Cardiovascular

Strokes

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

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Long-term Effectiveness of Intensive Therapy in Chronic Stroke.

Background While recent clinical trials involving robot-assisted therapy have failed to show clinica...

Voxel-based Gaussian naïve Bayes classification of ischemic stroke lesions in individual T1-weighted MRI scans.

BACKGROUND: Manual lesion delineation by an expert is the standard for lesion identification in MRI ...

Feasibility of cardiopulmonary exercise testing and training using a robotics-assisted tilt table in dependent-ambulatory stroke patients.

BACKGROUND: We evaluated the feasibility of an augmented robotics-assisted tilt table (RATT) for inc...

Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

We present the design, and analyze the performance of a multi-stage natural language processing syst...

Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

Several neurobiological factors have been found to correlate with functional recovery after brain le...

Clinical usefulness and validity of robotic measures of reaching movement in hemiparetic stroke patients.

BACKGROUND: Various robotic technologies have been developed recently for objective and quantitative...

Robotic therapy for chronic stroke: general recovery of impairment or improved task-specific skill?

There is a great need to develop new approaches for rehabilitation of the upper limb after stroke. R...

Infraclavicular first rib resection for the treatment of acute venous thoracic outlet syndrome.

OBJECTIVE: Venous thoracic outlet syndrome (VTOS) is most commonly treated by transaxillary, supracl...

Evaluation of transesophageal echocardiography in detecting cardiac sources of emboli in ischemic stroke patients.

BACKGROUND: Embolus is one of the causes of ischemic stroke that can be due to cardiac sources such ...

Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Heart disease is the leading cause of death globally and a significant part of the human population ...

The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study.

BACKGROUND: Stroke significantly affects thousands of individuals annually, leading to considerable ...

Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...

A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.

Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduc...

Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial.

BACKGROUND: While constraint-induced movement therapy (CIMT) is one of the most promising techniques...

Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept.

A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute po...

Upper-limb kinematic reconstruction during stroke robot-aided therapy.

The paper proposes a novel method for an accurate and unobtrusive reconstruction of the upper-limb k...

Corrugated paraffin nanocomposite films as large stroke thermal actuators and self-activating thermal interfaces.

High performance active materials are of rapidly growing interest for applications including soft ro...

An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation.

This paper presents a novel electromyography (EMG)-driven hand exoskeleton for bilateral rehabilitat...

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