Atrial fibrillation (AF) and atrial flutter (AFL) represent arrhythmias closely related to increasing risk for embolic stroke, therefore being in the focus of cardiologists. While reported methods AF detection exhibit high performances, little attention has been given distinguishing these two arrhythmias. In this study, we propose a deep neural network architecture, which combines convolutional recurrent networks, extracting features from sequence RR intervals. The learned were used classify...

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Goal:</i> Clinical interpretation of an electrocardiogram (ECG) can be detrimentally affected by noise. Removal the electromyographic (EMG) noise is particularly challenging due to its spectral overlap with QRS complex. The existing EMG-denoising algorithms often distort signal morphology, thus obscuring diagnostically relevant information. xmlns:xlink="http://www.w3.org/1999/xlink">Methods:</i>...

Objective: Algorithms to predict shock outcome based on ventricular fibrillation (VF) waveform features are potentially useful tool optimize defibrillation strategy (immediate versus cardiopulmonary resuscitation). Researchers have investigated numerous predictive and classification methods using single VF feature and/or their combinations, however reported predictabilities not consistent. The purpose of this study was validate whether combining can enhance the prediction accuracy in...

Abstract Wearable smart monitors (WSMs) applied for the estimation of electrophysiological signals are utmost interest a non-stressed life. WSM which records heart muscle activities could signalize timely life-threatening event. The typically recorded across at surface body; hence, monitor requires high-quality electrodes. electrodes used in clinical settings [i.e. silver/silver chloride (Ag/AgCl) with gel] not practical daily out clinic usage. A application dry electrode stable and...

Accurate automated detection of premature ventricular contractions from electrocardiogram requires a training set or expert intervention. We propose fully unsupervised method. The algorithm first clusters morphologically similar heartbeats and then performs classification based on RR intervals morphology. Tests clinically recorded datasets show sensitivity 94.7%, specificity 99.6% accuracy 99.5%.

This paper deals with the reduction of electric energy consumption in induction motor drives by setting appropriately supply voltage. The results research show dependencies input power and reactive load on voltage magnitude. For motors loaded from 50% to 70%, both loads losses can be reduced within range Un ± 5% transformer. Calculation analysis indicate possibility for significant electical savings partially motors. Results are given separately small, medium large powers. These have been...

The provided database of 260 ECG signals was collected from patients with out-of-hospital cardiac arrest while treated by the emergency medical services. Each signal contains a 9 second waveform showing ventricular fibrillation, followed 1 min post-shock waveform. Patients' ECGs are made available in multiple formats. All recorded during prehospital treatment PFD files, after being anonymized, printed paper, and scanned. For each ECG, dataset also includes whole digitized (9 s pre- each)...

Non-invasive ventilation performed through an oronasal mask is a standard in clinical and homecare mechanical ventilation. Besides all its advantages, inevitable leaks the cause errors feedback information provided by airflow sensor and, hence, patient-ventilator asynchrony with multiple negative consequences. Here we investigate new way to provide trigger ventilator. The method based on measurement of rib cage movement at onset inspiration during breathing fibre-optic sensors. In series...

Fotopletizmografski signali, zajedno sa elektrokardiografskim i fonokardiografskim signalima, mogu pružiti uvid u sistolne vremenske intervale, utvrđene pokazatelje srčane insuficijencije, na osnovu specifičnih tačaka od interesa. U te svrhe bila bi potrebna anotacija ovakvih strane medi-cinskih stručnjaka, što pri manipulaciji velikim bazama podataka predstavlja vremenski zahtevnu skupu proceduru. Cilj ovog rada jeste identifikacija prototipskih oblika fotopletizmografskog signala...

ECG measurements at rest are susceptible to different kinds of noise which may affect clinical interpretation. Unlike the low-frequency body movements or spectrally well-defined power line interference, broadband electromyographic (EMG) coincides with QRS complex, makes its removal particularly challenging. While a number algorithms have been developed, their evaluation and comparison long remained challenging due lack database EMG-contaminated genuine noise-free signals. We recently...

Acute myocardial infraction (AMI) is a leading cause of death in the developed countries. Survival patients having acute coronary syndrome (ACS) dramatically depends on treatment delay. Hence, technology that would enable ECG recording immediately after ACS symptom occurrence may significantly decrease AMI mortality. In this study we investigate signal quality reconstructed 12-lead ECGs by using 3-lead handheld device with dry electrode realistic ambulatory conditions. For each subject...

Here, we present a method of respiratory volumes monitoring using single fibergrating sensor bending. Measurements are conducted simple monochromatic interrogation scheme that relies on photodiode measurement the power transmitted through long period grating (LPG) at fixed wavelength. Good accuracy in measurements tidal and minute for different types breathing is achieved.

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Goal:</i> Noise on recorded electrocardiographic (ECG) signals may affect their clinical interpretation. Electromyographic (EMG) noise spectrally coincides with the QRS complex, which makes its removal particularly challenging. The problem of evaluating noise-removal techniques has commonly been approached by algorithm testing contaminated ECG constructed...

Objective: The ventilators involved in non-invasive mechanical ventilation commonly provide ventilator support via a facemask.The interface of the mask with patient promotes air leaks that cause errors feedback information provided by pneumatic sensor and hence patient-ventilator asynchrony multiple negative consequences.Our objective is to test possibility using chest-wall motion measured an optical fibre-grating as more accurate triggering mechanism. Approach:The basic premise our approach...

In this paper, we establish a new scheme for identification and classification of high intensity events generated by the propagation light through photorefractive SBN crystal. Among these events, which are inevitable consequence development modulation instability, speckling soliton-like patterns. The usual classifiers developed on statistical measures, such as significant intensity, often provide only partial characterization events. Here, try to overcome deficiency implementing convolution...

We report the preliminary results of a laboratory validation study new polycardiographic device for assessment cardiovascular function (SensSmartTech). The main principle behind polycardiography is synchronized measurement multiple electro- mechanical parameters system. non-invasive and entails electrocardiography, photoplethysmography, phonography seismography. study’s validate use proposed policardiograph implementation in settings with varying physiological conditions both clinical...