Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sandeep Bavkar"'
Publikováno v:
IEEE Access, Vol 7, Pp 99670-99682 (2019)
Alcoholism is a socio-economical syndrome in which human being may lose his/her health and wealth. The paper reports a novel approach for the rapid detection of alcoholism using Electroencephalogram (EEG) sensor. The proposed method employs absolute
Externí odkaz:
https://doaj.org/article/22b0cfcf87fa4806b1a4c9d19f2cd341
Publikováno v:
Biocybernetics and Biomedical Engineering. 41:83-96
Alcoholism can be analyzed by Electroencephalogram (EEG) data. Finding an optimal subset of EEG channels for alcoholism detection is a challenging task. The paper reports a new methodology for the detection of optimal channels for alcoholism analysis
Publikováno v:
2020 International Conference on Emerging Smart Computing and Informatics (ESCI).
Alcoholism is a disease where a person loses control over the mind and start drinking a large amount of alcohol. Detection of alcoholism in person plays a significant role in avoiding an accident in a hazardous area. Alcohol disturbs the neuronal sys
Publikováno v:
SSRN Electronic Journal.
The main aim of the article is to discuss the discriminative features of EEG for alcoholism analysis. EEG signals are non-stationary and complex for analysis. The paper reports a brief discussion on different feature extraction and selection methods
Publikováno v:
SSRN Electronic Journal.
The main aim of the paper is to process real-time data acquisition under irrigation automation; hence it is essential to monitor and control irrigation parameters like water, moisture, humidity, temperature according to plant requirement. Adapting a
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811387142
Selection of optimal channels for alcoholic detection is a major issue in recent year. Advance knowledge of brain region or EEG channels, most affected by alcohol, will reduce the computational complexity and new EEG recording device can be designed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::166ad54e4394d74b2f1f4b294105feb8
https://doi.org/10.1007/978-981-13-8715-9_6
https://doi.org/10.1007/978-981-13-8715-9_6
Publikováno v:
Distributed Computing and Internet Technology ISBN: 9783030053659
ICDCIT
ICDCIT
The excessive consumption of alcohol affects the brain neuronal system. Electroencephalogram signals convey information regarding alcoholic or normal status of a subject. The paper reports a novel method of detection of alcoholism using EEG hybrid fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4cffd8a9ad51af1360b0ba03db5a02
https://doi.org/10.1007/978-3-030-05366-6_13
https://doi.org/10.1007/978-3-030-05366-6_13