Xia et al., 2013 - Google Patents
Asynchronous brain–computer interface based on steady-state visual-evoked potentialXia et al., 2013
- Document ID
- 2612688240442637679
- Author
- Xia B
- Li X
- Xie H
- Yang W
- Li J
- He L
- Publication year
- Publication venue
- Cognitive Computation
External Links
Snippet
Asynchronous brain–computer interface (BCI) systems are more practicable than synchronous ones in real-world applications. A key challenge in asynchronous BCI design is to discriminate intentional control (IC) and non-intentional control (NC) states. In this …
- 230000000007 visual effect 0 title abstract description 12
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
- A61B5/0484—Electroencephalography using evoked response
- A61B5/04842—Electroencephalography using evoked response visually
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
- A61B5/048—Detecting the frequency distribution of signals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0488—Electromyography
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7232—Signal processing specially adapted for physiological signals or for diagnostic purposes involving compression of the physiological signal, e.g. to extend the signal recording period
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Xia et al. | Asynchronous brain–computer interface based on steady-state visual-evoked potential | |
Lesenfants et al. | An independent SSVEP-based brain–computer interface in locked-in syndrome | |
Gao et al. | Visual and auditory brain–computer interfaces | |
Panicker et al. | An asynchronous P300 BCI with SSVEP-based control state detection | |
Zhou et al. | A hybrid asynchronous brain-computer interface combining SSVEP and EOG signals | |
Stikic et al. | EEG-based classification of positive and negative affective states | |
Shi et al. | EEG-based vigilance estimation using extreme learning machines | |
Chatelle et al. | Brain–computer interfacing in disorders of consciousness | |
Xie et al. | Steady-state motion visual evoked potentials produced by oscillating newton's rings: implications for brain-computer interfaces | |
KR101585150B1 (en) | multi-mode brain-computer interface system based on brain connectivity | |
US20140228701A1 (en) | Brain-Computer Interface Anonymizer | |
Zhang et al. | A CWT-based SSVEP classification method for brain-computer interface system | |
TWI544365B (en) | Control system of electronic device and method thereof | |
Wang et al. | EEG-based brain-computer interfaces | |
Mousavi et al. | Improving motor imagery BCI with user response to feedback | |
Girase et al. | MindWave device wheelchair control | |
Heger et al. | Online workload recognition from EEG data during cognitive tests and human-machine interaction | |
Pathirana et al. | A critical evaluation on low-cost consumer-grade electroencephalographic devices | |
Parmonangan et al. | Fast brain control systems for electric wheelchair using support vector machine | |
Zhang et al. | Recognition of the idle state based on a novel IFB-OCN method for an asynchronous brain-computer interface | |
Acampora et al. | Applying logistic regression for classification in single-channel SSVEP-based BCIs | |
Bansal et al. | Real time acquisition and analysis of neural response for rehabilitative control | |
Amini et al. | A comparative study of feature extraction methods in P300 detection | |
Suefusa et al. | Phase-based detection of intentional state for asynchronous brain-computer interface | |
Tavares et al. | Steady-state visual evoked potential-based real-time bci for smart appliance control |