ECG / ARRHYTMIA based Project topics

1.) Design of Holter ECG System Based on MSP430 and USB Technology
2.) Design & construction of 12 lead ECG system
3.) A Practical Approach Concerning Heart Rate Variability Measurement and
Arrhythmia Detection Based on Virtual Instrumentation
4.) Arrhythmia diagnosis using morphology and timing from atrial and ventricular leads
5.) Design of cardiac arrhythmia detection system
6.) Device for measurement of surface arterial volume measurement
7.) Wireless ECG device with Bluetooth & communication to a PDA / Bluetooth-enabled ECG Monitoring System
8.) Clustering Based Cardiac Resynchronization Therapy Prediction using Open Source Toolkit PRTools
9.) Cardiac arrhythmia classification using autoregressive modelling
10.) LabVIEW based cardio-respiratory monitor
11.) Development of Automated 12-Lead QT Dispersion Algorithm for Sudden Cardiac Death
12.) Analysis of Multi-Lead QT Dispersion by Means of an Algorithm Implemented on LabVIEW
13.) Bayesian ANN Classifier for ECG Arrhythmia Diagnostic System
14.) Modelling and simulation of skin-stretch-caused motion artefacts in single-channel ECG signal
15.) Design and Development of a Knowledge driven Web based ECG Data monitoring and
Diagnostic Tool in Lab-view
16.) High resolution ECG and MCG mapping: simulation study of single and dual accessory pathways and influence of lead displacement and limited lead selection on localisation results
17.) Design of USB based ECG monitor
18.) Design of tiny ECG monitoring system
19.) ECG Application Featuring Data Transmission by Bluetooth
20.) A portable system for acquiring and removing motion artefact from ECG signals
21.) Heart Rate Detection From Plantar Bioimpedance Measurements
22.) Heart rate monitoring using mobile communication
23.) Development of a Matlab Software for Analysis of Heart Rate Variability
24.) Remote electrocardiogram monitoring using internet
25.) Microcontroller based ECG monitoring system
26.) Enhancement of R wave detection in ECG data analysis using higher order statistics
27.) The Construction of a Volumetric Cardiac Model for Real-time ECG Simulation
28.) Neural Network based adaptive matched filtering for QRS detection
29.) Genetic design of optimum linear and non-linear QRS detectors
30.) Application of artificial neural and Fuzzy-neural networks to QRS detection and PVC diagnosis
31.) Realtime discrimination of ventricular tachyarrhythmia with Fouriertransform neural network
32.) ECG rhythm classification using artificial neural networks
33.) Application of artificial neural networks to QRS detection and LVH diagnosis
34.) Assessment of selected ECG voltage criteria for abnormality in eccentric and concentric Left Ventricular Hypertrophy
35.) Modelling of hypertensioninduced Left Ventricular Hypertrophy
36.) Device for Cardiac Heart Vector Display
37.) Electronic Cardiac Arrhythmia Signal Generator
38.) Handlebar Heart Rate Meter
39.) Digital Doppler Ultrasound Fetal Heart Rate Monitor
40.) A wireless ECG system for continuous event recording and communication to a clinical alarm station
41.) FPGA based real time ECG monitoring system
42.) A Pocket size arrhythmia monitoring system
43.) CONVERSION OF THE AMBULATORY ECG TO THE STANDARD 12-LEAD ECG
44.) Automated assessment of endocardial electrograms fractionation in human

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

BIOINFORMATICS PROJECTS

                                        Abstract of this biometric paper-presentation 

Biometrics is the technique of using unique, non-transferable, physical characteristics, such as fingerprints, to gain entry for personal identification. This replaces pin codes and passwords, which can be forgotten, lost or stolen. Biometric IDs cannot be transferred.

Biometrics are best defined as measurable physiological and / or behavioral characteristics that can be utilized to verify the identity of an individual. They are of interest in any area where it is important to verify the true identity of an individual. Initially, these techniques were employed primarily in specialist high security applications, however we are now seeing their use and proposed use in a much broader range of public facing situations. Biometrics measure individuals' unique physical or behavioral characteristics to recognize or authenticate their identity. Common physical biometrics include fingerprints; hand or palm geometry; and retina, iris, or facial characteristics. Behavioral characters include signature, voice (which also has a physical component), keystroke pattern, and gait. Of this class of biometrics, technologies for signature and voice are the most developed. Now a days the biometrics technology is preferred by many organization for the security purpose and in coming future we will see the same technology in ATM machine, telephone transactions, internet transactions and so on.

Biometrics are not a future technology, they are a current technology, with a bigger role in the future. Biometrics will not to replace passwords, swipe cards, or pin numbers etc, rather work with them in enhancing security in a simple, reliable, and cost effective way.

List of project titles

•  INSILICO BINDING ANALYSIS OF SCH 66336-DERIVATIVE WITH FARNESYLTRANSFERASE
•  MOLECULAR MODELING AND DOCKING STUDY OF ACHE INHIBITOR €Œ HELICID DERIVATIVE
•  MOLECULAR DOCKING STUDY OF STYRYLQUINOLINE WITH HIV-INTEGRASE
•  HIGH THROUGHPUT VIRTUAL SCREENING USING CDK-2
•  MOLECULAR DOCKING STUDY OF 1H-PYRAZOLE DERIVATIVE WITH COX-2
•  HIGH THROUGHPUT SCREENING OF ANTICANCER TARGETS USING HSP90
•  MOLECULAR DOCKING STUDY OF NAPHTHYL BENZISOXAZOLE DERIVATIVE WITH ESTROGEN RECEPTOR-BETA
•  MOLECULAR DOCKING STUDY OF ANTICANCER DRUGS WITH HDAC
•  MOLECULAR DOCKING STUDY OF THIOUREA DERIVATIVE WITH NEURAMINIDASE
•  MEDICNAL PLANT DATABASE
•  HOMOLOGY MODELING OF TARGET PROTEINS / ENZYMES USING MODELLER9V4
• ACTIVE SITE ANALYSIS BY MUTATION AND MOLECULAR DOCKING PROCESS
•  CONFORMATIONAL ANALYSIS OF PROTEIN / ENZYME USING GROMACS-3.3.1
•  HTVS OF NCI-DIVERSITY FOR P53 USING DOCK6.1
•  MOLECULAR DOCKING STUDIES USING AUTODOCK-3.1