D2.1 Requirements and Specification - CORBYS

D2.1 Requirements and Specification
6.2 BCI detection of cognitive processes that play key roles in motor control and
learning (Task 3.3, UB)
Relevant task:
� BCI detection of cognitive processes that play key roles in motor control and learning
� The goal of this task is to detect cognitive information related to motor intention (e.g. intention of legs
motion) via Brain-Computer Interface. Electroencephalography (EEG) data will be acquired during
motor execution experiments on healthy subjects. The aim is to investigate the feasibility of
distinguishing between intended movement and unintended movement.
6.2.1 Functional Requirements
6.2.1.1 Processes
Inputs:
Requirement No. DMI1
Name: Experimental protocol design
Description: Documentation that describes the Motor intention BCI experiments through three main
elements: synopsis, data collection and analysis.
Reason / Comments: This protocol is necessary to conduct the motor intention studies
Indicative priority Mandatory
Requirement No. DMI2
Name: Motor intention study
Description: EEG data in .dat format recorded from healthy subjects
Reason / Comments: This data is necessary for offline signal processing
Indicative priority Mandatory
Outputs:
Requirement No. DMI3
Name: Algorithm for detection of motor intention
Description: MATLAB Program Code
Reason / Comments: This algorithm detects the intention of movement from stored EEG data
Indicative priority Mandatory
Processing:
Requirement No. DMI4
Name: Cue-based motor intention detection algorithm
Description: MATLAB Program Code (bci_Calibration.m)
Reason / Comments: This algorithm detects motor intention based on a calibration session that contains EEG data
locked to an event signal (offline).
Indicative priority Mandatory
Requirement No. DMI5
Name: Self-paced motor intention detection algorithm
Description: MATLAB Program Code (bci_Process.m)
Reason / Comments: This algorithm presents the second approach to detect motor intention based on data
recorded online.
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