Tavares et al., 2019 - Google Patents
Steady-state visual evoked potential-based real-time bci for smart appliance controlTavares et al., 2019
View PDF- Document ID
- 15827454389124465615
- Author
- Tavares N
- Gad R
- Publication year
- Publication venue
- Cognitive Informatics and Soft Computing: Proceeding of CISC 2017
External Links
Snippet
Abstract Brain–Computer Interface (BCI) provides an alternative way for humans to communicate with the external environment. BCI systems can be of great help to people with severe motor disabilities who cannot perform normal daily activities. In this paper, we …
- 230000000763 evoked 0 title abstract description 17
Classifications
-
- 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
- A61B5/04845—Electroencephalography using evoked response acoustically or auditory
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
- A61N1/36014—External stimulators, e.g. with patch electrodes
- A61N1/36025—External stimulators, e.g. with patch electrodes for treating a mental or cerebral condition
-
- 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
- A61B5/04—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
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
-
- 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
- A61B5/04001—Detecting, measuring or recording bioelectric signals of the body of parts thereof adapted to neuroelectric signals, e.g. nerve impulses
-
- 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
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0531—Measuring skin impedance
-
- 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
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- 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
-
- 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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Xing et al. | A high-speed SSVEP-based BCI using dry EEG electrodes | |
Lesenfants et al. | An independent SSVEP-based brain–computer interface in locked-in syndrome | |
Hoffmann et al. | An efficient P300-based brain–computer interface for disabled subjects | |
Pasqualotto et al. | Toward functioning and usable brain–computer interfaces (BCIs): A literature review | |
Horki et al. | Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb | |
Stikic et al. | EEG-based classification of positive and negative affective states | |
Nakanishi et al. | Facilitating calibration in high-speed BCI spellers via leveraging cross-device shared latent responses | |
Rozado et al. | Improving the performance of an EEG-based motor imagery brain computer interface using task evoked changes in pupil diameter | |
Steyrl et al. | On similarities and differences of invasive and non-invasive electrical brain signals in brain-computer interfacing | |
Kurkin et al. | Artificial intelligence systems for classifying eeg responses to imaginary and real movements of operators | |
Zao et al. | Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling | |
Gorur et al. | Glossokinetic potential based tongue–machine interface for 1-D extraction | |
Pathirana et al. | A critical evaluation on low-cost consumer-grade electroencephalographic devices | |
Yudhana et al. | Recognizing human emotion patterns by applying Fast Fourier Transform based on brainwave features | |
Yan et al. | An improved common spatial pattern combined with channel-selection strategy for electroencephalography-based emotion recognition | |
Li et al. | EEG-based emotion recognition with haptic vibration by a feature fusion method | |
Tavares et al. | Steady-state visual evoked potential-based real-time bci for smart appliance control | |
Ashenaei et al. | Stable EEG-based biometric system using functional connectivity based on time-frequency features with optimal channels | |
Parmonangan et al. | Fast brain control systems for electric wheelchair using support vector machine | |
Yang et al. | A Synchronized Hybrid Brain‐Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals | |
Sulaiman et al. | Offline LabVIEW-Based EEG Signals Analysis to Detect Vehicle Driver Microsleep | |
Mai et al. | Real-Time On-Chip Machine-Learning-Based Wearable Behind-The-Ear Electroencephalogram Device for Emotion Recognition | |
Gramann et al. | The use of electroencephalography in neuroergonomics | |
Virdi et al. | Home automation control system implementation using SSVEP based brain computer interface | |
Bansal et al. | Real time acquisition and analysis of neural response for rehabilitative control |