Artículos de revistas sobre el tema "Respiratory signal processing"
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Song, Ning, Lian Ying Ji y Yong Peng Xu. "Denoising of the Respiratory Signal of Electrical Bio-Impedance". Advanced Materials Research 718-720 (julio de 2013): 1024–28. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1024.
Texto completoLorino, H., C. Mariette, M. Karouia y A. M. Lorino. "Influence of signal processing on estimation of respiratory impedance". Journal of Applied Physiology 74, n.º 1 (1 de enero de 1993): 215–23. http://dx.doi.org/10.1152/jappl.1993.74.1.215.
Texto completoQi, Qingjie, Youxin Zhao, Liang Zhang, Zhen Yang, Lifeng Sun y Xinlei Jia. "Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD". Sensors 22, n.º 18 (6 de septiembre de 2022): 6726. http://dx.doi.org/10.3390/s22186726.
Texto completoKemper, Guillermo, Angel Oshita, Ricardo Parra y Carlos Herrera. "An algorithm for obtaining the frequency and the times of respiratory phases from nasal and oral acoustic signals". International Journal of Electrical and Computer Engineering (IJECE) 13, n.º 1 (1 de febrero de 2023): 358. http://dx.doi.org/10.11591/ijece.v13i1.pp358-373.
Texto completoSchulz, André, Thomas M. Schilling, Claus Vögele, Mauro F. Larra y Hartmut Schächinger. "Respiratory modulation of startle eye blink: a new approach to assess afferent signals from the respiratory system". Philosophical Transactions of the Royal Society B: Biological Sciences 371, n.º 1708 (19 de noviembre de 2016): 20160019. http://dx.doi.org/10.1098/rstb.2016.0019.
Texto completoZhao, Huayu. "Design and Application of Human Movement Respiratory and ECG Signal Acquisition System". Journal of Medical Imaging and Health Informatics 10, n.º 4 (1 de abril de 2020): 890–97. http://dx.doi.org/10.1166/jmihi.2020.2950.
Texto completoDE SILVA, CLARENCE W., SHAN XIAO, MAOQING LI y CHERYL N. DE SILVA. "SENSORY SIGNAL PROCESSING ISSUES IN A TELEMEDICINE SYSTEM". International Journal of Information Acquisition 09, n.º 02 (junio de 2013): 1350013. http://dx.doi.org/10.1142/s0219878913500137.
Texto completoDe Meersman, R. E., A. S. Zion, S. Teitelbaum, J. P. Weir, J. Lieberman y J. Downey. "Deriving respiration from pulse wave: a new signal-processing technique". American Journal of Physiology-Heart and Circulatory Physiology 270, n.º 5 (1 de mayo de 1996): H1672—H1675. http://dx.doi.org/10.1152/ajpheart.1996.270.5.h1672.
Texto completoMoreno, Silvia, Andres Quintero-Parra, Carlos Ochoa-Pertuz, Reynaldo Villarreal y Isaac Kuzmar. "A Signal Processing Method for Respiratory Rate Estimation through Photoplethysmography". International Journal of Signal Processing, Image Processing and Pattern Recognition 11, n.º 2 (30 de abril de 2018): 1–10. http://dx.doi.org/10.14257/ijsip.2018.11.2.01.
Texto completoMotamedi-Fakhr, Shayan, Mohamed Moshrefi-Torbati, Martyn Hill, David Simpson, Romola S. Bucks, Annette Carroll y Catherine M. Hill. "Respiratory cycle related EEG changes: Modified respiratory cycle segmentation". Biomedical Signal Processing and Control 8, n.º 6 (noviembre de 2013): 838–44. http://dx.doi.org/10.1016/j.bspc.2013.08.001.
Texto completoPark, Cheolhyeong y Deokwoo Lee. "Classification of Respiratory States Using Spectrogram with Convolutional Neural Network". Applied Sciences 12, n.º 4 (11 de febrero de 2022): 1895. http://dx.doi.org/10.3390/app12041895.
Texto completoKing, Gregory G., Jason Bates, Kenneth I. Berger, Peter Calverley, Pedro L. de Melo, Raffaele L. Dellacà, Ramon Farré et al. "Technical standards for respiratory oscillometry". European Respiratory Journal 55, n.º 2 (26 de noviembre de 2019): 1900753. http://dx.doi.org/10.1183/13993003.00753-2019.
Texto completoKahl, Lorenz y Ulrich Hofmann. "Removal of ECG Artifacts Affects Respiratory Muscle Fatigue Detection—A Simulation Study". Sensors 21, n.º 16 (23 de agosto de 2021): 5663. http://dx.doi.org/10.3390/s21165663.
Texto completoLi, Qiuping, Xing Zhang, Xin’an Wang, Tianxia Zhao, Changpei Qiu y Bing Zhou. "Detection Method and System of the Human Body Characteristic Index Based on TCM". Journal of Healthcare Engineering 2021 (25 de abril de 2021): 1–10. http://dx.doi.org/10.1155/2021/5549842.
Texto completoScarpetta, M., M. Spadavecchia, G. Andria, M. A. Ragolia y N. Giaquinto. "Accurate simultaneous measurement of heartbeat and respiratory intervals using a smartphone". Journal of Instrumentation 17, n.º 07 (1 de julio de 2022): P07020. http://dx.doi.org/10.1088/1748-0221/17/07/p07020.
Texto completoRudnitskii, A. G., M. A. Rudnytska y L. V. Tkachenko. "SINGLE-CHANNEL PROCESSING OF AUSCULTATORY SIGNALS USING METHODS OF MATHEMATICAL MORPHOLOGY". Journal of Numerical and Applied Mathematics, n.º 1 (135) (2021): 179–85. http://dx.doi.org/10.17721/2706-9699.2021.1.24.
Texto completoFallatah, Anwar, Miodrag Bolic, Miller MacPherson y Daniel J. La Russa. "Monitoring Respiratory Motion during VMAT Treatment Delivery Using Ultra-Wideband Radar". Sensors 22, n.º 6 (16 de marzo de 2022): 2287. http://dx.doi.org/10.3390/s22062287.
Texto completoKuwalek, Piotr, Bartlomiej Burlaga, Waldemar Jesko y Patryk Konieczka. "Research on methods for detecting respiratory rate from photoplethysmographic signal". Biomedical Signal Processing and Control 66 (abril de 2021): 102483. http://dx.doi.org/10.1016/j.bspc.2021.102483.
Texto completoKhomenko, J. M. y S. V. Pavlov. "Biometric signal processing at radar remote diagnostics of cardio-respiratory human activity". Optoelectronic Information-Power Technologies 37, n.º 1 (noviembre de 2019): 50–54. http://dx.doi.org/10.31649/1681-7893-2019-37-1-50-54.
Texto completoMori, Vitor, Renato L. Vitorasso, Vitor A. Takeuchi, Wothan T. Lima, Maria A. Oliveira y Henrique T. Moriya. "Signal processing to remove spurious contributions to the assessment of respiratory mechanics". Experimental Lung Research 48, n.º 1 (22 de diciembre de 2021): 1–11. http://dx.doi.org/10.1080/01902148.2021.2019355.
Texto completoNoto, Torben, Guangyu Zhou, Stephan Schuele, Jessica Templer y Christina Zelano. "Automated analysis of breathing waveforms using BreathMetrics: a respiratory signal processing toolbox". Chemical Senses 43, n.º 8 (7 de julio de 2018): 583–97. http://dx.doi.org/10.1093/chemse/bjy045.
Texto completoPorta, Alberto, Federico Aletti, Frederic Vallais y Giuseppe Baselli. "Multimodal signal processing for the analysis of cardiovascular variability". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, n.º 1887 (22 de octubre de 2008): 391–409. http://dx.doi.org/10.1098/rsta.2008.0229.
Texto completoMachado Fernández, José Raúl y Lesya Anishchenko. "Mental stress detection using bioradar respiratory signals". Biomedical Signal Processing and Control 43 (mayo de 2018): 244–49. http://dx.doi.org/10.1016/j.bspc.2018.03.006.
Texto completoAqueveque, Pablo, Macarena Díaz, Britam Gomez, Rodrigo Osorio, Francisco Pastene, Luciano Radrigan y Anibal Morales. "Embedded Electronic Sensor for Monitoring of Breathing Activity, Fitting and Filter Clogging in Reusable Industrial Respirators". Biosensors 12, n.º 11 (8 de noviembre de 2022): 991. http://dx.doi.org/10.3390/bios12110991.
Texto completoJi, Zhenjie y Menglun Zhang. "Highly sensitive and stretchable piezoelectric strain sensor enabled wearable devices for real-time monitoring of respiratory and heartbeat simultaneously". Nanotechnology and Precision Engineering 5, n.º 1 (1 de marzo de 2022): 013002. http://dx.doi.org/10.1063/10.0009365.
Texto completoAlabacy, Zina. "Applications of Wavelets for BVPs and Signal Processing". Journal of Kufa for Mathematics and Computer 7, n.º 2 (1 de noviembre de 2021): 10–15. http://dx.doi.org/10.31642/jokmc/2018/070203.
Texto completoK, Chethana, Guru Prasad AS, Nagaraj SB y Asokan S. "Cardiac and respiratory signal extraction methods from ballistocardiography signal sensed using fiber bragg grating sensor". MOJ Applied Bionics and Biomechanics 4, n.º 1 (24 de febrero de 2020): 15–19. http://dx.doi.org/10.15406/mojabb.2020.04.00125.
Texto completoOhnishi, Takashi, Yuya Takano, Hideyuki Kato, Yoshihiko Ooka y Hideaki Haneishi. "Respiratory-synchronized digital subtraction angiography based on a respiratory phase matching method". Signal, Image and Video Processing 12, n.º 3 (6 de octubre de 2017): 539–47. http://dx.doi.org/10.1007/s11760-017-1190-8.
Texto completoKsenofontov, D. G. y V. N. Kostin. "Implementation of digital methods to analyze eddy-current signals based on the E14-440 module". Diagnostics, Resource and Mechanics of materials and structures, n.º 6 (diciembre de 2021): 32–36. http://dx.doi.org/10.17804/2410-9908.2021.6.032-036.
Texto completoMa, Xiaoxiao, Shaoxing Zhang, Peikai Zou, Ruya Li y Yubo Fan. "Paper-Based Humidity Sensor for Respiratory Monitoring". Materials 15, n.º 18 (16 de septiembre de 2022): 6447. http://dx.doi.org/10.3390/ma15186447.
Texto completoWichum, Felix, Christian Wiede y Karsten Seidl. "Depth-Based Measurement of Respiratory Volumes: A Review". Sensors 22, n.º 24 (10 de diciembre de 2022): 9680. http://dx.doi.org/10.3390/s22249680.
Texto completoIonescu, C., R. De Keyser, J. Sabatier, A. Oustaloup y F. Levron. "Low frequency constant-phase behavior in the respiratory impedance". Biomedical Signal Processing and Control 6, n.º 2 (abril de 2011): 197–208. http://dx.doi.org/10.1016/j.bspc.2010.10.005.
Texto completoLong, Xi, Jérôme Foussier, Pedro Fonseca, Reinder Haakma y Ronald M. Aarts. "Analyzing respiratory effort amplitude for automated sleep stage classification". Biomedical Signal Processing and Control 14 (noviembre de 2014): 197–205. http://dx.doi.org/10.1016/j.bspc.2014.08.001.
Texto completoSaatci, Esra y Ertugrul Saatci. "State-space analysis of fractional-order respiratory system models". Biomedical Signal Processing and Control 57 (marzo de 2020): 101820. http://dx.doi.org/10.1016/j.bspc.2019.101820.
Texto completoMateu-Mateus, M., F. Guede-Fernández, N. Rodriguez-Ibáñez, M. A. García-González, J. Ramos-Castro y M. Fernández-Chimeno. "A non-contact camera-based method for respiratory rhythm extraction". Biomedical Signal Processing and Control 66 (abril de 2021): 102443. http://dx.doi.org/10.1016/j.bspc.2021.102443.
Texto completoIonescu, Clara M. y D. Copot. "Monitoring respiratory impedance by wearable sensor device: Protocol and methodology". Biomedical Signal Processing and Control 36 (julio de 2017): 57–62. http://dx.doi.org/10.1016/j.bspc.2017.03.018.
Texto completoErnst, Floris, Alexander Schlaefer, Sonja Dieterich y Achim Schweikard. "A Fast Lane Approach to LMS prediction of respiratory motion signals". Biomedical Signal Processing and Control 3, n.º 4 (octubre de 2008): 291–99. http://dx.doi.org/10.1016/j.bspc.2008.06.001.
Texto completoGe, Hao, Hui Qin, Shan Xue, Enkang Liu, Mingzhu Zhang, Zixuan Bai y Yixin Ma. "Research on denoising algorithm of thoracic impedance signal for respiratory monitoring during running exercise". Biomedical Signal Processing and Control 70 (septiembre de 2021): 102941. http://dx.doi.org/10.1016/j.bspc.2021.102941.
Texto completoZhang, Xiaorong y Quan Ding. "Respiratory rate estimation from the photoplethysmogram via joint sparse signal reconstruction and spectra fusion". Biomedical Signal Processing and Control 35 (mayo de 2017): 1–7. http://dx.doi.org/10.1016/j.bspc.2017.02.003.
Texto completoCharlton, Peter H., Timothy Bonnici, Lionel Tarassenko, David A. Clifton, Richard Beale, Peter J. Watkinson y Jordi Alastruey. "An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring". Biomedical Signal Processing and Control 65 (marzo de 2021): 102339. http://dx.doi.org/10.1016/j.bspc.2020.102339.
Texto completoAddison, Paul S., Rui Wang, Alberto A. Uribe y Sergio D. Bergese. "Increasing signal processing sophistication in the calculation of the respiratory modulation of the photoplethysmogram (DPOP)". Journal of Clinical Monitoring and Computing 29, n.º 3 (11 de septiembre de 2014): 363–72. http://dx.doi.org/10.1007/s10877-014-9613-3.
Texto completoOrphanidou, C., S. Fleming, S. A. Shah y L. Tarassenko. "Data fusion for estimating respiratory rate from a single-lead ECG". Biomedical Signal Processing and Control 8, n.º 1 (enero de 2013): 98–105. http://dx.doi.org/10.1016/j.bspc.2012.06.001.
Texto completoDocherty, Paul D., Christoph Schranz, Yeong-Shiong Chiew, Knut Möller y J. Geoffrey Chase. "Reformulation of the pressure-dependent recruitment model (PRM) of respiratory mechanics". Biomedical Signal Processing and Control 12 (julio de 2014): 47–53. http://dx.doi.org/10.1016/j.bspc.2013.12.001.
Texto completoLee, Yee Siong y Pubudu N. Pathirana. "Suppression of interference in continuous wave Doppler radar based respiratory measurements". Biomedical Signal Processing and Control 25 (marzo de 2016): 86–90. http://dx.doi.org/10.1016/j.bspc.2015.10.002.
Texto completoSello, Stefano, Soo-kyung Strambi, Gennaro De Michele y Nicolino Ambrosino. "Respiratory sound analysis in healthy and pathological subjects: A wavelet approach". Biomedical Signal Processing and Control 3, n.º 3 (julio de 2008): 181–91. http://dx.doi.org/10.1016/j.bspc.2008.02.002.
Texto completoKhoma, Volodymyr, Halyna Kenyo y Aleksandra Kawala-Sterniuk. "Advanced Computing Methods for Impedance Plethysmography Data Processing". Sensors 22, n.º 6 (8 de marzo de 2022): 2095. http://dx.doi.org/10.3390/s22062095.
Texto completoZhang, Zhen y Fang Liu. "Design of Multi-Channel Physiological Signal Monitor Based on Wireless Data Transmission". Applied Mechanics and Materials 496-500 (enero de 2014): 1207–10. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1207.
Texto completoRizal, Achmad, Risanuri Hidayat y Hanung Adi Nugroho. "Comparison of Multiscale Entropy for Lung Sound Classification". Indonesian Journal of Electrical Engineering and Computer Science 12, n.º 3 (1 de diciembre de 2018): 984. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp984-994.
Texto completoSorokin, Anatoly, Alexander Borisov, Mikhail Reushev, Victor Ivanov y Dmitriy Kharlamov. "The influence the horizontal structure of the forest on the passing the L1 range of navigation satellites signals". E3S Web of Conferences 333 (2021): 01014. http://dx.doi.org/10.1051/e3sconf/202133301014.
Texto completoFu, Tianyu, Jingshu Li, Jiaju Zhang, Danni Ai, Jingfan Fan, Hong Song, Ping Liang y Jian Yang. "Four-Dimensional Wide-Field Ultrasound Reconstruction System With Sparse Respiratory Signal Matching". IEEE Transactions on Computational Imaging 7 (2021): 234–47. http://dx.doi.org/10.1109/tci.2021.3054527.
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