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Dive into the research topics where Azrulhizam Shapi'i is active.

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Featured researches published by Azrulhizam Shapi'i.


BioMed Research International | 2015

A Game System for Cognitive Rehabilitation

Azrulhizam Shapi'i; Nor Azan Mat Zin; Ahmed Mohammed Elaklouk

Brain injury such as traumatic brain injury (TBI) and stroke is the major cause of long-term disabilities in many countries. The increasing rate of brain damaged victims and the heterogeneity of impairments decrease rehabilitation effectiveness and competence resulting in higher cost of rehabilitation treatment. On the other hand, traditional rehabilitation exercises are boring, thus leading patients to neglect the prescribed exercises required for recovery. Therefore, we propose game-based approach to address these problems. This paper presents a rehabilitation gaming system (RGS) for cognitive rehabilitation. The RGS is developed based on a proposed conceptual framework which has also been presented in this paper.


International Journal of Computer Science and Information Technology | 2011

AN AUTOMATED SIZE RECOGNITION TECHNIQUE FOR ACETABULAR IMPLANT IN TOTAL HIP REPLACEMENT

Azrulhizam Shapi'i; Riza Sulaiman; Mohammad Khatim Hasan; Abdul Yazid Mohd Kassim

Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the implant size recognition process can be effectively implemented. For this purpose, we have introduced the new technique for acetabular implant size recognition in THR preoperative planning based on the diameter of acetabulum size. This technique enables the surgeon to recognise a digital acetabular implant size automatically. Ten randomly selected X-rays of unidentified patients were used to test the accuracy and utility of an automated implant size recognition technique. Based on the testing result, the new technique yielded very close results to those obtained by the observational method in nine studies (90%).


international visual informatics conference | 2011

A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning

Azrulhizam Shapi'i; Riza Sulaiman; Mohammad Khatim Hasan; Anton Satria Prabuwono; Abdul Yazid Mohd Kassim; Hamzaini Abdul Hamid

Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and the best position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the implant size recognition process can be effectively implemented. For this purpose, we have introduced the new technique for acetabular implant size recognition in THR preoperative planning based on the diameter of acetabulum size. This technique enables the surgeon to recognise a digital acetabular implant size automatically based on the two points selected on the patients acetabulum. Based on the testing result, the average time taken for the acetabular implant templating process in preoperative planning using a new automated technique was much less than using the digital line distance method.


international conference on electrical engineering and informatics | 2011

Design of Total Hip Replacement digital templating software

Azrulhizam Shapi'i; Anton Satria Prabuwono; Mohammad Khatim Hasan; Riza Sulaiman; Abdul Yazid Mohd Kassim; Nor Hazla Mohamed Hafla

In this study, by taking full advantage of digital X-ray and information technology, we have developed a semi-automated procedure to template hip implants, by making use of digital templating techniques. Using this approach, a software system called OrthoHip™ has been developed. The OrthoHip™ templating process uses a similar technique to that used by an orthopaedic surgeon, using manual templates over general X-ray films. From an image of patients X-ray, the OrthoHip™ template helps in quickly and easily selecting to the approximate template size needed. The visual templating features then allow the user to quickly review multiple template sizes against the X-ray and to thus obtain a nearly precise image of the implant size required. The system can assist by templating the patients image and generating database reports that can accompany the patients notes. The software system was implemented in Java programming, using object-oriented techniques to manage the graphics and objects. The approaches for image scaling used in this research also will be discussed. The study compared the results of the semi-automated (using digital templating) method to the conventional or observational method to demonstrate the accuracy and the utility of the system.


International Journal on Advanced Science, Engineering and Information Technology | 2011

Information Retrieval Technique in Medical Imaging Technology

Azrulhizam Shapi'i; Riza Sulaiman; Anton Satria Prabuwono; Mohammad Khatim Hasan; Abdul Yazid Mohd Kassim


European journal of scientific research | 2010

Scaling technique for digital implant in medical images using pixel density algorithm

Azrulhizam Shapi'i; Riza Sulaiman; Mohammad Khatim Hasan; Abdul Yazid Mohd Kassim; Suhail Abdullah


Journal of King Saud University - Computer and Information Sciences archive | 2015

Investigating therapists' intention to use serious games for acquired brain injury cognitive rehabilitation

Ahmed Mohammed Elaklouk; Nor Azan Mat Zin; Azrulhizam Shapi'i


international visual informatics conference | 2013

Game Design for Acquired Brain Injury Cognitive Rehabilitation: A Conceptual Framework

Ahmed Mohammed Elaklouk; Nor Azan Mat Zin; Azrulhizam Shapi'i


international conference on biomedical engineering | 2015

Rehabilitation exercise game model for post-stroke using Microsoft Kinect camera

Azrulhizam Shapi'i; Nurazlin Nor Bahari; Haslina Arshad; Nor Azan Mat Zin; Zainal Rasyid Mahayuddin


Procedia Technology | 2013

Implant Size Detection Algorithm for Digital CPT Stem in Total Hip Arthroplasty

Azrulhizam Shapi'i; Zainal Rasyid Mahayuddin; Anton Satria Prabuwono; Riza Sulaiman

Collaboration


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Riza Sulaiman

National University of Malaysia

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Mohammad Khatim Hasan

National University of Malaysia

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Abdul Yazid Mohd Kassim

National University of Malaysia

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Anton Satria Prabuwono

National University of Malaysia

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Nor Azan Mat Zin

National University of Malaysia

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Ahmed Mohammed Elaklouk

National University of Malaysia

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Zainal Rasyid Mahayuddin

National University of Malaysia

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Anton Satria

National University of Malaysia

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Hamzaini Abdul Hamid

National University of Malaysia

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Haslina Arshad

National University of Malaysia

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