Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.

MOTIVATION: The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular d...

Recovery and compensation after robotic assisted gait training in chronic stroke survivors.

Gait re-education is a primary rehabilitation goal after stroke. In the last decades, robots with d...

Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning.

BACKGROUND AND PURPOSE: Treatment options for patients with acute ischemic stroke depend on the volu...

Mechanism & inhibition kinetics of bioassay-guided fractions of Indian medicinal plants and foods as ACE inhibitors.

Hypertension is a becoming a major threat to the world. Angiotensin converting enzyme (ACE) is a key...

Evolution of upper limb kinematics four years after subacute robot-assisted rehabilitation in stroke patients.

To assess functional status and robot-based kinematic measures four years after subacute robot-assi...

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

This study evaluates and compares the performance of different machine learning techniques on predic...

Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features.

Models have been developed to predict stroke outcomes (e.g., mortality) in attempt to provide better...

Feasibility of robot-based perturbed-balance training during treadmill walking in a high-functioning chronic stroke subject: a case-control study.

BACKGROUND: For stroke survivors, balance deficits that persist after the completion of the rehabili...

Dynamic Modeling and Interactive Performance of PARM: A Parallel Upper-Limb Rehabilitation Robot Using Impedance Control for Patients after Stroke.

The robot-assisted therapy has been demonstrated to be effective in the improvements of limb functio...

Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients.

Motor imagery-based brain-computer interfaces (BCI) have shown potential for the rehabilitation of s...

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets.

Acute ischemic stroke is recognized as a common cerebral vascular disease in aging people. Accurate ...

Early robot-assisted gait retraining in non-ambulatory patients with stroke: a single blind randomized controlled trial.

BACKGROUND: Restoration of walking function is a primary concern of neurorehabilitation with respect...

Stroke localization and classification using microwave tomography with k-means clustering and support vector machine.

For any chance for stroke patients to survive, the stroke type should be classified to enable giving...

Development of a New Robotic Ankle Rehabilitation Platform for Hemiplegic Patients after Stroke.

A large amount of hemiplegic survivors are suffering from motor impairment. Ankle rehabilitation exe...

Biomechanical mechanisms underlying exosuit-induced improvements in walking economy after stroke.

Stroke-induced hemiparetic gait is characteristically asymmetric and metabolically expensive. Weakne...

A Poincare map based analysis of stroke patients' walking after a rehabilitation by a robot.

Since the past decade, rehabilitation robots have become common technologies for recovering gait abi...

Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients.

Ischemic stroke is a leading cause of disability and death worldwide among adults. The individual pr...

Predictors of activities of daily living outcomes after upper limb robot-assisted therapy in subacute stroke patients.

BACKGROUND: Upper limb recovery is one of the main goals of post-stroke rehabilitation due to its im...

Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study.

OBJECTIVE: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in...

Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RA...

Kinematic measures for upper limb robot-assisted therapy following stroke and correlations with clinical outcome measures: A review.

AIM OF THE STUDY: This review classifies the kinematic measures used to evaluate post-stroke motor i...

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