University of Minnesota, Twin Cities campus

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RSC 5841 - Applied Data Acquisition and Processing
Credits: 3.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Spring Odd Year
This course will introduce students to collecting and processing biomedical time series data. Students will gain experience using data acquisition hardware common in many laboratories, as well as related software for acquisition of the data and digital signal processing. Data sources will include electromyography (EMG), wearable sensors, motion capture, and data from other systems based on the background and interests of students in the class. The overall goal of this course is to provide students with the necessary, fundamental skills to run a successful experiment, troubleshoot errors, and produce high quality data sets. prereq: prefer students to have completed general physics, introductory of short calculus