Letteratura scientifica selezionata sul tema "Cardiac health measurements"
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Articoli di riviste sul tema "Cardiac health measurements"
Geelhoed, Miranda J. J., Sonja P. E. Snijders, Veronica E. Kleyburg-Linkers, Eric A. P. Steegers, Lennie van Osch-Gevers e Vincent W. V. Jaddoe. "Reliability of echocardiographic measurements of left cardiac structures in healthy children". Cardiology in the Young 19, n. 5 (20 agosto 2009): 494–500. http://dx.doi.org/10.1017/s1047951109990862.
Testo completoAbellán-Aynés, Oriol, Pedro Manonelles e Fernando Alacid. "Cardiac Parasympathetic Withdrawal and Sympathetic Activity: Effect of Heat Exposure on Heart Rate Variability". International Journal of Environmental Research and Public Health 18, n. 11 (31 maggio 2021): 5934. http://dx.doi.org/10.3390/ijerph18115934.
Testo completoFirstenberg, Michael S., Neil L. Greenberg, Mario J. Garcia, Annitta J. Morehead, Lisa A. Cardon, Allan L. Klein e James D. Thomas. "Internet-based transfer of cardiac ultrasound images". Journal of Telemedicine and Telecare 6, n. 3 (1 giugno 2000): 168–71. http://dx.doi.org/10.1258/1357633001935275.
Testo completoWetzel, Glenn T., Fuhua Chen, William F. Friedman e Thomas S. Klitzner. "Calcium Current Measurements in Acutely Isolated Neonatal Cardiac Myocytes". Pediatric Research 30, n. 1 (luglio 1991): 83–88. http://dx.doi.org/10.1203/00006450-199107000-00017.
Testo completoWETZEL, GLENN T., FUHUA CHEN, WILLIAM F. FRIEDMAN e THOMAS S. KLITZNER. "Calcium Current Measurements in Acutely Isolated Neonatal Cardiac Myocytes". Pediatric Research 30, n. 1 (luglio 1991): 83???88. http://dx.doi.org/10.1203/00006450-199107010-00015.
Testo completoRenner, LE, e LT Meyer. "Injectate port selection affects accuracy and reproducibility of cardiac output measurements with multiport thermodilution pulmonary artery catheters". American Journal of Critical Care 3, n. 1 (1 gennaio 1994): 55–61. http://dx.doi.org/10.4037/ajcc1994.3.1.55.
Testo completoDoi, Matsuyuki, Koji Morita e Kazuyuki Ikeda. "Frequently repeated fick cardiac output measurements during anesthesia". Journal of Clinical Monitoring 6, n. 2 (aprile 1990): 107–12. http://dx.doi.org/10.1007/bf02828286.
Testo completoD’Mello, Skoric, Xu, Roche, Lortie, Gagnon e Plant. "Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography". Sensors 19, n. 16 (8 agosto 2019): 3472. http://dx.doi.org/10.3390/s19163472.
Testo completoJarolim, Petr, Purvish P. Patel, Michael J. Conrad, Lei Chang, Vojtech Melenovsky e David H. Wilson. "Fully Automated Ultrasensitive Digital Immunoassay for Cardiac Troponin I Based on Single Molecule Array Technology". Clinical Chemistry 61, n. 10 (1 ottobre 2015): 1283–91. http://dx.doi.org/10.1373/clinchem.2015.242081.
Testo completoCollins, C., S. Drew, J. Holberton e C. Calado. "Reference Echocardiographic Measurements in Very Low Birth Weight Preterm Infants". American Journal of Perinatology 36, n. 03 (6 agosto 2018): 303–10. http://dx.doi.org/10.1055/s-0038-1667070.
Testo completoTesi sul tema "Cardiac health measurements"
Cathelyn, Jim, e L. Lee Glenn. "Effect of Ambient Temperature and Cardiac Stability on Two Methods of Cardiac Output Measurement". Digital Commons @ East Tennessee State University, 1999. https://dc.etsu.edu/etsu-works/7534.
Testo completoCelik, Numan. "Wireless graphene-based electrocardiogram (ECG) sensor including multiple physiological measurement system". Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15698.
Testo completoJones, Nicole L. "Comparison of physical activity assessment methods among Phase III cardiac rehabilitation participants". Virtual Press, 2006. http://liblink.bsu.edu/uhtbin/catkey/1339152.
Testo completoSchool of Physical Education, Sport, and Exercise Science
Miller, Angela Nicole Roberts. "The CaReS Battery: Measuring Stages of Change in Cardiac Rehabilitation through the Development of a Targeted Instrument". Kent State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=kent1279478756.
Testo completoKlein, Ran. "Precise rubidium-82 infusion system for cardiac perfusion measurement using three-dimensional positron emission tomography". Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/27144.
Testo completoSandri, Gustavo Luiz. "Automated non-contact heart rate measurement using conventional video cameras". reponame:Repositório Institucional da UnB, 2016. http://dx.doi.org/10.26512/2016.02.D.21118.
Testo completoConforme o sangue flui através do corpo de um indivíduo, ele muda a forma como a luz é irradiada pela pele, pois o sangue absorve luz de forma diferente dos outros tecidos. Essa sutil variação pode ser capturada por uma câmera e ser usada para monitorar a atividade cardíaca de uma pessoa. O sinal capturado pela câmera é uma onda que representa as variações de tonalidade da pele ao longo do tempo. A frequência dessa onda é a mesma frequência na qual o coração bate. Portanto, o sinal capturado pela câmera pode ser usado para estimar a taxa cardíaca de uma pessoa. Medir o pulso cardíaco remotamente traz mais conforto pois evita o uso de eletrodos. Também permite o monitoramento de uma pessoa de forma oculta para ser empregado em um detector de mentira, por exemplo. Neste trabalho nós propomos dois algoritmos para a estimação da taxa cardíaca sem contato usando câmeras convencionais sob iluminação não controlada. O primeiro algoritmo proposto é um método simples que emprega um detector de face que identifica a face da pessoa sendo monitorada e extrai o sinal gerado pelas mudanças no tom da pele devido ao fluxo sanguíneo. Este algoritmo emprega um filtro adaptativo para aumentar a energia do sinal de interesse em relação ao ruído. Nós mostramos que este algoritmo funciona muito bem para vídeos com pouco movimento. O segundo algoritmo que propomos é uma melhora do primeiro para torná-lo mais robusto a movimentos. Nós modificamos o método usado para definir a região de interesse. Neste algoritmo é utilizado um detector de pele para eliminar pixels do plano de fundo do vídeo, os frames dos vídeos são divididos em micro-regiões que são rastreados com um algoritmo de fluxo ótico para compensar os movimentos e um algoritmo de clusterização é aplicado para selecionar automaticamente as melhores micro-regiões para efetuar a estimação da taxa cardíaca. Propomos também um esquema de filtragem temporal e espacial para reduzir o ruído introduzido pelo algoritmo de fluxo ótico. Comparamos os resultados dos nossos algoritmos com um oxímetro de dedo comercial e mostramos que eles funcionam bem para situações desafiadoras.
As the blood flows through the body of an individual, it changes the way that light is irradiated by the skin, because blood absorbs light differently than the remaining tissues. This subtle variation can be captured by a camera and be used to monitor the heart activity of a person. The signal captured by the camera is a wave that represents the changes in skin tone along time. The frequency of this wave is the same as the frequency by which the heart beats. Therefore, the signal captured by the camera could be used to estimate a person’s heart rate. This remote measurement of cardiac pulse provides more comfort as it avoids the use of electrodes or others devices attached to the body. It also allows the monitoring of a person in a canceled way to be employed in lie detectors, for example. In this work we propose two algorithms for non-contact heart rate estimation using conventional cameras under uncontrolled illumination. The first proposed algorithm is a simple approach that uses a face detector to identify the face of the person being monitored and extract the signal generated by the changes in the skin tone due to the blood flow. This algorithm employs an adaptive filter to boost the energy of the interest signal against noise. We show that this algorithm works very well for videos with little movement. The second algorithm we propose is an improvement of the first one to make it more robust to movements. We modify the approach used to define the region of interest. In this algorithm we employ a skin detector to eliminate pixels from the background, divide the frames in microregions that are tracked using an optical flow algorithm to compensate for movements and we apply a clustering algorithm to automatically select the best micro-regions to use for heart rate estimation. We also propose a temporal and spatial filtering scheme to reduce noise introduced by the optical flow algorithm. We compared the results of our algorithms to an off-the-shelf fingertip pulse oximeter and showed that they can work well under challenging situations.
Kiviniemi, A. (Antti). "Measurement of cardiac vagal outflow by beat-to-beat R-R interval dynamics". Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514281896.
Testo completoJones, Jason L. "Pedometer intervention to increase physical activity of patients entering a maintenance cardiac rehabilitation program". Muncie, IN : Ball State University, 2009. http://cardinalscholar.bsu.edu/654.
Testo completoTaniguchi, Ryoji. "Combined measurements of cardiac troponin T and N-terminal pro-brain natriuretic peptide in patients with heart failure". Kyoto University, 2006. http://hdl.handle.net/2433/143842.
Testo completoWaldenborg, Micael. "Echocardiographic measurements at Takotsubo cardiomyopathy : transient left ventricular dysfunction". Doctoral thesis, Örebro universitet, Institutionen för hälsovetenskap och medicin, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-35798.
Testo completoLibri sul tema "Cardiac health measurements"
Bustin, Debra. Hemodynamic monitoring for critical care. Norwalk, Conn: Appleton-Century-Crofts, 1986.
Cerca il testo completoInterventional physiology rounds: Case studies in coronary pressure and flow for clinical practice. New York: Wiley-Liss, 1998.
Cerca il testo completoDemetriades, Demetrios, Leslie Kobayashi e Lydia Lam. Cardiac complications in trauma. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0062.
Testo completoDemetriades, Demetrios, Leslie Kobayashi e Lydia Lam. Cardiac complications in trauma. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0062_update_001.
Testo completoLam, Lydia, Leslie Kobayashi e Demetrios Demetriades. Cardiac complications in trauma. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0062_update_002.
Testo completoLam, Lydia, Leslie Kobayashi e Demetrios Demetriades. Cardiac complications in trauma. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199687039.003.0062_update_003.
Testo completoVincent, Jean-Louis. Ethical issues in cardiac arrest and acute cardiac care: a European perspective. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0013.
Testo completoVincent, Jean-Louis. Ethical issues in cardiac arrest and acute cardiac care: a European perspective. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0013_update_001.
Testo completoA, Amini Amir, e Prince Jerry L, a cura di. Measurement of cardiac deformations from MRI: Physical and mathematical models. Dordrecht: Kluwer Academic Publishers, 2001.
Cerca il testo completoSainz, Jorge G., e Bradley P. Fuhrman. Basic Pediatric Hemodynamic Monitoring. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199918027.003.0005.
Testo completoCapitoli di libri sul tema "Cardiac health measurements"
Ravon, Gwladys, Yves Coudière, Angelo Iollo, Oliver Bernus e Richard D. Walton. "Issues in Modeling Cardiac Optical Mapping Measurements". In Functional Imaging and Modeling of the Heart, 457–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20309-6_52.
Testo completoHartikainen, Juha E. K., Kari U. O. Tahvanainen e Tom A. Kuusela. "Short-Term Measurement of Heart Rate Variability". In Clinical Guide to Cardiac Autonomic Tests, 149–76. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1057-2_6.
Testo completoHedman, Antti E., e Marek Malik. "Long-Term Measurement of Heart Rate Variability". In Clinical Guide to Cardiac Autonomic Tests, 195–238. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1057-2_8.
Testo completoPage, Sally G. "Measurements of Structural Parameters in Cardiac Muscle". In Ciba Foundation Symposium 24 - Physiological Basis of Starling's Law of the Heart, 13–30. Chichester, UK: John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470720066.ch3.
Testo completoJohnston, A. "Techniques for the blood level measurement of cardiac drugs and their application". In Drugs for Heart Disease, 365–77. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4899-3294-5_13.
Testo completoLopes, D. F., J. L. Marques e E. A. Castro. "A MCDA/GIS-Based Approach for Evaluating Accessibility to Health Facilities". In Computational Science and Its Applications – ICCSA 2021, 311–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86973-1_22.
Testo completoWong, K. K. L., R. M. Kelso, S. G. Worthley, P. Sanders, J. Mazumdar e D. Abbott. "A Novel Measurement System for Cardiac Flow Analysis Applied to Phase Contrast Magnetic Resonance Imaging of the Heart". In IFMBE Proceedings, 596–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03879-2_167.
Testo completoFukuda, H., H. Yasuda, S. Shimokawa e M. Tamura. "The Oxygen Dependence of the Energy State of Cardiac Tissue: 3 1P-NMR and Optical Measurement of Myoglobin in Perfused Rat Heart". In Oxygen Transport to Tissue XI, 567–73. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-5643-1_63.
Testo completoPatil, H. G. Sandeep, Ajit N. Babu e P. S. Ramkumar. "Non-Invasive Data Acquisition and Measurement in Bio-Medical Technology". In Advances in Healthcare Information Systems and Administration, 27–45. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9446-0.ch003.
Testo completoPatil, H. G. Sandeep, Ajit N. Babu e P. S. Ramkumar. "Non-Invasive Data Acquisition and Measurement in Bio-Medical Technology". In Medical Imaging, 253–71. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch010.
Testo completoAtti di convegni sul tema "Cardiac health measurements"
Pirozzi, M., F. Pietroni, S. Casaccia, L. Scalise e G. M. Revel. "Cardiac Activity Classification using an E-Health App for a Wearable Device". In 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2018. http://dx.doi.org/10.1109/memea.2018.8438674.
Testo completoLee, Namheon, Michael D. Taylor, Kan N. Hor e Rupak K. Banerjee. "Non-Invasive Calculation of Energy Loss in Pulmonary Arteries Using 4D Phase Contrast MRI Measurement". In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80525.
Testo completoCórdova Aquino, Jacobo, e Hugo I. Medellín-Castillo. "A Passive Hybrid Model to Estimate the Elastic Performance of Left Ventricular Cardiac Fibres". In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-12124.
Testo completovan der Horst, Arjen, Frits L. Boogaard, Marcel C. M. Rutten e Frans N. van de Vosse. "A 1D Wave Propagation Model of Coronary Flow in a Beating Heart". In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53367.
Testo completoXu, Jiangtao, Jialu Wang, Minshun Wu e Ruizhi Zhang. "An accurate switched-capacitor heart resistance measurement for cardiac pacemaker". In 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2016. http://dx.doi.org/10.1109/biocas.2016.7833838.
Testo completoLieber, Samuel C., Nadine Aubry, Jayashree Pain, Gissela Diaz, Song-Jung Kim e Stephen S. Vatner. "Measurement of the Transverse Apparent Elastic Modulus in Mammalian Cardiac Myocytes". In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41469.
Testo completoFarrar, G. E., G. T. Gullberg e A. I. Veress. "Full Cardiac Cycle Strain Measurement Using Hyperelastic Warping, Application to Detecting Myocardial Dysfunction in Rat microPET Images". In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53654.
Testo completoIshay, Roni Ben, Scharf Shimon, Maya Herman e Chaim Yosefy. "Classification of Left Heart Functional Dimensions by Clustering Cardiac Echo-Doppler Measurements". In 2006 International Conference on Information Technology: Research and Education. IEEE, 2006. http://dx.doi.org/10.1109/itre.2006.381547.
Testo completoKondruweit, M., N. Ebel, S. Kniesburges, M. Döllinger e M. Weyand. "Direct Ex Vivo Measurement of the Real Geometric Orifice Area to Assess the Hemodynamic Performance of Bioprosthetic Heart Valves". In 48th Annual Meeting German Society for Thoracic, Cardiac, and Vascular Surgery. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1678991.
Testo completoWiener, Thomas, Robert Arnold e Ernst Hofer. "On-line analysis of cardiac near field signals during electrophysiological experiments with heart preparations". In 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2012. http://dx.doi.org/10.1109/i2mtc.2012.6229563.
Testo completoRapporti di organizzazioni sul tema "Cardiac health measurements"
Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel e Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), marzo 2021. http://dx.doi.org/10.23970/ahrqepctb38.
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