Feature Extraction and Application of Bio-Signal
Iswanto Iswanto1, Bakhtiar Abbas2, V. Gomathy3, K. Shankar4, Phong Thanh Nguyen5, Wahidah Hashim6, Andino Maseleno7
1Iswanto Iswanto, Department of Engineer Profession Program, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
2Bakhtiar Abbas, Sekolah Tinggi Ilmu Ekonomi Enam Enam, Indonesia
3V. Gomathy, Associate Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
4K. Shankar, Department of Computer Applications, Alagappa University, Karaikudi (Tamil Nadu), India.
5Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
6Wahidah Hashim, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
7Andino Maseleno, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 960-964 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12900886S219/19©BEIESP | DOI: 10.35940/ijeat.F1290.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Biosignals have turned into a significant pointer for medical diagnosis and consequent treatment, yet in addition uninvolved health monitoring. Extracting important highlights from biosignals can help individuals comprehend the human useful state, with the goal that up and coming unsafe side effects or disease can be lightened or stayed away from. There are two fundamental methodologies ordinarily used to get valuable highlights from biosignals, which are hand-engineering and deep learning. Most of the examination in this field centers around hand- engineering highlights, which require space explicit specialists to structure calculations to remove important highlights. In the most recent years, a few investigations have utilized profound figuring out how to biologically take in highlights from crude biosignals to make include extraction calculations less reliant on people. Biosignals give correspondence among biosystems and are our essential wellspring of data on their conduct. Translation and change of signal are significant subjects of this content. Biosignals, similar to all signal, must be conveyed by some type of vitality. Biosignals can be estimated straightforwardly from their biological source, however frequently outer vitality is utilized to gauge the cooperation between the physiological framework and outside vitality. Estimating a biosignal involves changing over it to an electric signal utilizing a device known as a biotransducer. The resultant analog signal is frequently changed over to an advanced (discrete-time) signal for preparing in a PC. These investigations have likewise shown promising outcomes in an assortment of biosignal applications. In this overview, we audit various kinds of biosignals and the principle ways to deal with concentrate highlights from the signal with regards to biomedical applications.
Keywords: Biosignals, EEG, BCI, ECG, EMG.
Scope of the Article: Computational Biology