Cardiac arrest

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Cardiac arrest, (also known as cardiopulmonary arrest or circulatory arrest) is the cessation of normal circulation of the blood due to failure of the heart to contract effectively. (Wikipedia.org)






Conferences related to Cardiac arrest

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2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

The 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies including Computing, communication, IOT, LiDAR, Image Analysis, wireless communication and other new technologies

  • 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

    The Ninth International Conference on Computing, Communication and Networking Technologies (9th ICCCNT 2018) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies. Following the great success of ICCCNT’08, ICCCNT’10, ICCCNT’12, ICCCNT'13, ICCCNT'14 , ICCCNT'15,ICCCNT'16 and ICCCNT'17. The ninth edition of the event, ICCCNT’17, will be held in IISc, Bangalore on July 10-12, 2018. The conference will consist of keynote speeches, technical sessions, and exhibition. The technical sessions will present original and fundamental research advances, and the workshops will focus on hot topics in Information and Communication Engineering. Experts from NASA, MIT, Japan will give key note speeches

  • 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

    (ICCCNT) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies.

  • 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

    The Sixth International Conference on Computing, Communications and Networking Technologies (ICCCNT) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies

  • 2014 5th International Conference on Computing Communication and Networking Technologies (ICCCNT)

    The Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT) aims to provide a forum that brings together International researchers from academia and practitioners in the industry to meet and exchange ideas and recent research work on all aspects of Information and Communication Technologies

  • 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

    The scope of the Conference includes include, but are certainly not limited to the following:Mobile computingGrid / Cloud / Parallel ComputingOptical / Quantum ComputingSoft ComputingPattern RecognitionSignal / Image ProcessingBiometrics / Biomedical EngineeringMobile CommunicationBroadband CommunicationWireless CommunicationOptical CommunicationRF ElectronicsElectronics Devices / SystemsVLSI / Embedded SystemsMEMS/NEMSNanotechnologyPhotonic / Opto-electronic Structures / DevicesOptical NetworksMobile / Sensor / Ad-hoc NetworksInternet/Multimedia NetworksNetwork Security / Cryptography

  • 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)

    The purpose of ICCCNT 2012 is to bring together researchers from the computing, communication and networking communities to present ground-breaking research and debate key issues of common interest. International experts will share their vision, extensive experience and knowledge gained through modeling, lab and field trials and will discuss the applications of a variety of technologies world wide. It also provides ideal opportunities for consolidating and establishing collaborations at the international level.

  • 2010 International Conference on Computing, Communication and Networking Technologies (ICCCNT'10)

    The second International Conference on Computing, Communication and Networking Technologies (ICCCNT 10) will be held at the Chettinad College of Engineering and Technology (CCET), Karur (DT), TamilNadu, India from July 29th to 31st 2010. The CCET is promoted by a reputed 75 year old Group of Educational Institutions Chettinad House . The purpose of ICCCNT 10, is to bring together researchers from the computing, communication and networking communities to present ground-breaking research and debate key


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural Engineering

  • 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural Engineering is an emerging core discipline,which coalesces neuroscience with engineering.Members of both the Neuroscience and Engineering Communities areencouraged to attend this highly multidisciplinarymeeting. The conference will highlight the emergingengineering innovations in the restoration andenhancement of impaired sensory, motor, andcognitive functions, novel engineering for deepeningknowledge of brain function, and advanced designand use of neurotechnologies

  • 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2007 3rd International IEEE/EMBS Conference on Neural Engineering

  • 2005 2nd International IEEE/EMBS Conference on Neural Engineering

  • 2003 1st International IEEE/EMBS Conference on Neural Engineering


2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)

CBMS 2019 will provide an international forum to discuss the latest developments in the field of computational medicine, biomedical informatics and related fields. During the CBMS symposium, there will be regular and special track (ST) sessions with technical contributions reviewed and selected by an international programme committee, as well as keynote talks and tutorials given by leading experts in their fields. Regular and ST presentations will cover a broad range of issues in related to areas in the context of medical informatics, e-Health, computer vision, healthcare games, software systems in medicine, big data analytics in healthcare, cognitive computing in healthcare, telemedicine systems, medical education, HCI in healthcare, web-based medical information, active and healthy aging systems, technology in clinical and healthcare research, among others.


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


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Periodicals related to Cardiac arrest

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


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Xplore Articles related to Cardiac arrest

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Your personal virtual heart

IEEE Spectrum, 2014

A poet might say that each human being's heart is a unique mystery. Those of us working in the brand new field of computational medicine, however, can now model each of those unique hearts with marvelous accuracy and reveal their secrets. In my laboratory at Johns Hopkins University, my team creates computer models to simulate individual patients' hearts, which can ...


Meanaging Knowledge for the emergency care of heart attack patients: Paramedics and thrombolytic treatment

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006

The objective of this paper is to examine the knowledge management (KM) paradigm in the context of UK paramedics' assessment and treatment of patients with suspected acute myocardial infarction (MI) or 'heart attack'. We outline the role of thrombolytic therapy and other aspects of emergency cardiac care and discuss how contemporary KM tools and techniques can be used to support ...


A smart device for the detection of heart abnormality using R-R interval

2016 28th International Conference on Microelectronics (ICM), 2016

Heart disease is the number one cause of death for both men and women worldwide. Heart attacks represent 30% of global fatalities and are classified as high medical emergencies. Unfortunately, almost half of mortal sudden cardiac arrest occurs outside a hospital. In an attempt to decrease this rate and thus, be able to save lives, it is decisive to anticipate ...


Where the heart is [Women to Watch]

IEEE Women in Engineering Magazine, 2009

Features profiles of three women in engineering: Karen Christman, Paulette January and Catherine Klapperich.


Analysing the dynamics of pulseless electrical activity during cardiopulmonary resuscitation

2006 Computers in Cardiology, 2006

Possible clinical states of a cardiac arrest patient are ventricular fibrillation/tachycardia (VF/VT), asystole (ASY) or pulseless electrical activity (PEA), and the treatment goals are return of spontaneous circulation (ROSC) and neurologic ally intact survival. Waveform analysis has been used in VF to predict treatment outcomes and we hypothesised that similar analysis in PEA could predict transformation to ROSC. We analysed ...


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Educational Resources on Cardiac arrest

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IEEE-USA E-Books

  • Your personal virtual heart

    A poet might say that each human being's heart is a unique mystery. Those of us working in the brand new field of computational medicine, however, can now model each of those unique hearts with marvelous accuracy and reveal their secrets. In my laboratory at Johns Hopkins University, my team creates computer models to simulate individual patients' hearts, which can help cardiologists carry out lifesaving treatments. Such models may soon transform medicine, ushering in a new kind of personalized health care with radically improved outcomes. . Biomedical engineers have learned how to use numerical models to generate increasingly sophisticated “virtual organs” over the past decade, and rapid developments in cardiac simulation have made the virtual heart the most complete model of all. It's a complex replica, as it must mimic the heart's workings at the molecular scale, through the cellular scale, and up to the level of the whole organ, where muscle tissue expands and contracts with every heartbeat. What's more, the modeling at these different scales must be tightly integrated to accurately render the constant feedback interactions that govern the functions of the heart.Such models have already proved their value for basic cardiac research, allowing scientists to plug in experimental data and study what goes on in both normal and diseased hearts. Now, virtual hearts are poised to deliver breakthroughs at the bedside. Starting with a patient's MRI scans, specialists in computational cardiology can create a personalized model of the patient's heart to study his or her unique ailment. Doctors can then poke and prod the computerized organ in ways that simply aren't possible with a flesh-andblood heart. With these models at their disposal, cardiologists should be able to improve therapies, minimize the invasiveness of diagnostic procedures, and reduce health-care costs. While this simulation-based medicine is still in the experimental stages, I believe upcoming clinical trials will show the real value of virtual hearts.

  • Meanaging Knowledge for the emergency care of heart attack patients: Paramedics and thrombolytic treatment

    The objective of this paper is to examine the knowledge management (KM) paradigm in the context of UK paramedics' assessment and treatment of patients with suspected acute myocardial infarction (MI) or 'heart attack'. We outline the role of thrombolytic therapy and other aspects of emergency cardiac care and discuss how contemporary KM tools and techniques can be used to support the development and retention of key clinical skills and knowledge in this emerging field of practice

  • A smart device for the detection of heart abnormality using R-R interval

    Heart disease is the number one cause of death for both men and women worldwide. Heart attacks represent 30% of global fatalities and are classified as high medical emergencies. Unfortunately, almost half of mortal sudden cardiac arrest occurs outside a hospital. In an attempt to decrease this rate and thus, be able to save lives, it is decisive to anticipate a heart attack by early detection of concomitant signs. Furthermore, if associated symptoms of heart abnormalities such as arrhythmias could be foreseen, unaware patients could be alerted beforehand thus, granting them precious time to seek effective medical assistance. Finally, patients with heart conditions are at high risk of running irreversible incidents when left alone at home without close surveillance or monitoring. The objective of this paper is to present a comprehensive platform with a threefold objective aiming at contributing towards a vital solution to the aforementioned unfortunate encounters. The platform consists of an electronic device interfaced with a smart phone that will acquire electrocardiogram (ECG) signals around the clock, and using inter-beat (R-R) interval analysis, alert the patient at once, and instantly contact a preprogrammed emergency service number when a risk threshold is gauged.

  • Where the heart is [Women to Watch]

    Features profiles of three women in engineering: Karen Christman, Paulette January and Catherine Klapperich.

  • Analysing the dynamics of pulseless electrical activity during cardiopulmonary resuscitation

    Possible clinical states of a cardiac arrest patient are ventricular fibrillation/tachycardia (VF/VT), asystole (ASY) or pulseless electrical activity (PEA), and the treatment goals are return of spontaneous circulation (ROSC) and neurologic ally intact survival. Waveform analysis has been used in VF to predict treatment outcomes and we hypothesised that similar analysis in PEA could predict transformation to ROSC. We analysed 120 and 83 PEA segments prior to transitions to ROSC and ASY, respectively, to investigate the ability often electrocardiograph (ECG) features to predict transitions to ROSC or ASY using neural networks. The feature combination that yielded the best discrimination had a meanplusmnSD area under the receiver operating characteristics curve of 0.88plusmn0.02. The results suggest that the ECG contains information regarding the dynamics of PEA which can be used to study effects of therapies in cardiac arrest patients.

  • A new approach for noninvasive baroreflex sensitivity assessment: preliminary results

    Presents a new method for noninvasive assessment of baroreceptor sensitivity (BRS). Using this new method, BRS is estimated by linear regression analysis of the instantaneous values of BRS reordered into a logical, ascending sequence. The performance of the new method was compared with measurements of BRS by the traditional bolus phenylephrine method and other well-known non- invasive BRS assessment techniques, such as the "spontaneous sequences" and the "correlated modulus" methods, in 19 subjects. The BRS of the entire population was 8.31/spl plusmn/3.90 ms/mmHg for the phenylephrine method, 8.39/spl plusmn/4.21 ms/mmHg for the new method, and 12.6/spl plusmn/6.72 ms/mmHg for the spontaneous sequences method. However, estimation of BRS using the modulus method was only valid for five subjects (weighted coherence >0.5) with a BRS of 10.41/spl plusmn/4.18 ms/mmHg. The estimates of BRS derived from the four methods were significantly correlated for these five subjects. This result suggests that, with further refinements, the new method may be used for reliable non-invasive estimation of BRS.

  • Heart attack risk detection using Bagging classifier

    Cardiovascular diseases in the world are the most common cause of death. Our study aims to predict the rate of heart attack risk for individuals using the Bagging Method, an ensemble Machine Learning classification algorithm. For this reason, a questionnaire has been prepared to collect the relevant data. After obtaining the official permissions, the questionnaires are applied to the patients who have had a heart attack. By this way a predefined dataset is created to be used in the classification algorithms. In the applications, heart attack risk can be detected for an individual by using powerful ensemble classifiers. Additionally, in cross validation process the proposed model shows a high-performance in regression. Therefore, this suggested Clinical Decision Support System (CDSS) enables to take some precautions before a heart attack.

  • Open-loop adaptive filtering for suppressing chest compression oscillations in the capnogram during cardiopulmonary resuscitation

    Capnography is often used for the guidance on ventilation rate during cardiopulmonary resuscitation (CPR). However, capnogram waveform frequently presents oscillations induced by chest compressions (CC), affecting the reliability of ventilation detection. The aim of the work was to evaluate the performance of an open-loop adaptive filter in the cancellation of CC oscillations in the capnogram during CPR. For that purpose, we analyzed 60 episodes from an out-of-hospital (OOH) cardiac arrest registry maintained by TVF&R agency (USA). In 50% of the episodes the capnogram was corrupted by CC oscillations. The goodness of the filtering scheme was assessed by comparing the sensitivity (Se) and the positive predictive value (PPV) of an automated ventilation detector before and after filtering. A fixed-coefficient low-pass filter was also designed for comparison. The results showed that both filters reported a good performance although the adaptive scheme presented a slightly higher PPV (+1.2 points globally). The simpler fixed-coefficient scheme avoids the reference signal, but requires validation with larger datasets to ensure stability.

  • A novel device to detect myocardial infarction

    Myocardial infarction, commonly known as heart attack, is one of the major causes of death around the world. For many, heart attacks are unexpected and can occur at any time, especially if a person previously had a heart attack or any type of heart disease. The suddenness of a heart attack makes it difficult to detect and prevent it from occurring, resulting in death or irreversible injury to the heart. Finding a method of detecting a heart attack even five minutes before the attack occurs can be the time between life and death. My research aims to use a machine learning algorithm incorporated into a noninvasive biosensor for early detection of heart attacks. Users first enter factors such as biometrics, history of cardiac diseases, and habits. The biosensor will have a live feed of ECG data from the user. The neural network algorithm will take these initial factors as well as the ECG data to determine whether or not a user is experiencing a myocardial infarction. The neural network is trained by data from the PTB Diagnostic ECG Database from PhysioNet. This project will allow early detection of a heart attack, thus early treatment and a decreased possibility of death and long term tissue damage, and can also be used to track user heart health over a period of time.

  • An automated, Web-enabled and searchable database system for archiving electrogram and related data from implantable cardioverter defibrillators

    The advent of implantable cardioverter defibrillators (ICDs) has resulted in significant reductions in mortality in patients at high risk for sudden cardiac death. Extensive related basic research and clinical investigation continue. ICDs typically record intracardiac electrograms and inter-beat intervals along with device settings during episodes of device delivery of therapy. Researchers wishing to study these data further have until now been limited to viewing paper plots. In support of multi-center clinical studies of patients with ICDs, we have developed a web based searchable ICD data archiving system, which allows users to use a web browser to upload ICD data from diskettes to a server where the data are automatically processed and archived. Users can view and download the archived ICD data directly via the web. The entire system is built from open source software. At present more than 500 patient ICD data sets have been uploaded to and archived in the system. This project will be of value not only to those who wish to conduct research using ICD data, but also to clinicians who need to archive and review ICD data collected from their patients.



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