27 citations · 50 across the 34 of their papers we have counts for
9 papers · 1 filter
Empirical mode decomposition and interpretable machine learning for preterm birth classification from electrohysterography
Umesha Tilakarathna, Senith Jayakody, Kalana Jayasooriya +4
Preterm birth (PTB) remains a major global health problem, and reliable non-invasive risk assessment remains difficult. Electrohysterography (EHG) records uterine electrical activi…
A Synchronized Multi-IMU Wearable System for Tracking of Joint-Angles in Sports Motion Analysis With Reference-Based Validation and Dynamic Task Characterization
Thevindu Samarasekera, Praveen Rathnayaka, Sachintha Adhikari +7
Reliable joint-angle measurement outside laboratory environments is important for posture assessment and technique analysis in sports and rehabilitation. Yet, wearable IMU systems,…
Spectrotemporal Feature Extraction in EHG Signals and Tocograms for Enhanced Preterm Birth Prediction
Senith Jayakody, Kalana Jayasooriya, Sashini Liyanage +3
Preterm birth (PTB), defined as delivery before 37 weeks of gestation, is a leading cause of neonatal mortality and long term health complications. Early detection is essential for…
Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport
Mahela Pandukabhaya, Tharaka Fonseka, Madhumini Kulathunge +4
Mastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performanc…
Dual mode multispectral imaging system for food and agricultural product quality estimation
Darsha Udayanga, Ashan Serasinghe, Supun Dassanayake +4
Multispectral imaging coupled with Artificial Intelligence, Machine Learning and Signal Processing techniques work as a feasible alternative for laboratory testing, especially in f…
IMU-based Modularized Wearable Device for Human Motion Classification
Sahan Wijethunga, Shehan Kaushalya Senavirathna, Kavishka Dissanayake +6
Human motion analysis is used in many different fields and applications. Currently, existing systems either focus on one single limb or one single class of movements. Many proposed…
Comprehensive Study on Denoising of Medical Images Utilizing Neural Network Based Auto-Encoder
Thoshara Nawarathne, Thanushi Withanage, Samitha Gunarathne +7
Fetal motion discernment utilizing spectral images extracted from accelerometric data incident on pregnant mothers abdomen has gained substantial attention in the state-of-the-art…
Novel Non-Invasive In-house Fabricated Wearable System with a Hybrid Algorithm for Fetal Movement Recognition
Upekha Delay, Thoshara Nawarathne, Sajan Dissanayake +6
Fetal movement count monitoring is one of the most commonly used methods of assessing fetal well-being. While few methods are available to monitor fetal movements, they consist of…
Modified Auto Regressive Technique for Univariate Time Series Prediction of Solar Irradiance
Umar Marikkar, A. S. Jameel Hassan, Mihitha S. Maithripala +3
The integration of renewable resources has increased in power generation as a means to reduce the fossil fuel usage and mitigate its adverse effects on the environment. However, re…