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Related Experiment Video

Updated: Jun 18, 2026

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

Software for biomedical engineering signal processing laboratory experiments.

Willis J Tompkins¹, J Wilson

¹Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53706 USA. tompkins@engr.wisc.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

UW DigiScope 3.0 enhances biomedical digital signal processing education. This updated software, built on MATLAB!, offers interactive tools for filter design and algorithm study, improving student understanding of signal processing constraints and performance.

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Area of Science:

Biomedical Engineering
Computer Science
Signal Processing

Background:

Students often lack hands-on experience with digital signal processing (DSP) tools.
Traditional DSP courses offer limited interactive filter design, hindering understanding of constraints and performance.
UW DigiScope was initially developed to provide accessible DSP study using personal computers.

Purpose of the Study:

To introduce UW DigiScope 3.0, a significant update to the interactive biomedical digital signal processing software.
To detail the new version's functionality, particularly its MATLAB!-based architecture and interactive filter design capabilities.
To facilitate a deeper understanding of digital filtering and pattern recognition algorithms in biomedical signal processing for students and researchers.

Main Methods:

Development of UW DigiScope 3.0, an updated version of the educational software.
Integration with MATLAB! to leverage its advanced processing algorithms and filter design tools.
Creation of an interactive programming interface for studying biomedical signals and processing algorithms.

Main Results:

UW DigiScope 3.0 provides an updated, PC-based platform for learning biomedical digital signal processing.
The new version features an enhanced filter design tool, offering an interactive approach to understanding filter constraints and performance.
The software serves as a direct interface between users and various signal processing algorithms.

Conclusions:

UW DigiScope 3.0 significantly improves educational opportunities in biomedical digital signal processing.
The interactive nature of the software, particularly the filter design tool, enhances practical learning and comprehension.
This updated tool empowers individuals to study DSP without specialized hardware, promoting wider accessibility in the field.