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Jonathon W. Sensinger
University of New Brunswick
Control engineeringControl systemProsthesisInternal modelComputer science
23Publications
8H-index
124Citations
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Publications 5
Newest
#1Daniel Blustein (UNB: University of New Brunswick)H-Index: 4
#2Ahmed W. Shehata (U of A: University of Alberta)H-Index: 3
Last. Jonathon W. Sensinger (UNB: University of New Brunswick)H-Index: 8
view all 4 authors...
Research on human motor adaptation has often focused on how people adapt to self-generated or externally-influenced errors. Trial-by-trial adaptation is a person’s response to self-generated errors. Externally-influenced errors applied as catch-trial perturbations are used to calculate a person’s perturbation adaptation rate. Although these adaptation rates are sometimes compared to one another, we show through simulation and empirical data that the two metrics are distinct. We demonstrate that ...
1 CitationsSource
#1Ahmed W. Shehata (UNB: University of New Brunswick)H-Index: 3
#2Leonard F. Engels (Sant'Anna School of Advanced Studies)H-Index: 2
Last. Jonathon W. Sensinger (UNB: University of New Brunswick)H-Index: 8
view all 6 authors...
Background The loss of an arm presents a substantial challenge for upper limb amputees when performing activities of daily living. Myoelectric prosthetic devices partially replace lost hand functions; however, lack of sensory feedback and strong understanding of the myoelectric control system prevent prosthesis users from interacting with their environment effectively. Although most research in augmented sensory feedback has focused on real-time regulation, sensory feedback is also essential for...
Source
#1Ahmed W. Shehata (UNB: University of New Brunswick)H-Index: 3
#2Erik Scheme (UNB: University of New Brunswick)H-Index: 10
Last. Jonathon W. Sensinger (UNB: University of New Brunswick)H-Index: 8
view all 3 authors...
Myoelectric prosthetic devices are commonly used to help upper limb amputees perform activities of daily living, however amputees still lack the sensory feedback required to facilitate reliable and precise control. Augmented feedback may play an important role in affecting both short-term performance, through real-time regulation, and long-term performance, through the development of stronger internal models. In this work, we investigate the potential tradeoff between controllers that enable bet...
4 CitationsSource
#1Ahmed W. Shehata (UNB: University of New Brunswick)H-Index: 3
#2Erik Scheme (UNB: University of New Brunswick)H-Index: 10
Last. Jonathon W. Sensinger (UNB: University of New Brunswick)H-Index: 8
view all 3 authors...
On-going developments in myoelectric prosthesis control have provided prosthesis users with an assortment of control strategies that vary in reliability and performance. Many studies have focused on improving performance by providing feedback to the user but have overlooked the effect of this feedback on internal model development, which is key to improve long-term performance. In this paper, the strength of internal models developed for two commonly used myoelectric control strategies: raw cont...
12 CitationsSource
#1Ahmed W. Shehata (UNB: University of New Brunswick)H-Index: 3
#2Erik Scheme (UNB: University of New Brunswick)H-Index: 10
Last. Jonathon W. Sensinger (UNB: University of New Brunswick)H-Index: 8
view all 3 authors...
The long-term performance of myoelectric prostheses is related not only to the short-term performance of the controller, but also to the user's ability to learn and adapt to the system. Different control architectures may have inherent tradeoffs between their short-term performance and the amount of relevant feedback that informs this adaptation. In this study we focused on the ability of two common types of myoelectric control interfaces: raw control with raw feedback, such as a regression, and...
10 CitationsSource
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