International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 10, No. 10, 8 Oct. 2018
Cover page and Table of Contents: PDF (size: 396KB)
Efficient Mathematical Procedural Model for Brain Signal Improvement from Human Brain Sensor Activities
Full Text (PDF, 396KB), PP.46-53
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Author(s)
Index Terms
Artificial intelligence, human brain sensor activities, human brain signal, proposed method, proposed neuroheadset device
Abstract
Human brain signals obtained by the human brain sensor electrodes measure the cerebral activities on the human brain. The main aim of our research is to improve the human brain activities based on the human brain signal. The entire procedure contains three steps. The first step is to acquire the brain signal, then develop this brain signal with the proposed method and finally improve the human brain activities with this modified brain signal. The entire procedure will proceed in a proposed Neuroheadset device embedded with necessary sensors using the non-invasive technique. This device will help to acquire the brain signal, modify this signal and improve the brain activities with this modified brain signal. In this research, we illustrated the first two steps like signal acquisition and signal modification. In the experiment, we used Electroencephalogram as an efficient non-invasive signal acquisition technique for acquiring the brain signal and also introduced a proposed method to modify this signal. This method helped to improve the human brain signal using the required times of the iteration process. In the experiment level, several iteration processes have been done to get above 90% improvement rate of the brainwaves. In this research, the improved signal has been considered based on the generated brain signal in various aspects like human intelligence, memory and also the capability of better feelings.
Cite This Paper
Rajib Chowdhury, A.F.M. Saifuddin Saif, " Efficient Mathematical Procedural Model for Brain Signal Improvement from Human Brain Sensor Activities ", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.10, No.10, pp. 46-53, 2018. DOI: 10.5815/ijigsp.2018.10.05
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