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Artificial Muscle Devices: Innovations and Prospects for Fecal Incontinence Treatment

Overview of attention for article published in Annals of Biomedical Engineering, February 2016
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Title
Artificial Muscle Devices: Innovations and Prospects for Fecal Incontinence Treatment
Published in
Annals of Biomedical Engineering, February 2016
DOI 10.1007/s10439-016-1572-z
Pubmed ID
Authors

Elisa Fattorini, Tobia Brusa, Christian Gingert, Simone E. Hieber, Vanessa Leung, Bekim Osmani, Marco D. Dominietto, Philippe Büchler, Franc Hetzer, Bert Müller

Abstract

Fecal incontinence describes the involuntary loss of bowel content, which is responsible for stigmatization and social exclusion. It affects about 45% of retirement home residents and overall more than 12% of the adult population. Severe fecal incontinence can be treated by the implantation of an artificial sphincter. Currently available implants, however, are not part of everyday surgery due to long-term re-operation rates of 95% and definitive explantation rates of 40%. Such figures suggest that the implants fail to reproduce the capabilities of the natural sphincter. This article reviews the artificial sphincters on the market and under development, presents their physical principles of operation and critically analyzes their performance. We highlight the geometrical and mechanical parameters crucial for the design of an artificial fecal sphincter and propose more advanced mechanisms of action for a biomimetic device with sensory feedback. Dielectric electro-active polymer actuators are especially attractive because of their versatility, response time, reaction forces, and energy consumption. The availability of such technology will enable fast pressure adaption comparable to the natural feedback mechanism, so that tissue atrophy and erosion can be avoided while maintaining continence during daily activities.

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Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 13%
Student > Bachelor 8 10%
Student > Doctoral Student 7 9%
Researcher 7 9%
Student > Master 7 9%
Other 15 19%
Unknown 24 31%
Readers by discipline Count As %
Engineering 22 28%
Medicine and Dentistry 10 13%
Chemistry 5 6%
Psychology 3 4%
Business, Management and Accounting 2 3%
Other 10 13%
Unknown 26 33%