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
Release history Release notifications | RSS feed
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)
Built Distribution
eeg_ride-0.2.0-py3-none-any.whl
(14.2 kB
view details)
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | d3b92b144620638ae0fb92bbf456a454ecc68e81de0416918a0e0dd5d7715317 |
|
MD5 | e6046a3304b542f58bd8ae86d636245c |
|
BLAKE2b-256 | a8f454b6c68a3ff06cc69aa34b1a0a66ba25ce86fbfb32f358639d83cc91763d |
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | a4bffdd2f81457f97e0195ef660338959e70360eb11c25786ab232efab5c894f |
|
MD5 | e7547011f82dc590a795a7b4f30c0fbe |
|
BLAKE2b-256 | a11d5f540638e995a40d81903984ea1d62802af61d69ca375b4bea464112905d |