Computer processing of heart rate variability signals for detection of patient status in cardiac care units
نویسندگان
چکیده
High-performance computing has made a great impact in recent times in achieving practical solutions to problems in health care. This paper is concerned with the application of computers in processing heart rate variability (HRV) signals from critically ill heart patients for detection of patient states in cardiac care units (CCU). A perspective of the state-of-the-art is presented along with future projections of its impact on cardiac care. Computational efficacy of various techniques has been discussed and some examples of application using real world HRV data are presented. In addition to giving applications to patient care in CCU, other methods are also discussed in view of their potential application to critical care medicine. It is expected that several new approaches based on these emerging technologies will evolve, leading to improved software tools for the diagnosis and management of cardiac patients.
منابع مشابه
A System for Continuous Estimating and Monitoring Cardiac Output via Arterial Waveform Analysis
Background: Cardiac output (CO) is the total volume of blood pumped by the heart per minute and is a function of heart rate and stroke volume. CO is one of the most important parameters for monitoring cardiac function, estimating global oxygen delivery and understanding the causes of high blood pressure. Hence, measuring CO has always been a matter of interest to researchers and clinicians. Sev...
متن کاملAnalysis of Heart Rate Variability During Meditative and Non-Meditative State Using Analysis of Variance
In this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during Meditation and Non Meditation conditions. This paper involves Analysis of Variance (ANOVA) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. The analysis is divided into three stages i.e. data acqu...
متن کاملAnalysis of Heart Rate Variability During Meditative and Non-Meditative State Using Analysis of Variance
In this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during Meditation and Non Meditation conditions. This paper involves Analysis of Variance (ANOVA) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. The analysis is divided into three stages i.e. data acqu...
متن کاملMacroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
In this study, a mathematical model is developed based on algebraic equations which is capable of generating artificially normal events of electrocardiogram (ECG) signals such as P-wave, QRS complex, and T-wave. This model can also be implemented for the simulation of abnormal phenomena of electrocardiographic signals such as ST-segment episodes (i.e. depression, elevation, and sloped ascending...
متن کاملHeart Rate Variability Classification using Support Vector Machine and Genetic Algorithm
Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...
متن کامل