Stroke pattern classification during manual wheelchair propulsion in the elderly using fuzzy clustering

Aïssaoui, Rachid; Desroches, Guillaume

doi:10.1016/j.jbiomech.2008.05.020

Cited by 7 publications

(4 citation statements)

References 28 publications

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“…Early studies relied on a single rater system (e.g., Boninger et al, 2002), but recent investigations have attempted to minimize the influence of subjectivity by using a multiple rater classification procedure (Koontz et al, 2009; Kwarciak et al, 2012). One study used a set of quantitative parameters and data clustering techniques to distinguish between pattern types (Aissaoui and Desroches, 2008). However, while their investigation revealed four distinct pattern types, three resembled variants of AR and the fourth resembled SL.…”

Section: Introductionmentioning

confidence: 99%

The influence of speed and grade on wheelchair propulsion hand pattern

Slowik

Requejo

Mulroy

et al. 2015

Clinical Biomechanics

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Background The hand pattern used during manual wheelchair propulsion (i.e., full-cycle hand path) can provide insight into an individual's propulsion technique. However, previous analyses of hand patterns have been limited by their focus on a single propulsion condition and reliance on subjective qualitative characterization methods. The purpose of this study was to develop a set of objective quantitative parameters to characterize hand patterns and determine the influence of propulsion speed and grade of incline on the patterns preferred by manual wheelchair users. Methods Kinematic and kinetic data were collected from 170 experienced manual wheelchair users on an ergometer during three conditions: level propulsion at their self-selected speed, level propulsion at their fastest comfortable speed, and graded propulsion (8%) at their level self-selected speed. Hand patterns were quantified using a set of objective parameters and differences across conditions were identified. Findings Increased propulsion speed resulted in a shift away from under-rim hand patterns. Increased grade of incline resulted in the hand remaining near the handrim throughout the cycle. Interpretation Manual wheelchair users change their hand pattern based on task-specific constraints and goals. Further work is needed to investigate how differences between hand patterns influence upper extremity demand and potentially lead to the development of overuse injuries and pain.

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Section: Introductionmentioning

confidence: 99%

The influence of speed and grade on wheelchair propulsion hand pattern

Slowik

Requejo

Mulroy

et al. 2015

Clinical Biomechanics

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“…This finding may also raise several concerns, particularly with respect to increased repetitions in propulsion patterns, which can lead to overuse injuries [22][23]. Future research using biomechanical and physiological methods Relationship between variables for (a) manual wheelchair (age and propulsion velocity) and (b) power wheelchair groups (age and driving velocity) to examine these issues within a controlled environment is required for evaluating this assumption.…”

Section: Discussionmentioning

confidence: 99%

“…Future research using biomechanical and physiological methods Relationship between variables for (a) manual wheelchair (age and propulsion velocity) and (b) power wheelchair groups (age and driving velocity) to examine these issues within a controlled environment is required for evaluating this assumption. Understanding that older adults propel wheelchairs at a slower speed is also important for future research, since some of the previously conducted studies (in laboratory environments) have had selected propulsion velocities that are much higher than the rates of natural propulsion patterns of older adults [22,24].…”

Section: Discussionmentioning

confidence: 99%

Analyzing wheelchair mobility patterns of community-dwelling older adults

Karmarkar¹,

Cooper²,

Wang³

et al. 2011

JRRD

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Abstract-This study determined and compared wheelchair mobility patterns for older adults during an organized sporting event and within their community. In July 2008, 39 veterans participating in the 28th National Veterans Wheelchair Games (Omaha, Nebraska) completed the study. Of these, 26 were manual wheelchair and 13 were power wheelchair users. We collected wheelchair-related mobility data using wheelchair data-logging devices. Participants were significantly more active using manual wheelchairs during the games than when using their wheelchairs in their homes in terms of distance traveled (4,466.2 vs 1,367.4 m, p < 0.001) and average speed of propulsion (0.76 vs 0.64 m/s, p < 0.001). The trend was the same for power wheelchair users, with respect to distance (7,306.2 vs 3,450.5 m, p = 0.004) and average speed (0.9 vs 0.7 m/s, p = 0.002). This study demonstrates an objective method of evaluating wheelchair use in communitydwelling older adults.

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“…[3134] Fuzzy clustering method has also been applied on stroke patients to analyze different biomechanical forces and devise an effective rehabilitation program according to their specific requirements. [2]…”

Section: Fuzzy Logic In Neurosciencesmentioning

confidence: 99%

Fuzzy logic: A "simple" solution for complexities in neurosciences?

Godil¹,

Shamim²,

Enam³

et al. 2011

Surg Neurol Int

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Background:Fuzzy logic is a multi-valued logic which is similar to human thinking and interpretation. It has the potential of combining human heuristics into computer-assisted decision making, which is applicable to individual patients as it takes into account all the factors and complexities of individuals. Fuzzy logic has been applied in all disciplines of medicine in some form and recently its applicability in neurosciences has also gained momentum.Methods:This review focuses on the use of this concept in various branches of neurosciences including basic neuroscience, neurology, neurosurgery, psychiatry and psychology.Results:The applicability of fuzzy logic is not limited to research related to neuroanatomy, imaging nerve fibers and understanding neurophysiology, but it is also a sensitive and specific tool for interpretation of EEGs, EMGs and MRIs and an effective controller device in intensive care units. It has been used for risk stratification of stroke, diagnosis of different psychiatric illnesses and even planning neurosurgical procedures.Conclusions:In the future, fuzzy logic has the potential of becoming the basis of all clinical decision making and our understanding of neurosciences.

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Stroke pattern classification during manual wheelchair propulsion in the elderly using fuzzy clustering

Cited by 7 publications

References 28 publications

The influence of speed and grade on wheelchair propulsion hand pattern

The influence of speed and grade on wheelchair propulsion hand pattern

Analyzing wheelchair mobility patterns of community-dwelling older adults

Fuzzy logic: A "simple" solution for complexities in neurosciences?

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