Online removal of ocular artifacts from single channel EEG for ubiquitous healthcare applications

Hanjun Shin, Himchan Kim, Sangjin Lee, Jaewoo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A large number of ubiquitous healthcare systems and applications have been introduced recently as a result of breakthroughs in technologies such as wireless sensors and BAN (Body Area Network). However, most of the previous work has focused on the technology platform and service architecture for u-healthcare, and sensor data acquisition and handling have not received much attention. Readings from sensors are typically unreliable and contain a lot of noise, especially when they are used in uncontrolled environments such as ubiquitous healthcare systems. Without proper handling of noise, quality of service cannot be guaranteed. The problem is exacerbated for EEG signals; because the signal-to-noise ratio is especially low, the number of channels is limited, and noise (mostly ocular artifacts) removal should be done online. In this work, we introduce a method called Online SSA in order to address this problem. Online SSA extends the conventional offline SSA by incorporating the rank-1 modification technique to incrementally update the singular spectrum of the noise model. We validated the proposed method using real EEG data generated from a single channel EEG device. The results of the experiment demonstrated the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
DOIs
Publication statusPublished - 2009 Dec 1
Event4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 - Fukuoka, Japan
Duration: 2009 Dec 202009 Dec 22

Other

Other4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
CountryJapan
CityFukuoka
Period09/12/2009/12/22

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Shin, H., Kim, H., Lee, S., & Kang, J. (2009). Online removal of ocular artifacts from single channel EEG for ubiquitous healthcare applications. In Proceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 [5405708] https://doi.org/10.1109/ICUT.2009.5405708