Disability after stroke is a major burden on society, due to its high incidence and prevalence. Among the priorities of rehabilitation programs, stroke rehabilitation aims to regain independence and improve patients’ quality of life. Dynamic balance, falls prevention and upper limb recovery are essential features for the clinical management of hemiparetic patients. To optimize movement recovery after stroke, it is essential to select multilevel outcome measures for interpretation of motor recovery and clinical decision-making. In this context, the assessment of movement by means of quantitative movement analysis in hemiparetic post-stroke patients is key to planning rehabilitative intervention. Kinematic analysis facilitates interpreting the extent and mechanisms of motor restoration, and it has been increasingly applied in neurological research.
Although quantitative biomechanical approaches are objective, sensitive, and quantitative, their associations with clinical measures have not been fully studied. For example, some disease-specific clinical scales include gait assessment items or validated upper extremity scales on body function and activity, but do not investigate the mechanism and association with kinematic data related to the specific movement. Thus, the goal of this Research Topic is to provide a quantitative evaluation of the relationship between lower or upper extremity biomechanics (kinematic, kinetics and/or emg data) and clinical scores to deeply investigate the associated motor dysfunction of stroke-related movement disabilities is critical to improve our understanding and expand interventional strategies to minimize long-term consequences due to stroke.
We welcome authors submitting different types of manuscripts (Original Research papers, Reviews etc.) that focus on, but are not limited to, the following topics:
• Biomechanics and movement analysis in stroke patients
• Rehabilitation programs for stroke patients and their quantitative outcomes
• Innovative data analysis and models to study the mechanisms of motor restoration
Disability after stroke is a major burden on society, due to its high incidence and prevalence. Among the priorities of rehabilitation programs, stroke rehabilitation aims to regain independence and improve patients’ quality of life. Dynamic balance, falls prevention and upper limb recovery are essential features for the clinical management of hemiparetic patients. To optimize movement recovery after stroke, it is essential to select multilevel outcome measures for interpretation of motor recovery and clinical decision-making. In this context, the assessment of movement by means of quantitative movement analysis in hemiparetic post-stroke patients is key to planning rehabilitative intervention. Kinematic analysis facilitates interpreting the extent and mechanisms of motor restoration, and it has been increasingly applied in neurological research.
Although quantitative biomechanical approaches are objective, sensitive, and quantitative, their associations with clinical measures have not been fully studied. For example, some disease-specific clinical scales include gait assessment items or validated upper extremity scales on body function and activity, but do not investigate the mechanism and association with kinematic data related to the specific movement. Thus, the goal of this Research Topic is to provide a quantitative evaluation of the relationship between lower or upper extremity biomechanics (kinematic, kinetics and/or emg data) and clinical scores to deeply investigate the associated motor dysfunction of stroke-related movement disabilities is critical to improve our understanding and expand interventional strategies to minimize long-term consequences due to stroke.
We welcome authors submitting different types of manuscripts (Original Research papers, Reviews etc.) that focus on, but are not limited to, the following topics:
• Biomechanics and movement analysis in stroke patients
• Rehabilitation programs for stroke patients and their quantitative outcomes
• Innovative data analysis and models to study the mechanisms of motor restoration
