Stanford Root

Schedule

Stanford Root

Schedule

BIOS 209

Experimental Design and Tools for Human Electrophysiology

UNITS:1
GRADING:Medical Satisfactory/No Credit
LEVEL:Graduate
GER:—

This 3-week mini course teaches students to develop research questions about electrophysiological signals from the brain and internal organs utilizing human-centered experimental techniques. Throughout the course, students will learn about electrophysiological signals in humans and modalities to measure them; develop (and iterate on) an experimental design to investigate a research question of their choice utilizing these techniques; and learn to evaluate the statistical power and potential sources of noise in their proposed experiment. Topics include electroencephalography (EEG), intracranial EEG, electromyography (EMG), electrocardiography (ECG/EKG), and electrogastrography (EGG). Students will also reflect on how they would lead their own future trainees through the research design process. Target Audience: graduate and post-graduate students of all academic backgrounds are welcome. Prerequisites: Knowledge of introductory physics and statistics, and previous exposure to electrophysiology will be helpful, but not required.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Lecture 1Open
ID: 27799
0 / 20 enrolled
DAYS:Tuesday, Thursday
TIME:4:30 PM – 6:20 PM
LOCATION:School of Medicine Room
INSTRUCTOR:
Hedlund, Michelle, Rao, Akshita, Coleman, Todd
1unit

BIOS 209: Experimental Design and Tools for Human Electrophysiology

1 units · Medical Satisfactory/No Credit

This 3-week mini course teaches students to develop research questions about electrophysiological signals from the brain and internal organs utilizing human-centered experimental techniques. Throughout the course, students will learn about electrophysiological signals in humans and modalities to measure them; develop (and iterate on) an experimental design to investigate a research question of their choice utilizing these techniques; and learn to evaluate the statistical power and potential sources of noise in their proposed experiment. Topics include electroencephalography (EEG), intracranial EEG, electromyography (EMG), electrocardiography (ECG/EKG), and electrogastrography (EGG). Students will also reflect on how they would lead their own future trainees through the research design process. Target Audience: graduate and post-graduate students of all academic backgrounds are welcome. Prerequisites: Knowledge of introductory physics and statistics, and previous exposure to electrophysiology will be helpful, but not required.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 4:30 PM – 6:20 PM — School of Medicine Room — Hedlund, Michelle, Rao, Akshita, Coleman, Todd (Graduate)

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