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Lack of advancement in detection of abnormal liver cells is a major drawback in hepatocellular carcinoma (HCC) that could results in late diagnosis. This study aims to discriminate the malignant cells from the normal counterparts, and apoptotic cells from viable cells using a microfluidic dielectrophoresis (DEP)-based technology. The discrimination of the viable and non-viable HCC cells was conducted upon treatment with plant-based cytotoxic agent konjac glucomannan (KGM). DEP analyses of human normal liver (WRL68) cells showed slight positive-DEP effect while liver cancer (HepG2) cells was highly negative. This broad dielectric difference is due to the tumorigenic alterations in HepG2 cells. Exposure to cytotoxic agents showed a significant shift from negative-DEP to positive-DEP, indicating apoptosis-induced reduction in membrane negativity. The results indicate the feasibility of DEP method in cancer screening.
Sakunie Sawai; Nursyahirah Ahmad Shukri; Mas Sahidayana Mohktar; Wan Safwani Wan Kamarul Zaman. Dielectrophoresis-based discrimination of hepatic carcinoma cells following treatment with cytotoxic agents. Engineering Science and Technology, an International Journal 2021, 1 .
AMA StyleSakunie Sawai, Nursyahirah Ahmad Shukri, Mas Sahidayana Mohktar, Wan Safwani Wan Kamarul Zaman. Dielectrophoresis-based discrimination of hepatic carcinoma cells following treatment with cytotoxic agents. Engineering Science and Technology, an International Journal. 2021; ():1.
Chicago/Turabian StyleSakunie Sawai; Nursyahirah Ahmad Shukri; Mas Sahidayana Mohktar; Wan Safwani Wan Kamarul Zaman. 2021. "Dielectrophoresis-based discrimination of hepatic carcinoma cells following treatment with cytotoxic agents." Engineering Science and Technology, an International Journal , no. : 1.
Glutathione (GSH) is a tripeptide of cysteine, glutamate, and glycine. These amino acids made the synthesis of GSH possible and act as a major cellular antioxidant in the body. The production of GSH in the body depends on several factors; such as dietary intake and cysteine availability. With the turnover rate of endogenous GSH can be as high as 65% per day, more consumers has turned to GSH supplement to maintain or boost up their GSH level. GSH supplement available in the market usually contains GSH precursor/s that are said to be able to increase GSH level in the body. In this study, the oral GSH supplement used contains all three precursors of GSH; cystine replacing cysteine, glutamate, and glycine. Subjects were asked to consume the supplement according to the instructed dosage in order to measure the effects of oral GSH precursors’ supplement on human GSH level after the three-month study period ends. The results from this study suggest that the oral GSH precursors’ supplement increases GSH level across the test groups after the three-month study period.
Asdani Saifullah Dolbashid; Mas Sahidayana Mohktar; Wan Safwani Wan Kamarul Zaman; Nur Rasyidah Hasan Basri; Mohd Faiz Azmi; Sakunie Sawai; Mohd Yusof Hasif Ilyasa. Effects of Oral Glutathione Precursors’ Supplementation on Human Glutathione Level. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 2017, 147 -151.
AMA StyleAsdani Saifullah Dolbashid, Mas Sahidayana Mohktar, Wan Safwani Wan Kamarul Zaman, Nur Rasyidah Hasan Basri, Mohd Faiz Azmi, Sakunie Sawai, Mohd Yusof Hasif Ilyasa. Effects of Oral Glutathione Precursors’ Supplementation on Human Glutathione Level. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014. 2017; ():147-151.
Chicago/Turabian StyleAsdani Saifullah Dolbashid; Mas Sahidayana Mohktar; Wan Safwani Wan Kamarul Zaman; Nur Rasyidah Hasan Basri; Mohd Faiz Azmi; Sakunie Sawai; Mohd Yusof Hasif Ilyasa. 2017. "Effects of Oral Glutathione Precursors’ Supplementation on Human Glutathione Level." VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 , no. : 147-151.
Physical activities are any movement that required muscles to work and consequently use more energy as compared to resting. Physical activities are the best parameter in determining a person health. This is especially important for the health of lower limb prosthetic users who are in progress of restoring their walking and standing ability by wearing the prosthetic leg. The objective of this study is to develop an accelerometer apps that can identify the walking pattern of lower limb prosthetic users. The Smartphone accelerometer application function is to detect and to collect acceleration data while user’s performing physical activities such as walking on flat surface. As a results an accelerometer application on android smartphone has been developed. The magnitude of acceleration data from the accelerometer are used to identify three participants; normal, transtibial and transfemoral prosthetic users walking patterns.
M. S. Mohktar; N. R. Hasan Basri. Monitoring the Walking Pattern of Lower Limb Prosthetic Users Using Mobile Accelerometer Apps. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 2017, 140 -143.
AMA StyleM. S. Mohktar, N. R. Hasan Basri. Monitoring the Walking Pattern of Lower Limb Prosthetic Users Using Mobile Accelerometer Apps. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014. 2017; ():140-143.
Chicago/Turabian StyleM. S. Mohktar; N. R. Hasan Basri. 2017. "Monitoring the Walking Pattern of Lower Limb Prosthetic Users Using Mobile Accelerometer Apps." VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 , no. : 140-143.
Real-time monitoring and precise diagnosis of the severity of Dengue infection is needed for better decisions in disease management. The aim of this study is to use the Bioimpedance Vector Analysis (BIVA) method to differentiate between healthy subjects and severe and non-severe Dengue-infected patients. Bioimpedance was measured using a 50 KHz single-frequency bioimpedance analyzer. Data from 299 healthy subjects (124 males and 175 females) and 205 serologically confirmed Dengue patients (123 males and 82 females) were analyzed in this study. The obtained results show that the BIVA method was able to assess and classify the body fluid and cell mass condition between the healthy subjects and the Dengue-infected patients. The bioimpedance mean vectors (95% confidence ellipse) for healthy subjects, severe and non-severe Dengue-infected patients were illustrated. The vector is significantly shortened from healthy subjects to Dengue patients; for both genders the p-value is less than 0.0001. The mean vector of severe Dengue patients is significantly shortened compare to non-severe patients with a p-value of 0.0037 and 0.0023 for males and females, respectively. This study confirms that the BIVA method is a valid method in differentiating the healthy, severe and non-severe Dengue-infected subjects. All tests performed had a significance level with a p-value less than 0.05.
Sami F. Khalil; Mas S. Mohktar; Fatimah Ibrahim. Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients. Sensors 2016, 16, 911 .
AMA StyleSami F. Khalil, Mas S. Mohktar, Fatimah Ibrahim. Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients. Sensors. 2016; 16 (6):911.
Chicago/Turabian StyleSami F. Khalil; Mas S. Mohktar; Fatimah Ibrahim. 2016. "Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients." Sensors 16, no. 6: 911.
In this study, data quality analyses were performed on raw signals from two types of home telehealth measurements; the pulse oximetry and the blood pressure. The results have confirmed that home telehealth pulse oximetry and blood pressure data quality issues do affect the reliability of a decision support system (DSS) for the particular algorithms and data sets used in this study. Both techniques (the manual outlier removal and the automated signal quality analysis) have improved the performance of the DSS. Therefore, these automated signal quality tools are considered useful and will be included in the DSS for the purpose of data quality assurance. This finding has also provided an additional method that can reduce the workload imposed when performing signal recording verification manually.
Mas S. Mohktar; Jumadi Abd Sukor; Stephen J. Redmond; Jim Basilakis; Nigel H. Lovell. Effect of Home Telehealth Data Quality on Decision Support System Performance. Procedia Computer Science 2015, 64, 352 -359.
AMA StyleMas S. Mohktar, Jumadi Abd Sukor, Stephen J. Redmond, Jim Basilakis, Nigel H. Lovell. Effect of Home Telehealth Data Quality on Decision Support System Performance. Procedia Computer Science. 2015; 64 ():352-359.
Chicago/Turabian StyleMas S. Mohktar; Jumadi Abd Sukor; Stephen J. Redmond; Jim Basilakis; Nigel H. Lovell. 2015. "Effect of Home Telehealth Data Quality on Decision Support System Performance." Procedia Computer Science 64, no. : 352-359.
In recent years, many improvements have been made in foodborne pathogen detection methods to reduce the impact of food contamination. Several rapid methods have been developed with biosensor devices to improve the way of performing pathogen detection. This paper presents an automated endpoint detection system for amplicons generated by loop mediated isothermal amplification (LAMP) on a microfluidic compact disk platform. The developed detection system utilizes a monochromatic ultraviolet (UV) emitter for excitation of fluorescent labeled LAMP amplicons and a color sensor to detect the emitted florescence from target. Then it processes the sensor output and displays the detection results on liquid crystal display (LCD). The sensitivity test has been performed with detection limit up to 2.5 × 10−3 ng/µL with different DNA concentrations of Salmonella bacteria. This system allows a rapid and automatic endpoint detection which could lead to the development of a point-of-care diagnosis device for foodborne pathogens detection in a resource-limited environment.
Shah Mukim Uddin; Fatimah Ibrahim; Abkar Ahmed Sayad; Aung Thiha; Koh Xiu Pei; Mas S. Mohktar; Uda Hashim; Jongman Cho; Kwai Lin Thong. A Portable Automatic Endpoint Detection System for Amplicons of Loop Mediated Isothermal Amplification on Microfluidic Compact Disk Platform. Sensors 2015, 15, 5376 -5389.
AMA StyleShah Mukim Uddin, Fatimah Ibrahim, Abkar Ahmed Sayad, Aung Thiha, Koh Xiu Pei, Mas S. Mohktar, Uda Hashim, Jongman Cho, Kwai Lin Thong. A Portable Automatic Endpoint Detection System for Amplicons of Loop Mediated Isothermal Amplification on Microfluidic Compact Disk Platform. Sensors. 2015; 15 (3):5376-5389.
Chicago/Turabian StyleShah Mukim Uddin; Fatimah Ibrahim; Abkar Ahmed Sayad; Aung Thiha; Koh Xiu Pei; Mas S. Mohktar; Uda Hashim; Jongman Cho; Kwai Lin Thong. 2015. "A Portable Automatic Endpoint Detection System for Amplicons of Loop Mediated Isothermal Amplification on Microfluidic Compact Disk Platform." Sensors 15, no. 3: 5376-5389.
The use of telehealth technologies to remotely monitor patients suffering chronic diseases may enable preemptive treatment of worsening health conditions before a significant deterioration in the subject's health status occurs, requiring hospital admission. The objective of this study was to develop and validate a classification algorithm for the early identification of patients, with a background of chronic obstructive pulmonary disease (COPD), who appear to be at high risk of an imminent exacerbation event. The algorithm attempts to predict the patient's condition one day in advance, based on a comparison of their current physiological measurements against the distribution of their measurements over the previous month. The proposed algorithm, which uses a classification and regression tree (CART), has been validated using telehealth measurement data recorded from patients with moderate/severe COPD living at home. The data were collected from February 2007 to January 2008, using a telehealth home monitoring unit. The CART algorithm can classify home telehealth measurement data into either a ‘low risk’ or ‘high risk’ category with 71.8% accuracy, 80.4% specificity and 61.1% sensitivity. The algorithm was able to detect a ‘high risk’ condition one day prior to patients actually being observed as having a worsening in their COPD condition, as defined by symptom and medication records. The CART analyses have shown that features extracted from three types of physiological measurements; forced expiratory volume in 1 s (FEV1), arterial oxygen saturation (SPO2) and weight have the most predictive power in stratifying the patients condition. This CART algorithm for early detection could trigger the initiation of timely treatment, thereby potentially reducing exacerbation severity and recovery time and improving the patient's health. This study highlights the potential usefulness of automated analysis of home telehealth data in the early detection of exacerbation events among COPD patients.
Mas S. Mohktar; Stephen J. Redmond; Nick C. Antoniades; Peter D. Rochford; Jeffrey J. Pretto; Jim Basilakis; Nigel H. Lovell; Christine F. McDonald. Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data. Artificial Intelligence in Medicine 2014, 63, 51 -59.
AMA StyleMas S. Mohktar, Stephen J. Redmond, Nick C. Antoniades, Peter D. Rochford, Jeffrey J. Pretto, Jim Basilakis, Nigel H. Lovell, Christine F. McDonald. Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data. Artificial Intelligence in Medicine. 2014; 63 (1):51-59.
Chicago/Turabian StyleMas S. Mohktar; Stephen J. Redmond; Nick C. Antoniades; Peter D. Rochford; Jeffrey J. Pretto; Jim Basilakis; Nigel H. Lovell; Christine F. McDonald. 2014. "Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data." Artificial Intelligence in Medicine 63, no. 1: 51-59.
Bioimpedance analysis is a noninvasive, low cost and a commonly used approach for body composition measurements and assessment of clinical condition. There are a variety of methods applied for interpretation of measured bioimpedance data and a wide range of utilizations of bioimpedance in body composition estimation and evaluation of clinical status. This paper reviews the main concepts of bioimpedance measurement techniques including the frequency based, the allocation based, bioimpedance vector analysis and the real time bioimpedance analysis systems. Commonly used prediction equations for body composition assessment and influence of anthropometric measurements, gender, ethnic groups, postures, measurements protocols and electrode artifacts in estimated values are also discussed. In addition, this paper also contributes to the deliberations of bioimpedance analysis assessment of abnormal loss in lean body mass and unbalanced shift in body fluids and to the summary of diagnostic usage in different kinds of conditions such as cardiac, pulmonary, renal, and neural and infection diseases.
Sami F. Khalil; Mas S. Mohktar; Fatimah Ibrahim. The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases. Sensors 2014, 14, 10895 -10928.
AMA StyleSami F. Khalil, Mas S. Mohktar, Fatimah Ibrahim. The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases. Sensors. 2014; 14 (6):10895-10928.
Chicago/Turabian StyleSami F. Khalil; Mas S. Mohktar; Fatimah Ibrahim. 2014. "The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases." Sensors 14, no. 6: 10895-10928.
This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall detection and prevention. Falls are considered as major health hazards for both the elderly and people with neurodegenerative diseases. To mitigate the adverse consequences of falling, a great deal of research has been conducted, mainly focused on two different approaches, namely, fall detection and fall prevention. Required hardware for both fall detection and prevention are also available in SPs. Consequently, researchers’ interest in finding SP-based solutions has increased dramatically over recent years. To the best of our knowledge, there has been no published review on SP-based fall detection and prevention. Thus in this paper, we present the taxonomy for SP-based fall detection and prevention solutions and systematic comparisons of existing studies. We have also identified three challenges and three open issues for future research, after reviewing the existing articles. Our time series analysis demonstrates a trend towards the integration of external sensing units with SPs for improvement in usability of the systems.
Mohammad Ashfak Habib; Mas S. Mohktar; Shahrul Bahyah Kamaruzzaman; Kheng Seang Lim; Tan Maw Pin; Fatimah Ibrahim. Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues. Sensors 2014, 14, 7181 -7208.
AMA StyleMohammad Ashfak Habib, Mas S. Mohktar, Shahrul Bahyah Kamaruzzaman, Kheng Seang Lim, Tan Maw Pin, Fatimah Ibrahim. Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues. Sensors. 2014; 14 (4):7181-7208.
Chicago/Turabian StyleMohammad Ashfak Habib; Mas S. Mohktar; Shahrul Bahyah Kamaruzzaman; Kheng Seang Lim; Tan Maw Pin; Fatimah Ibrahim. 2014. "Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues." Sensors 14, no. 4: 7181-7208.
This paper describes the effect of abnormal total cholesterol (TC) level on the bodycomposition parameters that can be measured non-invasively using bioelectrical Impedance analysis (BIA). A total of 190 subjects (86 males and 104 females) were recruited in the study which was conducted at the University of Malaya Student Health Clinic (UMHC), Kuala Lumpur, Malaysia. Subjects’ serum was collected for measurement of TC and bioelectrical impedance was measureed for bodycomposition. Subjects were divided into 2 groups according to their TC values. Group 1 (n=92) consists of subjects with normal TC value (5.2 mmol/L). Statistical analysis using independent sample t-test was used to investigate the relationship between BIA parameters and TC. The results revealed that there were differences in age, weight, body mass index(BMI), body capacitance (BC), extracellular mass (EM), lean body mass (LBM), fat mass (FM), basal metabolic rate (BMR) and total body water to total water ratio (TBW/TW) among the subjects with normal and abnormal TC. TC level was significantly higher in older subjects (p=0.000). In Group 2 the BC, FM, BMI, FM and BMR were significantly higher (p0.05) while, EM, LBM and TBW/TW were higher in Group 1 (p0.05). There were no significant differences in TC for subjects’ gender (p=0.288) and height (p=0.364). There were also no significant differences in the bioelectrical tissue conductivity parameters (phase angle (PA) reactance (REA) and resistance (RES)) between Groups 1 and 2 (p>0.05). In conclusion, the results show that there were differences in BIA parameters among the TC levels.
Mas Sahidayana Mohktar; Fatimah Ibrahim; N. A Ismail. Effects of Abnormal Total Cholesterol Level on Bodycomposition Parameters. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 2007, 3767 -3769.
AMA StyleMas Sahidayana Mohktar, Fatimah Ibrahim, N. A Ismail. Effects of Abnormal Total Cholesterol Level on Bodycomposition Parameters. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014. 2007; ():3767-3769.
Chicago/Turabian StyleMas Sahidayana Mohktar; Fatimah Ibrahim; N. A Ismail. 2007. "Effects of Abnormal Total Cholesterol Level on Bodycomposition Parameters." VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 , no. : 3767-3769.