Shafriza Nisha Basah, Assoc. Prof. Ts. Dr.
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33009
This page provides access to scholarly publications by UniMAP Faculty members and researchers.2024-03-28T13:18:08ZCFD analysis on mismatched end-to-end internal diameter of RSVG Models
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35045
CFD analysis on mismatched end-to-end internal diameter of RSVG Models
M. N., Rahman Y.; Shahriman, Abu Bakar, Dr.; Siti Khadijah, Za'aba, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sharifah Roohi, Syed Waseem Ahmad; Hazry, Desa, Assoc. Prof. Dr.; Ahmad Helmy, Abdul Karim M.D.; Shafriza Nisha, Basah, Dr.; Cheng, Ee Meng, Dr.; Mohd Afendi, Rojan, Dr.
A digital arterial disease in upper extremity is uncommon happened compare to arterial
disease in lower extremity. A surgical vein graft interposition is performed as
revascularization procedure. However, mismatching between end-to-end internal
diameter of reverse saphenous vein graft (RSVG) and existing digital artery cause
blockage in RSVG vessel. In previous study, size discrepancy (small to large) in vessel
causes the abnormal blood flow and will initiate the thrombosis formations as stated by
Rory F. et al. Furthermore, their previous study is also supported by clinical theory as
written in Wilmer W. et al. and Krishnan B. Chandran et al. s’ text books. The main goal
of this study is to analyze the relationship the patterns of blood flow through
mismatching between end-to-end internal diameter of RSVG models and existing digital
artery (large to small) with effect to the initiation of thrombus formation in RSVG models. A Three-dimensional Computational Fluid Dynamic (3-D CFD) method is employed to investigate blood flow velocity, blood pressure gradient and wall shear stress (WSS) on ideal straight (well matched between internal diameter of RSVG and recipient arteries) and internal diameter mismatched of end-to-end RSVG models. In this experiment, we expect that steady state laminar blood flow demonstrates abnormal flow pattern in mismatched internal diameter RSVG models compared to an ideal straight model. As conclusion, any abnormal blood flow pattern will initiate the formation of thrombus and reduce the vein graft survival.
Link to publisher's homepage at http://www.aensiweb.com/
2014-03-01T00:00:00ZIn vitro evaluation of finger's hemodynamics for vein graft surveillance using electrical bio-impedance method
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34893
In vitro evaluation of finger's hemodynamics for vein graft surveillance using electrical bio-impedance method
Lee, Hoi Leong; Shahriman, Abu Bakar, Dr.; Sazali, Yaacob, Prof. Dr.; Zuradzman, Mohamad Razlan, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Zunaidi I.B; Cheng, Ee Meng, Dr.; Siti Khadijah, Za'aba, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Afendi, Rojan, Dr.; Sharifah Roohi, Syed Waseem Ahmad
Electrical bio-impedance measurement has great potential in many biomedical applications including vein graft surveillance. Studies have shown that thrombosis was
the major cause of the vein graft failure. The meticulous skills of the surgeon and effective postoperative surveillance of vein graft remain the cornerstones of clinical
success in the current surgical management of vein graft survival. Vascular blood flow is
the key clinical indicators for the evaluation of patency of the vein graft and ensuring the
patient’s quality of life. In this work, electrical bio-impedance method has been proposed
as an alternative to the existing surveillance method as it is non-invasive, portable, easy
applicable in practice, fast response, radiation free, and required only low-cost
instrumentation. It was employed to measure pulsatile changes in longitudinal
bio-impedance to quantify arterial blood flow and blood volume. We expect that by
measuring the changes in tissue bio-impedance which can be used to evaluate important peripheral hemodynamic, it allows the detection of early stage stenosis within vascular and vein graft as well as estimate its severity with predetermined normative data provided.
Link to publisher's homepage at http://www.aensiweb.com/
2014-03-01T00:00:00ZInfant hungry recognition based on k-NN and Autoregressive Model
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34215
Infant hungry recognition based on k-NN and Autoregressive Model
Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Nazri, Rejab
To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based on their facial expression. A Haar Cascade face detection method was implemented. Autoregressive Model (AR) was employed for the coefficient extraction. Some other statistical methods were used as the feature extraction. Finally k-Nearest Neighbour (k-NN) with 96.78% accuracy was accepted.
Link to publisher's homepage at www.aspbs.com/
2013-11-01T00:00:00ZConditions for motion-background segmentation using fundamental matrix
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33953
Conditions for motion-background segmentation using fundamental matrix
Shafriza Nisha, Basah, Dr.; Bab-Hadiashar, Alireza; Hoseinnezhad, Reza
In common motion segmentation and estimation applications, where the exact nature of objects’ motions and the camera parameters are not known a priori, the most general motion model (the fundamental matrix) is applied. Although the estimation of a fundamental matrix and its use for motion segmentation are well understood, the conditions governing the feasibility of segmentation for different types of motions are yet to be discovered. In this work, the authors study the feasibility of separating motions of a 3D object from its static background using the fundamental matrix. The authors theoretically prove that a pure translational motion cannot be separated from its static background and the success of motion background segmentation depends on the rotational part of the motion. An extensive set of controlled experiments using both synthetic and real images was conducted to validate the theoretical results. In addition, the authors quantified the conditions for successful motion-background segmentation in terms of the minimum required rotation angle. These results are useful for practitioners designing motion segmentation or estimation solutions for computer vision problems.
Link to publisher's homepage at http://ieeexplore.ieee.org/
2009-01-01T00:00:00Z