Movement Smoothness Changes during Stroke Recovery

Rohrer, Brandon R.; Fasoli, Susan E.; Krebs, Hermano Igo; Hughes, Richard L.; Volpe, Bruce T.; Frontera, Walter R.; Stein, Joel; Hogan, Neville

doi:10.1523/jneurosci.22-18-08297.2002

Cited by 665 publications

(690 citation statements)

References 42 publications

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“…2a). This metric was applied frequently in literature during reaching movements (Cacho etal., 2011;Chang et al, 2005;Fasoli et al, 2002;Merlo et al, 2013;Rohrer et al, 2002) and ADL (Butler et al, 2010;Murphy etal., 2011Murphy etal., , 2013. Peak number was called movement units by several authors (Murphy et al, 2011(Murphy et al, , 2013Rohrer etal., 2002).…”

Section: -Number Of Velocity Peaksmentioning

confidence: 99%

“…The most frequently used parameter was the maximum hand velocity ( , 2007, 2008). Other studies analyzed only the mean hand velocity during the movement (Bosecker et al, 2010;Celik et al, 2010;Colombo et al, 2005Colombo et al, , 2012Rohrer et al, 2002;Zariffa et al, 2012). People with movement disorders after neurological injury perform the movements with several peaks in the hand velocity profile.…”

Section: Movement Speedmentioning

confidence: 99%

“…In a healthy subject this value should be close to one, but in the presence of movement disorders this metric could detect alterations during the movement pattern related to various acceleration and deceleration periods or the presence of brisk movements (Merlo et al, 2013). Several studies proposed this metric during reaching movements (Bosecker et al, 2010;Merlo et al, 2013;Rohrer et al, 2002;Zariffa et al, 2012) and path drawing (Bosecker et al, 2010). …”

Section: -Spatial Overshootmentioning

confidence: 99%

“…With the presence of movement disorders, the velocity peak number increases resulting in a less smooth movement. If any motor recovery occurs, the velocity profile of the hand movement must present less peaks resulting in a smoother movement (Rohrer et al, 2002). …”

Section: -Number Of Velocity Peaksmentioning

confidence: 99%

“…In people with movement disorders, while performing a movement toward an objective, several stops usually occur. This produces a movement with several submovements with several periods of practically zero velocity (Rohrer et al, 2002). With recovery, a movement has less unnecessary stops and therefore the movement is smoother.…”

Section: -Mean Arrest Period Ratiomentioning

confidence: 99%

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Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

Reyes-Guzmán¹,

Dimbwadyo-Terrer²,

Trincado-Alonso³

et al. 2014

Clinical Biomechanics

161

154

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Background: Quantitative measures of human movement quality are important for discriminating healthy and pathological conditions and for expressing the outcomes and clinically important changes in subjects' functional state. However the most frequently used instruments for the upper extremity functional assessment are clinical scales, that previously have been standardized and validated, but have a high subjective component depending on the observer who scores the test. But they are not enough to assess motor strategies used during movements, and their use in combination with other more objective measures is necessary. The objective of the present review is to provide an overview on objective metrics found in literature with the aim of quantifying the upper extremity performance during functional tasks, regardless of the equipment or system used for registering kinematic data. Methods: A search in Medline, Google Scholar and IEEE Xplore databases was performed following a combination of a series of keywords. The full scientific papers that fulfilled the inclusion criteria were included in the review. Findings: A set of kinematic metrics was found in literature in relation to joint displacements, analysis of hand trajectories and velocity profiles. These metrics were classified into different categories according to the movement characteristic that was being measured. Interpretation: These kinematic metrics provide the starting point for a proposed objective metrics for the functional assessment of the upper extremity in people with movement disorders as a consequence of neurological injuries. Potential areas of future and further research are presented in the Discussion section.

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Section: -Number Of Velocity Peaksmentioning

confidence: 99%

Section: Movement Speedmentioning

confidence: 99%

Section: -Spatial Overshootmentioning

confidence: 99%

Section: -Number Of Velocity Peaksmentioning

confidence: 99%

Section: -Mean Arrest Period Ratiomentioning

confidence: 99%

See 3 more Smart Citations

Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

Reyes-Guzmán¹,

Dimbwadyo-Terrer²,

Trincado-Alonso³

et al. 2014

Clinical Biomechanics

161

154

View full text Add to dashboard Cite

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Robotic Devices as Therapeutic and Diagnostic Tools for Stroke Recovery

Volpe¹,

Huerta²,

Zipse³

et al. 2009

Arch Neurol

Self Cite

107

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Robotic Rehabilitation Therapy

Krebs

Hogan

2006

Wiley Encyclopedia of Biomedical Engineering

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The demand for rehabilitation services is growing apace with the graying of the population, with the number of senior citizens 65 years of age and older projected to increase by 88% in the coming years. With this increase in the number of senior citizens comes increased incidence of age‐related pathologies including cerebral vascular accident (stroke). This situation creates both a need and an opportunity to deploy technologies such as robotics to assist recovery. In this chapter, the authors focus on the use of robotics to aid recovery after stroke, but the knowledge and know‐how may apply similarly to other diseases and afflictions. The authors focus solely on robots that support and enhance the productivity of clinicians in their efforts to facilitate a disabled individual's recovery. An overview of existing rehabilitation robots for the upper and lower extremity, of technology limitations, of design choices, and of clinical results is presented. The focus of the remainder of the chapter is on clinical results and on the biology of neuro‐recovery. This new class of interactive robotic devices, together with the understanding of its potentials and limitations, are poised to strongly influence how rehabilitation medicine will be practiced in the twenty‐first century.

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Movement Smoothness Changes during Stroke Recovery

Cited by 665 publications

References 42 publications

Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

Robotic Devices as Therapeutic and Diagnostic Tools for Stroke Recovery

Robotic Rehabilitation Therapy

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