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https://www.readbyqxmd.com/read/29164383/image-quality-and-radiation-dose-of-coronary-ct-angiography-performed-with-whole-heart-coverage-ct-scanner-with-intra-cycle-motion-correction-algorithm-in-patients-with-atrial-fibrillation
#1
Daniele Andreini, Gianluca Pontone, Saima Mushtaq, Maria Elisabetta Mancini, Edoardo Conte, Marco Guglielmo, Valentina Volpato, Andrea Annoni, Andrea Baggiano, Alberto Formenti, Valentina Ditali, Marco Perchinunno, Cesare Fiorentini, Antonio L Bartorelli, Mauro Pepi
OBJECTIVES: To evaluate image quality, coronary evaluability and radiation exposure of coronary CT angiography (CCTA) performed with whole-heart coverage cardiac-CT in patients with atrial fibrillation (AF). MATERIALS AND METHODS: We prospectively enrolled 164 patients with AF who underwent a clinically indicated CCTA with a 16-cm z-axis coverage scanner. In all patients CCTA was performed using prospective ECG-triggering with targeted RR interval. We evaluated image quality, coronary evaluability and effective dose (ED)...
November 21, 2017: European Radiology
https://www.readbyqxmd.com/read/29135450/influence-of-acquisition-frame-rate-and-video-compression-techniques-on-pulse-rate-variability-estimation-from-vppg-signal
#2
Luca Cerina, Luca Iozzia, Luca Mainardi
In this paper, common time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmographic signal (vPPG) were compared with heart rate variability (HRV) parameters calculated from synchronized ECG signals. The dual focus of this study was to analyze the effect of different video acquisition frame-rates starting from 60 frames-per-second (fps) down to 7.5 fps and different video compression techniques using both lossless and lossy codecs on PRV parameters estimation...
November 14, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/29129350/evaluation-of-ecg-algorithms-designed-to-improve-detect-of-transient-myocardial-ischemia-to-minimize-false-alarms-in-patients-with-suspected-acute-coronary-syndrome
#3
Michele M Pelter, Yuan Xu, Richard Fidler, Ran Xiao, David W Mortara, Hu Xiao
BACKGROUND: Patients hospitalized for suspected acute coronary syndrome (ACS) are at risk for transient myocardial ischemia. During the "rule-out" phase, continuous ECG ST-segment monitoring can identify transient myocardial ischemia, even when asymptomatic. However, current ST-segment monitoring software is vastly underutilized due to false positive alarms, with resultant alarm fatigue. Current ST algorithms may contribute to alarm fatigue because; (1) they are not designed with a delay (minutes), rather alarm to brief spikes (i...
October 24, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/29127703/comparison-of-two-highly-automated-ecg-algorithms-for-detection-of-drug-induced-cardiac-ion-channel-block
#4
M Brockway, A A Fossa, J W Mason
FDA investigators recently demonstrated in a crossover study that early (J-Tpeak c) and late (Tpeak -Tend ) repolarization duration can differentiate selective potassium block with a high arrhythmia risk from multichannel block with lower risk in subjects receiving dofetilide, verapamil, quinidine or ranolazine. The purpose of this study was to determine if findings by FDA using their published software algorithm could be corroborated using an alternative software algorithm for the same metrics and to determine if methodological differences resulted in clinically meaningful differences in interpretation...
November 11, 2017: Clinical Pharmacology and Therapeutics
https://www.readbyqxmd.com/read/29104745/an-adaptive-and-time-efficient-ecg-r-peak-detection-algorithm
#5
Qin Qin, Jianqing Li, Yinggao Yue, Chengyu Liu
R-peak detection is crucial in electrocardiogram (ECG) signal analysis. This study proposed an adaptive and time-efficient R-peak detection algorithm for ECG processing. First, wavelet multiresolution analysis was applied to enhance the ECG signal representation. Then, ECG was mirrored to convert large negative R-peaks to positive ones. After that, local maximums were calculated by the first-order forward differential approach and were truncated by the amplitude and time interval thresholds to locate the R-peaks...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29103622/a-new-multi-stage-combined-kernel-filtering-approach-for-ecg-noise-removal
#6
Mazhar B Tayel, Ahmed S Eltrass, Abeer I Ammar
Electrocardiogram (ECG) signals are contaminated with different artifacts and noise sources which increase the difficulty in analyzing the ECG signals and obtaining accurate diagnosis of heart diseases. In this paper, a new multi-stage combined adaptive filtering design based on Kernel Recursive Least Squares Tracker (KRLST) and Kernel Recursive Least Squares with Approximate Linear Dependency (ALDKRLS) algorithms is proposed for removing artifacts and noise sources, while preserving the low frequency components and the tiny features of the ECG signal...
October 18, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/29100255/multidetector-computed-tomography-angiography-md-cta-of-coronary-artery-bypass-grafts-update-2017
#7
Florian Jungmann, Tilman Emrich, Peter Mildenberger, Anna Lena Emrich, Christoph Düber, K F Kreitner
Background Coronary artery bypass grafting (CABG) is still an important therapeutic approach in the treatment especially of advanced coronary artery disease. In this study, we elucidate the current role of multidetector computed tomography angiography (MD-CTA) in imaging patients after CABG surgery. Method This study is based on recent reports in the literature (2007 - 2016) on imaging of CABG using 64-slice MD-CT scanners and beyond. We included 13 reports that compared ECG-gated MD-CTA with conventional invasive coronary angiography (ICA) as the reference standard for the assessment of graft patency and for the detection of > 50 % stenoses...
November 3, 2017: RöFo: Fortschritte Auf Dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
https://www.readbyqxmd.com/read/29096553/improved-identification-of-the-electrocardio-signal-for-pulsatile-ventricular-assist-devices
#8
Xinghui Li, Lin Luo, Shidong Zhu, Bibo Yang, Kai Ni, Qian Zhou, Xiaohao Wang
We introduce and investigate a method to identify the feature point of an electrocardiogram (ECG) to provide real-time and accurate trigger signals for pulsatile ventricular assist devices (PVADs). An important part of this method is an improved data processing algorithm, in which a differential calculator and another a low-pass filtering were added to avoid drift in the original signal and systematically delay caused by physical devices. The method was systematically illustrated in this article and a test-setup was built based on the LabVIEW program development environment...
November 3, 2017: Computer Assisted Surgery (Abingdon, England)
https://www.readbyqxmd.com/read/29068369/arrhythmia-evaluation-in-wearable-ecg-devices
#9
Muammar Sadrawi, Chien-Hung Lin, Yin-Tsong Lin, Yita Hsieh, Chia-Chun Kuo, Jen Chien Chien, Koichi Haraikawa, Maysam F Abbod, Jiann-Shing Shieh
This study evaluates four databases from PhysioNet: The American Heart Association database (AHADB), Creighton University Ventricular Tachyarrhythmia database (CUDB), MIT-BIH Arrhythmia database (MITDB), and MIT-BIH Noise Stress Test database (NSTDB). The ANSI/AAMI EC57:2012 is used for the evaluation of the algorithms for the supraventricular ectopic beat (SVEB), ventricular ectopic beat (VEB), atrial fibrillation (AF), and ventricular fibrillation (VF) via the evaluation of the sensitivity, positive predictivity and false positive rate...
October 25, 2017: Sensors
https://www.readbyqxmd.com/read/29065613/r-peak-detection-method-using-wavelet-transform-and-modified-shannon-energy-envelope
#10
Jeong-Seon Park, Sang-Woong Lee, Unsang Park
Rapid automatic detection of the fiducial points-namely, the P wave, QRS complex, and T wave-is necessary for early detection of cardiovascular diseases (CVDs). In this paper, we present an R peak detection method using the wavelet transform (WT) and a modified Shannon energy envelope (SEE) for rapid ECG analysis. The proposed WTSEE algorithm performs a wavelet transform to reduce the size and noise of ECG signals and creates SEE after first-order differentiation and amplitude normalization. Subsequently, the peak energy envelope (PEE) is extracted from the SEE...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29064614/accuracy-of-the-pacemaker-event-recorder-versus-holter-ecg-to-detect-both-symptomatic-and-asymptomatic-ventricular-arrhythmias
#11
Stela Maria Vitorino Sampaio, Neyle Moara Craveiro, Francisco Darrieux, Ítalo Martins de Oliveira, Mauricio Scanavacca, Denise Hachul
Although new pacemakers can register cardiac rhythm, few studies were performed evaluating their accuracy in diagnosing ventricular arrhythmias (VA). This study aimed to assess the correlation and agreement between the pacemaker's monitor and the ambulatory Holter in detecting VA. METHODS/RESULTS: We studied 129 patients with pacemakers, mean age 68.6±19.1 years, 54.8% female. Once Holter monitoring was connected, the pacemakers' event counters were reset and clocks of both systems were synchronized to register ECG simultaneously...
October 24, 2017: Journal of Cardiovascular Electrophysiology
https://www.readbyqxmd.com/read/29064258/new-or-presumed-new-left-bundle-branch-block-in-patients-with-suspected-st-elevation-myocardial-infarction
#12
Vijaya K Pera, David M Larson, Scott W Sharkey, Ross F Garberich, Christopher J Solie, Yale L Wang, Jay H Traverse, Anil K Poulose, Timothy D Henry
AIMS: Using a comprehensive large prospective regional ST-elevation myocardial infarction (STEMI) system database, we evaluated the prevalence, clinical and angiographic characteristics, and outcomes in patients with ischemic symptoms and new or presumed new left bundle branch block (LBBB). We then tested a new hierarchical diagnosis and triage algorithm to identify more accurately new LBBB patients with an acute culprit lesion. METHODS AND RESULTS: From March 2003 to June 2013, 3903 consecutive STEMI patients were treated using the Minneapolis Heart Institute regional STEMI protocol including 131 patients (3...
February 1, 2017: European Heart Journal. Acute Cardiovascular Care
https://www.readbyqxmd.com/read/29061181/paroxysmal-atrial-fibrillation-recognition-based-on-multi-scale-wavelet-%C3%AE-entropy
#13
Yi Xin, Yizhang Zhao
BACKGROUND: This study proposed an effective method based on the wavelet multi-scale α-entropy features of heart rate variability (HRV) for the recognition of paroxysmal atrial fibrillation (PAF). This new algorithm combines wavelet decomposition and non-linear analysis methods. The PAF signal, the signal distant from PAF, and the normal sinus signals can be identified and distinguished by extracting the characteristic parameters from HRV signals and analyzing their quantification indexes...
October 23, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/29060794/modified-automatic-r-peak-detection-algorithm-for-patients-with-epilepsy-using-a-portable-electrocardiogram-recorder
#14
J Jeppesen, S Beniczky, A Fuglsang Frederiksen, P Sidenius, P Johansen
Earlier studies have shown that short term heart rate variability (HRV) analysis of ECG seems promising for detection of epileptic seizures. A precise and accurate automatic R-peak detection algorithm is a necessity in a real-time, continuous measurement of HRV, in a portable ECG device. We used the portable CE marked ePatch® heart monitor to record the ECG of 14 patients, who were enrolled in the videoEEG long term monitoring unit for clinical workup of epilepsy. Recordings of the first 7 patients were used as training set of data for the R-peak detection algorithm and the recordings of the last 7 patients (467...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060654/designing-ecg-based-physical-unclonable-function-for-security-of-wearable-devices
#15
Shihui Yin, Chisung Bae, Sang Joon Kim, Jae-Sun Seo
As a plethora of wearable devices are being introduced, significant concerns exist on the privacy and security of personal data stored on these devices. Expanding on recent works of using electrocardiogram (ECG) as a modality for biometric authentication, in this work, we investigate the possibility of using personal ECG signals as the individually unique source for physical unclonable function (PUF), which eventually can be used as the key for encryption and decryption engines. We present new signal processing and machine learning algorithms that learn and extract maximally different ECG features for different individuals and minimally different ECG features for the same individual over time...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060652/adaptive-fourier-decomposition-based-r-peak-detection-for-noisy-ecg-signals
#16
Ze Wang, Chi Man Wong, Feng Wan
An adaptive Fourier decomposition (AFD) based R-peak detection method is proposed for noisy ECG signals. Although lots of QRS detection methods have been proposed in literature, most detection methods require high signal quality. The proposed method extracts the R waves from the energy domain using the AFD and determines the R-peak locations based on the key decomposition parameters, achieving the denoising and the R-peak detection at the same time. Validated by clinical ECG signals in the MIT-BIH Arrhythmia Database, the proposed method shows better performance than the Pan-Tompkin (PT) algorithm in both situations of a native PT and the PT with a denoising process...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060651/a-cancelable-biometric-scheme-based-on-multi-lead-ecgs
#17
Peng-Tzu Chen, Shun-Chi Wu, Jui-Hsuan Hsieh
Biometric technologies offer great advantages over other recognition methods, but there are concerns that they may compromise the privacy of individuals. In this paper, an electrocardiogram (ECG)-based cancelable biometric scheme is proposed to relieve such concerns. In this scheme, distinct biometric templates for a given beat bundle are constructed via "subspace collapsing." To determine the identity of any unknown beat bundle, the multiple signal classification (MUSIC) algorithm, incorporating a "suppression and poll" strategy, is adopted...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060518/significance-of-modified-empirical-mode-decomposition-for-ecg-denoising
#18
Pratik Singh, S Shahnawazuddin, Gayadhar Pradhan
The primary objective of the presented work is to exploit the power of modified empirical mode decomposition (M-EMD) for the denoising of ECG signals. It is well known that the ECG signals get corrupted by a number of noises during the recording process. Especially, during wireless ECG recording and ambulatory patient monitoring, the signal gets corrupted by additive white Gaussian noise (AWGN). Over the years, several techniques have been proposed for ECG denoising. Among those, empirical mode decomposition (EMD) and nonlocal means (NLM) algorithm are noted to be quite effective...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060491/non-contact-acquisition-of-respiration-and-heart-rates-using-doppler-radar-with-time-domain-peak-detection-algorithm
#19
Xiaofeng Yang, Guanghao Sun, Koichiro Ishibashi
The non-contact measurement of the respiration rate (RR) and heart rate (HR) using a Doppler radar has attracted more attention in the field of home healthcare monitoring, due to the extremely low burden on patients, unconsciousness and unconstraint. Most of the previous studies have performed the frequency-domain analysis of radar signals to detect the respiration and heartbeat frequency. However, these procedures required long period time (approximately 30 s) windows to obtain a high-resolution spectrum. In this study, we propose a time-domain peak detection algorithm for the fast acquisition of the RR and HR within a breathing cycle (approximately 5 s), including inhalation and exhalation...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060478/real-time-fetal-ecg-extraction-from-multichannel-abdominal-ecg-using-compressive-sensing-and-ica
#20
Dharmendra Gurve, Jeevan K Pant, Sridhar Krishnan
An improved method for separation of fetal electrocardiogram (fECG) from abdominal electrocardiogram (abdECG) is proposed in this paper. Proposed method combines two widely used techniques i.e. compressive sensing (CS) and independent component analysis (ICA). Separation of fECG is carried out by applying ICA directly on the compressed signal. The efficient improved ℓp-regularized least-sqaures (ℓp-RLS) algorithm is used for signal reconstruction, which provides better reconstruction quality and less processing time in comparison with other existing methods...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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