Smart Device for the Determination of Heart Rate Variability in Real Time

Abstract

This work presents a first approach to the design, development, and implementation of a smart device for the real-time measurement and detection of alterations in heart rate variability (HRV). The smart device follows a modular design scheme, which consists of an electrocardiogram (ECG) signal acquisition module, a processing module and a wireless communications module. From five-minute ECG signals, the processing module algorithms perform a spectral estimation of the HRV. The experimental results demonstrate the viability of the smart device and the proposed processing algorithms.

The effect of sports VR training for improving human body composition

“…Therefore, appropriate sports VR training (game-based) is seen as an important factor in the trunk alignment, and it also affects the strength, balance, and quality of life of the lower extremities. Recently, studies with various age groups and materials included VR gears [14,[16][17][18] have been continuing and have been taking place as an effective training method. In this study, sports VR training which may be helpful for aerobic exercise and may strengthen cardiopulmonary showed better effect on coordination (body composition).…”

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

“…A sign of ANS balance and its conditions is heart rate variability (HRV) [81][82][83][84], which refers to short-and long-term variations of heart rate due to several causes. HRV records the variation of beat-to-beat time intervals, also known as R-R intervals, as heart beats are usually associated with the R wave of the electrocardiagram (ECG) [82,85]. An average heart rate of 60 beats per minute does not mean that the interval between successive heart beats is exactly 1.0 s, since it can experience variations in the range between 0.5 s and 2.0 s, with HRV indicating the fluctuations of heart rate around its average value (see Figure 2).…”

“…As aforementioned, heart rate is not fixed and some ANS-related processes induce variations that are oscillatory or repeated periodically. Frequency-domain methods or HRV spectral estimation identify the spectral components (oscillatory processes) implicit in HRV [82]. To that aim, an estimation of power spectral density (PSD) of the HRV signal is usually performed.…”

“…The electrical biopotentials generated by the human body are signals commonly used in medical diagnosis. The main biopotentials are electrocardiagram (ECG) [82,85], electromyogram (EMG) [11,35,43,215] and electroencephalogram (EEG) [46,50,[216][217][218][219]. Biopotential sensors are usually composed of the following elements: electrodes, used for the transduction of the ionic signals inside the body to electrical signals; an analog conditioning stage for the amplification of the electrical signal, of very low intensity, at measurable levels avoiding electromagnetic interference (EMI); and an analog-digital conversion stage.…”

Development of measuring system for determining life-threatening cardiac arrhythmias in a patient’s free activity

“…From foreign portable devices for recording and processing an electrocardiogram, we can select a heart rate monitor "Smart Device for the Determination of Heart Rate Variability in Real Time". This is a modern device used to measure heart rate [2]. The device is designed for quick and accurate verification of heart function and ECG recording.…”