The authors' study made use of wavelet transforms to describe and recognize isolated cardiac beats. choice the family as well selection analyzing function into these families are discussed. criterion used in first case was correct classification rate, second case, correlation coefficient between original pattern reconstructed one. Two types description have been considered-the energy-based representation extrema distribution estimated at each decomposition level-and their quality has...

We present a novel smartwatch, CareUp ® , for estimating the Blood Pressure (BP) in real time. It consists of two pulse oximeters: one placed on back and front device. Placing index finger oximeter starts acquisition photoplethysmograms (PPG); signals are then filtered cross-correlated to obtain Time Delay between them, called Pulse Transit (PTT). The Heart Rate (HR) (estimated from PPG) PTT input linear model give an estimation Systolic Diastolic BP. performance smartwatch measuring BP have...

Telemedicine is producing a great impact in the monitoring of patients located remote nonclinical environments such as homes, elder communities, gymnasiums, schools, military bases, ships, and like. A number applications, ranging from data collection, to chronic patient surveillance, even control therapeutic procedures, are being implemented many parts world. As part this growing trend, paper discusses problems electrocardiogram (ECG) real-time acquisition, transmission, visualization over...

This study was designed to test the diagnostic value of visibility graph features derived from heart rate time series predict late onset sepsis (LOS) in preterm infants using machine learning.The variability (HRV) data acquired 49 premature newborns hospitalized neonatal intensive care units (NICU). The LOS group consisted patients who received more than five days antibiotics, at least 72 hours after birth. control did not receive antibiotics. HRV prior start antibiotics (LOS group) or a...

In this work, a detection and classification method for sleep apnea hypopnea, using photopletysmography (PPG) peripheral oxygen saturation (SpO 2) signals, is proposed. The detector consists of two parts: one that detects reductions in amplitude fluctuation PPG (DAP)and desaturations. To further differentiate among disordered breathing events (SDBE), the pulse rate variability (PRV) was extracted from signal, then used to extract features enhance sympatho-vagal arousals during apneas...

As in other complex signal processing tasks, ECG beat delineation algorithms are usually constituted of a set modules, each one characterized by certain number parameters (filter cutoff frequencies, threshold levels, time windows, etc.). It is well recognized that the adjustment these task traditionally performed empirically and manually, based on experience designer. In this paper, we propose new automated quantitative method to optimize such algorithms. To solve multiobjective optimization...

The objective of this paper is to obtain accurate estimation breathing rate (BR), using only the electrocardiogram (ECG) or photoplethysmogram (PPG) signals, avoid wearing cumbersome and uncomfortable sensors for direct measurements.Several respiration waveforms are derived from ECG PPG signals based on amplitude, frequency, baseline wander modulations. It is, however, difficult determine their optimal combination BR due noise patient specificity. We first propose quantify quality modulation...

The goal of this paper is to propose a model-based control design framework, adapted the development modules for medical devices. A particular example presented in which instantaneous heart rate regulated real-time, by modulating, an adaptive manner, current delivered vagus nerve neuromodulator.The proposed framework couples module, based on classical PI controller, mathematical model device, and physiological representing cardiovascular responses stimulation (VNS). In order analyze evaluate...

Neonatal sepsis is responsible for significant morbidity and mortality worldwide. Its accurate timely diagnosis hindered by vague symptoms the urgent necessity early antibiotic intervention. The gold standard diagnosing condition identification of a pathogenic organism from normally sterile sites via laboratory testing. However, this method resource-intensive cannot be conducted continuously. This study aimed to predict onset late-onset (LOS) with good diagnostic value as possible using...

Vagus nerve stimulation (VNS) is a potential therapeutic approach in number of clinical applications. Although VNS commonly delivered an open-loop approach, it now recognized that closed-loop may be necessary to optimize the therapy. In this paper, we propose original generic control system can readily integrated into implantable device and allows for adaptive modulation multiple parameters.The proposed method consists state transition model (STM), which each represents set parameters,...

Although the therapeutic effects of Vagus Nerve Stimulation (VNS) have been recognized in pre-clinical and pilot clinical studies, effect different stimulation configurations on cardiovascular response is still an open question, especially case VNS delivered synchronously with cardiac activity. In this paper, we propose a formal mathematical methodology to analyze acute configurations, jointly considering chronotropic, dromotropic inotropic effects. A latin hypercube sampling method was...

Background Chorioamnionitis is recognized as a major consequence of preterm premature rupture membranes (PPROM), and frequent cause neonatal morbidity mortality. The association between fetal heart rate (FHR) chorioamnionitis remains unclear. Objectives aim this study was to evaluate the dynamics FHR in PPROM population at approach delivery according presence or absence chorioamnionitis. Materials & methods 120 pregnant women with 26 34 weeks’ gestation were enrolled multicenter...

Monitoring sleep of premature infants is a vital aspect clinical care, as it can reveal potential future pathologies and health issues. This study presents novel approach to automatically estimate track Quiet Sleep (QS) in 33 newborns using ECG, respiration, video motion features. Using an annotated dataset from 15 neonates (10 preterm, 5 full-term) encompassing 127.2 hours, comprehensive feature extraction selection process was employed. Three classifiers (Random Forest, Logistic...

Describes a novel technique for the cancellation of ventricular activity applications such as P-wave or atrial fibrillation detection. The procedure was thoroughly tested and compared with previously published method, using quantitative measures performance. approach estimates, by means dynamic time delay neural network (TDNN), time-varying, nonlinear transfer function between two ECG leads. Best results were obtained an Elman TDNN 9 input samples 20 neurons, employing sigmoidal tangencial...

The role of modelling and simulation in the systemic analysis living systems is now clearly established. Emerging disciplines, such as biology, worldwide research actions, Physiome Project or Virtual Physiological Human, are based on an intensive use methodologies tools. One key aspects this context to perform efficient integration various models representing different biological physiological functions, at resolutions, spanning through scales. This paper presents a multiformalism...

<i>Background:</i> Late-onset sepsis in the premature infant is frequently revealed by severe, unusual and recurrent bradycardias. In view of high morbidity mortality associated with infection, reliable markers are needed. <i>Objectives:</i> It was aim this study to determine if heart rate (HR) behavior may help diagnosis infection infants such cardiac decelerations. <i>Methods:</i> Electrocardiogram recordings were collected 51 a postmenstrual age <33...

In this paper, we perform complex network analysis on a connectivity dataset retrieved from monitoring system in order to classify simple daily activities. The is composed of set wearable sensing modules positioned the subject's body and data consists correlation between each pair modules. A number measures are then computed followed by application statistical significance feature selection methods. These methods were implemented for purpose reducing total required provide accurate activity...

Heart rate variability (HRV) has been emerging in neonatal medicine. It may help for the early diagnosis of pathology and estimation autonomous maturation. There is a lack standardization automation selection sequences to analyze some features have not explored this specific population. The main objective study was impact time length on linear non-linear HRV features, including horizontal visibility graphs (HVG).HRV were repeatedly measured with methods 2-, 5-, 10-minute selected from...