View clinical trials related to Stroke, Ischemic.
Filter by:The goal of this study is to to evaluate the effect and feasibility of a rehabilitation protocol with prismatic lenses associated with tDCS, compared to a prismatic lens rehabilitation protocol associated with sham stimulation, in reducing the signs of neglect in a group of patients with spatial heminegligence following ischemic stroke of the right hemisphere. The secondary objective is to evaluate the impact of this rehabilitation protocol on functional outcome.
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.
Upper limb motor impairment is one of the most common sequelae after stroke. Indeed, the recovery of upper limb sensory-motor functions remains one of the most important goals in stroke rehabilitation. In the last years, new approaches in neurorehabilitation field has been investigated to enhance motor recovery. The use of wearable devices combined with surface electromyography (i.e. sEMG) electrodes allows to detect patients muscle activation during motor performance. Moreover, sEMG is used to provide to the patients the biofeedback about their muscle activity during exercises execution to enhance motor control and motor recovery. The aim of the study is to define the efficacy of using REMO® (Morecognition srl, Turin,Italy) for hand motor recovery after stroke. A randomised-controlled trial will be conducted compared to a task-oriented training, in hand motor rehabilitation after stroke. 28 patients with diagnosis of first stroke event will be enrolled in this study. After randomization process, participants will be allocated in Experimental Group (REMO training) or in Control Group (task-oriented training). The participants will be assessed before and after the treatment and sEMG will be collected during 12 hand movements. The treatment will consist of 15 sessions (1h/day, 5day/week, 3 weeks). Finally, the sEMG of the same 12 hand movements will be collected from 15 healthy subjects to compare muscle activation with a normal reference model.
In this study, the effectiveness of vagus nerve stimulation in patients with right and left hemiparesis will be compared with each other and with the sham application.
Atrial Fibrillation (AF) is an abnormal heart rhythm. Because AF is often asymptomatic, it often remains undiagnosed in the early stages. Anticoagulant therapy greatly reduces the risks of stroke in patients diagnosed with AF. However, diagnosis of AF requires long-term ambulatory monitoring procedures that are burdensome and/or expensive. Smart devices (such as Apple or Fitbit) use light sensors (called "photoplethysmography" or PPG) and motion sensors (called "accelerometers") to continuously record biometric data, including heart rhythm. Smart devices are already widely adopted. This study seeks to validate an investigational machine-learning software (also called "algorithms") for the long-term monitoring and detection of abnormal cardiac rhythms using biometric data collected from consumer smart devices. The research team aims to enroll 500 subjects who are being followed after a stroke event of uncertain cause at the Emory Stroke Center. Subjects will undergo standard long-term cardiac monitoring (ECG), using FDA-approved wearable devices fitted with skin electrodes or implantable continuous recorders, and backed by FDA-approved software for abnormal rhythm detection. Patients will wear a study-provided consumer wrist device at home, for the 30 days of ECG monitoring, 23 hours a day. At the end of the 30 days, the device data will be uploaded to a secure cloud server and will be analyzed offline using proprietary software (called "algorithms") and artificial intelligence strategies. Detection of AF events using the investigational algorithms will be compared to the results from the standard monitoring to assess their reliability. Attention will be paid to recorded motion artifacts that can affect the quality and reliability of recorded signals. The ultimate aim is to establish that smart devices can potentially be used for monitoring purposes when used with specialized algorithms. Smart devices could offer an affordable alternative to standard-of-care cardiac monitoring.
The purpose of this study is to demonstrate the effectiveness and safety of CVA-FLOW, a digital health AI based Telestroke system developed by CVAID Ltd. Company aims to assist certified medical staff to triage acute ischemic stroke patients using dedicated algorithms in order to support application for market approval for CVA-FLOW device.
This study will determine the acceptability of delivering seated exercises online and if seated exercises can improve balance, mobility, quality of life, and cardiometabolic health in those living with a stroke related mobility impairment. Participants will be allocated to either a 10-week seated exercise program or a delayed 2-week Boot Camp program. All seated exercises sessions and assessments will be conducted virtually.
The aim of the study was to establish tenecteplase thrombolysis database and to investigate the effectiveness and safety of rhTNK-tPA in acute ischemic stroke patients.
Stroke is one of the most threatening causes of mortality and disability worldwide. High risk non-disabling ischemic cerebrovascular events (HR-NICE), defined by mild stroke complicating with greater than 50% atherosclerotic stenosis in intracranial or extracranial arteries, is more likely to develop severe stroke in future. Currently, the clinical treatment for HR-NICE patients is limited to dual antiplatelet therapy or endovascular treatment, both of which are taken controversially due to the side effect or high risk. Enhanced external counterpulsation (EECP) is an established non-invasive treatment for circulatory support. By inflating repeatedly and sequentially from calves to hips in the early diastolic phase of every cardiac cycle, EECP has been demonstrated to increase the shear stress of blood vessels, enhance the collateral circulation and improve brain perfusion in patients with stroke. However, few studies have devoted exclusively to patients with HR-NICE. It is not clear whether EECP can improve the clinical performance or reduce the rate of recurrent stroke in 90 days. In this trial, HR-NICE patients will be divided into two groups according to true or sham EECP treatment. Based on multi-model magnetic resonance imaging, the investigators explore the central neural characteristic before and after EECP treatment.
The present study is an investigator initiated, single-centre, prospective, proof-of-concept cohort study aiming to enroll 44 patients with acute middle cerebral artery (MCA) ischemic stroke, involving the right (n=22) and left (n=22) MCA territories and 24 control patients with acute focal neurological symptoms but no evidence of acute brain infarct on DWI-MRI.