Fractal complexity of daily physical activity and cognitive function in a midlife cohort
High stability of fluctuation in physiological patterns across fixed time periods suggest
healthy fractal complexity, while greater randomness in fluctuation patterns may indicate …
healthy fractal complexity, while greater randomness in fluctuation patterns may indicate …
Complexity and memory-based comparison of the brain activity between ADHD and healthy subjects while playing a serious game
Attention deficit hyperactivity disorder (ADHD) is a mental health disorder that is very
common among children and may last into their adulthood. It is known that ADHD affects the …
common among children and may last into their adulthood. It is known that ADHD affects the …
Complex network-based pertussis and croup cough analysis: A machine learning approach
The paper proposes a novel approach to bring out the potential of complex networks based
on graph theory to unwrap the hidden characteristics of cough signals, croup (BC), and …
on graph theory to unwrap the hidden characteristics of cough signals, croup (BC), and …
Fractal dimension based geographical clustering of COVID-19 time series data
Understanding the local dynamics of COVID-19 transmission calls for an approach that
characterizes the incidence curve in a small geographical unit. Given that incidence curves …
characterizes the incidence curve in a small geographical unit. Given that incidence curves …
Classification of pulmonary crackle and normal lung sound using spectrogram and support vector machine
Crackles is one of the types of adventitious lung sound heard in patients with interstitial
pulmonary fibrosis or cystic fibrosis. Pulmonary crackles of discontinuous short duration …
pulmonary fibrosis or cystic fibrosis. Pulmonary crackles of discontinuous short duration …
Metaheuristic secured transmission in Telecare Medical Information System (TMIS) in the face of post-COVID-19
The outbreak of novel corona virus had led the entire world to make severe changes. A
secured healthcare data transmission has been proposed through Telecare Medical …
secured healthcare data transmission has been proposed through Telecare Medical …
Untangling the graph based features for lung sound auscultation
S Sankararaman - Biomedical Signal Processing and Control, 2022 - Elsevier
Auscultation is a historically significant and currently relevant method employed in medical
diagnosis. The technological advancement joining hands with mathematical principles led to …
diagnosis. The technological advancement joining hands with mathematical principles led to …
Time series and mel frequency analyses of wet and dry cough signals: A neural net classification
A Renjini, MNS Swapna, KNS Kumar… - Physica A: Statistical …, 2023 - Elsevier
The present study proposes a method for detecting and classifying wet (WC) and dry (DC)
cough signals using spectral, cepstral, fractal, and nonlinear time-series analyses. Spectral …
cough signals using spectral, cepstral, fractal, and nonlinear time-series analyses. Spectral …
Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach
S Sreejyothi, A Renjini, V Raj, MNS Swapna… - Journal of Biological …, 2021 - Springer
The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series
analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary …
analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary …
Bioacoustic signal analysis through complex network features
The paper proposes a graph-theoretical approach to auscultation, bringing out the potential
of graph features in classifying the bioacoustics signals. The complex network analysis of …
of graph features in classifying the bioacoustics signals. The complex network analysis of …