Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Asiya M. Al-Busaidi"'
Autor:
Ibrahim M. H. Rahman, Simon Park, Kyungjin Cha, Osama M. Hussain Rehman, Asiya M. Al-Busaidi, Zaroon Farrukh
Publikováno v:
SMA
Cancer is a global challenge and the second leading cause of death worldwide as reported by the World Health Organization. With the current global pandemic caused by the novel coronavirus, cancer patients are identified as having increased risk of mo
Autor:
Asiya M. Al-Busaidi, Lazhar Khriji
Publikováno v:
2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).
The QRS complexes (R-peaks) in the electrocardiogram (ECG) signals are essential features as they provide information for the diagnosis of heart diseases. Because detection accuracy is a major concern in clinical practices, most of the detection meth
One of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous EC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f867f7a07eb3a60e1b4e3082c6b7411
https://hdl.handle.net/10576/16970
https://hdl.handle.net/10576/16970
Publikováno v:
Journal of Manufacturing Science and Engineering. 137
In the last decade, traditional tube expansion process has found an innovative application in oil and gas wells drilling and remediation. The ultimate goal is to replace the conventional telescopic wells to monodiameter wells with minimum cost, which
Publikováno v:
2015 IEEE 8th GCC Conference & Exhibition.
Compression of Electrocardiogram signal is important for digital Holters recording, signal archiving, transmission over communication channels and Telemedicine. This paper introduces an effective real-time compression scheme to overcome the limitatio
Autor:
Asiya M. Al-Busaidi, Lazhar Khriji
Publikováno v:
BIOSIGNALS
This paper presents a development of new size-controlled compression algorithm for Electrocardiogram signal (ECG). Discrete Wavelet Transform (DWT) method, Bit-Field Preserving (BFP) and Running Length Encoding (RLE) are selected as compression tools
Autor:
A M Noor, Waiser Mehmood, Asiya M. Al-Busaidi, W.M.N.M.W. Musa, Mohd Fadlee A. Rasid, Lazhar Khriji, N A A Kadir, A. Ben Mnaouer, Farid Touati
Publikováno v:
2014 2nd International Conference on Information and Communication Technology (ICoICT).
The continuous advancement in computer and communication technologies has made personalized healthcare monitoring a rapidly growing area of interest. New features and services are envisaged, raising users' expectations in healthcare services. The eme
Autor:
Lazhar Khriji, Asiya M. Al-Busaidi
Publikováno v:
2013 International Conference on Control, Decision and Information Technologies (CoDIT).
This paper demonstrates the ability of designing a low-cost, flexible and modular health-care device to sense the Electrocardiography (ECG) signal of the heart. The design is made of two sensing electrodes, analog amplifiers and a low-cost microcontr
Autor:
Asiya M. Al-Busaidi
Publikováno v:
2012 9th France-Japan & 7th Europe-Asia Congress on Mechatronics (MECATRONICS) / 13th Int'l Workshop on Research and Education in Mechatronics (REM).
This paper describes the development of innovative low-cost educational platform to study and control a biped robot in real-time using MATLAB and Arduino board. MATLAB was used as a control and visualization environment, while the Arduino board was u
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2012 ISBN: 9783642332685
ICANN (1)
ICANN (1)
Neural Oscillators are network of neurons that produce smooth oscillatory/rhythmic pattern. In this paper, a simple network of Matsuoka oscillators is used to generate the bipedal locomotion by coordinating the joint angle using a new method of coord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30bfbb5d4254a6a5d3ee295872b5215a
https://doi.org/10.1007/978-3-642-33269-2_39
https://doi.org/10.1007/978-3-642-33269-2_39