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https://www.readbyqxmd.com/read/29779529/inhibition-and-restoration-of-crt-pacing-what-is-the-mechanism
#1
Andrzej Ząbek, Barbara Małecka, Maciej Dębski, Krzysztof Boczar, Katarzyna Holcman, Mateusz Ulman, Jacek Lelakowski
The electrocardiogram (ECG) interpretation in patients with cardiac resynchronization therapy (CRT) may be challenging. The difficulty increases if not well-known pacemaker algorithm is turned on. We show a T-wave protection algorithm (LVTP) in a patient with CRT. Accelerated sinus rhythm and intermittent oversensing in left ventricular channel resulted in loss of CRT pacing. The restoration of biventricular pacing occurred when atrial rate decreased. We provide detailed descriptions of the electrocardiogram and intracardiac electrogram...
May 2018: Journal of Electrocardiology
https://www.readbyqxmd.com/read/29767635/detecting-atrial-fibrillation-from-short-single-lead-ecgs-using-statistical-and-morphological-features
#2
Mohamed Athif, Pamodh Chanuka Yasawardene, Chathuri Daluwatte
Point of care ECG devices can improve the early detection of atrial fibrillation (AF). Efficiency of such devices depend on the capability of automatic AF detection against normal sinus rhythm and other arrhythmias from a short single lead ECG record in the presence of noise and artefacts. The objective of this study was to develop an algorithm that classifies a short single lead ECG record into "Normal", "AF", "Other" and "Noisy" classes, and identify challenges in developing such algorithms and potential mitigation steps...
May 16, 2018: Physiological Measurement
https://www.readbyqxmd.com/read/29765335/heart-rate-variability-during-a-joint-attention-task-in-toddlers-with-autism-spectrum-disorders
#3
Lucia Billeci, Alessandro Tonacci, Antonio Narzisi, Zaira Manigrasso, Maurizio Varanini, Francesca Fulceri, Caterina Lattarulo, Sara Calderoni, Filippo Muratori
Background: Autism Spectrum Disorders (ASD) are a heterogeneous group of neurodevelopmental disorders featuring early impairments in social domain, with autonomic nervous system (ANS) unbalance possibly representing a useful marker for such disturbances. Impairments in joint attention (JA) are one of the earliest markers of social deficits in ASD. In this study, we assessed the feasibility of using wearable technologies for characterizing the ANS response in ASD toddlers during the presentation of JA stimuli...
2018: Frontiers in Physiology
https://www.readbyqxmd.com/read/29758969/human-emotion-classification-based-on-multiple-physiological-signals-by-wearable-system
#4
Xin Liu, Qisong Wang, Dan Liu, Yuan Wang, Yan Zhang, Ou Bai, Jinwei Sun
BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms. OBJECTIVE: The experiments can be implemented in the laboratory environment equipped with high-performance computers for the online analysis; this will hinder the usability in practical applications. METHODS: Considering that other physiological signals are also associated with emotional changes, this paper proposes to use a wearable, wireless system to acquire a single-channel electroencephalogram signal, respiration, electrocardiogram (ECG) signal, and body postures to explore the relationship between these signals and the human emotions...
April 27, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29758405/accelerometer-based-av-synchronous-pacing-with-a-ventricular-leadless-pacemaker-results-from-the-micra-av-feasibility-studies
#5
Larry Chinitz, Philippe Ritter, Surinder Kaur Khelae, Saverio Iacopino, Christophe Garweg, Maria Grazia-Bongiorni, Petr Neuzil, Jens Brock Johansen, Lluis Mont, Efrain Gonzalez, Venkata Sagi, Gabor Z Duray, Nicolas Clementy, Todd Sheldon, Vincent Splett, Kurt Stromberg, Nicole Wood, Clemens Steinwender
BACKGROUND: Micra is a leadless pacemaker that is implanted in the right ventricle and provides rate response via a 3-axis accelerometer (ACC). Custom software was developed to detect atrial contraction using the ACC enabling AV synchronous pacing. OBJECTIVE: To sense atrial contractions from the Micra ACC signal and provide AV synchronous pacing. METHODS: The MASS/MASS2 early feasibility studies showed intracardiac accelerations related to atrial contraction can be measured via ACC in the Micra leadless pacemaker...
May 8, 2018: Heart Rhythm: the Official Journal of the Heart Rhythm Society
https://www.readbyqxmd.com/read/29747948/automated-quantification-of-mitral-valve-geometry-on-multi-slice-computed-tomography-in-patients-with-dilated-cardiomyopathy-implications-for-transcatheter-mitral-valve-replacement
#6
Tom Banks, Orod Razeghi, Ioannis Ntalas, Waqar Aziz, Jonathan M Behar, Rebecca Preston, Brian Campbell, Simon Redwood, Bernard Prendergast, Steven Niederer, Ronak Rajani
OBJECTIVES: The primary aim of this study was to quantify the dimensions and geometry of the mitral valve complex in patients with dilated cardiomyopathy and significant mitral regurgitation. The secondary aim was to evaluate the validity of an automated segmentation algorithm for assessment of the mitral valve compared to manual assessment on computed tomography. BACKGROUND: Transcatheter mitral valve replacement (TMVR) is an evolving technique which relies heavily on the lengthy evaluation of cardiac computed tomography (CT) datasets...
April 21, 2018: Journal of Cardiovascular Computed Tomography
https://www.readbyqxmd.com/read/29745496/-pulse-transit-time-detection-based-on-waveform-time-domain-feature-and-dynamic-difference-threshold
#7
Zengding Liu, Ji Chen, Minfang Tang
Aiming at the defects that the traditional pulse transit time (PTT) detection methods are sensitive to changes in photoplethysmography (PPG) signal and require heavy computation, we proposed a new algorithm to detect PTT based on waveform time domain feature and dynamic difference threshold. We calculated the PTT by using dynamic difference threshold method to detect the R-waves of electrocardiogram (ECG), shortening the main peak detection range in PPG signal according to the characteristics of the waveform time domain, and using R wave to detect the main peak of PPG signal...
June 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29736232/qrs-detection-based-on-improved-adaptive-threshold
#8
Xuanyu Lu, Maolin Pan, Yang Yu
Cardiovascular disease is the first cause of death around the world. In accomplishing quick and accurate diagnosis, automatic electrocardiogram (ECG) analysis algorithm plays an important role, whose first step is QRS detection. The threshold algorithm of QRS complex detection is known for its high-speed computation and minimized memory storage. In this mobile era, threshold algorithm can be easily transported into portable, wearable, and wireless ECG systems. However, the detection rate of the threshold algorithm still calls for improvement...
2018: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29735633/atrial-fibrillation-detection-during-24-hour-ambulatory-blood-pressure-monitoring-comparison-with-24-hour-electrocardiography
#9
Anastasios Kollias, Antonios Destounis, Petros Kalogeropoulos, Konstantinos G Kyriakoulis, Angeliki Ntineri, George S Stergiou
This study assessed the diagnostic accuracy of a novel 24-hour ambulatory blood pressure (ABP) monitor (Microlife WatchBP O3 Afib) with implemented algorithm for automated atrial fibrillation (AF) detection during each ABP measurement. One hundred subjects (mean age 70.6±8.2 [SD] years; men 53%; hypertensives 85%; 17 with permanent AF; 4 paroxysmal AF; and 79 non-AF) had simultaneous 24-hour ABP monitoring and 24-hour Holter monitoring. Among a total of 6410 valid ABP readings, 1091 (17%) were taken in ECG AF rhythm...
May 7, 2018: Hypertension
https://www.readbyqxmd.com/read/29734666/cardiac-arrhythmia-classification-by-multi-layer-perceptron-and-convolution-neural-networks
#10
Shalin Savalia, Vahid Emamian
The electrocardiogram (ECG) plays an imperative role in the medical field, as it records heart signal over time and is used to discover numerous cardiovascular diseases. If a documented ECG signal has a certain irregularity in its predefined features, this is called arrhythmia, the types of which include tachycardia, bradycardia, supraventricular arrhythmias, and ventricular, etc. This has encouraged us to do research that consists of distinguishing between several arrhythmias by using deep neural network algorithms such as multi-layer perceptron (MLP) and convolution neural network (CNN)...
May 4, 2018: Bioengineering
https://www.readbyqxmd.com/read/29733921/circulation-assessment-by-automated-external-defibrillators-during-cardiopulmonary-resuscitation
#11
Jesus M Ruiz, Sofía Ruiz de Gauna, Digna M González-Otero, Purificación Saiz, J Julio Gutiérrez, Jose F Veintemillas, Jose M Bastida, Daniel Alonso
AIM: To design and evaluate a simple algorithm able to discriminate pulsatile rhythms from pulseless electrical activity during automated external defibrillator (AED) analysis intervals, using the ECG and the transthoracic impedance (TI) acquired from defibrillation pads. METHODS: ECG and TI signals from out-of-hospital AED recordings were retrospectively analysed. Experts annotated the cardiac rhythm during AED analysis intervals and at the end of each episode...
May 4, 2018: Resuscitation
https://www.readbyqxmd.com/read/29731502/idiopathic-ventricular-premature-contraction-and-ventricular-tachycardia-distribution-of-the-origin-diagnostic-algorithm-and-catheter-ablation
#12
Yoshinori Kobayashi
Idiopathic ventricular premature contractions (VPCs), defined as VPCs in the absence of obvious structural heart disease, are one of the common types of arrhythmia in clinical practice. They are sometimes complicated with non-sustained ventricular tachycardia (VT), and/or sustained VT with almost same QRS morphology in 12 leads ECG. Idiopathic VT (IVT) commonly occurs by focal mechanisms and the origins are distributed in a variety of sites in both ventricles. In this article, the clinical characteristics of IVT/IVPCs, the diagnostic algorithm, and how to ablate them will be reviewed...
2018: Journal of Nippon Medical School, Nippon Ika Daigaku Zasshi
https://www.readbyqxmd.com/read/29729845/plan-optimization-for-mediastinal-radiotherapy-estimation-of-coronary-arteries-motion-with-ecg-gated-cardiac-imaging-and-creation-of-compensatory-expansion-margins
#13
Mario Levis, Viola De Luca, Christian Fiandra, Simona Veglia, Antonella Fava, Marco Gatti, Mauro Giorgi, Sara Bartoncini, Federica Cadoni, Domenica Garabello, Riccardo Ragona, Andrea Riccardo Filippi, Umberto Ricardi
BACKGROUND AND PURPOSE: Inadvertent heart and coronary arteries (CA) irradiation may increase the risk of coronary artery disease (CAD) in patients receiving thoracic irradiation. To date, the entity of cardiac-related CA displacement and the possible margins to be used for planning organs at risk volume (PRV) have been poorly described. Aim of this study was to quantify CA displacement and to estimate PRV through the use of ECG-gated computed tomography (CT) scans. MATERIAL AND METHODS: Eight patients received an ECG-gated intravenous contrast enhanced CT for non-cancer related reasons...
May 2, 2018: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/29724227/mobile-gpu-based-implementation-of-automatic-analysis-method-for-long-term-ecg
#14
Xiaomao Fan, Qihang Yao, Ye Li, Runge Chen, Yunpeng Cai
BACKGROUND: Long-term electrocardiogram (ECG) is one of the important diagnostic assistant approaches in capturing intermittent cardiac arrhythmias. Combination of miniaturized wearable holters and healthcare platforms enable people to have their cardiac condition monitored at home. The high computational burden created by concurrent processing of numerous holter data poses a serious challenge to the healthcare platform. An alternative solution is to shift the analysis tasks from healthcare platforms to the mobile computing devices...
May 3, 2018: Biomedical Engineering Online
https://www.readbyqxmd.com/read/29723994/virtual-sensor-of-surface-electromyography-in-a-new-extensive-fault-tolerant-classification-system
#15
Karina de O A de Moura, Alexandre Balbinot
A few prosthetic control systems in the scientific literature obtain pattern recognition algorithms adapted to changes that occur in the myoelectric signal over time and, frequently, such systems are not natural and intuitive. These are some of the several challenges for myoelectric prostheses for everyday use. The concept of the virtual sensor, which has as its fundamental objective to estimate unavailable measures based on other available measures, is being used in other fields of research. The virtual sensor technique applied to surface electromyography can help to minimize these problems, typically related to the degradation of the myoelectric signal that usually leads to a decrease in the classification accuracy of the movements characterized by computational intelligent systems...
May 1, 2018: Sensors
https://www.readbyqxmd.com/read/29723990/on-the-beat-detection-performance-in-long-term-ecg-monitoring-scenarios
#16
Francisco-Manuel Melgarejo-Meseguer, Estrella Everss-Villalba, Francisco-Javier Gimeno-Blanes, Manuel Blanco-Velasco, Zaida Molins-Bordallo, José-Antonio Flores-Yepes, José-Luis Rojo-Álvarez, Arcadi García-Alberola
Despite the wide literature on R-wave detection algorithms for ECG Holter recordings, the long-term monitoring applications are bringing new requirements, and it is not clear that the existing methods can be straightforwardly used in those scenarios. Our aim in this work was twofold: First, we scrutinized the scope and limitations of existing methods for Holter monitoring when moving to long-term monitoring; Second, we proposed and benchmarked a beat detection method with adequate accuracy and usefulness in long-term scenarios...
May 1, 2018: Sensors
https://www.readbyqxmd.com/read/29707188/improved-multiscale-entropy-technique-with-nearest-neighbor-moving-average-kernel-for-nonlinear-and-nonstationary-short-time-biomedical-signal-analysis
#17
S P Arunachalam, S Kapa, S K Mulpuru, P A Friedman, E G Tolkacheva
Analysis of biomedical signals can yield invaluable information for prognosis, diagnosis, therapy evaluation, risk assessment, and disease prevention which is often recorded as short time series data that challenges existing complexity classification algorithms such as Shannon entropy (SE) and other techniques. The purpose of this study was to improve previously developed multiscale entropy (MSE) technique by incorporating nearest-neighbor moving-average kernel, which can be used for analysis of nonlinear and non-stationary short time series physiological data...
2018: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29705553/dictionary-based-monitoring-of-premature-ventricular-contractions-an-ultra-low-cost-point-of-care-service
#18
S Chandra Bollepalli, S Sastry Challa, Laxminarayana Anumandla, Soumya Jana
While cardiovascular diseases (CVDs) are prevalent across economic strata, the economically disadvantaged population is disproportionately affected due to the high cost of traditional CVD management, involving consultations, testing and monitoring at medical facilities. Accordingly, developing an ultra-low-cost alternative, affordable even to groups at the bottom of the economic pyramid, has emerged as a societal imperative. Against this backdrop, we propose an inexpensive yet accurate home-based electrocardiogram (ECG) monitoring service...
April 25, 2018: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/29703454/wide-complex-tachycardia-discrimination-using-dynamic-time-warping-of-ecg-beats
#19
F Niknejad Mazandarani, M Mohebbi
BACKGROUND AND OBJECTIVE: Automatic processing and accurate diagnosis of wide complex tachycardia (WCT) arrhythmia groups using electrocardiogram signals (ECG) remains a challenge. WCT arrhythmia consists of two main groups: ventricular tachycardia (VT) and supraventricular tachycardia with aberrancy (SVT-A). These two groups have similar morphologies in the realm of ECG signals. VT and SVT-A arrhythmias originate from the ventricle and atrium, respectively. Hence, inaccurate diagnosis of SVT-A instead of VT can be fatal...
April 20, 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29687436/alexander-fractional-differential-window-filter-for-ecg-denoising
#20
Atul Kumar Verma, Indu Saini, Barjinder Singh Saini
The electrocardiogram (ECG) non-invasively monitors the electrical activities of the heart. During the process of recording and transmission, ECG signals are often corrupted by various types of noises. Minimizations of these noises facilitate accurate detection of various anomalies. In the present paper, Alexander fractional differential window (AFDW) filter is proposed for ECG signal denoising. The designed filter is based on the concept of generalized Alexander polynomial and the R-L differential equation of fractional calculus...
April 23, 2018: Australasian Physical & Engineering Sciences in Medicine
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