Publications by authors named "Carmen Silex"
iSANLA: intelligent sensor and actuator network for life science applications.
Annu Int Conf IEEE Eng Med Biol Soc
April 2009
In the fields of neurological rehabilitation and neurophysiological research there is a strong need for miniaturized, multi channel, battery driven, wireless networking DAQ systems enabling real-time digital signal processing and feedback experiments. For the scientific investigation on the passive auditory based 3D-orientation of Barn Owls and the scientific research on vegetative locomotor coordination of Parkinson's disease patients during rehabilitation we developed our 'intelligent Sensor and Actuator Network for Life science Application' (iSANLA) system. Implemented on the ultra low power microcontroller MSP430 sample rates up to 96 kHz have been realised for single channel DAQ.
View Article and Find Full Text PDFArticle Synopsis
- In magnetoencephalography (MEG) and electroencephalography (EEG), a new automated method uses amplitude and phase statistics to effectively identify and remove biological artifacts like those from eye blinks, muscle movements, and heart activity.
- The study found that phase statistics are particularly useful for detecting cardiac artifacts, while a mix of different measures is necessary for ocular and muscle-related artifacts.
- The automated system demonstrated high performance in removing these artifacts with minimal impact on the actual brain signals, making it suitable for clinical use.