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  1. Zuki AB, Hafeez YM, Loqman MY, Noordin MM, Norimah Y
    Anat Histol Embryol, 2007 Oct;36(5):349-56.
    PMID: 17845224
    This study investigates the effect of preservation methods on the performance of bovine parietal pericardium grafts in a rat model. Mid-ventral full thickness abdominal wall defects of 3 x 2.5 cm in size were created in 90 male Sprague-Dawley rats (300-400 g), which were divided into three groups of 30 rats each. The abdominal defects of group one and two were repaired with lyophilized and glycerolized bovine pericardium grafts, while the defects of group three were repaired with expanded polytetrafluoroethylene (ePTFE) Mycro Mesh as a positive control. Another group of 30 rats underwent sham operation and was used for comparison as negative control. Each group of rats (n = 30) was divided into five subgroups (n = 6) and killed at 1, 3, 6, 9 and 18 weeks post-surgery for gross and morphological evaluations. The rats tolerated the surgical procedure well with a total mortality of 0.05%. No serious post-operative clinical complications or signs of rejection were encountered. Adhesions between the grafts and the underlying visceral organs observed in the study were mostly results of post-surgical complications. Glycerol preservation delayed degradation and replacement of the grafts, whereas lyophilization caused early resorption and replacement of the grafts. The glycerolized grafts were replaced with thick dense fibrous tissue, and the lyophilized grafts were replaced with thin loose fibrous tissue. The healing characteristic of the bovine pericardium grafts was similar to those of the sham-operated group, and quite different from those of the ePTFE Mycro Mesh. The outcome of the present study confirmed the superiority of glycerolized bovine pericardium grafts over its lyophilized counter part.
  2. Hafeez YM, Zuki AB, Loqman MY, Yusof N, Asnah H, Noordin MM
    Med J Malaysia, 2004 May;59 Suppl B:117-8.
    PMID: 15468846
    The aim of this study was to evaluate bovine pericardium surgical patch in rat model. Bovine pericardial sacs collected from local abattoir were cleaned, disinfected and cut into pieces of 3 by 2.5cm and preserved in 99.5% glycerol. Full thickness abdominal wall defects of 3 by 2.5 cm were created in 30 adult male Sprague Dawley rats and repaired with glycerol preserved pieces. The rats were serially sacrificed in a group of six rats at 1,3,6,9 and 18 weeks post-surgical intervals for morphological and tensometeric study. Macroscopically, no mortality or postoperative surgical complications was encountered except slight adhesions between implanted grafts and some visceral organs in 10% of the rats. Microscopically no calcification or foreign body giant cell formation was found in the explanted grafts. The implanted grafts were replaced gradually with recipient tissue, which made mainly of dense collagenous bundles. The healing strength between the implanted grafts and the recipient abdominal wall was gradually increased with time. The results of this study showed that glycerol preserved bovine pericardium act as scaffold for transformation into living tissue without clinical complications such as that associated with prostheses.
  3. Loqman MY, Wong CM, Hair-Bejo M, Zuki AB, Hafeez YM
    Med J Malaysia, 2004 May;59 Suppl B:113-4.
    PMID: 15468844
    A study was conducted to investigate the effectiveness of freeze-dried bovine pericardium (FDBP) as a biomaterial in diaphragmatic herniorrhapy in dogs. Eight adult dogs were randomly selected and divided into two equal groups. In FDBP group, a diaphragmatic defect was induced and repaired with an identical size of FDBP. In the control group, a diaphragmatic wall was incised at three-side border creating a flap and sutured. Grossly, only mild intrathoracic adhesion was observed for most of the animals, and no herniation occured. Microscopically, the biomaterial incorporated into the host's tissue by ingrowth of young muscle fiber and massive new blood vessel formation in between the fibrous tissue.
  4. Abu Hasan R, Sulaiman S, Ashykin NN, Abdullah MN, Hafeez Y, Ali SSA
    Sensors (Basel), 2021 Jul 18;21(14).
    PMID: 34300624 DOI: 10.3390/s21144885
    Adults are constantly exposed to stressful conditions at their workplace, and this can lead to decreased job performance followed by detrimental clinical health problems. Advancement of sensor technologies has allowed the electroencephalography (EEG) devices to be portable and used in real-time to monitor mental health. However, real-time monitoring is not often practical in workplace environments with complex operations such as kindergarten, firefighting and offshore facilities. Integrating the EEG with virtual reality (VR) that emulates workplace conditions can be a tool to assess and monitor mental health of adults within their working environment. This paper evaluates the mental states induced when performing a stressful task in a VR-based offshore environment. The theta, alpha and beta frequency bands are analysed to assess changes in mental states due to physical discomfort, stress and concentration. During the VR trials, mental states of discomfort and disorientation are observed with the drop of theta activity, whilst the stress induced from the conditional tasks is reflected in the changes of low-alpha and high-beta activities. The deflection of frontal alpha asymmetry from negative to positive direction reflects the learning effects from emotion-focus to problem-solving strategies adopted to accomplish the VR task. This study highlights the need for an integrated VR-EEG system in workplace settings as a tool to monitor and assess mental health of working adults.
  5. Naqvi SF, Ali SSA, Yahya N, Yasin MA, Hafeez Y, Subhani AR, et al.
    Sensors (Basel), 2020 Aug 07;20(16).
    PMID: 32784531 DOI: 10.3390/s20164400
    Mental stress has been identified as a significant cause of several bodily disorders, such as depression, hypertension, neural and cardiovascular abnormalities. Conventional stress assessment methods are highly subjective and tedious and tend to lack accuracy. Machine-learning (ML)-based computer-aided diagnosis systems can be used to assess the mental state with reasonable accuracy, but they require offline processing and feature extraction, rendering them unsuitable for real-time applications. This paper presents a real-time mental stress assessment approach based on convolutional neural networks (CNNs). The CNN-based approach afforded real-time mental stress assessment with an accuracy as high as 96%, the sensitivity of 95%, and specificity of 97%. The proposed approach is compared with state-of-the-art ML techniques in terms of accuracy, time utilisation, and quality of features.
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