Biotech, Pharmaceutical, and Medical

Industry Segments

• Bioinformatics
• Pharmacokinetics / Pharmacodynamics
• Biosignal Processing and Data Analysis
• Biomedical Imaging
• Medical Devices and Instrumentation Design
• Lab Automation and Instrument Control

See also: MathWorks products for computational biology

Biosignal Processing and Data Analysis

One of the challenges in medical research is to extract meaning from data coming from a variety of sources. Digital signal processing techniques provide a flexible and effective solution. These techniques can be applied to sources such as EEG, EKG, MEG, EMG, and respiratory and auditory data to enhance the quality of biosignals and help researchers to detect significant signal events.

From left to right: A Savitzky-Golay filter can "smooth out" a noisy electrocardiogram (EKG) signal; the ERA-Profiler software from PhiTools lets physiologists perform scientific, pharmacological, and clinical investigations of sleep; the ERA-Profiler Desktop.

The MATLAB® product provides a full range of functions for analyzing biomedical signals and other data. You can analyze and visualize data in one integrated environment and experiment with and display different signal representations.

Learn more about MathWorks products for signal processing.

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