Artikelen + lecture week 1 Flashcards
What is brain-computer interface (BCI)?
A direct online connection between the brain and a machine is made. Mental activity is measured and used directly to control a computer interface (e.g., a wheelchair)
What are the components of the the components of BCI cycle?
- Measurment
- Preprocessing
- Feature extraction
- Prediction
- Output
- Stimulation
- Modality
The ideal BCI task should contain the following:
- Easy to perform with little effort (prevents fatigue).
- Reliable and fast interpretation of the signals.
- Easy to control and fast to switch.
- Output is user-friendly and the feedback is effective
What are examples of BCI tasks?
Perceptual tasks (e.g., selective attention to one stimulus of a set of stimuli), and imagery tasks (e.g., motor imagery or music imagery)
What is the difference between synchronous (or ‘cue-based’) BCI
systems and asynchronous (or ‘self-paced’) BCI systems?
In synchronous BCI systems, the response is time locked to the stimulus. In asynchronous BCI system, the system has to figure out exactly when a response happens
Which system is more natural and closer related to daily living, but it is much harder to realize such a BCI system, synchronous or asynchronous?
Asynchronous
What are non-invasive measuring methods?
- EEG and MEG; these reflect the average activity of dendritic currents in a large number of cells.
- fMRI measures changes in blood haemoglobin concentrations associated with neural activity.
- Near-infrared spectroscopy (NIRS): measures the different resonance properties of oxygenated and deoxygenated haemoglobin.
What are invasive measuring methods? (name examples)
- Involves implanting of electrodes on/in the neocortex.
- Electro-corticogram (ECoG): ECoG is often used in epileptic patients to determine source of epileptic attacks in the brain.
- Signal-to-noise ratio = a measure for the quality of a signal in which there is a (hindering) noise.
- Micro-electrodes (ME) or many micro electrodes (a ‘micro-electrode array’ or ‘MEA’). These micro-electrodes can record multiple forms of electrical potentials.
What is a ‘signature’?
A set of characteristics that can be found in a brain signal and can be uniquely described to a specific mental process or state. And example of a signature is that of sleep
The ‘signatures’ that have been proven useful for BCI are evoked responses and induced responses. What are those?
Evoked responses: time- and phase-locked to an event.
Induced responses: not phase-locked. The power, rather than the phase, is time locked to the stimulus
What is the preprocessing stage?
During this stage, measured brain signals are transformed with the aim to maximize signal-to-noise ratio and thus maximizing the probability of a correct brain state identification
The most used types of preprocessing are:
- Artefact detection: finding confounding signals from sources outside the brain (e.g., eye and muscle artefacts) and then remove these confounding signals.
- Spectral filtering: removing noise signals by combining signals to focus on or reject signals based upon their position in the brain.
- Spatial filtering: identifying statistically independent sources of activity
What is the feature extraction stage (BCI)?
‘Feature extraction’ means that the temporal (time) and spectral (power) features of a signal are used to characterize the signal of interest
Which BCI stages are needed to get the raw signals ‘ready’ for predicting outcomes
Preprocessing and feature extraction
The ease or difficultness of making a prediction in the prediction phase/ classification stage depends on?
The classifier, the number of extracted features, the amount of training data and the experimental paradigm.