Browsing by Author "Herath, U."

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Non-invasive diagnostic approach for diabetes using pulse wave analysis and deep learning
(MDPI, 2024) Gunathilaka, H.; Rajapaksha, R.; Kumarika, T.; Perera, D.; Herath, U.; Jayathilaka, C.; Liyanage, J.; Kalingamudali, S.
The surging prevalence of diabetes globally necessitates advancements in non-invasive diagnostics, particularly for the early detection of cardiovascular anomalies associated with the condition. This study explores the efficacy of Pulse Wave Analysis (PWA) for distinguishing diabetic from non-diabetic individuals through morphological examination of pressure pulse waveforms. The research unfolds in four phases: data accrual, preprocessing, Convolutional Neural Network (CNN) model construction, and performance evaluation. Data were procured using a multipara patient monitor, resulting in 2000 pulse waves equally divided between healthy individuals and those with diabetes. These were used to train, validate, and test three distinct CNN architectures: the conventional CNN, Visual Geometry Group (VGG16), and Residual Networks (ResNet18). The accuracy, precision, recall, and F1 score gauged each model’s proficiency. The CNN demonstrated a training accuracy of 82.09% and a testing accuracy of 80.6%. The VGG16, with its deeper structure, surpassed the baseline with training and testing accuracies of 90.2% and 86.57%, respectively. ResNet18 excelled, achieving a training accuracy of 92.50% and a testing accuracy of 92.00%, indicating its robustness in pattern recognition within pulse wave data. Deploying deep learning for diabetes screening marks progress, suggesting clinical use and future studies on bigger datasets for refinement.
Pilot study for non-invasive diabetes detection through classification of photoplethysmography signals using convolutional neural networks
(University of Kelaniya, 2024) Gunathilaka, H.J.; Rajapaksha, R.; Kumarika, T.; Perera, D.; Herath, U.; Jayathilaka, C.; Liyanage, J.A.; Kalingamudali, S.R.D.
Diabetes is a chronic disorder affecting vascular health, often altering pulse wave characteristics. Traditional pulse wave analysis (PWA) methods face challenges such as variability and complexity of signals. This study aims to overcome these limitations by leveraging deep learning models for more accurate and efficient classification. The methodology used in this study involves four key steps: data collection, data preprocessing, Convolutional Neural Network (CNN) model development, and model evaluation. Primary data were collected using a multipara patient monitor, including finger photoplethysmography (PPG) signals, blood pressure, mean arterial pressure, oxygen saturation, and pulse rate. Single pulse wave cycles from 60 healthy individuals and 60 patients with type 2 diabetes underwent preprocessing. The CNN model was trained using 50 PPG images from each group and achieved a training accuracy of 92%. The prediction capability of the model was evaluated using 20 unseen images, comprising 10 healthy and 10 diabetes PPG images. It attained a 90% overall test accuracy in distinguishing between PPG images of individuals with diabetes and those who are healthy. These findings suggest that CNNbased analysis of PPG signals provides a precise, non-invasive tool for diabetes screening. To further enhance accuracy, future studies should focus on increasing the dataset size and performing hyperparameter tuning to optimize the CNN model.
A sociological study on puberty rites effects on self control in Sri Lankan society
(Faculty of Graduate Studies, University of Kelaniya, 2015) Herath, U.; Jayarathna, N.
Attain puberty is a physical and social process. It is a decisive moment of women‘s life. The girl before attain puberty is called ―Kanyawa‖ (virgin) and after it she is called ―Kanyawada‖. In that manner she has to live under socially and culturally created restrictions. The puberty rites in Sri Lankan society are given proper sexual knowledge and the self control through ―Kotahalu Yagaya‘‘ (a cultural dance which is conducted to abandon evils from newly attained girl and Kotahalu is another Sinhalese word for attain puberty). For instance the ―Gaba Uthpaththiya‖ is coming on Kotahalu yagaya has clearly revealed it. ―Thun dina athulatha rudiyara dutu thena - Kam rasa windimin satha hata leda ena In dahasaya dina daru pala dena - Min mathuwata daruwan noma upa dina‖ But present society pays less attention on this kind of traditional customs. This study attempts to identify the contribution of puberty rites on Self control and its necessity for modern society. Can puberty rites of Sri Lanka effect on Self control? Was the research problem of this study. The main objectives of this study are three fold, identify cultural value of puberty rites and its degeneration, identify the contemporary importance of rites of passage and identify the reasons for the exclusion of puberty rites from people. The proper research methodology causes to protect its accuracy and rationality. Main research methodology of this study was case study method. Interviews, participation observation were used as data collecting techniques. Books, articles, magazines were used to collect secondary data and interviews and participation observation were helped to collect primary data. The proper sexual knowledge and self control to the adolescence and society are given by puberty rites, expansion of free education, urbanization, globalization, and westernization process are directly influenced on puberty rites to degenerate from Sri Lankan Culture, Cultural practices like Yaga, Shanthi karma are gradually disappearing from society with the feeble economic strength of peasants, Low cast people like rada/Hena (who are doing Dhobi work) are not engaging with their traditional occupations can be considered the findings of this study. Conclusion: The puberty rites played major role to give a sexual knowledge and self control in a technologically poor society. But current society pays less attention to this kind of traditional customs. The puberty rites have been giving informal sexual knowledge to the young generation. Especially some restrictions are imposed by these cultural events to make self control. Finally degeneration of these cultural practices partially causes to create many social problems like unnecessary pregnancies and abortions.
නුතන ආදීවාසි කාන්තාව හා අවතරණ පිළිවෙත් (දඹාන වැදි ගම්මානය ඇසුරින්)
(Research Symposium 2009 - Faculty of Graduate Studies, University of Kelaniya, 2009) Sumedha, K.; Herath, U.; Samarakoon, M.; Dayananda, T.; Abesinghe, S.