Skip to main content

Removing speech artifacts from EEG data using Residue Iteration Decomposition (RIDE)

Project description

eeg-ride

Python implementation of RIDE algorithm (Ouyang et al., 2015)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eeg-ride-0.2.0.tar.gz (90.0 kB view details)

Uploaded Source

Built Distribution

eeg_ride-0.2.0-py3-none-any.whl (14.2 kB view details)

Uploaded Python 3

File details

Details for the file eeg-ride-0.2.0.tar.gz.

File metadata

  • Download URL: eeg-ride-0.2.0.tar.gz
  • Upload date:
  • Size: 90.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for eeg-ride-0.2.0.tar.gz
Algorithm Hash digest
SHA256 d3b92b144620638ae0fb92bbf456a454ecc68e81de0416918a0e0dd5d7715317
MD5 e6046a3304b542f58bd8ae86d636245c
BLAKE2b-256 a8f454b6c68a3ff06cc69aa34b1a0a66ba25ce86fbfb32f358639d83cc91763d

See more details on using hashes here.

File details

Details for the file eeg_ride-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: eeg_ride-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 14.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for eeg_ride-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a4bffdd2f81457f97e0195ef660338959e70360eb11c25786ab232efab5c894f
MD5 e7547011f82dc590a795a7b4f30c0fbe
BLAKE2b-256 a11d5f540638e995a40d81903984ea1d62802af61d69ca375b4bea464112905d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page