Wavelet-based approach for diagnosing attention deficit hyperactivity disorder (ADHD)

D Vimalajeewa, E McDonald, SA Bruce… - Scientific Reports, 2022 - nature.com
Attention deficit hyperactivity disorder (ADHD) is a common cognitive disorder affecting
children. ADHD can interfere with educational, social, and emotional development, so early …

Parkinson's disease diagnosis with gait characteristics extracted using wavelet transforms

D Vimalajeewa, E McDonald, M Tung… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: Parkinson's disease (PD) is a common neurodegenerative disorder among adult
men and women. The analysis of abnormal gait patterns is among the most important …

A Method for Detecting Murmurous Heart Sounds based on Self-similar Properties

D Vimalajeewa, C Lee, B Vidakovic - arXiv preprint arXiv:2306.05283, 2023 - arxiv.org
A heart murmur is an atypical sound produced by the flow of blood through the heart. It can
be a sign of a serious heart condition, so detecting heart murmurs is critical for identifying …

A Compact, Low-Cost Optical Sensor for Progesterone Detection using Molecularly Imprinted Polymer

N Kongswang, Y Guan, P Uerchuchai… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
A compact optical sensor coated with a molecular imprinted polymer (MIP) is proposed for
the detection of progesterone molecules. The MIP solution, containing the progesterone …

Analysis and classification of 1H-NMR spectra by multifractal analysis

J Kim, HK Woo, D Vimalajeewa, B Vidakovic - Plos one, 2023 - journals.plos.org
The objective of this research focuses on the development of a statistical methodology able
to answer the question of whether variation in the intake of sulfur amino acids (SAA) affects …

[HTML][HTML] Ovarian cancer diagnostics using wavelet packet scaling descriptors

RJ Hinton Jr, J Byun, D Vimalajeewa… - … Signal Processing and …, 2025 - Elsevier
Detecting early-stage ovarian cancer accurately and efficiently is crucial for timely treatment.
Various methods for early diagnosis have been explored, including a focus on features …

A novel self-attention model based on cosine self-similarity for cancer classification of protein mass spectrometry

L Tang, P Xu, L Xue, Y Liu, M Yan, A Chen, S Hu… - International Journal of …, 2023 - Elsevier
Mass spectrometry has become a popular tool for cancer classification. A novel self-attention
deep learning model based on cosine self-similarity was proposed to classify cancer by …

Multiscale Analysis of Heart Sound Signals in the Wavelet Domain for Heart Murmur Detection

D Vimalajeewa, B Vidakovic, C Lee - 2024 - researchsquare.com
A heart murmur is an atypical sound produced by the flow of blood through the heart. It can
be a sign of a serious heart condition, so detecting heart murmurs is critical for identifying …

Utilizing Wavelet Transform in the Analysis of Scaling Dynamics for Milk Quality Evaluation

D Maywald, D Vimalajeewa - … Series and Wavelet Analysis: Festschrift in …, 2024 - Springer
Food safety and quality are paramount concerns worldwide, especially concerning
nutritional quality and its impact on human health. Ensuring the accuracy and efficiency of …

An Advanced Self-similarity Measure: Average of Level-Pairwise Hurst Exponent Estimates (ALPHEE)

D Vimalajeewa, RJ Hinton, F Ruggeri, B Vidakovic - Authorea Preprints - techrxiv.org
Many natural processes are characterized by complex patterns of self-similarity, where
repetitive structures occur across different resolutions. The Hurst exponent is a key …