Electronic control of organs : secretory glands and blood vessels

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Abstract/Contents

Abstract
Electro-neural stimulation can control organ function and help treat disease. Bioelectronic medicine and electrical control of organs are poised to become major new alternatives to traditional pharmacological treatments of disease. This work presents two examples of electronic control of organs: secretion from ocular glands and constriction of blood vessels. Dry eye disease afflicts 100 million people world-wide and originates from a deficiency of tear volume, lipid or protein in the corneal tear film. This work describes the pathways for enhanced secretion of tears by electrical stimulation of the lacrimal gland and sensory nerves, the composition of electrically enhanced tears and the optimal electrical parameters for aqueous secretion. This field has advanced from our basic animal work to clinical trials showing improved symptoms, tear volume, and ocular surface health in dry eye patients. Secondly, we describe electrical vasoconstriction to treat non-compressible hemorrhage—a leading cause of death in military and in civilian trauma. We show that electrical stimulation can reduce the rate of bleeding between 3- and 10-fold through neural and non-neural pathways of vasoconstriction. We designed a prototype of a battery-powered, miniature neurostimulator that could provide hours of vessel control.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Brinton, Mark Richard
Associated with Stanford University, Department of Electrical Engineering.
Primary advisor Palanker, Daniel
Thesis advisor Palanker, Daniel
Thesis advisor Arbabian, Amin
Thesis advisor Poon, Ada Shuk Yan
Advisor Arbabian, Amin
Advisor Poon, Ada Shuk Yan

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Mark Richard Brinton.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

Copyright
© 2017 by Mark Richard Brinton
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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