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Fulltext Study on Correlations Between Glycated Haemoglobin, Lipid Profi les and Blood Glucose Levels in Type 2 Diabetics Living at Moderate High Altitude

Rajashekar Rao, B., Parineetha, P.B., Venkata Raman, V.

International Medical Journal Malaysia, 2010;9(2):39-44.
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Introduction: The study was conducted to look for the effects of polycythaemia on Glycosylated Haemoglobin (GHb) levels and to the see the correlations between the levels of haemoglobin, GHb, blood glucose, and lipid proﬁ les including Atherogenic Index of plasma (AIP), in type 2 diabetics living 5800ft above sea level at Gangtok in Sikkim, India. GHb is used to predict the risk of long term complications of Diabetes mellitus (DM) like coronary artery disease (CAD). Materials and Methods: The study group consisted of Group I (Type 2 DM male patients with PPG levels 200mg/dl) and age matched healthy males formed the control group. Results: In Group I, GHb levels correlated positively with AIP, but not with TC/HDL-C ratio. In Group II, both PPG and GHb levels correlated positively with Total cholesterol (TC), LDL Cholesterol, TC /HDL-C ratio and AIP. This shows that higher PPG levels are associated with more Atherogenic lipid proﬁ les. Study also showed higher GHb levels in controls at 7.61%, and correlated positively with postprandial glucose (PPG) levels (r = 0.92). Conclusion: In predicting risk for future CAD, PPG levels and AIP can be used as an adjunct parameter.
Fulltext Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques

ELKarazle K, Raman V, Then P, Chua C

Sensors (Basel), 2023 Jan 20;23(3).
PMID: 36772263 DOI: 10.3390/s23031225

Given the increased interest in utilizing artificial intelligence as an assistive tool in the medical sector, colorectal polyp detection and classification using deep learning techniques has been an active area of research in recent years. The motivation for researching this topic is that physicians miss polyps from time to time due to fatigue and lack of experience carrying out the procedure. Unidentified polyps can cause further complications and ultimately lead to colorectal cancer (CRC), one of the leading causes of cancer mortality. Although various techniques have been presented recently, several key issues, such as the lack of enough training data, white light reflection, and blur affect the performance of such methods. This paper presents a survey on recently proposed methods for detecting polyps from colonoscopy. The survey covers benchmark dataset analysis, evaluation metrics, common challenges, standard methods of building polyp detectors and a review of the latest work in the literature. We conclude this paper by providing a precise analysis of the gaps and trends discovered in the reviewed literature for future work.
Fulltext Remote Arrhythmia Detection for Eldercare in Malaysia

Chew KT, Raman V, Then PHH

Sensors (Basel), 2021 Dec 08;21(24).
PMID: 34960291 DOI: 10.3390/s21248197

Cardiovascular disease continues to be one of the most prevalent medical conditions in modern society, especially among elderly citizens. As the leading cause of deaths worldwide, further improvements to the early detection and prevention of these cardiovascular diseases is of the utmost importance for reducing the death toll. In particular, the remote and continuous monitoring of vital signs such as electrocardiograms are critical for improving the detection rates and speed of abnormalities while improving accessibility for elderly individuals. In this paper, we consider the design and deployment characteristics of a remote patient monitoring system for arrhythmia detection in elderly individuals. Thus, we developed a scalable system architecture to support remote streaming of ECG signals at near real-time. Additionally, a two-phase classification scheme is proposed to improve the performance of existing ECG classification algorithms. A prototype of the system was deployed at the Sarawak General Hospital, remotely collecting data from 27 unique patients. Evaluations indicate that the two-phase classification scheme improves algorithm performance when applied to the MIT-BIH Arrhythmia Database and the remotely collected single-lead ECG recordings.
Effects of balance-focused interactive games compared to therapeutic balance classes for older women

Singh DK, Rajaratnam BS, Palaniswamy V, Raman VP, Bong PS, Pearson H

Climacteric, 2013 Feb;16(1):141-6.
PMID: 22640573 DOI: 10.3109/13697137.2012.664832

The prospective pre-post control study was designed to evaluate the effect of introducing balance-focused interactive virtual-reality games to community-dwelling older women to improve their agility, balance and functional mobility.
Cardiovascular diagnostics mining on Borneo island: from labour-intensive to prototype

Patrick TH, Fong AY, Sebastian Y, Raman V, Wong YH, Sim KH

Inform Health Soc Care, 2009 Jan;34(1):1-9.
PMID: 19306194 DOI: 10.1080/17538150902773090

Mining for medical data poses different challenges compared with mining other types of data. The wide range of imaging modalities of medical data leads to data integration and compatibility issues. The analysis of imaging modalities is further complicated by the different format and attributes used by the different imaging equipment by different vendors. Human factors such as interest of adapting data mining into diagnosis and planning process raised the difficulty of engaging the users into the development of a practical and useful data miner. Requirement engineering technique prototyping further enhanced the engagement of users towards the data-miner. Data from different equipment and different vendors are also merged for efficient data analysis and subsequently charting and reporting. We have also successfully engaged the medical doctors into believing the data miner's capability after they reviewed and walkthrough the prototype.
Fulltext Readiness of school teachers to accept notifications about causes and preventive measures on food poisoning

Marzo RR, Bhattacharya S, Niranjan V, Shagaran K, Mohd Idris MAB, Clement BJ, et al.

J Educ Health Promot, 2020;9:43.
PMID: 32318611 DOI: 10.4103/jehp.jehp_505_19

INTRODUCTION: In this era of globalization, urbanization, and rapidly expanding unhygienic food corners across the globe, the incidence of food poisoning is very common nowadays.
AIM: The aim of our study was to investigate the perceptions and readiness of schoolteachers to accept notifications on food poisoning as a part of education to the students.
METHODOLOGY: A descriptive cross-sectional study was carried out with the help of a validated questionnaire for data collection. Our research involved schoolteachers from both primary and secondary schools in Muar. The questionnaire was pretested among the eligible trainee teachers and yielded an internal consistency reliability coefficient (c = Cronbach's alpha) of 0.082. This study was conducted from October 29, 2017, to December 14, 2018, in Muar. Our sample size was 259. Ethical consent was obtained from the Institution Ethical Committee.
RESULTS: A total of 259 schoolteachers from both primary and secondary schools in Muar were included in this study. In our study, 81.1% of the teachers responded that they can easily educate their students about food poisoning. Most of them (93.1%) were ready to receive notifications on food poisoning in any mode, and about 72% of the teachers preferred WhatsApp as their mode of receiving notification. The least (1.2%) preferred mode of notification was LINE (a social app). Teachers' willingness to disseminate the information regarding food poisoning was also higher (98.5%).
CONCLUSIONS: We concluded that majority of the schoolteachers had a good perception and were ready to receive the notifications on food poisoning through WhatsApp as a part of education to the students.
Fulltext A Mini Review on Osteoporosis: From Biology to Pharmacological Management of Bone Loss

Chin KY, Ng BN, Rostam MKI, Muhammad Fadzil NFD, Raman V, Mohamed Yunus F, et al.

J Clin Med, 2022 Oct 30;11(21).
PMID: 36362662 DOI: 10.3390/jcm11216434

Osteoporosis refers to excessive bone loss as reflected by the deterioration of bone mass and microarchitecture, which compromises bone strength. It is a complex multifactorial endocrine disease. Its pathogenesis relies on the presence of several endogenous and exogenous risk factors, which skew the physiological bone remodelling to a more catabolic process that results in net bone loss. This review aims to provide an overview of osteoporosis from its biology, epidemiology and clinical aspects (detection and pharmacological management). The review will serve as an updated reference for readers to understand the basics of osteoporosis and take action to prevent and manage this disease.