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ECG algorithm

Jeevan K Pant, Sridhar Krishnan
OBJECTIVE: To present a new compressive sensing (CS)-based method for the acquisition of ECG signals and for robust estimation of heart-rate variability (HRV) parameters from compressively sensed measurements with high compression ratio. APPROACH: CS is used in the biosensor to compress the ECG signal. Estimation of the locations of QRS segments is carried out by applying two algorithms on the compressed measurements. The first algorithm reconstructs the ECG signal by enforcing a block-sparse structure on the first-order difference of the signal, so the transient QRS segments are significantly emphasized on the first-order difference of the signal...
March 15, 2018: Physiological Measurement
Yeonsik Noh, Hugo F Posada-Quintero, Yan Bai, Joseph White, John P Florian, Peter R Brink, Ki H Chon
Prolonged and high pressure diving may lead to various physiological changes including significant alterations of autonomic nervous system (ANS) activity that may be associated with altered physical performance, decompression sickness, or central nervous system oxygen toxicity. Ideally, researchers could elucidate ANS function before, during, and after dives that are most associated with altered function and adverse outcomes. However, we have a limited understanding of the activities of the ANS especially during deeper prolonged SCUBA diving because there has never been a convenient way to collect physiological data during deep dives...
2018: Frontiers in Physiology
Joseph M Bumgarner, Cameron T Lambert, Ayman A Hussein, Daniel J Cantillon, Bryan Baranowski, Kathy Wolski, Bruce D Lindsay, Oussama M Wazni, Khaldoun G Tarakji
BACKGROUND: The Kardia Band (KB) is a novel technology that enables patients to record a rhythm strip using an Apple smartwatch. The band is paired with an app providing automated detection of atrial fibrillation (AF). OBJECTIVES: To examine whether the KB could accurately differentiate sinus rhythm (SR) from AF compared to physician-interpreted 12-lead ECGs and KB recordings. METHODS: Consecutive patients with AF presenting for cardioversion (CV) were enrolled...
March 7, 2018: Journal of the American College of Cardiology
Sebastian Polak, Barbara Wiśniowska, Aleksander Mendyk, Adam Pacławski, Jakub Szlęk
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morphology. QT interval and its modification are the most commonly used surrogates of the drug triggered arrhythmia, but it is known that the QT interval itself is determined by other nondrug related parameters, physiological and pathological. In the current study, we used the computational intelligence algorithms to analyze correlations between various simulated physiological parameters and QT interval...
2018: Computational and Mathematical Methods in Medicine
Sebastian Polak, Klaus Romero, Alexander Berg, Nikunjkumar Patel, Masoud Jamei, David Hermann, Debra Hanna
Cardiotoxicity is among the top drug safety concerns, and is of specific interest in tuberculosis, where this is a known or potential adverse event of current and emerging treatment regimens. As there is a need for a tool, beyond the QT interval, to quantify cardiotoxicity early in drug development, an empirical decision tree based classifier was developed to predict the risk of Torsades de pointes (TdP). The cardiac risk algorithm was developed using pseudo-electrocardiogram (ECG) outputs derived from cardiac myocyte electromechanical model simulations of increasing concentrations of 96 reference compounds which represented a range of clinical TdP risk...
March 8, 2018: Journal of Pharmacokinetics and Pharmacodynamics
Heenam Yoon, Su Hwan Hwang, Sang Ho Choi, Jae-Won Choi, Yu Jin Lee, Do-Un Jeong, Kwang Suk Park
OBJECTIVES: Obstructive sleep apnea (OSA) is a major sleep disorder that causes insufficient sleep, which is linked with daytime fatigue and accidents. Long-term sleep monitoring can provide meaningful information for patients with OSA to prevent and manage their symptoms. Even though various methods have been proposed to objectively measure sleep in ambulatory environments, less reliable information was provided in comparison with standard polysomnography (PSG). Therefore, this paper proposes an algorithm for distinguishing wakefulness from sleep using a patch-type device, which is applicable for both healthy individuals and patients with OSA...
March 2018: Computer Methods and Programs in Biomedicine
Iacopo Olivotto, Gherardo Finocchiaro, Niccolò Maurizi, Lia Crotti
Ventricular or supraventricular ectopic beats or atrial fibrillation may be the first presentation of uncommon cardiac disease, both acquired and genetically determined. In some patients, these manifestations can be the first sign of the underlying cardiac disorder. In others, however, they are also important as prognostic indicators, reflecting electrical instability and risk. Most cardiology clinics are busy environments where the implementation of complex diagnostic algorithms is not feasible. However, it is equally impossible to reach a final diagnosis, among the thousands of rare diseases that involve the heart, moving from a first line clinical and instrumental examination...
April 15, 2018: International Journal of Cardiology
Gianmarco Lombardi, Anna Rita Sorbo, Gianluigi Guida, Lara La Brocca, Riccardo Fenici, Donatella Brisinda
Ventricular arrhythmias (VAs) with left bundle-branch-block and inferior axis morphology (LBBB-IA), suggestive of outflow tract (OT) origin, are a challenge in sports medicine because they can be benign or expression of a silent cardiomyopathy. Non-invasive classification is essential to plan ablation strategy if required. We aimed to evaluating magnetocardiographic (MCG) discrimination of OT-VAs site of origin (SoO). MCG and ECG data of 26 sports activity practitioners, with OT-VAs were analyzed. OT-VAs-SoO was classified with discriminant analysis (DA) of 8 MCG parameters and with invasively-validated ECG algorithms...
February 16, 2018: Journal of Electrocardiology
D Panigrahy, P K Sahu
Generally, P and T waves in an electrocardiogram (ECG) signal are lower in amplitude compared to amplitude of QRS complex and contaminated with noises from various sources. Due to these problems and lack of universal delineation rule, the automated detection and delineation of T and P waves (on, off, and peak position of T and P wave) in the ECG signal are challenging task. The effectiveness for detection of on, off, and peak position of T and P wave by using differential evolution (DE) algorithm with the denoising technique has been verified in this manuscript...
February 26, 2018: Australasian Physical & Engineering Sciences in Medicine
Tamanna K Singh, Aaron L Baggish
Premature ventricular beats (PVBs) in competitive athletes are incidentally found during pre-participation ECG screening. Their clinical significance remains debatable with several studies suggesting they are a benign reflection of athlete's heart, and others proposing they may indicate underlying structural heart disease and heightened risk for sudden cardiac death (SCD). Areas covered: Effective management of athletes with PVBs may best be accomplished using an algorithmic approach for risk stratification with a goal of differentiating benign PVBs from those reflective of underlying cardiomyopathies...
February 23, 2018: Expert Review of Cardiovascular Therapy
Monika Simjanoska, Bojana Koteska, Ana Madevska Bogdanova, Nevena Ackovska, Vladimir Trajkovik, Magdalena Kostoska
Low-cost biosensors combined with low-cost portable devices can be very useful in time critical situations of mass casualties, when fast triage procedure must be attained. A methodology that uses ECG to derive the vital parameters (heart rate and respiratory rate) needed for the triage procedure is presented and it is aimed to leverage affordable low-cost equipment that can be easily utilized by urgent medical units or even volunteers in events of considerable number of injured civilians. The methodology relies on selected well-known and published algorithms for heart rate and respiratory rate derivation from a given ECG signal...
January 30, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Ivan D Castro, Carolina Varon, Tom Torfs, Sabine Van Huffel, Robert Puers, Chris Van Hoof
Sleep-related conditions require high-cost and low-comfort diagnosis at the hospital during one night or longer. To overcome this situation, this work aims to evaluate an unobtrusive monitoring technique for sleep apnea. This paper presents, for the first time, the evaluation of contactless capacitively-coupled electrocardiography (ccECG) signals for the extraction of sleep apnea features, together with a comparison of different signal quality indicators. A multichannel ccECG system is used to collect signals from 15 subjects in a sleep environment from different positions...
February 13, 2018: Sensors
Atefeh Goshvarpour, Ataollah Abbasi, Ateke Goshvarpour
BACKGROUND: The purpose of the current study was to examine the effectiveness of Matching Pursuit (MP) algorithm in emotion recognition. METHODS: Electrocardiogram (ECG) and galvanic skin responses (GSR) of 11 healthy students were collected while subjects were listening to emotional music clips. Applying three dictionaries, including two wavelet packet dictionaries (Coiflet, and Daubechies) and discrete cosine transform, MP coefficients were extracted from ECG and GSR signals...
December 2017: Biomedical Journal
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L Krichmar, Nikil Dutt, Chris Van Hoof
Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine learning technique to estimate heart-rate from electrocardiogram (ECG) data collected using wearable devices. The novelty of our approach lies in (1) encoding spatio-temporal properties of ECG signals directly into spike train and using this to excite recurrently connected spiking neurons in a Liquid State Machine computation model; (2) a novel learning algorithm; and (3) an intelligently designed unsupervised readout based on Fuzzy c-Means clustering of spike responses from a subset of neurons (Liquid states), selected using particle swarm optimization...
January 12, 2018: Neural Networks: the Official Journal of the International Neural Network Society
Erik Alonso, Elisabete Aramendi, Unai Irusta, Mohamud Daya, Carlos Corcuera, Yuanzheng Lu, Ahamed H Idris
AIM: To evaluate the performance of a state-of-the-art cardiopulmonary resuscitation (CPR) artefact suppression method by assessing to what extent the filtered electrocardiogram (ECG) can be correctly diagnosed by emergency medicine doctors. METHODS: A total of 819 ECG segments were used. Each segment contained two consecutive 10s intervals, an artefact free interval and an interval corrupted by CPR artefacts. Each ECG segment was digitally processed to remove CPR artefacts using an adaptive filter...
February 2, 2018: Resuscitation
Mohamed Bahaz, Redha Benzid
Electrocardiogram (ECG) signals are often contaminated with artefacts and noises which can lead to incorrect diagnosis when they are visually inspected by cardiologists. In this paper, the well-known discrete Fourier series (DFS) is re-explored and an efficient DFS-based method is proposed to reduce contribution of both baseline wander (BW) and powerline interference (PLI) noises in ECG records. In the first step, the determination of the exact number of low frequency harmonics contributing in BW is achieved...
February 5, 2018: Australasian Physical & Engineering Sciences in Medicine
Linda Sarah Ross, Markus Bettin, Simon Kochhäuser, Martin Ritter, Jens Minnerup, Lars Eckardt, Florian Reinke, Ralf Dittrich
BACKGROUND: Atrial fibrillation (AF) is an important cause of stroke. Continuous electrocardiography (ECG) monitoring with software-based analysis algorithms has been suggested to enhance the AF detection rate. We investigated the ability of stroke risk analysis (SRA) in the detection of AF in acute stroke patients. METHODS: Consecutive stroke patients numbering 1,153 were screened. Patients with cardioembolic stroke related to AF (n = 296, paroxysmal n = 63, persistent n = 233) and patients with cryptogenic stroke (n = 309) after standard diagnostic work-up (bedside ECG monitoring, ultrasound, transesophageal echocardiography, 24 h Holter ECG) received SRA during their stay at the Stroke Unit...
January 17, 2018: Cerebrovascular Diseases
Keun Her, Joon Yeong Kim, Ki Moo Lim, Seong Wook Choi
BACKGROUND: Counter-pulsation control (CPC) by ventricular assist devices (VADs) is believed to reduce cardiac load and increase coronary perfusion. However, patients with VADs have a higher risk of arrhythmia, which may cause the CPC to fail. Consequently, CPC has not been applied by VADs in clinical practice. The phase-locked loop (PLL) algorithm for CPC is readily implemented in VADs; however, it requires a normal, consistent heartbeat for adequate performance. When an arrhythmia occurs, the algorithm maintains a constant pumping rate despite the unstable heartbeat...
February 2, 2018: Biomedical Engineering Online
Jooyoung Oh, Dongrae Cho, Jaesub Park, Se Hee Na, Jongin Kim, Jaeseok Heo, Cheung Soo Shin, Jae-Jin Kim, Jin Young Park, Boreom Lee
Delirium is an important syndrome in intensive care unit (ICU), however, it is usually under-recognized during the treatment. This study was performed to investigate whether the delirious patients can be successfully distinguished from the non-delirious patients by using heart rate variability (HRV) and machine learning. Approach: Electrocardiography (ECG) data of 140 patients was acquired during daily ICU care, and HRV were analyzed. Delirium, including its type, severity, and etiologies, was evaluated daily by trained psychiatrists...
January 29, 2018: Physiological Measurement
Andrew J Cook, Ben Ng, Gaetano D Gargiulo, Diane Hindmarsh, Mark Pitney, Torsten Lehmann, Tara Julia Hamilton
We present a method for calculating instantaneous oxygen uptake (VO2) through the use of a non-invasive and non-obtrusive (i.e. without a face mask) wearable device, together with its clinical evaluation against a standard technique based upon expired gas calorimetry. This method can be integrated with existing wearable devices, we implemented it in the "Device for Reliable Energy Expenditure Monitoring" (DREEM). The DREEM comprises a single lead electrocardiogram (ECG) device combined with a tri-axial accelerometer and is worn around the waist...
January 17, 2018: Medical Engineering & Physics
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