Giter Site home page Giter Site logo

dwongh / teetacsi Goto Github PK

View Code? Open in Web Editor NEW
0.0 0.0 0.0 9.93 MB

Code for acquiring and analysing data for the TEETACSI project (Tracking Expert Eyes to Train AI for Clinical Signal Interpretation)

License: GNU General Public License v3.0

Python 99.98% PowerShell 0.02%

teetacsi's People

Contributors

d3-worgan avatar dwongh avatar

Watchers

 avatar

teetacsi's Issues

Tracking Signals

Currently, signal Y-Axis data is tracked using the channel baseline coordinates. This might result in poorer accuracy if the signals are particularly skewed from the baselines, or if the user has zoomed in close.

The --signals option enables signal reprojection by re-reading the edf file and using the tracking data to reconstruct the position of the signals. This would result in more accurate tracking - however, it is not stable for several reasons.

First, when zooming out past the whole recording (so there is blank space either side of the eeg signals), the reprojected signals appear skewed to the left - a problem with filling the signal buffers. This should be fixed by rolling the buffer to the right in the update_channel_data function.

Second, the edfreader module cannot load less than 1 sample, which becomes a problem when zooming in below 1msec/page. Will need to find a way to handle this, possibly by just using the baselines instead.

Thirdly, when calculating the signal image coordinates, the coordinates appear to invert either side of 100 volts per cm. I.e., when zooming out the signals get bigger instead of getting smaller and vice versa. Some other scale information would likely need to be considered in the calculation in draw_signal.

Finally, to improve accuracy the tracking would need to handle the application of different filters when reprojecting and calculating the position of the signals

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.