IEEE BIO- medical - BRAIN-COMPUTER INTERFACE & EEG 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