publication . Conference object . Article . 2011

Analysis of scalp EEG recorded in a low-noise environment

A. Shahidi Zandi; Guy A. Dumont; M. Yedlin; Ph. Lapeyrie; C. Sudre; Stéphane Gaffet;
Open Access English
  • Published: 01 Mar 2011
  • Publisher: HAL CCSD
  • Country: France
International audience; This study investigates the effects of a low-noise environment when used for recording the scalp electroencephalogram (EEG). Analysis of the EEG recordings from three volunteers confirms that clean EEG signals can be acquired in the LSBB shielded capsule without the need for notch filtering. Also, using different setups for acquiring EEG, statistical analysis reveals that the laptop computer and the patient module do not introduce any noise on the recorded signals. Moreover, the current study shows that the counting task as a mental activity can be better detected using the EEG acquired in the capsule since the relative energy of the beta...
Persistent Identifiers
ACM Computing Classification System: ComputingMilieux_MISCELLANEOUS
Fields of Science and Technology classification: 02 engineering and technology01 natural sciences0202 electrical engineering0105 earth and related environmental sciences010501 environmental scienceselectronic engineering
free text keywords: [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SCCO.NEUR]Cognitive science/Neuroscience, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Low noise, Mental activity, Electroencephalography, medicine.diagnostic_test, medicine, Scalp eeg, Pattern recognition, Biomedical engineering, Artificial intelligence, business.industry, business, Noise, Beta band, Relative energy, Scalp electroencephalogram, Computer science
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