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Ballistocardiogram (BCG) has been revisited in the last years as an unobtrusive method to detect heart beats. New electromechanical film (EMFi) sensors are now able to detect minimal oscillations in its surface, allowing to detect the mechanical action of the heart as it beats. This has allowed to develop unobtrusive systems for heart rate monitoring to be used as Point-of-Care devices, and to deploy...
In this paper authors have studied the current state of the art, noting the achievements and gaps existing in published works. Most of the gaps are related to the testing data used, and therefore the reliability of the results obtained. With this in mind, the paper not only covers such review of the literature, but also the efforts of the authors in developing a solution that could demonstrate the...
In this study, correlation of heart rate variability (HRV) results in different postures between ECG-based and PPG-based cardiac measurement devices is explored. Electrocardiogram (ECG) is one of the best indicators for the assessment of physical health and heart function, while photoplethysmography (PPG) uses light sensor to detect the change of blood volume in the vessel, and is thus less susceptible...
Analysis of electrocardiogram and heart rate provides useful information about health condition of a patient. The North Sea Bicycle Race is an annual competition in Norway. Examination of ECG recordings collected from participants of this race may allow defining and evaluating the relationship between physical endurance exercises and heart electrophysiology. Parameters reflecting potentially alarming...
In our previous research, we evaluated a “feeling of excitement” using biosignals and proposed the standard deviation of the intervals between the R-waves (SDNN) and R-R interval variability (RRV) from electrocardiograms (ECGs) as physiological indices. In this research, we focused on a “dokidoki feeling, ” which is the main component of a ‘feeling of excitement, ” and experimentally evaluated a VR...
In this paper, a strategy is proposed to estimate the R-peaks in ECG signals recorded inside a 7 T magnetic resonance imaging (MRI) scanner in order to reduce the disturbances due to the magnetohydrodynamic (MHD) effect and to finally obtain high quality cardiovascular magnetic resonance (CMR) images. We first show that the cyclostationarity property of the ECG signal disturbed by the MHD effect can...
Electrocardiogram (ECG) records electrical activity of the heart spreading through the heart muscle to make the heart contract. Recently ECG has been captured attention as biometric feature due to its uniqueness and large reliabilities for human identifications. In this study we aimed to verify the conservative ECG of human in their activities to ensure whether it is suitable to be used as biometric...
In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing...
Sleep stage scoring is the first step to diagnostic of sleep disorders and it is scored by the conventional method known as the visual sleep stage scoring based on human. To assist the sleep physician in evaluating of patients, a new automatic sleep stage classification system needs to be developed. So this is the aim of this work based on Electroencephalography (EEG) and Electrocardiography (ECG)...
The physiological variation of heart rate, controlled by autonomic nervous system, is called Heart Rate Variability (HRV). Measuring HRV reveals a wide range of useful information about humans' body and health status, including prognostic issues.
A wireless multisensor platform for monitoring human's cardiovascular system is presented. The designed sensor node incorporates front-ends for an ECG, an accelerometer and a pressure sensor. The system architecture builds on an openMSP430 processor. The main application for the designed System on Chip (SoC) is the detection of atrial fibrillation (AF). To this end, a dedicated hardware accelerator...
A mixed-signal adaptive filter is proposed which can work with level-crossing ADC to maintain its energy efficiency and signal quality even under powerline interference. The adaptive filter adopts a novel phase and amplitude tracking method which does not require multibit multiplication as the conventional least mean square (LMS) adaptive filter does. It tracks the 60 Hz interference and generate...
In this paper, an innovative idea of secure and energy efficient electrocardiogram steganography based on Discrete Wavelet Transform (DWT) is proposed, in which different important ECG data are steganographed with variable embedding strengths so that the reconstructed ECG signal quality is preserved. Incorporating the proposed Unequal Steganography Embedding (USE) with Unequal Error Protection (UEP),...
The aim of this retrospective study was to analyze the electrocardiographic autocorrelation maps (ACMs) in young people during the time standardized QRST interval assuming some repetition of QRS patterns during the ST interval. We constructed 41 isopotential maps (IPMs) at equidistant intervals (per 20 intervals during QRS complex and ST interval) for 52 children controls (24 boys), mean age (13.6...
Cardiovascular vital signs are measured using continuous wave (CW) radar at 2.45GHz with a body-contact antenna. Using a previously collected database of thirty second recordings at paced breathing conditions, CW radar signals were measured together with heart sounds, electrocardiogram (ECG), respiration and impedance cardiogram (ICG) were as reference signals. Using arbitrarily chosen features from...
This informational collection is utilized to anticipate the odds of an event of heart assault for a patient. In the season of cutting edge smartphones contributing 12 attributes is not feasible. We play out the product metric examination on the given informational collection. In view of the investigation of information we try to bring the total number of attributes into a small figure and in the end,...
Accelerated acquisition of long-term and longitudinal signals has motivated new approaches for processing and analysis. Topological data analysis (TDA) has recently been proposed for analyzing these large and complex data. TDA provides significant insight through coarse, global structures, while maintaining the local structure of measurements. TDA visualizations enhance its interpretive power. However,...
Cardiac ailments like Ventricular Tachycardia (VT) and Ventricular Fibrillation (VF) are life threatening conditions which require prompt medical treatment. Automatic External Defibrillator (AED) is a device that delivers shock when it encounters VF and rapid VT signals. In this paper we have attempted to develop an algorithm for AED that detects normal sinus rhythm, Ventricular fibrillation and ventricular...
As technology evolves, its consumers gain considerable advantages to bring prosperity for all humankind. It is so in medical environment. Even though there always has been standards in hospital or other related medical sites, it is possible for people with the help of technology to study about simple theory of pathology and find another mechanism to meet those standards, i.e., to create new method...
The timely detection of life-threatening ventricular arrhythmias (VAs) is critical for saving a patient’s life. General features that characterize ECG waveforms are extracted for VA detection. To take into account the subtle differences in the QRS complexes among different people, new personalized features are proposed in this paper based on the correlation coefficient between a patient-specific regular...
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