Detection of P300 brain waves using a MagnetoImpedance sensor
نویسندگان
چکیده
منابع مشابه
Detection of P300 brain waves using a Magneto-Impedance sensor
We have previously reported a study on brain activity detection in occipital region using a picotesla-scale MagnetoImpedance (MI) sensor. Based on past studies, the target of the present study was to review the performance of MI sensor on parietal region brain activity detection. Human brain magnetic field is extremely weak, in order to detect the faint magnetic field, we constructed an MI meas...
متن کاملPulse-Driven Magnetoimpedance Sensor Detection of Cardiac Magnetic Activity
This study sought to establish a convenient method for detecting biomagnetic activity in the heart. Electrical activity of the heart simultaneously induces a magnetic field. Detection of this magnetic activity will enable non-contact, noninvasive evaluation to be made. We improved the sensitivity of a pulse-driven magnetoimpedance (PMI) sensor, which is used as an electric compass in mobile pho...
متن کاملControl of a 2-DoF robotic arm using a P300-based brain-computer interface
In this study, a novel control algorithm, based on a P300-based brain-computer interface (BCI) is fully developed to control a 2-DoF robotic arm. Eight subjects including 5 men and 3 women perform a 2-dimensional target tracking in a simulated environment. Their EEG (Electroencephalography) signals from visual cortex are recorded and P300 components are extracted and evaluated to perform a real...
متن کاملA robust sensor-selection method for P300 brain-computer interfaces.
A brain-computer interface (BCI) is a specific type of human-computer interface that enables direct communication between human and computer through decoding of brain activity. As such, event-related potentials like the P300 can be obtained with an oddball paradigm whose targets are selected by the user. This paper deals with methods to reduce the needed set of EEG sensors in the P300 speller a...
متن کاملSensor selection for P300 speller brain computer interface
Brain-computer interfaces (BCI) are communication system that use brain activities to control a device. The BCI studied is based on the P300 speller [1]. A new algorithm to select relevant sensors is proposed: it is based on a previous proposed algorithm [2] used to enhance P300 potentials by spatial filters. Data recorded on three subjects were used to evaluate the proposed selection method: i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal on Smart Sensing and Intelligent Systems
سال: 2020
ISSN: 1178-5608
DOI: 10.21307/ijssis-2019-087