title: A Review of Techniques for Detection of Movement Intention Using Movement-Related Cortical Potentials.
abstract: The movement-related cortical potential (MRCP) is a low-frequency negative shift in the electroencephalography (EEG) recording that takes place about 2 seconds prior to voluntary movement production. MRCP replicates the cortical processes employed in planning and preparation of movement. In this study, we recapitulate the features such as signal's acquisition, processing, and enhancement and different electrode montages used for EEG data recoding from different studies that used MRCPs to predict the upcoming real or imaginary movement. An authentic identification of human movement intention, accompanying the knowledge of the limb engaged in the performance and its direction of movement, has a potential implication in the control of external devices. This information could be helpful in development of a proficient patient-driven rehabilitation tool based on brain-computer interfaces (BCIs). Such a BCI paradigm with shorter response time appears more natural to the amputees and can also induce plasticity in brain. Along with different training schedules, this can lead to restoration of motor control in stroke patients.
authors.affiliation: Human Systems Lab, Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
authors.forename: Aqsa
authors.initials: A
authors.lastname: Shakeel
authors.affiliation: Human Systems Lab, Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
authors.forename: Muhammad Samran
authors.initials: MS
authors.lastname: Navid
authors.affiliation: Human Systems Lab, Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
authors.forename: Muhammad Nabeel
authors.initials: MN
authors.lastname: Anwar
authors.affiliation: BiSMiL Lab, Computer Science Department, Information Technology University, Lahore 54000, Pakistan.
authors.forename: Suleman
authors.initials: S
authors.lastname: Mazhar
authors.affiliation: Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, 9100 Aalborg, Denmark.
authors.forename: Mads
authors.initials: M
authors.lastname: Jochumsen
authors.affiliation: Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, 9100 Aalborg, Denmark; Center for Chiropractic Research, New Zealand College of Chiropractic, 1060 Auckland, New Zealand; Faculty of Health & Environmental Sciences, Health & Rehabilitation Research Institute, Auckland University of Technology, 1010 Auckland, New Zealand.
authors.forename: Imran Khan
authors.initials: IK
authors.lastname: Niazi
mesh_terms: D062207:Brain-Computer Interfaces; D019295:Computational Biology; D004569:Electroencephalography / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D033182:Intention; D009044:Motor Cortex / Q000502:physiology*; D009068:Movement / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D000071939:Stroke Rehabilitation