MAS509 Biomechanical and biomedical instrumentation (Høst 2022)

On successful completion of the course, the student should be able to:

• understand the basis in the theory of biomedical measurement systems, including sensors, signal conditioning methods, measurement techniques, patient interfacing and instrumentation used in assistive and healthcare technology
• understand the basis in the theory of biomechanical measurement systems, including motion, force sensors and visual motion capture system
• understand the basis in the theory of machine vision for human behavior analysis, fall and irregularity detection
• understand the basis in the machine vision an image processing related to assistive and health technology
• demonstrate how signals from biomechanical sensors can be fused for physical activity assessment and feature extraction
• demonstrate how wearable sensors and systems can be used in home monitoring, telemedicine and smart home control
• write a scientific report

This course will provide the students with necessary knowledge about biomedical sensors, biomechanical sensors and measurement methods to design assistive and health technology.

• Biomechanical sensors and measurement methods
• Biomechanical measurement in diagnostic, rehabilitation and training
• Biomedical sensors and measurement methods
• Human machine interface and event detection
• Signal acquisition processing, fusion and feature extraction methods
• Image processing and machine vision
• AI applied in assistive technology

Lectures, compulsory laboratory exercises, assignments.

Estimated workload for the average student is approximately 200 hours.

Compulsory assignments must be approved in order to take the examination.

Information will be given in Canvas when the semester starts.