Biosystems Analysis
(3-0-0-3)
CMPE Degree: This course is Selected Elective for the CMPE degree.
EE Degree: This course is Selected Elective for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Groups / Course Categories: Threads / ECE Electives
Course Coordinator: Omer T Inan
Prerequisites: BMED 3510 [min D] or CHBE 4400 [min D] or ECE 2040 [min C] or ME 3015 [min D] or ME 3017 [min D]
Catalog Description
Signal processing and modeling tools are presented for analyzing biomedical signals, with a particular focus on physiologic monitoring for human health and performance. Crosslisted with CHE and ME 4782.Course Outcomes
Design and implement pre-processing algorithms for reducing noise and artifacts from biosignal recordings
Describe challenges in real-world biomedical signal processing problems such as motion artifacts and low signal-to-noise ratio
Develop strategies for mitigating these real-world challenges including through the design of multi-modal signal processing and machine learning techniques
Communicate the design of biosignal processing algorithms to a diverse audience of engineers and / or clinicians via written and oral presentation
Strategic Performance Indicators (SPIs)
N/A
Topic List
- Fundamentals of digital signals and systems
- Convolution
- Fourier transform
- Digital filters
- Fundamentals of probability and statistics, and basic machine learning for biosignals
- Probability distribution and density functions
- Basics of machine learning
- Regression and classification
- Signal modeling techniques
- Physiologic monitoring
- Cardiovascular and pulmonary physiological and signals
- Nervous system and neurological disorders
- Biomechanics: posture, balance, and movement
- Acoustic signals: speech, heart sounds, snoring
- Trauma, hemorrhage and other acute monitoring
- Special topics in biosignal processing and modeling
- Cuffless blood pressure estimation
- Extreme environment human performance augmentation