Academic literature on the topic 'Pulse arrival time'
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Journal articles on the topic "Pulse arrival time"
Ho, K. C. "Pulse arrival time estimation based on pulse sample ratios." IEE Proceedings - Radar, Sonar and Navigation 142, no. 4 (1995): 153. http://dx.doi.org/10.1049/ip-rsn:19951987.
Full textJindal, GhanshyamD, ChaitaliA Deshmukh, UttamR Bagal, and GajananD Nagare. "Pulse arrival time: Measurement and clinical applications." MGM Journal of Medical Sciences 9, no. 1 (2022): 103. http://dx.doi.org/10.4103/mgmj.mgmj_23_22.
Full textDeshpande, A. A., and P. M. McCulloch. "Periodic Changes in Intensity and Arrival Time of Pulses from the Vela Pulsar: Evidence for Free Precession?" International Astronomical Union Colloquium 160 (1996): 101–2. http://dx.doi.org/10.1017/s0252921100041130.
Full textStark, M. J., A. Baykal, T. Strohmayer, and J. H. Swank. "Pulse Arrival Time Glitches in GRO J1744−28." Astrophysical Journal 470, no. 2 (October 20, 1996): L109—L112. http://dx.doi.org/10.1086/310311.
Full textRodin, A. E., V. V. Oreshko, and V. A. Fedorova. "Comparison of Terrestrial and Lunar Time Scales by Giant Pulsar Impulses." Astronomy Reports 65, no. 11 (November 2021): 1136–44. http://dx.doi.org/10.1134/s1063772921110068.
Full textTarng, J. H., L. K. Wang, C. C. Yang, and S. T. McDaniel. "Arrival time and pulse width of acoustic pulses in a turbulent ocean." Journal of the Acoustical Society of America 84, no. 5 (November 1988): 1802–7. http://dx.doi.org/10.1121/1.397146.
Full textKim, Dohyun, Jong-Hoon Ahn, Jongshill Lee, Hoon Ki Park, and In Young Kim. "A Linear Transformation Approach for Estimating Pulse Arrival Time." Journal of Applied Mathematics 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/643653.
Full textLoboiko, B. I., and O. B. Borodkina. "Determination of the pulse arrival time in a local time scale." Measurement Techniques 33, no. 1 (January 1990): 47–50. http://dx.doi.org/10.1007/bf00866817.
Full textMalofeev, V. M., and O. I. Malov. "Mean, individual pulses and spectrum of Geminga radio emission." International Astronomical Union Colloquium 177 (2000): 241–42. http://dx.doi.org/10.1017/s0252921100059583.
Full textYoon, Young-Zoon, Jae Min Kang, Yongjoo Kwon, Sangyun Park, Seungwoo Noh, Younho Kim, Jongae Park, and Sung Woo Hwang. "Cuff-Less Blood Pressure Estimation Using Pulse Waveform Analysis and Pulse Arrival Time." IEEE Journal of Biomedical and Health Informatics 22, no. 4 (July 2018): 1068–74. http://dx.doi.org/10.1109/jbhi.2017.2714674.
Full textDissertations / Theses on the topic "Pulse arrival time"
Haden, Lonnie A. "A numerical procedure for computing errors in the measurement of pulse time-of-arrival and pulse-width." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9849.
Full textDoser, Adele Beatrice. "Iterative maximum-likelihood/cross correlation algorithms for echo and pulse time of arrival estimation." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/187476.
Full textContino, Sergio. "Development of Software Tools for the Test of Ultra Wide Band Receivers." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4327/.
Full textYang, Kun-Yueh, and 楊坤岳. "The Application of Pulse Arrival Time and Intermittent Calibration Method in Orthostatic Presyncope Symptoms." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/61068004927115518404.
Full text中原大學
醫學工程研究所
94
The blood pressure of spinal cord injury (SCI) patients with orthostatic syncope phenomenon was changed rapidly within short time during tilt table training and treating. In this research, the pulse arrival time (PAT) and intermittent calibration were estimated by continuous blood pressure (CBP) method of W. Chen, and observed the blood pressure changing during symptomatic. The levels of presyncope symptoms (PS) which included PS 1, 2, 3, and 4 were used to quantify the syncope levels, and evaluate. In this research, 11 subjects who were in intensive care unit of hospital were used to acquire their physiological signals of invasive blood pressure, noninvasive blood pressure (NBP) etc., and to evaluate the feasibility of CBP method. In addition, 14 normal subjects were used to compare the pulse wave signal between photoplethysmography (PLETH) and cuff measurement. Then the physiological signals were acquired during the tilt table training. The tilt angles were set at 0, 30, 45, 60 and 75 degree from 9 spinal cord injury patients with symptomatic and asymptomatic. The CBP from pulse wave signal of cuff measurement and NBP were calculated, and compared the levels of PS between CBP and NBP. In result, the correlation coefficient between CBP and invasive blood pressure was 0.83., and the CBP method between PLETH and cuff measurement was 0.88. It was significant differences between symptomatic and asymptomatic in NBP method, and among the levels of PS in CBP method. In conclusion, the estimated continuous blood pressure method could verify the discrimination of the levels of PS effectively, and provide the capability of identification of presyncope compared with NBP method. In the future, the CBP method may provide more information of blood pressure for biofeedback control of orthostatic syncope and make the criterion of reference indicator of presyncope prediction in symptomatic situation.
LI, TZU-JUNG, and 李姿蓉. "Energy Dependent Pulse Arrival Time for the Accretion-powered Millisecond Pulsar SAX J1808.4-3658 in its 2002 Outburst." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/7gsbgj.
Full text國立中央大學
天文研究所
97
In this thesis, I present the result of the phase shifts of the X-ray pulses in different energy ranges of the first known accretion-powered millisecond pulsar SAX J1808.4-3658 in its 2002 outburst observed by Rossi X-ray Timing Explorer (RXTE) Proportional Counter Array (PCA), and compare to the similar phenomenon seen in 1998 outburst. To compare the pulse arrival times of different energy ranges, the precise orbital and spin parameters which reveal the correct pulse profiles are required. These parameters were refined through minimizing the variation of the pulse peak phases, yielded by folding the non-burst, 2 – 10 keV events with a model consisting of orbital Doppler Effect plus possible pulse phase drift described as a polynomial. I found the discontinuity in parameters after day 14, hence it was hard to get the orbital and spin parameters for whole 2002 outburst. Moreover, Burderi et al. (2006) reported that there was a “phase jump” during the day 14 – 17 of the 2002 outburst. Thus, I decided to remove the data in the phase jump and divided 2002 outburst into two sections, before and after the phase jump, then obtained their parameters separately. I subsequently applied these parameters to fold the 11 energy bands of data allocated by event energy to obtain their fine pulse profiles. The phase delays relative to the softest band were derived through cross-correlating the corresponding pulse profiles. The results show a soft pulse lag in the first ~14 days’ data up to 0.08 spin phase (~200 μs) and it saturates at > 9 keV, consistent with the one in 1998 outburst. On the other hand, the similar phenomenon is also seen after the phase jump but the soft lag is up to 0.12 spin phase (~300 μs), much more than the one we found in first 14 days, and the phase lag doesn’t saturate. It is believed that the energy dependent phase pulse arrival time would be caused by the spectrum on the pulsar’s hotspot. The energy dependent pulse phase behavior before the phase jump in 2002 outburst is consistent with it in 1998 outburst, but the case after the phase jump shows a huge difference – in which it shows longer soft pulse lags and no sign of saturation. It seems that the spectrum around the hotspot after the phase jump in 2002 outburst might be softer. Based on this result, we conclude that even in the same source, it might have different behaviors due to the construction of the spectra of the hotspot environments.
Hermes, James Joseph Jr. "A search for periodic variations in pulse arrival times in DA white dwarfs." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-08-1998.
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CHENG, PAO-LING, and 鄭寶玲. "Energy Dependent Pulse Arrival Times of Accretion-Powered Millisecond Pulsar XTE J0929-314." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/wj7e6w.
Full text國立中央大學
天文研究所
97
XTE J0929-314 is the third known accretion-powered millisecond pulsar, which was first identified by Rossi X-ray Timing Explorer ( RXTE ) during its outburst. The follow-up RXTE pointing observations of the source was made between May 2 to June 24 2002. It is a faint, high Galactic latitude, transient, ultracompace X-ray binary. Our analysis is based on the data collected by RXTE Proportional Counter Array (PCA) in GoodXenon mode with 1 μs resolution because of its weak x-ray intensity. The purpose of this thesis is to investigate the energy dependent pulse arrival time of this source. Therefore, the fine pulse profiles, which require precise ephemeris to compensate the effects from orbital motion and other long-term phase drifts for the observed pulses, are essential. We applied pulse phase analysis method to find the ephemeris. Unfortunately, because of possible hot spot movements on the surface of neutron star, no simple model can well-describe the pulse phase modulation for the whole 40 days’ observations. We alternatively attempted to find the local best ephemeris and extracted pulse profiles in seven distinct energy bands between 2 and 14 keV for each observation ID (~1 to 2 hrs exposure). The energy dependent pulse arrival time differences were obtained through cross-correlating these pulse profiles. The weighted-average result for the observations shows that hard X-ray pulses arrived up to 810μs (0.15 cycles) earlier than the soft ones from 2 to 8 keV and the lead saturates beyond 8 keV. Being compared with other accretion-powered millisecond pulsars, XTE J0929-314 has the largest soft lag. According to the two-component model, the Comptonized component has a broader (fan-like) angular distribution than the blackbody component. The Doppler boosting then significantly shifts the peak of the hard pulse producing the soft lag. Therefore, this source probably has a relatively stronger blackbody component than other millisecond pulsars which indicates that XTE J0929-314 has a softer spectrum.
Gu, Fang-Ming, and 古芳鳴. "Energy Dependent Pulse Arrival Times of Accreting Millisecond X-ray Pulsar: MAXI J0911-655." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/6b9g52.
Full text國立中央大學
天文研究所
107
MAXI J0911-655 (Swift J0911.9-6452), an accreting millisecond X-ray pulsar located in globular cluster NGC 2808, was discovered in 2016 with a pulsation period of 2.94 ms. The follow-up observations were made by Swift, INTEGER, Chandra, XMM-Newton and NuSTAR. Our analysis based on the observation data of XMM-Newton and NuSTAR owing to their better time resolution and larger effective area. In this study, we attempted to detect the energy dependent pulse arrival time lags, which have been seen in other AMXPs. To obtain the correct pulse profile, precise orbital and spin parameters are essential. We first applied the orbital and spin parameters that yielded by previous study and then refined them using pulse arrival time delay technique. These photons were further divided into several energy bands and then folded with the best orbital and spin parameters to make the pulse profiles of these bands. The pulse arrival time lags relative to the softest energy band were evaluated through cross correlation of the best fitted pulse profiles. We found the soft lags could be up to 0.24 cycle (~700 μs) in the energy range of 0.3 to 78 keV by XMM-Newton and NuSTAR observations. According to the two-component model, by the influence of Doppler boosting, the different angular distribution between Comptonized (fan-like) and blackbody (pen-like) components is an important reason to cause the soft lag. In this study, we tried to discussion the hotspot and accretion shock change for different outburst time by soft lag magnitudes.
Books on the topic "Pulse arrival time"
Wright, A. G. Statistical processes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0004.
Full textBook chapters on the topic "Pulse arrival time"
Schröder, Frank G. "Pulse Arrival Time Distributions." In Springer Theses, 119–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33660-7_8.
Full textDhillon, Marshal S., and Matthew J. Banet. "Pulse Arrival Time Techniques." In The Handbook of Cuffless Blood Pressure Monitoring, 43–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24701-0_5.
Full textBresch, Erik, Jens Muehlsteff, and Lars Schmitt. "Cuff-induced changes of pulse arrival time: models and experimental results." In EMBEC & NBC 2017, 101–4. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5122-7_26.
Full textGao, Jingjing, Haiyan Fang, and Jianyu Su. "Differential X-Ray Pulsar Navigation Method Based on Pulse Arrival Time Difference." In Lecture Notes in Electrical Engineering, 552–62. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2576-4_49.
Full textLin, Qingqing, Ping Shuai, and Liangwei Huang. "A New Pulse Time-of-Arrival Estimation Method for X-Ray Pulsar Navigation." In Lecture Notes in Electrical Engineering, 525–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46632-2_46.
Full textSolà, Josep, Anna Vybornova, Fabian Braun, Martin Proença, Ricard Delgado-Gonzalo, Damien Ferrario, Christophe Verjus, Mattia Bertschi, Nicolas Pierrel, and Nicolas Schoettker. "Performance of Systolic Blood Pressure estimation from radial Pulse Arrival Time (PAT) in anesthetized patients." In EMBEC & NBC 2017, 864–67. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5122-7_216.
Full textHeydari, Fatemeh, Malikeh Pour Ebrahim, Taiyang Wu, Katie Walker, Keith Joe, Jean-Michel Redouté, and Mehmet Rasit Yuce. "Cuffless Blood Pressure Estimation Based on Pulse Arrival Time Using Bio-impedance During Different Postures and Physical Exercises." In 13th EAI International Conference on Body Area Networks, 301–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29897-5_25.
Full textCastro, Ana, Paulo de Carvalho, Jens Muehlsteff, Sandra S. Mattos, and Miguel Coimbra. "A Review on Noninvasive Beat-to-Beat Systemic and Pulmonary Blood Pressure Estimation through Surrogate Cardiovascular Signals." In Computational Tools and Techniques for Biomedical Signal Processing, 22–55. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0660-7.ch002.
Full textCastro, Ana, Paulo de Carvalho, Jens Muehlsteff, Sandra S. Mattos, and Miguel Coimbra. "A Review on Noninvasive Beat-to-Beat Systemic and Pulmonary Blood Pressure Estimation Through Surrogate Cardiovascular Signals." In Biomedical Engineering, 1038–70. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3158-6.ch045.
Full textLi, Yabin, Yunbo Li, Guojun Zhang, Yongnian Yuan, Liang Shi, and Yang Li. "Technology and Application of Transient Electromagnetic Detection of Overlapping Loop." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221003.
Full textConference papers on the topic "Pulse arrival time"
Chee, Youngjoon, Jongshill Lee, Hunki Park, and Inyoung Kim. "Baroreflex Sensitivity with Pulse Arrival Time." In 6th International Special Topic Conference on Information Technology Applications in Biomedicine, 2007. IEEE, 2007. http://dx.doi.org/10.1109/itab.2007.4407345.
Full textAhmaniemi, Teemu, Satu Rajala, Harri Lindholm, and Tapio Taipalus. "Pulse arrival time measurement with coffee provocation." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8036810.
Full textHongwei Meng, Shuxun Wang, and Xiaoying Sun. "Estimation of Signal Arrival Time Based on UWB Pulse." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712655.
Full textvan Duijvenboden, Stefan, Nick Child, Ben Hanson, Jaswinder Gill, Peter Taggart, and Michele Orini. "Pulse Arrival Time Accurately Detects Pacing-Induced Mechanical Alternans." In 2017 Computing in Cardiology Conference. Computing in Cardiology, 2017. http://dx.doi.org/10.22489/cinc.2017.278-454.
Full textVaini, Emanuele, Prospero Lombardi, and Marco Di Rienzo. "Aortic-finger pulse transit time vs. R-derived Pulse Arrival Time: A beat-to-beat assessment." In 2015 Computing in Cardiology Conference (CinC). IEEE, 2015. http://dx.doi.org/10.1109/cic.2015.7408634.
Full textChua, C. P., and C. Heneghan. "Continuous blood pressure estimation using pulse arrival time and photoplethysmogram." In IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing. IEE, 2006. http://dx.doi.org/10.1049/cp:20060391.
Full textLazaro, Jesus, Raquel Bailon, Pablo Laguna, Vaidotas Mazoras, Andrius Rapalis, and Eduardo Gil. "Difference in Pulse Arrival Time at Forehead and at Finger as a Surrogate of Pulse Transit Time." In 2016 Computing in Cardiology Conference. Computing in Cardiology, 2016. http://dx.doi.org/10.22489/cinc.2016.079-432.
Full textPolinski, Artur, Michal Pietrewicz, Tomasz Kocejko, Adam Bujnowski, Jacek Ruminski, and Jerzy Wtorek. "A Meta-Analysis of Pulse Arrival Time Based Blood Pressure Estimation." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513605.
Full textPinheiro, Eduardo, Octavian Postolache, and Pedro Girao. "Pulse arrival time and ballistocardiogram application to blood pressure variability estimation." In 2009 IEEE International Workshop on Medical Measurements and Applications (MeMeA). IEEE, 2009. http://dx.doi.org/10.1109/memea.2009.5167970.
Full textShirbani, Fatemeh, Conner Blackmore, Christina Kazzi, Isabella Tan, Mark Butlin, and Alberto P. Avolio. "Video-Based Pulse Arrival Time can track Dynamic Blood Pressure Changes." In The 4th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2018. http://dx.doi.org/10.11159/icbes18.152.
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