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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
#1
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
#2
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
#3
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
https://www.readbyqxmd.com/read/28333976/early-diagnosis-of-acute-myocardial-infarction-using-high-sensitivity-troponin-i
#4
Johannes Tobias Neumann, Nils Arne Sörensen, Francisco Ojeda, Thomas Renné, Renate B Schnabel, Tanja Zeller, Mahir Karakas, Stefan Blankenberg, Dirk Westermann
OBJECTIVE: There is a clinical need for early and accurate diagnosis of acute myocardial infarction (AMI). Current European Society of Cardiology (ESC) guidelines recommend diagnosis of non-ST-elevation AMI based on serial troponin measurements. We aimed to challenge the ESC guidelines using 1) a high-sensitivity troponin I (hs-TnI) baseline cutoff, 2) an absolute hs-TnI change after 1 hour and 3) additional application of an ischemic ECG. METHODS: 1,516 patients with suspected AMI presenting to the emergency department were included...
2017: PloS One
https://www.readbyqxmd.com/read/28333651/automated-ecg-noise-detection-and-classification-system-for-unsupervised-healthcare-monitoring
#5
Udit Satija, Barathram Ramkumar, M Sabarimalai Manikandan
OBJECTIVE: Automatic detection and classification of noises can play a vital role in the development of robust unsupervised electrocardiogram (ECG) analysis systems. This paper proposes a novel unified framework for automatic detection, localization and classification of single and combined ECG noises. METHODS: The proposed framework consists of the modified ensemble empirical mode decomposition (CEEMD), the shortterm temporal feature extraction, and the decision rules based noise detection and classification...
March 22, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28327645/a-novel-point-of-care-smartphone-based-system-for-monitoring-the-cardiac-and-respiratory-systems
#6
Kwanghyun Sohn, Faisal M Merchant, Omid Sayadi, Dheeraj Puppala, Rajiv Doddamani, Ashish Sahani, Jagmeet P Singh, E Kevin Heist, Eric M Isselbacher, Antonis A Armoundas
Cardio-respiratory monitoring is one of the most demanding areas in the rapidly growing, mobile-device, based health care delivery. We developed a 12-lead smartphone-based electrocardiogram (ECG) acquisition and monitoring system (called "cvrPhone"), and an application to assess underlying ischemia, and estimate the respiration rate (RR) and tidal volume (TV) from analysis of electrocardiographic (ECG) signals only. During in-vivo swine studies (n = 6), 12-lead ECG signals were recorded at baseline and following coronary artery occlusion...
March 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28325438/fetal-ecg-extraction-via-type-2-adaptive-neuro-fuzzy-inference-systems
#7
Hajar Ahmadieh, Babak Mohammadzadeh Asl
BACKGROUND AND OBJECTIVE: We proposed a noninvasive method for separating the fetal ECG (FECG) from maternal ECG (MECG) by using Type-2 adaptive neuro-fuzzy inference systems. METHODS: The method can extract FECG components from abdominal signal by using one abdominal channel, including maternal and fetal cardiac signals and other environmental noise signals, and one chest channel. The proposed algorithm detects the nonlinear dynamics of the mother's body. So, the components of the MECG are estimated from the abdominal signal...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28324986/electrocardiographic-waveforms-fitness-check-device-technique-for-sudden-cardiac-death-risk-screening
#8
O J Escalona, M Mendoza
A novel cardiac health device technique development for reliable, non-invasive and cost-effective heart screening in preventive cardiovascular healthcare is presented. In particular, identification of apparently healthy individuals involved in sports activities (particularly in the young, age <; 35 years) who may be at-risk of sudden-cardiac-death (SCD) is mainly focused here. Nevertheless, the same device technique may be prospectively extended for detecting cardiovascular abnormalities in children and adolescents with type1-diabetes, and also in detecting patients with Brugada syndrome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28287994/ensemble-empirical-mode-decomposition-with-principal-component-analysis-a-novel-approach-for-extracting-respiratory-rate-and-heart-rate-from-photoplethysmographic-signal
#9
Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami
The photoplethysmographic (PPG) signal measures the local variations of blood volume in tissues, reflecting the peripheral pulse modulated by cardiac activity, respiration and other physiological effects. Therefore, PPG can be used to extract the vital cardiorespiratory signals like heart rate (HR), and respiratory rate (RR) and this will reduce the number of sensors connected to the patient's body for recording these vital signs. In this paper, we propose an algorithm based on ensemble empirical mode decomposition with principal component analysis (EEMD-PCA) as a novel approach to estimate HR and RR simultaneously from PPG signal...
March 7, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28284166/the-effect-of-targeted-temperature-management-on-qt-and-corrected-qt-intervals-in-patients-with-cardiac-arrest
#10
Zachary Rosol, David F Miranda, Yader Sandoval, Bradley A Bart, Stephen W Smith, Steven R Goldsmith
BACKGROUND: Targeted Temperature Management (TTM) improves outcomes after cardiac arrest but may affect the QT and QTc intervals which could increase the chance of subsequent arrhythmia. We report here the effects of TTM on both computer-derived and manually calculated QT and QTc as well as the relationship of the length of the QTc and serious arrhythmia in a retrospective single-center experience. METHODS: 193 patients undergoing TTM for cardiac arrest were studied...
February 22, 2017: Journal of Critical Care
https://www.readbyqxmd.com/read/28270285/initial-experience-of-the-application-of-automated-tube-potential-selection-technique-in-high-pitch-dual-source-ct-angiography-of-whole-aorta-using-third-generation-dual-source-ct-scanner
#11
Lingyan Kong, Jixiang Liang, Huadan Xue, Yining Wang, Yun Wang, Zhengyu Jin, Daming Zhang, Jin Chen
Objective To evaluate the application of automated tube potential selection technique in high-pitch dual-source CT aortic angiography on a third-generation dual-source CT scanner. Methods Whole aorta angiography were indiated in 59 patients,who were divided into 2 groups using a simple random method:in group 1 there were 31 patients who underwent the examination with automated tube potential selection using a vascular setting with a preferred image quality of 288 mA/100 kV;in group 2 there were 28 patients who underwent the examination with a tube voltage of 100 kV and automated tube current modulation using a reference tube current of 288 mA...
February 20, 2017: Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae
https://www.readbyqxmd.com/read/28269483/tracking-driver-s-heart-rate-by-continuous-wave-doppler-radar
#12
Kwang Jin Lee, Chanki Park, Boreom Lee
Developing driving safety system with medical assistance devices for preventing accidents has become a major social issue in recent year. These devices have been developed using electrocardiogram (ECG) and photoplethysmogram (PPG) for measuring the heart rate (HR). However, driver should directly contact with the sensor for monitoring the HR. Recently, non-contact system based on continuous-wave Doppler radar has widely studied for monitoring HR. The periodogram by Fast Fourier Transform (FFT) was used for estimating HR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269246/detection-of-atrial-fibrillation-with-seismocardiography
#13
Mikko Pankaala, Tero Koivisto, Olli Lahdenoja, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen
In this paper we study the feasibility of seismocardiography (SCG) for the detection of Atrial Fibrillation (AF). In this preclinical study, data acquired from one patient having paroxysmal AF (no other heart diseases) is used to introduce specific changes in SCG signal due to AF. Observed changes and phenomena create a foundation for the development of SCG-based AF detection algorithms. SCG data was recorded from the sternum of an AF patient in dorso-ventral direction while at rest in a supine position using a three-axis high precision MEMS accelerometer simultaneously with a one-lead ECG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269171/mesh-resolution-impacts-the-accuracy-of-inverse-and-forward-ecg-problems
#14
Bing Yao, Shenli Pei, Hui Yang
Electrocardiographic imaging (ECGI) has become an important medical diagnosis tool that assists scientists to noninvasively investigate cardiac electric activity. Many previous works have studied the inverse and forward ECG problems to understand how to reconstruct the cardiac electric activity from the body potential distribution. However, the inverse ECG problem is highly ill-conditioned and very sensitive to errors and noises. Thus, there is a need to study the sensitivity of inverse and forward ECG problems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269125/non-contact-robust-heart-rate-estimation-using-hsv-color-model-and-matrix-based-iir-filter-in-the-face-video-imaging
#15
Dongrae Cho, Boreom Lee
The heart rate (HR) is one of the important indicators for observing the patient condition. Therefore, many estimation techniques for acquiring heart rate have been developed. The photoplethysmography (PPG) and electrocardiography (ECG) are the common measurement techniques for estimating the heart rate. However, they should contact on the human skin in order to estimate the accurate heart rate. In this paper, we propose a non-contact robust heart rate measurement method using a webcam device. In addition, we evaluated the performance of the proposed algorithm in comparison with other algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269118/an-eemd-pca-approach-to-extract-heart-rate-respiratory-rate-and-respiratory-activity-from-ppg-signal
#16
Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami
The pulse oximeter's photoplethysmographic (PPG) signals, measure the local variations of blood volume in tissues, reflecting the peripheral pulse modulated by cardiac activity, respiration and other physiological effects. Therefore, PPG can be used to extract the vital cardiorespiratory signals like heart rate (HR), respiratory rate (RR) and respiratory activity (RA) and this will reduce the number of sensors connected to the patient's body for recording vital signs. In this paper, we propose an algorithm based on ensemble empirical mode decomposition with principal component analysis (EEMD-PCA) as a novel approach to estimate HR, RR and RA simultaneously from PPG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269117/respiratory-rate-estimation-from-multilead-directions-based-on-ecg-delineation
#17
M Noriega, E J Maranon, D Romero, M Orini, R Almeida
Estimating the instantaneous respiratory rate (Rr) from the electrocardiogram (ECG) is of interest as respiration direct measurement in clinical situations is often cumbersome. In this study, the Rr was estimated from the same Final Directions of maximum projection (FD) used for multi lead ECG automatic delineation. Power spectral analysis over the directions based on QRS complex main peak and T wave onset, peak and end spatial loops was used for Rr estimation. On a subset of the Physionet MGH/MF dataset, the proposed method yielded more accurate Rr estimates (minimum mean absolute error (MAE), 2...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269116/wolff-parkinson-white-wpw-syndrome-the-detection-of-delta-wave-in-an-electrocardiogram-ecg
#18
Hassan Adam Mahamat, Sabir Jacquir, Cliff Khalil, Gabriel Laurent, Stephane Binczak
The delta wave remains an important indicator to diagnose the WPW syndrome. In this paper, a new method of detection of delta wave in an ECG signal is proposed. Firstly, using the continuous wavelet transform, the P wave, the QRS complex and the T wave are detected, then their durations are computed after determination of the boundary location (onsets and offsets of the P, QRS and T waves). Secondly, the PR duration, the QRS duration and the upstroke of the QRS complex are used to determine the presence or absence of the delta wave...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269115/detection-of-mental-stress-due-to-oral-academic-examination-via-ultra-short-term-hrv-analysis
#19
R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability (HRV) analysis has been widely explored in the last years, while ultra-short term (less than 5 minutes) HRV has been not. This study aims to detect mental stress using linear and non-linear HRV features extracted from 3 minutes ECG excerpts recorded from 42 university students, during oral examination (stress) and at rest after a vacation. HRV features were then extracted and analyzed according to the literature using validated software tools...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269114/application-of-a-new-robust-ecg-t-wave-delineation-algorithm-for-the-evaluation-of-the-autonomic-innervation-of-the-myocardium
#20
Matteo Cesari, Jesper Mehlsen, Anne-Birgitte Mehlsen, Helge Bjarup Dissing Sorensen
T-wave amplitude (TWA) is a well know index of the autonomic innervation of the myocardium. However, until now it has been evaluated only manually or with simple and inefficient algorithms. In this paper, we developed a new robust single-lead electrocardiogram (ECG) T-wave delineation algorithm that is able to detect the T-wave with a wavelet based method and automatically calculate the TWA. We evaluated the algorithm on the QT database, achieving a sensitivity of 99.92% for the T wave peak and 99.38% for the T wave end...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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