International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-10, August 2019 4004 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number J97960881019/2019©BEIESP DOI: 10.35940/ijitee.J9796.0881019 Abstract: Detection of artifacts produced in EEG data by eye blinks is a very common problem in EEG research. In this paper we address the detection of eye blink artifacts in a motor imagery (MI) EEG data. Artifacts are nothing but some kind of disturbances present in the brain signal whose origin is not the brain itself. Detection of unwanted artifacts plays a crucial role to acquire artifact free and clean brain EEG signals to analyze and detect brain activities. There are generally two ways of generation of artifacts. From a recorded signal most common and important artifacts in the form of eye blinks are recognized and encapsulated. In this paper a new software tool named BRAINSTORM is introduced for the detection of eye blink artifacts. Keywords: EEG, MI data, artifacts, BRAINSTORM I. INTRODUCTION The EEG is the electrical signals from brain which are evaluated by putting electrodes over the scalp of the head.[1] Generally, the magnitude of an EEG signal generally ranges from 40 V to 100 V with 0 to 100 Hz range of frequencies. [2]Inside the brain, the bioelectrical signals are associated with ionic operation which arises due to electrochemical activities resulting in electric current.[9] When membrane channels of cells open, there is a increase in potential. Hence ion may diffuse across the membrane, and hence there is an existence of positive electric charge. In the biological neural system, the axon channel and dendrite are joined through a synaptic weight, which carries the signal from one neuron to the next as shown in fig1.[9] The artifacts are present in EEG signals which are generally considered as some kind of disturbances or interferences in a signal. There are numerous artifacts which can be divided into external and internal. According to research and study, it is justified that external activities of brain results in external artifacts whereas actions within the brain gives rise to internal artifacts. The frequency content of an artifact is generally 50Hz. The same scenario arises in recordings which use a battery as power source. A uniform electric field is produced by the surrounding walls and electric cables. Along with this, due to generation of electromagnetic fields, the measured signals get interrupted by external devices. [3] Revised Manuscript Received on August 12, 2019. Mrs. Ashima Sindhu Mohanty, Dept. of Electronics and communication engineering, GIET University, Gunupur, india Mr. Akshya Kumar Sahoo, Dept. of Electrical Engineering, GIET University, Gunupur, india Dr. Krishna Chandra Patra, Dept. of Electronics and communication engineering, GIET University, Gunupur, india II. COLLECTION OF DATA The Motor imagery EEG data is collected from PhysioNet online data storage, which offers free web access to large collections of recorded physiologic signals (PhysioBank) and related open-source software (PhysioToolkit). Different databases like clinical database, waveform Database, Multi-parameter database, ECG database, Interbeat (RR) Interval Databases, Other Cardiovascular Databases, Gait and Balance Databases, Neuroelectric and Myoelectric Databases. EEG, EHG, Image Databases and Synthetic Data. The EEG Motor Movement/Imagery Dataset is present in Neuro electric and Myoelectric Databases. [4] This data set collected, has of over 1500 one- and two-minute EEG recordings, obtained from 109 Subjects performed different motor/imagery tasks while 64-channel EEG were recorded using the BCI2000 system clearly explained in the data set. 14 experiments are performed by each subject including 2 one minute baseline runs with eyes opened and closed one after another and 3 two minute runs with the following activities[4] Detection of Human Brain Activities in a Normal Human being Ashima Sindhu Mohanty, Krishna Chandra Patra, Akshya Kumar Sahoo