Separating the Signal from the Noise: Signal Processing and Feature Extraction Techniques for Biological Data

Abstract: 

Your model is only as good as the data that goes into it, so removing the maximum amount of noise while retaining signal is vital. This talk will introduce basic signal processing and motion artefact removal techniques, such as low-pass filtering, Kalman filtering, and Savitzky-Golay filtering. The session will take you through practical examples that you can apply straight away to your biological data. I will also make recommendations for data collection to consider when designing a sensor so that you can get the best possible data (because prevention is better than treatment!). Those interested in machine learning and signal analysis for biomedical processing, electrical and optical signals, and wearables technology will enjoy this talk!

Bio: 

Bio Coming Soon!

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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