In order to analyze brain activity signals, it is important to remove any artifact of the obtained data so that we can further provide diagnosis of possible symptoms. There are many different ways to do denoising of the given signals. In this paper, we test several biosignals and obtain an optimal ways to denoise the data and perform time frequency analysis of an EEG signal.
|Title of host publication||Eighth International Conference on Digital Image Processing, ICDIP 2016|
|Editors||Xudong Jiang, Charles M. Falco|
|State||Published - 2016|
|Event||8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China|
Duration: May 20 2016 → May 23 2016
|Name||Proceedings of SPIE - The International Society for Optical Engineering|
|Conference||8th International Conference on Digital Image Processing, ICDIP 2016|
|Period||05/20/16 → 05/23/16|
- Artifact removal
- Multiresolution analysis.
- Physiological signal
- Wavelet transform