per session. Participate in education and demonstration of the meditation app and use of the iom2 device - use the iom2 (technology supported meditation and biofeedback) device to monitor heart rate variability and resonance scores - participate in an informal discussion re: experience with software and biofeedback In this randomized controlled trial, those allocated to the control group (standard care) will undergo their usual inpatient rehabilitation but will be asked to complete the outcome measures on admission and prior to hospital discharge.
Acute ischemic stroke (AIS) is responsible for considerable morbidity and mortality worldwide and has serious medico-economic and psychosocial consequences. Before the advent of mechanical thrombectomy (TM), care and telestroke networks had focused their efforts on the rapid administration of a thrombolytic agent, tissue plasminogen activator (tPA), intravenously ( IV), to all eligible patients with ischemic stroke. These care networks have been shown to improve both patient prognosis by improving early vascular recanalization, the overall quality of neurovascular care within the network, and costs at network hospitals. In 2015, the effectiveness of another treatment, TM, for some acute ischemic stroke patients with large vessel occlusion (LVO) created new challenges for the effective triage of suspected patients stroke, especially in the prehospital setting.Indeed, non-OLV patients should receive intravenous thrombolysis without delay and thus should be transported to the nearest facility with neurological capacity. thrombolysis.In contrast, the efficacy of thrombolysis remains limited for patients with LVO stroke who likely benefit from direct transport from the field to a comprehensive stroke center capable of performing TM. In these patients, stopping at a local center to initiate thrombolysis can delay revascularization and worsen the prognosis.These sorting strategy paradigms, called "mothership" and "drip and ship"
The investigators propose a pilot crossover trial of 2 behavioral language treatments, with randomized order of treatments and blinded assessors, to determine if a therapy designed to stimulate right hemisphere functions (Producing Increasingly Complex Themes Using Right-hemisphere Engagement Implemented with Telemedicine - PICTURE IT; described below) is more effective in improving discourse than a published computer delivered lexical treatment (shown previously to improve naming) in subacute post-stroke aphasia.
The goal of this clinical trial is to investigate the efficacy of mindfulness-based cognitive therapy compared to usual care for stroke survivors undergoing inpatient rehabilitation.
Stroke, one of the most common causes for acquired adult disability, is not only a burden for the individual but also for his or her close relatives and caregivers. Functional recovery is commonly associated with the re-acquisition of lost skills. This skill (re-)acquisition is separated into different phases during which learning takes place while the skill/movement is actively performed - so called online learning - or during the time of non-performance between the training - so called offline learning or consolidation. During the initial phase of training, performance improvements are commonly steep (online learning). During the following processes of consolidation, which often depend on sleep, memory traces are being modified and stored for long-term memory retention leading to a further improvement without additional training (offline learning). Previous studies focusing on individuals after stroke could show a beneficial effect of sleep on motor skill acquisition. As an intervention, transcranial electrical stimulation (tES) with motor tasks could show beneficial effects on motor skill acquisition. tES is a method to stimulate an area of the brain non-invasively and this is done by applying low voltage current to the scalp that lies in close proximity to the target brain region. In the current study, stimulation is performed during sleep and types of stimulation resemble natural sleep physiology: slow-wave and spindles. As slow-wave and spindles are shown to be important for memory consolidation, it is hypothesized that applying physiologically-inspired stimulation could enhance memory consolidation in individuals after stroke. It is known that patterns of sleep physiology change in older individuals, thus, this population is also investigated in the current study. It is interpreted and discussed that older individuals do not benefit from sleep as much as younger individuals do. Thus, it is hypothesized that applying physiologically-inspired stimulation could enhance memory consolidation in healthy older individuals.
The current multi-center study aims to evaluate the efficacy and safety of pBFS-guided rTMS Neuromodulation Treatment for the rehabilitation of language functions in ischemic stroke aphasic patients.
Over eighty percent of stroke patients experience finger-grasping dysfunction problems, compromising independence in daily life activities and quality of life. In routine training, task-oriented training is usually used for functional training of the hand, which may improve the finger grasping performance after stroke, whereby augmented therapy may lead to a better treatment outcome. Technology-supported training holds opportunities for increasing training intensity. However, most of the hand rehabilitation robots commonly used in the clinic are based on passive training mode and lacks the sensory feedback function of fingers, which is not conducive to patients completing more accurate grasping movements. The force feedback hand rehabilitation robot can make up for the above defects, but its clinical efficacy in stroke patients are not known to date. The aim of the present study was to investigate the effectiveness and added value of the force feedback hand rehabilitation robot combined with task-oriented training for stroke patients with hemiplegia.
With this study, it will be proven whether the Turkish version of the Stroke Exercise Preference Inventory is valid and reliable in evaluating the exercise preferences of individuals who have had a stroke.
In this study, musculoskeletal-related pain, posture, spine function, the condition of the low back and neck regions, musculoskeletal system disorders, fatigue, and quality of life will be examined in caregivers of rehabilitation patients.
After onset of Acute Ischemic Stroke (AIS), every minute of delay to treatment reduces the likelihood of a good clinical outcome. A key delay occurs in the time between completion of computed tomography (CT) angiography of the head and neck and interpretation in the setting of AIS care. The purpose of this study is to assess the effect of incorporating Viz.AI software, which via via a machine-learning algorithm performs artificial intelligence-based automated detection of large vessel occlusions (LVO) on CT angiography (CTA) images and alerts the AIS care team (diagnosis and treatment decisions will be based on the clinical evaluation and review of the images by the treating physician, per routine standard of care). The hypothesis is that integration of the software into the AIS care pathway will reduce delays in treatment. A cluster-randomized stepped-wedge trial will be performed across 4 hospitals in the greater Houston area.