4 research outputs found
Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis
No full textAbstractElectroencephalograph (EEG) signals associated with motor imagery (MI) are highly non-Gaussian, non-stationary and have non- linear characteristics. Bispectral analysis is an advanced signal processing technique that quantifies quadratic non-linearities (phase-coupling) among the components of a signal and holds promise for characterizing MI-related EEG. Studies have been reported on the applicability of bispectrum for MI classification; often with different choice of high order spectra features. Question remains as to which of the different features of non-linear interactions over frequency components are best suited for MI classification. In this paper, an analysis based on bispectrum is reported to extract multiple high order spectra features of EEG for MI classification. MI signals from C3 and C4 channels for two tasks are used in the analysis. Based on bispectrum analysis, four high order spectra features are extracted. The classification results indicate that the extracted features could differentiate the two MI tasks with an accuracy of 90±4.71%
Isolation, identification and antibiotic sensitivity pattern of Escherichia coli isolated from various clinical sample in a tertiary care hospital, Jaipur, Rajasthan, India
Get PDFBackground: Escherichia coli is one of the most frequent causes of many bacterial infections, including Urinary Tract Infections (UTI), blood stream infections, otitis media, pneumonia, meningitis, traveler’s diarrhoea, enteric infections and systemic infections. This study was done with the aim to surveying antibiotic sensitivity pattern of isolated Escherichia coli in both sex attended in NIMS Hospital, Jaipur under the taken time period.Methods: In this cross-sectional study, 62 Escherichia coli were isolated from various clinical specimens of the patients attending both OPD and IPD. The strains were selected using the laboratory standard methods and culture-specific. The antibiotic susceptibility testing was performed using Kirby-Bauer disk diffusion method.Results: Out of total 62 isolates of Escherichia coli 26(41.93%) isolates were from male while 36(58.064%) from female patients. Maximum sensitivity were shown by Polymyxin B and Colistin i.c 100% followed by Nitrofuratonin 82.5% followed by Meropenem 79.03%, Aztreonam 72.58%, Piperacillin/ Tazobactam and Ciprofloxacin 61.30%, each Amikacin 56.45%, Imipenem 54.83%, Ofloxacin 45.16%, Cefepime 43.54%, Ceftazidime 38.71%, Gentamycin and Ceftriaxone 37.09% each, Cefotaxime 30.64%, Norfloxacin 27.5%. Maximum resistance shown against Norfloxacin 72.5%, followed by Gentamycin and Ceftriaxone 62.90%, Ceftazidime 61.30%.Conclusions: Escherichia coli infected more in urinary tract infection as compare to other sample in human, and it is common in female than male. Regular monitoring of antimicrobial susceptibility for E.coli is recommended to improve treatment. A changing trend in antibiotic sensitivity profile of the isolates need to be monitored as there is limited availability of newer drugs and the emergence of resistant bacteria far exceeds the rate of new drug development
Proceedings of Intelligent Computing and Technologies Conference
Get PDFThis proceeding contains articles on the various research ideas of the academic community and practitioners presented at the Intelligent Computing and Technologies Conference (ICTCon2021). ICTCon2021 was jointly organized by Assam Science and Technology University (ASTU), and Central Institute of Technology Kokrajhar (CITK) on March 15th–16th, 2021.
Conference Title: Intelligent Computing and Technologies ConferenceConference Acronym: ICTCon2021Conference Date: 15–16 March 2021Conference Location: Online (Virtual Mode)Conference Organizers: Assam Science and Technology University (ASTU) and Central Institute of Technology Kokrajhar (CITK)
