Wednesday, January 21, 2015

IEEE BIO- medical - BRAIN-COMPUTER INTERFACE & EEG project topics

Posted by ADMIN at 2:29 PM 0 Comments
bio medical project topics

1.) Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Drivers Drowsiness Detection and Warning
2.) A Multi-class BCI using MEG
3.) A Miniature Robot for Isolating and Tracking Neurons in Extracellular Cortical Recordings
4.) Adaptive brain interface (ABI) : A portable non-invasive brain-computer interface
5.) An adaptive neuro-fuzzy method (ANFIS) for estimating single-trial movement-related potentials
6.) A Brain Computer Interface based on Steady-State Visual Evoked Potential
7.) Prosthetic Control by an EEG-based Brain-Computer Interface (BCI)
8.) EEG Signal Classification for Brain Computer Interface Applications
9.) Estimating cognitive state using EEG signals for BCI design
10.) EEG-based control of reaching to visual targets
11.) EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
12.) Mental Task Classification for Brain Computer Interface Applications
13.) Vibrotactile Feedback in the context of Mu-rhythm Based BCI
14.) BCI device for paralysed patient
15.) PC & Pocket PC based BCI architectures
16.) EEG based brain computer interfaces
17.) Rapid Prototyping of an EEG-based Brain-Computer Interface (BCI)
18.) Signal extraction for Brain computer interface
19.) Statistical modelling for adaptive Brain computer interface
20.) A flexible Brain Computer Interface for applications ranging from video game to virtual environment
21.) Classification of Brain computer interface data
22.) Functional Near IR spectroscopy for adaptive BCI
23.) The non-invasive Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects
24.) Development of a neuronal motor prosthesis for the restoration of movement in paralyzed people
25.) Discriminating sounds from the human electrocorticogram for brain-computer interfaces
26.) Performance and control error related neuronal signals in human ECoG recordings
27.) Decoding Performance for Hand Movements: EEG vs. MEG
28.) Movement onset related changes in ECoG recordings
29.) Human brain-machine interfacing based on epicortical field potentials
30.) Neuronal encoding of movement in motor cortical networks
31.) Prediction of Arm Movement Trajectories from ECoG-Recordings in Humans
32.) Hand movement direction decoded from MEG and EEG
33.) Movement Related Activity in the High Gamma Range of the Human EEG
34.) Applicability of hand movement decoding in MEG-based Brain-Machine-Interfaces
35.) Identification of Natural Grasps in Human ECoG Signals
36.) Representation of arm movement parameters in the EEG
37.) Unsupervised adaptive kalman-filter for decoding non-stationary brain-signals
38.) Human brain-machine interfacing based on epicortical field potentials
39.) Spatiotemporal mapping of information about arm movement direction using high-resolution EEG
40.) Decoding of movement from electrocorticographic (ECoG) recordings in human sensorimotor cortex – a potential basis for a brain-machine interface
41.) Portable Electroencephalogram Biofeedback Device
42.) Design and development of visual evoked potentials recording system for diagnosis of optic nerve diseases
43.) Wireless neural data acquisition system
44.) Design and evaluation of Human computer interaction using electro-oculography
45.) Development and Performance Evaluation of a Neural Signal-based Assistive Computer Interface
46.) Non-invasive brain actuated control of a mobile robot using human EEG
47.) Brain Computer Interface Cursor Measures for Motion-impaired and Able-bodied Users
48.) Brain-Computer Interface for a Prosthetic Hand Using Local Machine Control and Haptic Feedback
49.) Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials
50.) Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
51.) Single channel EEG based prosthetic hand grasp control for amputees
52.) Rapid Prototyping of a Single-Channel Electroencephalogram-Based? Brain- Computer Interface
53.) Real time eye blink suppression using neural adaptive filters for EEG based BCI
54.) Frequency component selection for EEG based BCI
55.) Designing and Fitting FES and Prosthetic Systems in a Virtual Reality Environment
56.) Artifact EEG detection in sleep EEG recording
57.) Integrated system for analysis and automatic classification of sleep EEG
58.) On-Line Evaluations of the LF-ASD BrainComputer Interface With Able-Bodied and Spinal-Cord Subjects Using Imagined Voluntary Motor Potentials
59.) Detection of event-related potentials for development of a direct brain interface
60.) Identification of finger flexions from continuous EEG as a brain computer interface
61.) Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
62.) De-trended fluctuation analysis of EEG in sleep apnea using MIT/BIH polysomnography data
63.) Artifact Removal from Electroencephalograms Using a Hybrid BSS-SVM Algorithm
64.) Pre-processing and time-frequency analysis of newborn EEG seizures
65.) Feature Attraction and Classification of Mental EEG Using Approximate Entropy
66.) Analysis of Sleep Fragmentation and Sleep Structure in Patients With Sleep Apnea and Normal Volunteers
67.) P300 Detection for Brain-Computer Interface from Electroencephalogram contaminated by Electrooculogram
68.) Simple Gesture Recognition of Bio-Potential Signals and Its Application to Hands-Free Manipulation System

69.) Prediction of Multiple Movement Intentions from Contingent Negative Variation (CNV) Signal for Multi-Dimensional BCI

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