Mr. Junhyun Kim Profile

Junhyun Kim

at Pusan National Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 27 March 2019 Paper

Investigation of electrochemical and mechanical coupling effects of micromotion in neural sensing

Seonhye Han, Jisuk Kang, Junhyun Kim, Myung Yung Jeong, Hargsoon Yoon

Proceedings Volume 10969, 1096908 (2019) https://doi.org/10.1117/12.2513913

KEYWORDS: Electrodes, Brain, Mechanical sensors, Actuators, Neurotransmitters, Interfaces

Read Abstract +

Implanted neural sensing is important to unravel the complexity of neuronal circuitries and understand brain function. Implanted neural devices can capture neurochemical signals in the brain real time. During chronic implantation, micromotion between the neural implant and brain tissue is considered as one of key drivers for immune response and astroglial sheath formation around implants. Therefore, micromotion during in-vivo experiments interfere electrochemical sensing signals and longevity in the brain. This research presents experimental design and results of electrochemical and mechanical coupling of micromotion in a brain-like phantom simulating the brain. A piezoelectric actuator was used to generate motion of an electrode implanted in a phantom while applying potentials for cyclic voltammetry. Electrochemical signal analysis of neurotransmitter sensing was performed to identify motional effects varying experimental conditions such as the frequency and amplitude of mechanical motion, and the chemical and mechanical properties of the brain-like phantom changing the concentration of gelatin. The mechanical effect on neural sensing was also analyzed using DFT. We also introduced a computational model of micromotion in the brain to simulate and analyze mechanical effects on electrochemical neural sensing. The experiment and simulation results show mechanical motion affects the current level in the redox peaks of CV the most, and also shifts the peak voltages.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years