Relevant bibliographies by topics / Seismocardiography

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Seismocardiography'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Seismocardiography"

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Taebi, Amirtahà, Brian Solar, Andrew Bomar, Richard Sandler, and Hansen Mansy. "Recent Advances in Seismocardiography." Vibration 2, no. 1 (January 14, 2019): 64–86. http://dx.doi.org/10.3390/vibration2010005.

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Cardiovascular disease is a major cause of death worldwide. New diagnostic tools are needed to provide early detection and intervention to reduce mortality and increase both the duration and quality of life for patients with heart disease. Seismocardiography (SCG) is a technique for noninvasive evaluation of cardiac activity. However, the complexity of SCG signals introduced challenges in SCG studies. Renewed interest in investigating the utility of SCG accelerated in recent years and benefited from new advances in low-cost lightweight sensors, and signal processing and machine learning methods. Recent studies demonstrated the potential clinical utility of SCG signals for the detection and monitoring of certain cardiovascular conditions. While some studies focused on investigating the genesis of SCG signals and their clinical applications, others focused on developing proper signal processing algorithms for noise reduction, and SCG signal feature extraction and classification. This paper reviews the recent advances in the field of SCG.
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Wick, Carson A., Omer T. Inan, James H. McClellan, and Srini Tridandapani. "Seismocardiography-Based Detection of Cardiac Quiescence." IEEE Transactions on Biomedical Engineering 62, no. 8 (August 2015): 2025–32. http://dx.doi.org/10.1109/tbme.2015.2411155.

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Wahlstrom, Johan, Isaac Skog, Peter Handel, Farzad Khosrow-khavar, Kouhyar Tavakolian, Phyllis K. Stein, and Arye Nehorai. "A Hidden Markov Model for Seismocardiography." IEEE Transactions on Biomedical Engineering 64, no. 10 (October 2017): 2361–72. http://dx.doi.org/10.1109/tbme.2017.2648741.

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Zoneraich, Samuel. "Seismocardiography is not a new term." American Journal of Cardiology 69, no. 5 (February 1992): 573. http://dx.doi.org/10.1016/0002-9149(92)91013-t.

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Paukkunen, Mikko, Matti Linnavuo, Helena Haukilehto, and Raimo Sepponen. "A System for Detection of Three-Dimensional Precordial Vibrations." International Journal of Measurement Technologies and Instrumentation Engineering 2, no. 1 (January 2012): 52–66. http://dx.doi.org/10.4018/ijmtie.2012010104.

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Accelerometer-based seismocardiography and sternal acceleration ballistocardiography are promising approaches to the noninvasive detection of precordial vibrations. However, in order to be widely accepted as diagnostic or even prognostic tools, clinical validation and standardization of these methods are necessary. In precordial vibration studies, using all three axes instead of one in cardiac vibration analysis is anticipated to enable more accurate cardiac event detection. Simultaneously acquired electrocardiography, photoplethysmography, and respiration information are considered as promising ways to enhance seismocardiogram analysis. In this article, an easy-to-use system that combines three-dimensional seismocardiography, electrocardiography, photoplethysmography, and respiration measurements is described, and its performance is demonstrated. In the test measurements, the system demonstrated its capability to capture accurate cardiovascular data.
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Salerno, David M., John M. Zanetti, Liviu C. Poliac, Richard S. Crow, Peter J. Hannan, Kyuhyun Wang, Irvin F. Goldenberg, and Robert A. Van Tassel. "Exercise Seismocardiography for Detection of Coronary Artery Disease." American Journal of Noninvasive Cardiology 6, no. 5 (1992): 321–30. http://dx.doi.org/10.1159/000470383.

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Shirkovskiy, P., A. Laurin, N. Jeger-Madiot, D. Chapelle, M. Fink, and R. K. Ing. "Airborne ultrasound surface motion camera: Application to seismocardiography." Applied Physics Letters 112, no. 21 (May 21, 2018): 213702. http://dx.doi.org/10.1063/1.5028348.

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D'Mello, Yannick, James Skoric, Shicheng Xu, Megan Akhras, Philip J. R. Roche, Michel A. Lortie, Stephane Gagnon, and David V. Plant. "Autocorrelated Differential Algorithm for Real-Time Seismocardiography Analysis." IEEE Sensors Journal 19, no. 13 (July 1, 2019): 5127–40. http://dx.doi.org/10.1109/jsen.2019.2903449.

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Inan, Omer T., Pierre-Francois Migeotte, Kwang-Suk Park, Mozziyar Etemadi, Kouhyar Tavakolian, Ramon Casanella, John Zanetti, et al. "Ballistocardiography and Seismocardiography: A Review of Recent Advances." IEEE Journal of Biomedical and Health Informatics 19, no. 4 (July 2015): 1414–27. http://dx.doi.org/10.1109/jbhi.2014.2361732.

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Sandler, Richard H., Khurshidul Azad, Badrun Rahman, Amirtaha Taebi, Peshala Gamage, Nirav Raval, Robert J. Mentz, and Hansen A. Mansy. "Minimizing Seismocardiography Variability by Accounting for Respiratory Effects." Journal of Cardiac Failure 25, no. 8 (August 2019): S185. http://dx.doi.org/10.1016/j.cardfail.2019.07.521.

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Dissertations / Theses on the topic "Seismocardiography"

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Wick, Carson A. "Detection and prediction of cardiac quiescence for computed tomography coronary angiography." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52242.

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The objective of this work is to improve the diagnostic quality and reduce the radiation dose of computed tomography coronary angiography (CTCA) imaging by developing gating techniques based on signals derived from cardiac motion, rather than the currently used electrocardiogram (ECG), to more reliably trigger data acquisition during periods of cardiac quiescence. Because the ECG is an indication of electrical activity, it is a surrogate marker of the mechanical state of the heart. Therefore, gating based on a signal derived directly from cardiac motion using either echocardiography or seismocardiography (SCG) should prove better at detecting and predicting periods of cardiac quiescence. Improved gating would permit the use of CTCA in more instances to either replace or determine the necessity of invasive and expensive CCAs. This work presents novel methods for detecting and predicting cardiac quiescence. Quiescence is detected as periods of minimal velocity from echocardiography, computed tomography (CT), and SCG. Identified quiescent periods are used to develop and evaluate techniques for predicting cardiac quiescence using echocardiography and SCG. Both echocardiography and SCG are shown to be more accurate for predicting quiescent periods than ECG. Additionally, the average motion during quiescent periods predicted by echocardiography and SCG is shown to be lower than those predicted using only ECG. Lastly, cardiac CT reconstructions from quiescent phases predicted by a commercial CT scanner were compared to the optimal quiescent phases calculated using the CT quiescence detection methods presented in this work. The diagnostic quality of the reconstructions from the optimal phases was found to be higher than that of the phases predicted by the CT scanner, suggesting that there is the potential for marked improvement in CTCA performance through more accurate cardiac gating.
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Morra, Sofia. "The Physiological Genesis of Ballistocardiography and Seismocardiography and Their Clinical Applications in the Era of Digital Medicine." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/322180/5/Index.pdf.

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The 21st century brought tremendous changes in technologies, sweeping away every aspect of daily life, from social to private life, from education to professional world, at a breakneck pace. Medical science has not been spared by this colossal wave of changes: e-health, e-patients, e-physicians and e-medical students have already made their first appearance in the routine medical practice. Surgical robots, 3D printing, Artificial-Intelligence based imaging, smartwatches, wearable sensors are already used to improve diagnosis, personalize treatments and monitor patients’ health. Ballistocardiography (BCG) and seismocardiography (SCG) are ancient techniques which estimate the mechanical performance of the heart through measuring myocardial contraction-induced vibrations transmitted to the skin surface. They made their first appearance into clinic at the beginning of the 20th century to help in the diagnosis of cardiovascular diseases, but their popularity drastically declined in the middle of the 70s and they never had their place in clinical practice: cumbersome and complex equipment, ambiguity in the signal interpretation, unclear understanding of the physiological genesis of the signal, the advent of high-performing technologies (cardiac MRI, echocardiography) are a few of the reasons for their clinical failure. Thanks to the tremendous improvements in technologies, these techniques of the past came back to the medical world as wearable biosensors, first holding the promise of a remote and continuous monitoring of the cardiovascular status. Displacement, velocity and acceleration of blood mass flowing into cardiac chambers and main extracardiac vessels are recorded for each heartbeat along three cardinal axes and in two dimensions, a linear and a rotational one, by the renewed BCG and SCG, with 6 degrees-of-freedom (6D-BCG and 6D-SCG). By applying the Newtonian principles to the recorded signals, signal processing algorithms automatically compute the kinetic energy (KE) and its temporal integral (iK) for each cardiac cycle. This work first analyzed the influence of normal and pathological respiration as well as the effects of sympathetic overactivity on the genesis of the 6D-BCG and 6D-SCG signals and the iK parameters; secondary, it tested the usefulness of 6D-BCG and 6D-SCG techniques in the detection of cardiac dysfunction and hemodynamic impairment during acute myocardial infarction and reperfusion in an animal model for acute coronary syndrome. While breathing normally mildly affects cardiac iK parameters, pathological respiration profoundly alters them. During a sustained end-expiratory apnea, as it happens in patients suffering from central sleep apnea, the iK generated within a contractile cycle acutely increases at the end of the apnea, strictly depending on the magnitude of sympathetic activity; inspiring against a resistance, as it happens in patients suffering from obstructive sleep apnea, acutely increases the cardiac iK and this surge is related to the acute external force afterloading the left ventricle. So, whether it is a central apnea or an obstructive one, myocardial mechanical function as expressed in terms of iK is profoundly impaired, suggesting the myocardium is enduring a sustain endeavor during these pathological respirations. During an experimental acute myocardial infarction, in a context of mechanical ventilation without major respiratory events, iK parameters drastically drop during coronary occlusion and does not improve during reperfusion, along with systemic blood pressures and cardiac output, thus holding the promise to continuously monitor the cardiac contractile function and the hemodynamic profile both during acute coronary occlusion and reperfusion. Renewed and wearable 6D-BCG and 6D-SCG may prove useful in the detection and continuous monitoring of cardiac dysfunction and hemodynamic impairment in patients suffering from sleep disordered breathing and may be used in the mid-long-term follow-up of patients with myocardial dysfunction of ischemic origin. There is still a lot of work to do before validating these renewed technologies in the practice of cardiovascular medicine, but evidences are there to consider them as next generation medical devices.
Doctorat en Sciences médicales (Médecine)
info:eu-repo/semantics/nonPublished
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Book chapters on the topic "Seismocardiography"

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Azad, Md Khurshidul, John D’Angelo, Peshala T. Gamage, Shehab Ismail, Richard H. Sandler, and Hansen A. Mansy. "Spatial Distribution of Seismocardiographic Signals." In Biomedical Signal Processing, 129–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67494-6_5.

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Postolache, Octavian, Pedro Girão, and Gabriela Postolache. "Seismocardiogram and Ballistocardiogram Sensing." In Advanced Instrument Engineering, 223–46. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4165-5.ch017.

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The paper describes the latest development in seismocardiography and ballistocardiography, including sensors with or without mechanical contact with the body, for cardiac functions monitoring in common daily activity. The authors discuss the information related with the seismocardiogramn (SCG) and ballistocardiogram (BCG) and the work on SCG and BCG modeling. The latest advances reported on the devices aiming at BCG and SCG cardiovascular system evaluation are covered, highlighting their key features and novel concepts. The authors also underscore the applications of ElectroMechanical film (EMFi) sensors, MEMS accelerometers and radar sensing technology for vital signs monitoring. Discussion on the current developments and future improvements are included in the paper.
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Paukkunen, Mikko, and Matti Linnavuo. "Precordial Vibrations." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 201–20. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6252-0.ch011.

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In the era of medicine, the heart and cardiovascular system has become one of the standard observation targets. Palpation and auscultation in the precordial area is performed as part of the regular physical examination to detect possible cardiovascular and pulmonary problems. However, due to the large number of people suffering from cardiovascular problems, labor-intensive methods such as auscultation might be inefficient in preventive cardiovascular condition screening. Seismocardiography (SCG) could have the potential to be a part of the solution to this problem. SCG is one of many modalities of cardiac-induced vibration measurements, and it has been shown to be of use in detecting coronary artery disease and assessing myocardial contractility. Lately, due to advances in sensor technologies, the SCG measurement is being developed by introducing three-dimensional measurements. Three-dimensional approach is considered to yield more information about the cardiovascular system than any single uniaxial approach. In conclusion, SCG seems to have the potential to offer a complementary view to cardiovascular function and a cost-effective method for screening of cardiovascular diseases. SCG is explored in this chapter.
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Conference papers on the topic "Seismocardiography"

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Castiglioni, Paolo, Andrea Faini, Gianfranco Parati, and Marco Di Rienzo. "Wearable Seismocardiography." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4353199.

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Zanetti, John M., and Kouhyar Tavakolian. "Seismocardiography: Past, present and future." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6611170.

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Jähne-Raden, Nico, Henrike Gütschleg, Marie Cathrine Wolf, Stephan Sigg, and Ulf Kulau. "Seismocardiography on Infants and Kids." In 2020 Computing in Cardiology Conference. Computing in Cardiology, 2020. http://dx.doi.org/10.22489/cinc.2020.004.

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Tavakolian, K., G. Portacio, N. R. Tamddondoust, G. Jahns, B. Ngai, G. A. Dumont, and A. P. Blaber. "Myocardial contractility: A seismocardiography approach." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346795.

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Hoang Nguyen, Jianzhong Zhang, and Young-Han Nam. "Timing detection and seismocardiography waveform extraction." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346733.

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Castiglioni, P., P. Meriggi, F. Rizzo, E. Vaini, A. Faini, G. Parati, and M. Di Rienzo. "Seismocardiography while sleeping at high altitude." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346793.

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Pankaala, Mikko, Tero Koivisto, Olli Lahdenoja, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, and Juhani Airaksinen. "Detection of atrial fibrillation with seismocardiography." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591695.

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Ha, Unsoo, Salah Assana, and Fadel Adib. "Contactless seismocardiography via deep learning radars." In MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3372224.3419982.

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Tadi, Mojtaba Jafari, Eero Lehtonen, Tero Koivisto, Mikko Pankaala, Ari Paasio, and Mika Teras. "Seismocardiography: Toward heart rate variability (HRV) estimation." In 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2015. http://dx.doi.org/10.1109/memea.2015.7145210.

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Laurin, Alexandre, Sebastien Imperiale, Philippe Moireau, Andrew Blaber, and Dominique Chapelle. "A 3D model of the thorax for seismocardiography." In 2015 Computing in Cardiology Conference (CinC). IEEE, 2015. http://dx.doi.org/10.1109/cic.2015.7408687.

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You might also be interested in the extended bibliographies on the topic 'Seismocardiography' for particular source types:
Journal articles
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