Name: Understanding time-series healthcare data -- Advanced signal processing.
Start: 2018-05-05T15:00:00-04:00
End: 2018-05-05T17:00:00-04:00
Location: Think Coffee

Time series data is ubiquitous in healthcare. A great example for the timeseries data are the brain wave recordings or electroencephalography (EEG). During this meetup, we will learn how to perform basic signal processing including concepts of band-pass filter and various types of filtering techniques. At the end of the session, the participants will implement a Butterworth band-pass filter on an EEG data.

The programming will be done using Python 3. We will be using the Scipy scientific computing package for Python to perform the signal processing tasks.

* What to bring?

Laptop with Python3 and Scipy package installed.

* Who is the target audience?

Anyone interested in healthcare analytics or signal processing.

* Important to know.

This is a ticketed event. RSVP on the Meetup doesn't guarantee participation in this event. Please purchase the tickets from here: https://www.moad.computer/store/p36/Healthcare_Analytics

Rahul Remanan

New York Health Artificial Intelligence Society

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Neuroscience

Artificial Intelligence Programming

Artificial Intelligence

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Understanding time-series healthcare data -- Advanced signal processing.

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New York Health Artificial Intelligence Society

Understanding time-series healthcare data -- Advanced signal processing.

New York Health Artificial Intelligence Society

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