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https://www.readbyqxmd.com/read/28441634/spatial-enhancement-of-ecg-using-diagnostic-similarity-score-based-lead-selective-multi-scale-linear-model
#1
Jiss J Nallikuzhy, S Dandapat
In this work, a new patient-specific approach to enhance the spatial resolution of ECG is proposed and evaluated. The proposed model transforms a three-lead ECG into a standard twelve-lead ECG thereby enhancing its spatial resolution. The three leads used for prediction are obtained from the standard twelve-lead ECG. The proposed model takes advantage of the improved inter-lead correlation in wavelet domain. Since the model is patient-specific, it also selects the optimal predictor leads for a given patient using a lead selection algorithm...
April 11, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28441326/adaptive-interference-cancellation-of-ecg-signals
#2
Aifeng Ren, Zhenxing Du, Juan Li, Fangming Hu, Xiaodong Yang, Haider Abbas
As an important biological signal, electrocardiogram (ECG) signals provide a valuable basis for the clinical diagnosis and treatment of several diseases. However, its reference significance is based on the effective acquisition and correct recognition of ECG signals. In fact, this mV-level weak signal can be easily affected by various interferences caused by the power of magnetic field, patient respiratory motion or contraction, and so on from the sampling terminal to the receiving and display end. The overlapping interference affects the quality of ECG waveform, leading to the false detection and recognition of wave groups, and thus causing misdiagnosis or faulty treatment...
April 25, 2017: Sensors
https://www.readbyqxmd.com/read/28431054/the-variability-of-automated-qrs-duration-measurement
#3
Vlastimil Vancura, Dan Wichterle, Ivan Ulc, Jirí Šmíd, Marek Brabec, Marta Zárybnická, Richard Rokyta
Aims: Previous studies have demonstrated substantial variability in manual assessment of QRS complex duration (QRSd). Disagreements in QRSd measurements were also found in several automated algorithms tested on digitized electrocardiogram (ECG) recordings. The aim of our study was to investigate the variability of automated QRSd measurements performed by two commercially available electrocardiographs. Methods and Results: Two GE MAC 5000 (GE-1 and GE-2) electrocardiographs and two Mortara ELI 350 (Mortara-1 and Mortara-2) electrocardiographs were used in the study...
April 1, 2017: Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology
https://www.readbyqxmd.com/read/28430109/acquisition-of-electrocardiogram-signals-during-magnetic-resonance-imaging
#4
Julien Oster, Gari Clifford
The recording of the electrocardiogram (ECG) during Magnetic Resonance Imaging (MRI) acquisition is of great interest and importance. Firstly, MRI acquisition is a relatively slow process, which therefore complicates the imaging of moving organs. Cardiac MRI requires the development of strategies for acquiring high quality images, which is mainly achieved by synchronising the image acquisition with a specific time during the cardiac cycle. The ECG is used to monitor the heart's activity, and the detection of the largest and steepest peak in the cardiac cycle (the QRS complex) triggers the acquisition of slices of the k-space...
April 21, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28416121/silent-coronary-heart-disease-in-patients-with-type-2-diabetes-application-of-a-screening-approach-in-a-follow-up-study
#5
Saula Vigili de Kreutzenberg, Anna Solini, Edoardo Vitolo, Alessandra Boi, Simonetta Bacci, Sara Cocozza, Rossella Nappo, Angela Rivellese, Angelo Avogaro, Marco Giorgio Baroni
AIMS: The cost-effectiveness of screening for silent coronary heart disease (CHD) in type 2 diabetes (DM2) is still debated. METHODS: We applied a diagnostic algorithm for silent CHD detection, in a cohort of 102 asymptomatic DM2 subjects (57±7years), attending 5 Italian outpatient clinics, to verify its predictive value. The risk of silent CHD was calculated considering classical risk factors, and presence of microangiopathy/macroangiopathy. Patients were divided in 3 groups, i...
April 4, 2017: Journal of Diabetes and its Complications
https://www.readbyqxmd.com/read/28408651/disease-severity-and-exercise-testing-reduce-subcutaneous-implantable-cardioverter-defibrillator-left-sternal-ecg-screening-success-in-hypertrophic-cardiomyopathy
#6
Neil T Srinivasan, Kiran H Patel, Kashif Qamar, Amy Taylor, Marco Bacà, Rui Providência, Maria Tome-Esteban, Perry M Elliott, Pier D Lambiase
BACKGROUND: The features of the hypertrophic cardiomyopathy (HCM) ECG make it a challenge for subcutaneous implantable cardioverter-defibrillator (S-ICD) screening. We aimed to investigate the causes of screening failure at rest and on exercise to inform optimal S-ICD ECG vector development. METHODS AND RESULTS: One hundred and thirty-one HCM patients (age, 50±16 years; 92 males and 39 females) with ≥1 HCM risk factor for sudden death underwent S-ICD ECG screening at rest and on exercise...
April 2017: Circulation. Arrhythmia and Electrophysiology
https://www.readbyqxmd.com/read/28403196/validation-of-automatic-measurement-of-qt-interval-variability
#7
Peter R Rijnbeek, Marten E van den Berg, Gerard van Herpen, Henk J Ritsema van Eck, Jan A Kors
BACKGROUND: Increased variability of beat-to-beat QT-interval durations on the electrocardiogram (ECG) has been associated with increased risk for fatal and non-fatal cardiac events. However, techniques for the measurement of QT variability (QTV) have not been validated since a gold standard is not available. In this study, we propose a validation method and illustrate its use for the validation of two automatic QTV measurement techniques. METHODS: Our method generates artificial standard 12-lead ECGs based on the averaged P-QRS-T complexes from a variety of existing ECG signals, with simulated intrinsic (QT interval) and extrinsic (noise, baseline wander, signal length) variations...
2017: PloS One
https://www.readbyqxmd.com/read/28392944/monitoring-fetal-heart-rate-during-labor-a-comparison-of-three-methods
#8
Tammy Y Euliano, Shalom Darmanjian, Minh Tam Nguyen, John D Busowski, Neil Euliano, Anthony R Gregg
The purpose of the study was to compare the accuracy of a noninvasive fetal heart rate monitor with that of ultrasound, using a fetal scalp electrode as the gold standard, in laboring women of varying body habitus, throughout labor and delivery. Laboring women requiring fetal scalp electrode were monitored simultaneously with the investigational device (noninvasive fetal ECG), ultrasound, and fetal scalp electrode. An algorithm extracted the fetal heart rate from the noninvasive fetal ECG signal. Each noninvasive device recording was compared with fetal scalp electrode with regard to reliability by positive percent agreement and accuracy by root mean squared error...
2017: Journal of Pregnancy
https://www.readbyqxmd.com/read/28391064/heartbeat-monitoring-from-adaptively-down-sampled-electrocardiogram
#9
Luca Mesin
BACKGROUND AND OBJECTIVE: Heartbeats Holter monitoring is important for the detection of arrhythmias and possible anomalies, which are predictive of cardiovascular risks and infections. Reducing the number of acquired samples is useful to save energy and memory, but a proper down-sampling schedule is needed to record all useful information. Method An adaptive algorithm for the non-uniform down-sampling of data is used to reduce the mean sampling frequency of ECG data. The acquired data are processed to extract RR rhythm and to classify the heartbeats among a set of possible types of arrhythmias...
March 30, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28390652/a-fast-noise-tolerant-ecg-feature-recognition-algorithm-based-on-probabilistic-analysis-of-gradient-discontinuity
#10
Peter A Watterson
PURPOSE: Improvement in real-time electrocardiogram (ECG) interpretation is still needed, especially for QT estimation. This paper proposes a fast algorithm for ECG feature recognition, based on locating turning points in the waveform gradient. METHODS: The algorithm places the fiducial point at the maximal value of a probabilistic decision function, assessing line intervals of best fit before and after the point and the point location relative to R-wave peaks already found...
March 14, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/28385402/detecting-periprocedural-myocardial%C3%A2-infarction-in-contemporary-percutaneous-coronary-intervention-trials
#11
Ernest Spitzer, Ton de Vries, Rafael Cavalcante, Marieke Tuinman, Tessa Rademaker-Havinga, Maaike Alkema, Marie-Angele Morel, Osama I Soliman, Yoshinobu Onuma, Gerrit-Anne van Es, Jan G P Tijssen, Eugene McFadden, Patrick W Serruys
OBJECTIVES: This study sought to investigate the differences in detecting (e.g., triggering) periprocedural myocardial infarction (PMI) among 3 current definitions. BACKGROUND: PMI is a frequent component of primary endpoints in coronary device trials. Identification of all potential suspected events is critical for accurate event ascertainment. Automatic triggers based on study databases prevent underreporting of events. METHODS: We generated automated algorithms to trigger PMI based on each definition and compared results using data from the RESOLUTE all comers trial...
April 10, 2017: JACC. Cardiovascular Interventions
https://www.readbyqxmd.com/read/28371771/ecg-based-classification-of-resuscitation-cardiac-rhythms-for-retrospective-data-analysis
#12
Ali Bahrami Rad, Trygve Eftestol, Kjersti Engan, Unai Irusta, Jan Terje Kvaloy, Jo Kramer-Johansen, Lars Wik, Aggelos K Katsaggelos
There is a need to monitor the heart rhythm in resuscitation to improve treatment quality. Resuscitation rhythms are categorized into: ventricular tachycardia (VT), ventricular fibrillation (VF), pulseless electrical activity (PEA), asystole (AS), and pulse-generating rhythm (PR). Manual annotation of rhythms is time-consuming and infeasible for large datasets. Our objective was to develop ECG-based algorithms for the retrospective and automatic classification of resuscitation cardiac rhythms. METHODS: The dataset consisted of 1631 3- second ECG segments with clinical rhythm annotations, obtained from 298 out-of-hospital cardiac arrest patients...
March 30, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28367110/design-of-an-adaptive-human-machine-system-based-on-dynamical-pattern-recognition-of-cognitive-task-load
#13
Jianhua Zhang, Zhong Yin, Rubin Wang
This paper developed a cognitive task-load (CTL) classification algorithm and allocation strategy to sustain the optimal operator CTL levels over time in safety-critical human-machine integrated systems. An adaptive human-machine system is designed based on a non-linear dynamic CTL classifier, which maps a set of electroencephalogram (EEG) and electrocardiogram (ECG) related features to a few CTL classes. The least-squares support vector machine (LSSVM) is used as dynamic pattern classifier. A series of electrophysiological and performance data acquisition experiments were performed on seven volunteer participants under a simulated process control task environment...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28362581/non-invasive-fetal-ecg-signal-quality-assessment-for-multichannel-heart-rate-estimation
#14
Fernando Andreotti, Felix Grasser, Hagen Malberg, Sebastian Zaunseder
OBJECTIVE: The non-invasive fetal ECG (NI-FECG) from abdominal recordings offers novel prospects for prenatal monitoring. However, NI-FECG signals are corrupted by various non-stationary noise sources, making the processing of abdominal recordings a challenging task. In this contribution, we present an online approach that dynamically assess the quality of NI-FECG to improve fetal heart rate (FHR) estimation. METHODS: Using a Naive Bayes classifier, state-of-the-art and novel signal quality indices (SQIs), and an existing adaptive Kalman filter, FHR estimation was improved...
March 1, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28361357/increasing-accuracy-of-pulse-transit-time-measurements-by-automated-elimination-of-distorted-photoplethysmography-waves
#15
Marit H N van Velzen, Arjo J Loeve, Sjoerd P Niehof, Egbert G Mik
Photoplethysmography (PPG) is a widely available non-invasive optical technique to visualize pressure pulse waves (PWs). Pulse transit time (PTT) is a physiological parameter that is often derived from calculations on ECG and PPG signals and is based on tightly defined characteristics of the PW shape. PPG signals are sensitive to artefacts. Coughing or movement of the subject can affect PW shapes that much that the PWs become unsuitable for further analysis. The aim of this study was to develop an algorithm that automatically and objectively eliminates unsuitable PWs...
March 30, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28359222/online-automated-seizure-detection-in-temporal-lobe-epilepsy-patients-using-single-lead-ecg
#16
Thomas De Cooman, Carolina Varon, Borbála Hunyadi, Wim Van Paesschen, Lieven Lagae, Sabine Van Huffel
Automated seizure detection in a home environment has been of increased interest the last couple of decades. The electrocardiogram is one of the signals that is suited for this application. In this paper, a new method is described that classifies different heart rate characteristics in order to detect seizures from temporal lobe epilepsy patients. The used support vector machine classifier is trained on data from other patients, so that the algorithm can be used directly from the start of each new recording...
February 16, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28352071/efficient-ecg-compression-and-qrs-detection-for-e-health-applications
#17
Mohamed Elgendi, Amr Mohamed, Rabab Ward
Current medical screening and diagnostic procedures have shifted toward recording longer electrocardiogram (ECG) signals, which have traditionally been processed on personal computers (PCs) with high-speed multi-core processors and efficient memory processing. Battery-driven devices are now more commonly used for the same purpose and thus exploring highly efficient, low-power alternatives for local ECG signal collection and processing is essential for efficient and convenient clinical use. Several ECG compression methods have been reported in the current literature with limited discussion on the performance of the compressed and the reconstructed ECG signals in terms of the QRS complex detection accuracy...
March 28, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28345174/overall-evaluability-of-low-dose-protocol-for-computed-tomography-angiography-of-thoracic-aorta-using-80%C3%A2-kv-and-iterative-reconstruction-algorithm-using-different-concentration-contrast-media
#18
Andrea Daniele Annoni, Maria E Mancini, Daniele Andreini, Alberto Formenti, Saima Mushtaq, Enrica Nobili, Marco Guglielmo, Andrea Baggiano, Edoardo Conte, Mauro Pepi
INTRODUCTION: Multidetector Computed Tomography Angiography (MDCTA) is presently the imaging modality of choice for aortic disease. However, the effective radiation dose and the risk related to the use of contrast agents associated with MDCTA is an issue of concern. Aim of this study was to assess image quality of a low dose ECG-gated MDCTA of thoracic aorta using different concentration contrast media without tailored injection protocol. METHODS: Two-hundred patients were randomised into four different scan protocols: Group A (Iodixanol 320 and 80 Kvp tube voltage), Group B (Iodixanol 320 and 100 Kvp tube voltage), Group C (Iomeprol 400 and 80 Kvp tube voltage) and Group D (Iomeprol 400 and 100 Kvp tube voltage)...
March 27, 2017: Journal of Medical Imaging and Radiation Oncology
https://www.readbyqxmd.com/read/28341306/high-frequency-qrs-analysis-in-the-evaluation-of-chest-pain-in-the-emergency-department
#19
Ori Galante, Guy Amit, Yair Granot, Linda R Davrath, Shimon Abboud, Doron Zahger
OBJECTIVES: High frequency QRS (HFQRS) analysis has been shown to be an accurate marker for myocardial ischemia. Our objective was to test the use of HFQRS in diagnosing ACS in the emergency department. METHODS: 324 patients presenting to the ED with chest pain were enrolled. Resting ECG was recorded and later analyzed by an HFQRS algorithm. Results were compared to the conventional ECG diagnosis by 3 independent interpretations: treating physician, expert cardiologist and an automated computer program...
February 20, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/28339578/safe-automatic-one-lead-electrocardiogram-analysis-in-screening-for-atrial-fibrillation
#20
Emma Svennberg, Martin Stridh, Johan Engdahl, Faris Al-Khalili, Leif Friberg, Viveka Frykman, Mårten Rosenqvist
Aims: Screening for atrial fibrillation (AF) using intermittent electrocardiogram (ECG) recordings can identify individuals at risk of AF-related morbidity in particular stroke. We aimed to validate the performance of an AF screening algorithm compared with manual ECG analysis by specially trained nurses and physicians (gold standard) in 30 s intermittent one-lead ECG recordings. Methods: The STROKESTOP study is a mass-screening study for AF using intermittent ECG recordings...
October 6, 2016: Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology
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