Deep learning for healthcare applications based on physiological signals: A review

O Faust, Y Hagiwara, TJ Hong, OS Lih… - Computer methods and …, 2018 - Elsevier
Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …

[HTML][HTML] Wearable devices for remote monitoring of heart rate and heart rate variability—what we know and what is coming

N Alugubelli, H Abuissa, A Roka - Sensors, 2022 - mdpi.com
Heart rate at rest and exercise may predict cardiovascular risk. Heart rate variability is a
measure of variation in time between each heartbeat, representing the balance between the …

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

Z Arabasadi, R Alizadehsani, M Roshanzamir… - Computer methods and …, 2017 - Elsevier
Cardiovascular disease is one of the most rampant causes of death around the world and
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …

[HTML][HTML] Diabetes detection using deep learning algorithms

G Swapna, R Vinayakumar, KP Soman - ICT express, 2018 - Elsevier
Diabetes is a metabolic disease affecting a multitude of people worldwide. Its incidence
rates are increasing alarmingly every year. If untreated, diabetes-related complications in …

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

M Maniruzzaman, N Kumar, MM Abedin… - Computer methods and …, 2017 - Elsevier
Background and objective Diabetes is a silent killer. The main cause of this disease is the
presence of excessive amounts of metabolites such as glucose. There were about 387 …

Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals

G Swapna, S Kp, R Vinayakumar - Procedia computer science, 2018 - Elsevier
Diabetes mellitus, commonly known as diabetes, is a disease that affects a vast majority of
people globally. Diabetes cannot be cured; it can only be kept under control. In this paper …

A novel approach for feature selection and classification of diabetes mellitus: machine learning methods

R Saxena, SK Sharma, M Gupta… - Computational …, 2022 - Wiley Online Library
An active research area where the experts from the medical field are trying to envisage the
problem with more accuracy is diabetes prediction. Surveys conducted by WHO have shown …

Heart rate variability for medical decision support systems: A review

O Faust, W Hong, HW Loh, S Xu, RS Tan… - Computers in biology …, 2022 - Elsevier
Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

Computer-aided diagnosis of diabetic retinopathy: A review

MRK Mookiah, UR Acharya, CK Chua, CM Lim… - Computers in biology …, 2013 - Elsevier
Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …

A review of automated sleep stage scoring based on physiological signals for the new millennia

O Faust, H Razaghi, R Barika, EJ Ciaccio… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …