BME59500 - Practical Neural Engineering - The Robert H. Buckman College of Engineering Online Education Program - Purdue University

Credit Hours: 3

Instructor(s): Ken Yoshida

Email: yoshida@purdue.edu

Learning Objective:

• Understand and describe the physiology underlying the bioelectric phenomenon in the peripheral nervous system (neuromuscular motor and somatic sensory).
• Understand and ddescribe the biophysics of the transduction of the bioelectric phenomenon to activate bioelectrically active tissues and measure bioelectirc activities using surface and indwelling electrodes.
• Understand and describe the state of the art in bioelectric interfaces.
• Understand and describe the safe and ethical use of bioelectric devices.
• Develop an in-silico model that describes the eletrode sensitivity function
• Design experients using standard engineering acquisition tools and bioelectric interfaces to measure and induce activity in bioelectric tissues involving the earthworm.
• Propose, conduct and defend a project involving the in-vivo use of bioelectric interfaces.

Description:

Neural engineering is an emerging engineering discipline that combines the various disciplines of engineering with the biological, physical and material sciences to find the means to access, understand, manipulate, and perhaps enhance the nervous system and the information it contains. The aim of this course is to provide an introduction to the field of neural engineering and the will start with the introduction of the neuron, the bioelectric phenomenon and the neural/electronic interface. These topics will be reinforced through hands on practical experiments using electrodes for stimulation and recording.

Topics Covered:

• Electrochemistry
  • Faraday's Experiment
  • Thermodynamics
  • Bioelectric Potentials
  • Action Potentials
  • Strength Duration Curve
  • Neuron: Intracellular Weiss' Law
  • Electrochemical Potentials
  • Electrode Impedance
  • Electrochemistry and RedOx Reactions
  • Measurement of Electrode Impedance
• The Volume Conductor
  • Volume Conductor
  • Volume Conductor Measurements
  • Modeling Environments
  • Helmholz Reciprocity
  • In-silico Volume Conductor
• Nerve Fibers and Action Potentials
  • Electrical Activation of Nerves
  • Measuring Bioelectric (Nerve) Activity
  • The Pulse Simulator
  • Earthworm Strength Duration Curve
• Applications of Neural Electric Devices
  • Animal Models
  • Mini-Project Introduction
  • Research Talk in Bioelectricity
  • Signal Processing
  • Neural Interfaces
  • Mini-Project Presentation

Web Address:

https://purdue.brightspace.com

Homework:

All assignments to be turned in for a mark will be due at the posted Brightspace Assignments due date. Late work will not be accepted.

Extenuating circumstances may result in changes to the assignments or schedule. Please check Brightspace often for announcements of any changes.

Exams:

Individual requests for taking the exams early will not be granted. Students in good standing who have a legitimate conflict with the exam's time may arrange with the instructor prior to the published exam time to take an Inomplete for the course. Students who are failing the course are not eligible for a grade of Incomplete. Incompletes must be cleared by taking the final exam at a later date but within one year of its filing. Incompletes not cleared within the year will result in an F in the course.

The student must pass the final exam in order to pass the class. If the student fails in the final exam, the overall course grade will become the final exam grade. Thus, the student must pass the final exam (C- or better) to pass the course.

Textbooks:

Malmivuo and Plonsey, Bioelectromagnitism, Oxford Univ Press, 1995

Computer Requirements:

Python, MatLab, Neuron