Head movement compensation in real-time magnetoencephalographic recordings
نویسندگان
چکیده
منابع مشابه
Head movement compensation in real-time magnetoencephalographic recordings
Neurofeedback- and brain-computer interface (BCI)-based interventions can be implemented using real-time analysis of magnetoencephalographic (MEG) recordings. Head movement during MEG recordings, however, can lead to inaccurate estimates of brain activity, reducing the efficacy of the intervention. Most real-time applications in MEG have utilized analyses that do not correct for head movement. ...
متن کاملReal Time Acquisition of EMG Signal and Head Movement Recognition
This paper presents the work on a technology for Real time EMG acquisition and recognition of head movement. EMG signal detection and analysis is useful in various clinical and biomedical applications such as generation of control signal for prosthetic tool, but better solutions for detecting noise free EMG signals need to be developed. In this paper a simple and cost effective method for estim...
متن کاملwhole-head magnetoencephalographic study
Ž . Magnetoencephalography MEG was used to determine the effect of neuroleptic challenge on brain responses in healthy subjects. In a double-blind, randomized, placebo-controlled, cross-over design study, the dopamine D2 Ž . receptor antagonist haloperidol 2 mg was given orally to 12 healthy volunteers. The middle-latency auditory evoked Ž . magnetic fields MAEF were recorded 3 h after administ...
متن کاملOnline and offline tools for head movement compensation in MEG
Magnetoencephalography (MEG) is measured above the head, which makes it sensitive to variations of the head position with respect to the sensors. Head movements blur the topography of the neuronal sources of the MEG signal, increase localization errors, and reduce statistical sensitivity. Here we describe two novel and readily applicable methods that compensate for the detrimental effects of he...
متن کاملIndependent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings
We have studied the application of an independent component analysis (ICA) approach to the identification and possible removal of artifacts from a magnetoencephalographic (MEG) recording. This statistical technique separates components according to the kurtosis of their amplitude distributions over time, thus distinguishing between strictly periodical signals, and regularly and irregularly occu...
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: MethodsX
سال: 2014
ISSN: 2215-0161
DOI: 10.1016/j.mex.2014.10.008