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ECG signal quality is of great importance to real-time electrocardiogram(ECG) monitoring system. The paper introduces a new algorithm to evaluate the ECG signal quality. This algorithm is based on three features: heart rate score, spectral distribution ratio, and the variance between 12-lead ECG data. The result show that the proposed algorithm has a high Sensitivity of 95%, Specificity of 86.7%,...
Atrial fibrillation is a type of atria arrhythmia which can cause the formation of blood clot in the heart. The blood clot may enlarge or moving to the brain and cause stroke. Therefore, this study monitors the performance of ECG episodes for paroxysmal atrial fibrillation classification. Episode of 2 seconds to 8 seconds were used to observe the performance of electrocardiograph (ECG) signal processing...
Early detection of hypertension generally requires continuous monitoring of blood pressure levels which is not facilitated by traditional methods such as the cuff, which cannot be used in the normal environment for continuous monitoring due to the regular pressurization of certain body parts. Thus there is a need for non-invasive continuous pressure monitoring mechanism. In this paper we present a...
Low cost pervasive electrocardiogram (ECG) monitors is changing how sinus arrhythmia are diagnosed among patients with mild symptoms. With the large amount of data generated from long-term monitoring, come new data science and analytical challenges. Although traditional rule-based detection algorithms still work on relatively short clinical quality ECG, they are not optimal for pervasive signals collected...
Wearable monitoring of heart rate (HR) during physical activity and exercising allows real time control of exercise intensity and training effect. Recently, technologies based on pulse plethysmography (PPG) have become available for personal health management for consumers. However, the accuracy of these monitors is poorly known which limits their application. In this study, we evaluated accuracy...
The shift from common diagnosis practices to continuous monitoring based on body sensors has transformed healthcare from hospital-centric to patient-centric. Continuous monitoring generates huge and continuous amount of data revealing changing insights. Existing approaches to analyze streams of data in order to produce validated decisions relied mostly on static learning and analytics techniques....
Cardiovascular disease has seriously affected the health of the elderly, and treatment of sudden cardiovascular disease is particularly difficult in most private pension institutions. A kind of portable ECG monitor is introduced in this paper which can be real-time, effective detection and treatment the patient's ECG information. It is beneficial for mastering the patient's ECG timely and building...
This paper discusses the circuit comparison of the electrocardiogram (ECG) heart rate detector for wearable biomedical devices. In this work, the QRS complex is used to calculate heart rate, representing the main component of the ECG signal. In order to achieve a high level of accuracy by the detector, the measured ECG signal must be free of noise. Typically, such noise originates from power line...
Real-time Obstructive Sleep Apnea (OSA) detection and monitoring are important for the society in terms of improvement in citizens' health conditions and of reduction in mortality and healthcare costs. This paper proposes an easy, cheap, and portable approach for monitoring patients with OSA. It is based on singlechannel ECG data, and on the automatic offline extraction, from a database containing...
The electrocardiogram (ECG) is a new and promising modality for biometric recognition. This signal is typically collected within welfare monitoring environments along with other vital signals. As opposed to static biometric modalities like the iris or the fingerprints, ECG is time-dependent thereby presenting the opportunity of continuously authenticating subjects in such environments. However, ECG...
We describe a framework for automated electrocardiogram (ECG) quality assessment which works in both normal and arrhythmic situations, on an arbitrary number of ECG leads and for time periods of as short as five seconds. Originally developed for the Physionet/Computing in Cardiology (CinC) Challenge 2011, we present here an extension to our original works with improved quality metrics. We manually...
We present a real-time method for the detection of motion and noise (MN) artifacts, which frequently interferes with accurate rhythm assessment when ECG signals are collected from Holter monitors. Our MN artifact detection approach involves two stages. The first stage involves the use of the first-order intrinsic mode function (F-IMF) from the empirical mode decomposition to isolate the artifacts’...
The objective of this study is to develop a portable continuous blood pressure monitoring kit using an electrocardiography (ECG) sensor. The method that was used to measure and monitor blood pressure continuously is based on Heart Rate (HR). The method was separately implemented for different techniques to measure systolic blood pressure (SBP). The techniques that were used to model the relationship...
Electrocardiograms and other similar techniques (e.g. Photoplethysmograph) are very effective tools for the detection of cardiac abnormalities. Automated analyses of ECG signals may be used for this purpose, but due to their complexity — often involving a Neural Network or Principal Component Analysis — the signal needs to be transmitted to be analysed on a powerful device. Thus, even if signals are...
In this paper, a convenience healthcare monitoring system and a real-time arrhythmia or abnormal ECG detection algorithm are developed. Performance analysis on R-peak detection and abnormal ECG detection has been carried out using several MIT/BIH Arrhythmia Database. The performance analysis shows an average percentage accuracy of 99.63% for R-peak detection and an average percentage accuracy of 92...
Objective: A minimum parameter set for the representation of body vital signs was extracted, in order to reduce the power consumption and improve the communication security of the data transmission in special scenarios such as battlefields and disaster fields. Methods: ECG, RESP, EEG, TEMP and Acceleration signals were investigated, and the accuracies across the different parameter sets of vital signs...
This paper presents an alternative approach for heart rate measurement. Instead of using an ECG sensor, the proposed design uses sound signals received from a microphone which does not require skin-contact. Specifically, the design uses an air conductive microphone and an efficient algorithm to estimate the heart beat parameters of the wearer. The estimates are obtained for different activities undertaken...
The Pulse Transit Time (PTT) is generally assumed to be a good surrogate measure to comfortably track blood pressure (BP) and blood pressure changes. This paper investigates PTT variations for healthy young subjects during a sequence of short-term physical exercises. PTT was measured by two different methodologies having different measurement accuracies as well as underlying assumptions: the total...
Patients admitted to the Intensive Cardiac Care Unit are closely monitored by different devices that generate alarms when an abnormality is detected. However, most alarms do not signify a life-threatening event. During a four month period 34,827 alarms were collected electronically. The most frequent alarm categories were related to mechanical ventilation (42.2%), blood pressure (32.3%), electrocardiogram...
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