Zobrazeno 1 - 10
of 765
pro vyhledávání: '"S S, Mehta"'
Autor:
Dr. S. S. Mehta, Shubhi Kulshrestha
This paper proposes an algorithm using Empirical Mode Decomposition (EMD) and k-means for the detection of QRS complexes present in the ECG signal. EMD is an innovative method for decomposing any time varying, nonlinear and non-stationerysignal into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::071b33fa077cba9d79fb0d48543007f3
Autor:
S S Mehta-Lee
Publikováno v:
BJOG: An International Journal of Obstetrics & Gynaecology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5cc8bc4daf3621317c5db7a65b2ee94
https://doi.org/10.1111/1471-0528.16307
https://doi.org/10.1111/1471-0528.16307
Publikováno v:
International Journal of Electronics Signals and Systems. :133-138
The monitoring of heart had been a complex task. Acquiring ECG of the chronic patient spending most of their time outside the hospital had been a trivial task. Recording of ECG of such patients using wireless method is further challenging. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b2fa00132ffd994030a9107c5322556
https://doi.org/10.47893/ijess.2013.1154
https://doi.org/10.47893/ijess.2013.1154
Publikováno v:
International Journal of Electronics Signals and Systems. :71-75
Virtual reality (VR) encompasses a number of surgical research topics, including computer graphics, imaging, visualization, simulation, data fusion and telemedicine. In this paper we define virtual reality and each of these areas, focusing on a state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39876a46de2abf7bdb42cc770b09e929
https://doi.org/10.47893/ijess.2013.1142
https://doi.org/10.47893/ijess.2013.1142
Three-dimensional ultrasound (3-D US) is a non-invasive method of producing whole volume images of solid structures. Early work on prostate imaging identified several advantages over 2-D imaging with a good ability to detect intraprostatic lesions. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a362d4370e97f6c6e9e1c816f150919a
https://ora.ox.ac.uk/objects/uuid:408f111f-12b8-461e-966a-07b662c0b2c2
https://ora.ox.ac.uk/objects/uuid:408f111f-12b8-461e-966a-07b662c0b2c2
Publikováno v:
IRBM. 31:48-54
Electrocardiogram (ECG) is an important bioelectrical signal used to asses the cardiac state of a patient. It consists of a recurrent wave sequence of P-wave, QRS-complex and T-wave associated with each beat. The QRS-complex is the prominent feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be98311ead0a56683136daec29595b04
https://doi.org/10.1016/j.irbm.2009.10.001
https://doi.org/10.1016/j.irbm.2009.10.001
Publikováno v:
Expert Systems. 26:125-143
This paper presents an efficient method for the detection and delineation of P and T waves in 12-lead electrocardiograms (ECGs) using a support vector machine (SVM). Digital filtering techniques are used to remove power line interference and baseline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3150b0bcf6600ea6126f264799bf66
https://doi.org/10.1111/j.1468-0394.2008.00486.x
https://doi.org/10.1111/j.1468-0394.2008.00486.x
Autor:
S. S. Mehta, N. S. Lingayat
Publikováno v:
Expert Systems with Applications. 36:820-828
A method for the detection of QRS complexes in 12-lead electrocardiogram (ECG) using support vector machine (SVM) is presented in this paper. Digital filtering techniques are used to remove base line wander and power line interference. SVM is used fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f9dc5b2e14f83607fbb2f56deae5718
https://doi.org/10.1016/j.eswa.2007.10.007
https://doi.org/10.1016/j.eswa.2007.10.007
Autor:
N. S. Lingayat, S. S. Mehta
Publikováno v:
Computer Methods and Programs in Biomedicine. 93:46-60
Electrocardiogram (ECG) is characterized by a recurrent wave sequence of P, QRS and T-wave associated with each beat. The performance of the computer-aided ECG analysis systems depends heavily upon the accurate and reliable detection of these compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e38adad30c0ba43abbee7888e8721e60
https://doi.org/10.1016/j.cmpb.2008.07.014
https://doi.org/10.1016/j.cmpb.2008.07.014
Autor:
N. S. Lingayat, S. S. Mehta
Publikováno v:
IRBM. 29:310-317
Among all electrocardiogram (ECG) components, the QRS complex is the most significant feature. This paper presents a new algorithm for recognition of QRS complexes in the electrocardiogram (ECG) based on support vector machine (SVM). Digital filterin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d003293db4b7df48ffff830bded1dc07
https://doi.org/10.1016/j.rbmret.2008.03.006
https://doi.org/10.1016/j.rbmret.2008.03.006