Objective This study aimed to determine the status of scientific production on biosensor
usage for human health monitoring. Methods We used bibliometrics based on the data and …

Stress recognition, particularly using machine learning (ML) with physiological data such as
heart rate variability (HRV), holds promise for mental health interventions. However, limited …

ECG provides critical information in a waveform about the heart's condition. This information
is crucial to physicians as it is the first thing to be performed by cardiologists. When COVID …

Stress can be described as an alteration in our body that can cause strain emotionally,
physically, or psychologically. It is a reaction from our body to something that demands …

Recent technological developments have provided innovative means for promoting health
and well-being through physiological response monitoring. Heart rate variability (HRV) has …

Diagnosis plays a crucial role in saving the life of a patient. However, due to the challenges
faced by medical practitioners such as; few available resources, little amount of time …

In this article we present forecasts of the spread of COVID-19 virus, obtained by econometric
and machine learning methods. Furthermore, by employing modelling method, we estimate …