Computational Assessment of Hand Motor Skills in Stroke Patients

Computational Assessment of Hand Motor Skills in Stroke Patients

This is a two phase prospective observational study that aims to validate the use of a motion capture software (Leap Motion) to measure and quantify functional deficits of the hand in stroke patients using a standard battery of exercises. The objectives of this study are:

1. To compare the differences between results of hand kinematic computational analysis in patients with ischemic stroke and healthy subjects.
2. To analyze the relation between hand kinematic computational analysis and clinical scales usually performed to evalutate neurologic deficits in stroke patients.
3. To analyze the relation between hand kinematic computational analysis and stroke lesion on brain MRI.
4. To analyze changes between results of hand kinematic computational analysis in the acute phase of stroke and at three months, and its relation with evolution of neurological evaluation clinical scales, functional clinical scales and quality of life.

Inclusion Criteria:

• Stroke patients: clinically stable, with hand functional deficit at the momment they consent to participate in the study. Signed consent to participate.
• Healthy subjects: similar age to stroke patients, without previous clinical history of stroke or any disease that could affect hand motor skills. Signed consent to participate.

Exclusion Criteria:

• Aphasia or cognitive impairment, confusional syndrome or other conditions that could prevent comprehension and acomplishment of the task.
• Plegia or severe paresis of the hand that could prevent adecuate performance of the task.
• Previous stroke.
• Previous dependance.
• Previous diagnosis of any other neurologic disease or condition that could affect hand motricity.
• Life expectancy below three months.