https://github.com/rcv911/periodogram

Draw periodogram of real EEG data
https://github.com/rcv911/periodogram

analysis biomedical-data-science biomedical-engineering biosignals eeg eeg-analysis eeg-data eeg-signals periodogram

Last synced: 30 days ago
JSON representation

Draw periodogram of real EEG data

• Host: GitHub
• URL: https://github.com/rcv911/periodogram
• Owner: rcv911
• Created: 2017-12-24T13:49:23.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2017-12-24T16:44:44.000Z (about 8 years ago)
• Last Synced: 2023-11-29T20:43:07.538Z (about 2 years ago)
• Topics: analysis, biomedical-data-science, biomedical-engineering, biosignals, eeg, eeg-analysis, eeg-data, eeg-signals, periodogram
• Language: Python
• Homepage:
• Size: 1.8 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# EEG periodogram. Analysis of biomedical data.

## Description

We could call this signal from a biological or medical source - just simple a biosignal. 

The biosignal could be at the molecular level, cell level, or a systemic or organ level. 

>Examples include the electrocardiogram (ECG), or electrical activity from the heart; speech signals;

the electroencephalogram (EEG), or electrical activity from the brain; evoked potentials (EPs, i.e.,

auditory, visual, somatosensory, etc.), or electrical responses of the brain to specific peripheral

stimulation; the electroneurogram, or field potentials from local regions in the brain; action potential

signals from individual neurons or heart cells; the electromyogram (EMG), or electrical activity from

the muscle; the electroretinogram from the eye; and so on.

We are going to use real [EEG data](https://github.com/rcv911/periodogram/tree/master/data%20files) from one subject.

## Motivation

Analysis of biosignals is one of the most important thing now. Doctors doesn't have skills in programming languages, 

but they know a lot about medical things. Programmers can solve this problem, creating tools for doctors and helping them with detecting or 

estimating quickly. 

 

>Clinically, biomedical signals are primarily acquired for monitoring (detecting or estimating)

specific pathological/physiological states for purposes of diagnosis and evaluating therapy. In some

cases of basic research, they are also used for decoding and eventual modeling of specific biological

systems. 

## Results

Here's EEG time series and EEG spectrum from different 5 sec records. Number of record: 7, 21 and 50. 

![](images/eeg_spectrum_7.png)

![](images/eeg_spectrum_21.png)

![](images/eeg_spectrum_50.png)

Look at the spectrum. It has fluctuations of 13-40 Hz, so you can see [betta waves.](https://en.wikipedia.org/wiki/Beta_wave)

It's just simple example. If we talk about statistic data or how it helps in diagnostic we cannot use this data. 

First of all we need to average 84 records. [See this repository](https://github.com/rcv911/spectrum-average)

## Learn more

- [Wiki](https://en.wikipedia.org/wiki/Electroencephalography)

- You can use [scipy.signal.periodogram](https://docs.scipy.org/doc/scipy-0.13.0/reference/generated/scipy.signal.periodogram.html#scipy-signal-periodogram)

## Installation

You can use [Python](https://www.python.org/) with data package: [Anaconda](https://www.anaconda.com/) or [Miniconda](https://conda.io/miniconda).

There's another way - use [Portable Python](http://portablepython.com/). Also you can use whatever IDE for Python.

## License

Free