Academic literature on the topic 'Baseline correction'

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Journal articles on the topic "Baseline correction"

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Liland, Kristian Hovde, Elling-Olav Rukke, Elisabeth Fjærvoll Olsen, and Tomas Isaksson. "Customized baseline correction." Chemometrics and Intelligent Laboratory Systems 109, no. 1 (2011): 51–56. http://dx.doi.org/10.1016/j.chemolab.2011.07.005.

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Jia, Er Hui, Bin Li, and Tao Zhang. "A Novel Baseline Correction Algorithm." Applied Mechanics and Materials 220-223 (November 2012): 2248–52. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2248.

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This paper studies baseline correction algorithms for subtracting the background of real-word signal. A novel baseline correction algorithm is proposed that can be solved by random signal processing. With respect to generalized statistical features of the raw data, an appropriate threshold of standard deviation is set to extract the true baseline points unfailingly. Under the generalized meaning, the background at one signal point is substituted by the statistical features of its local window. By using this proposed algorithm, we established a time varying signal baseline independently and accurately. And performance evaluation shows that the proposed algorithm is more elaborate and tolerant of real-word data than the previous ones.
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Górski, Łukasz, Filip Ciepiela, and Małgorzata Jakubowska. "Automatic baseline correction in voltammetry." Electrochimica Acta 136 (August 2014): 195–203. http://dx.doi.org/10.1016/j.electacta.2014.05.076.

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Mckinnon, G. C., C. Burger, and P. Boesiger. "Spectral baseline correction using clean." Magnetic Resonance in Medicine 13, no. 1 (1990): 145–49. http://dx.doi.org/10.1002/mrm.1910130113.

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Chen, Yunliang, and Liankui Dai. "An Automated Baseline Correction Method Based on Iterative Morphological Operations." Applied Spectroscopy 72, no. 5 (2018): 731–39. http://dx.doi.org/10.1177/0003702817752371.

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Raman spectra usually suffer from baseline drift caused by fluorescence or other reasons. Therefore, baseline correction is a necessary and crucial step that must be performed before subsequent processing and analysis of Raman spectra. An automated baseline correction method based on iterative morphological operations is proposed in this work. The method can adaptively determine the structuring element first and then gradually remove the spectral peaks during iteration to get an estimated baseline. Experiments on simulated data and real-world Raman data show that the proposed method is accurate, fast, and flexible for handling different kinds of baselines in various practical situations. The comparison of the proposed method with some state-of-the-art baseline correction methods demonstrates its advantages over the existing methods in terms of accuracy, adaptability, and flexibility. Although only Raman spectra are investigated in this paper, the proposed method is hopefully to be used for the baseline correction of other analytical instrumental signals, such as IR spectra and chromatograms.
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Lo, Pei-Chen, and Jenq-Shiun Leu. "Adaptive Baseline Correction of Meditation EEG." American Journal of Electroneurodiagnostic Technology 41, no. 2 (2001): 142–55. http://dx.doi.org/10.1080/1086508x.2001.11079338.

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Liu, Juwhan, and Jack L. Koenig. "A New Baseline Correction Algorithm Using Objective Criteria." Applied Spectroscopy 41, no. 3 (1987): 447–49. http://dx.doi.org/10.1366/0003702874449110.

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A baseline correction algorithm using a least-squares procedure is developed. Linear or quadratic types of baselines are obtained through successive fitting and rejection of data points on a statistical basis. After the entire spectrum or a subsection is fitted to a least-squares line, the standard error of estimate is utilized as a criterion to determine if the fluctuation of each data point about the line can be thought of as the baseline fluctuation. Comments on various baseline correction procedures are also made.
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Tian, Shengze, Paolo Gardoni, Han Li, and Wancheng Yuan. "Baseline correction of ground motions with physics-based correction patterns." Geophysical Journal International 217, no. 1 (2019): 668–81. http://dx.doi.org/10.1093/gji/ggz039.

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Pan, Chao, Ruifu Zhang, Hao Luo, and Hua Shen. "Target-based algorithm for baseline correction of inconsistent vibration signals." Journal of Vibration and Control 24, no. 12 (2017): 2562–75. http://dx.doi.org/10.1177/1077546316689014.

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A target-based baseline correction algorithm that can directly assign acceleration/velocity/displacement values equal or close to preset target values is proposed in this study for correcting vibration acceleration signals with inconsistent initial velocities and displacements. Baseline shift or drift phenomena can arise for velocity and displacement values obtained by numerical integration of recorded acceleration signals using assumed initial values that are inconsistent with reality. Two indicators, the drift ratio and amplitude ratio, are also proposed to identify the degree of baseline drift and to evaluate the results of baseline correction. The traditional polynomial detrending algorithm has typically been used to remove unreasonable trends in time series, but insufficient attention has been paid to consistency between acceleration, velocity, and displacement, which is explicitly considered in the proposed algorithm. The target-based algorithm has two implementation schemes, that is, a precise scheme and a detrending scheme, which can be selected according to the degree of baseline drift. Three inconsistent vibration signals are considered to verify the validity of the proposed algorithm. The baseline shift or drift trends can be removed effectively using the proposed target-based algorithm with the drift ratio and amplitude ratio reduced to satisfactory ranges whereas the traditional method fails to correct these signals.
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Yang, Guofeng, Jiacai Dai, Xiangjun Liu, Meng Chen, and Xiaolong Wu. "Multiple Constrained Reweighted Penalized Least Squares for Spectral Baseline Correction." Applied Spectroscopy 74, no. 12 (2020): 1443–51. http://dx.doi.org/10.1177/0003702819885002.

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Baseline drift occurs in various measured spectra, and the existence of a baseline signal will influence qualitative and quantitative analyses. Therefore, it is necessary to perform baseline correction or background elimination before spectral analysis. In this paper, a multiple constrained asymmetric least squares method based on the penalized least squares principle is proposed for baseline correction. The method takes both baseline and peak characteristics into account. Based on the prior knowledge that the left and right boundaries of characteristic peaks should be symmetrical, additional constraints of penalized least squares are added, which ensure the symmetry of spectra. The experimental results of the proposed method on simulated spectra are compared with existing baseline correction methods to verify the accuracy and adaptability of the proposed method. The method is also successfully applied to the baseline correction of real spectra. The results show that it can be effective for estimating the baseline. In addition, this method can also be applied to the baseline correction of other similar spectral signals.
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Dissertations / Theses on the topic "Baseline correction"

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Raikhola, Sagar Singh. "EFFECT OF DIFFERENT BASELINE CORRECTION METHODS ON THE GROUND ACCELERATION SIGNAL." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2526.

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The main objective of this study is to compare the effect of different baseline correction methods on the ground acceleration signal and on the seismic response of structures. Three for strong ground motion processing methods, namely, Chiu, Akkar and EERL methods were selected in this study. For each method, a MATLAB code was written, and used in processing ground motions recorded at Belmont, IL and Gorkha, Nepal. The processed acceleration, velocity and displacement time histories obtained from the MATLAB Code were compared to the time histories provided on the USGS website. Next, the effect of each method on the response spectra was examined for five different damping ratios. A numerical integration scheme called the state-space method was used in computing the time-domain response. Finally, to get an understanding of how the processed accelerations will affect a real structure, a four-story steel frame was modeled using RISA 3D software. The response of the frame was computed using time-history analysis and the resulting story displacements were compared, and implications for structures with different natural periods were discussed
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Homer, Daniel C. "Population Fit Threshold: Fully Automated Signal Map generation for Baseline Correction in NMR-based Metabolomics." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1271689072.

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TANIMOTO, Masayuki, Toshiaki FUJII, Bunpei TOUJI, Tadahiko KIMOTO, and Takashi IMORI. "A Segmentation-Based Multiple-Baseline Stereo (SMBS) Scheme for Acquisition of Depth in 3-D Scenes." Institute of Electronics, Information and Communication Engineers, 1998. http://hdl.handle.net/2237/14997.

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Xu, Yunnan. "Statistical Methods for In-session Hemodialysis Monitoring." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99037.

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Motivated by real-time monitoring of dialysis, we aim at detecting difference between groups of Raman spectra generated from dialyzates at different time in one session. Baseline correction being a critical procedure in use of Raman Spectra, existing methods may not perform well on dialysis spectra due to nature of dialyzates, which contain numerous chemicals compounds. We first developed a new baseline correction method, Iterative Smoothing-spline with Root Error Adjustment (ISREA), which automatically adjusts intensities and employs smoothing-spline to produce a baseline in each iteration, providing better performance on dialysis spectra than a popular method Goldindec, and better accuracy regardless of types of samples. We proposed a two sample hypothesis testing on groups of baseline-corrected Raman spectra with ISREA. The uniqueness of the test lies in nature of the tested data. Instead of using Raman spectra as curves, we also consider a vector whose elements are peak intensities of biomarkers, meaning the data is regarded as mixed data and that a spectrum curve and a vector compose one observation. Our method tests on equality of the means of the two groups of mixed data. This method is based on asymptotic properties of the covariance of mixed data and FPCA. Simulation studies shows that our method is applicable to small sample size with proper power and size control. Meanwhile, to locate regions that contribute most to significant difference between two groups of univariate functional data, we developed a method to estimate the a sparse coefficient function by using a L1 norm penalty in functional logistic regression, and compared its performance with other methods.<br>Doctor of Philosophy<br>In U.S., there are more than 709,501 patients with End-Stage Renal Disease (ESRD). For those patients, dialysis is a standard treatment. While dialysis is time-consuming, expensive, and uncomfortable, it requires patients to take three sessions every week in facilities, and each session lasts for four hours regardless of patients' condition. An affordable, fast, and widely-applied technique called Raman spectroscopy draws attention. Spectral data from used dialysate samples collected at different time in one session can give information on the dialysis process and thus make real-time monitoring possible. With spectral data, we want to develop a statistical method that helps real-time monitoring on dialysis. This method can provide physicians with statistical evidence on dialysis process to improve their decision making, therefore increases efficiency of dialysis and better serve patients. On the other hand, Raman spectroscopy demands preprocessing called baseline correction on the raw spectra. A baseline is generated because of the nature of Raman technique and its instrumentation, which adds complexity to the spectra and interfere with analysis. Despite popularity of this technique and many existing baseline correction method, we found performance on dialysate spectra under expectation. Hence, we proposed a baseline correction method called Iterative Smoothing-spline with Root Error Adjustment (ISREA) and ISREA can provide better performance than existing methods. In addition, we come up with a method that is able to detect difference between the two groups of ISREA baseline-corrected spectra from dialysate collected at different time. Furthermore, we proposed and applied sparse functional logistic regression on two groups to locate regions where the significant difference comes from.
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Xu, Zhanfeng. "Prediction and Classification of Physical Properties by Near-Infrared Spectroscopy and Baseline Correction of Gas Chromatography Mass Spectrometry Data of Jet Fuels by Using Chemometric Algorithms." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336436389.

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Wildt, Steffen. "Mehrwegeausbreitung bei GNSS-gestützter Positionsbestimmung." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1184854117028-32899.

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GNSS-Messungen werden neben systembedingten Fehlereinflüssen vor allem von den Auswirkungen der Mehrwegeausbreitung und Signalbeugung insbesondere in der Empfangsumgebung dominiert. Verschiedene Dienste z.B. der Landesvermessungsämter haben deshalb ein primäres Interesse daran, die Auswirkungen der Effekte möglichst gering zu halten oder aber genau bestimmen zu können, um Korrekturwerte zu generieren. Mehrwege- und Beugungseffekte lassen sich besonders innerhalb von Netzstrukturen gut bestimmen. Liegen Sollkoordinaten aller Beobachtungsstationen vor gelingt dies auch in Echtzeit. In der vorliegenden Arbeit werden neben einer detaillierten Beschreibung der jeweiligen Einflussgrößen auch Möglichkeiten aufgezeigt, die genannten Effekte zu erkennen und Maßnahmen zur Reduktion der Auswirkungen auf das Meßergebnis zu ergreifen. Kern der Untersuchungen ist ein zweistufiges Modell zur Reduzierung von Mehrwegeeffekten in Echtzeit innerhalb von (Referenz-) Stationsnetzen durch Bestimmung von Korrekturwerten für originale und abgeleitete Meßwerte pro Epoche, Station und Satellit.
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De, Sanctis Silvia [Verfasser], and Hans Robert [Akademischer Betreuer] Kalbitzer. "Application of Singular Spectrum Analysis (SSA), Independent Component Analysis (ICA) and Empirical Mode Decomposition (EMD) for automated solvent suppression and automated baseline and phase correction from multi-dimensional NMR spectra / Silvia De Sanctis. Betreuer: Hans Robert Kalbitzer." Regensburg : Universitätsbibliothek Regensburg, 2011. http://d-nb.info/1030178941/34.

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Wildt, Steffen. "Mehrwegeausbreitung bei GNSS-gestützter Positionsbestimmung." Doctoral thesis, Technische Universität Dresden, 2003. https://tud.qucosa.de/id/qucosa%3A23925.

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GNSS-Messungen werden neben systembedingten Fehlereinflüssen vor allem von den Auswirkungen der Mehrwegeausbreitung und Signalbeugung insbesondere in der Empfangsumgebung dominiert. Verschiedene Dienste z.B. der Landesvermessungsämter haben deshalb ein primäres Interesse daran, die Auswirkungen der Effekte möglichst gering zu halten oder aber genau bestimmen zu können, um Korrekturwerte zu generieren. Mehrwege- und Beugungseffekte lassen sich besonders innerhalb von Netzstrukturen gut bestimmen. Liegen Sollkoordinaten aller Beobachtungsstationen vor gelingt dies auch in Echtzeit. In der vorliegenden Arbeit werden neben einer detaillierten Beschreibung der jeweiligen Einflussgrößen auch Möglichkeiten aufgezeigt, die genannten Effekte zu erkennen und Maßnahmen zur Reduktion der Auswirkungen auf das Meßergebnis zu ergreifen. Kern der Untersuchungen ist ein zweistufiges Modell zur Reduzierung von Mehrwegeeffekten in Echtzeit innerhalb von (Referenz-) Stationsnetzen durch Bestimmung von Korrekturwerten für originale und abgeleitete Meßwerte pro Epoche, Station und Satellit.
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Morillot, Olivier. "Reconnaissance de textes manuscrits par modèles de Markov cachés et réseaux de neurones récurrents : application à l'écriture latine et arabe." Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0002.

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La reconnaissance d’écriture manuscrite est une composante essentielle de l’analyse de document. Une tendance actuelle de ce domaine est de passer de la reconnaissance de mots isolés à celle d’une séquence de mots. Notre travail consiste donc à proposer un système de reconnaissance de lignes de texte sans segmentation explicite de la ligne en mots. Afin de construire un modèle performant, nous intervenons à plusieurs niveaux du système de reconnaissance. Tout d’abord, nous introduisons deux méthodes de prétraitement originales : un nettoyage des images de lignes de texte et une correction locale de la ligne de base. Ensuite, nous construisons un modèle de langage optimisé pour la reconnaissance de courriers manuscrits. Puis nous proposons deux systèmes de reconnaissance à l’état de l’art fondés sur les HMM (Hidden Markov Models) contextuels et les réseaux de neurones récurrents BLSTM (Bi-directional LongShort-Term Memory). Nous optimisons nos systèmes afin de proposer une comparaison de ces deux approches. Nos systèmes sont évalués sur l’écriture cursive latine et arabe et ont été soumis à deux compétitions internationales de reconnaissance d’écriture. Enfin, enperspective de notre travail, nous présentons une stratégie de reconnaissance pour certaines chaînes de caractères hors-vocabulaire<br>Handwriting recognition is an essential component of document analysis. One of the popular trends is to go from isolated word to word sequence recognition. Our work aims to propose a text-line recognition system without explicit word segmentation. In order to build an efficient model, we intervene at different levels of the recognition system. First of all, we introduce two new preprocessing techniques : a cleaning and a local baseline correction for text-lines. Then, a language model is built and optimized for handwritten mails. Afterwards, we propose two state-of-the-art recognition systems based on contextual HMMs (Hidden Markov Models) and recurrent neural networks BLSTM (Bi-directional Long Short-Term Memory). We optimize our systems in order to give a comparison of those two approaches. Our systems are evaluated on arabic and latin cursive handwritings and have been submitted to two international handwriting recognition competitions. At last, we introduce a strategy for some out-of-vocabulary character strings recognition, as a prospect of future work
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Du, Kung-wen, and 杜廣文. "Sensor Alignment Correction for Ultra Short Baseline Positioning." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/85640296452224496664.

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碩士<br>國立中山大學<br>海下技術研究所<br>94<br>The performance of an ultra-short baseline (USBL) positioning system is limited by noises and errors from physical environment and other sources. One of the major errors in USBL positioning is to neglect the sensor misalignment which produces static yaw, pitch, and roll offsets. In this study, a circular survey observation scheme is first proposed to study the positioning errors of a USBL system with a fixed seabed transponder. The center of the circular survey scheme is assumed to be located over the top of the transponder. Mathematical equations of the transponder positioning with yaw, pitch, and roll offsets are derived, respectively. According to characteristics of positioning errors arose from yaw, pitch, and roll offsets, an iterative procedure of first getting roll offset, next computing yaw offset, and then obtaining pitch offset for sensor misalignment correction is established. Simulation results indicate that the iterative procedure can effectively obtain all offsets with high determination accuracy and the computation can rapidly converge to desired error tolerance in a few iterations. However, the center of circular vessel survey scheme is almost impossible to be exactly located over the top of the transponder. In such a case, the horizontal positioning error resulting from pitch offset or roll offset is no more a circle function. As a result, it will fail to evaluate the angle offsets through above iterative procedure unless the deviation from real and estimate horizontal transponder position is extremely small comparing to the transponder depth. Therefore, in addition to circular survey scheme, this study proposed a straight survey scheme to study the patterns of positioning error resulting from yaw, pitch, and roll offsets. Similar to the philosophy of establishing the iterative procedure described above, the iterative procedure of first getting pitch offset, next computing roll offset, and then obtaining yaw offset for sensor misalignment correction is established. Again, simulation results show that the iterative procedure can find all offsets with high determination accuracy and has the advantage of quick converging. Besides, the iterative procedure can still obtain correct angle offsets even though there is a constant heading deviation from the direction of the straight vessel track during vessel survey.
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Books on the topic "Baseline correction"

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Wiesen, Christopher. Learn to Use the Finite Population Correction (FPC) in Stata With Data From the IRCBP Public Services Baseline Survey (2005). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526498045.

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Colorado. Division of Criminal Justice. Office of Community Corrections., ed. Community corrections risk factor analysis baseline results. Department of Public Safety, Division of Criminal Justice, Office of Community Corrections, 2003.

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Bryl, Jason. The recycling of juvenile offenders: A pre-reform baseline. Criminal Justice Policy Council, 2000.

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Geological Survey (U.S.), ed. Effect of baseline corrections on response spectra for two recordings of the 1999 Chi-Chi, Taiwan, earthquake. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Geological Survey (U.S.), ed. Effect of baseline corrections on response spectra for two recordings of the 1999 Chi-Chi, Taiwan, earthquake. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Community corrections risk factor analysis baseline results. Department of Public Safety, Division of Criminal Justice, Office of Community Corrections, 2003.

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Effect of baseline corrections on response spectra for two recordings of the 1999 Chi-Chi, Taiwan, earthquake. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Book chapters on the topic "Baseline correction"

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Molina, Valentín, Paola A. Molina, Horderlin V. Robles, Hermann Dávila, and Luis J. Martínez. "Baseline Correction in Electrocardiographic Signals Using Dynamic Temporal Sequence Alignment." In VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13117-7_135.

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Pashko, Anatolii, Iurii Krak, Oleg Stelia, and Waldemar Wojcik. "Baseline Wander Correction of the Electrocardiogram Signals for Effective Preprocessing." In Lecture Notes in Computational Intelligence and Decision Making. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82014-5_34.

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Manisha, Ch N., E. Sreenivasa Reddy, and Y. K. Sundara Krishna. "A Method of Baseline Correction for Offline Handwritten Telugu Text Lines." In Advances in Intelligent Systems and Computing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2755-7_29.

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Bhateja, Vikrant, Ashita Srivastava, Deepak Kumar Tiwari, et al. "Baseline Correction in EMG Signals Using Mathematical Morphology and Canonical Correlation Analysis." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7566-7_58.

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Verma, Rishendra, Rini Mehrotra, and Vikrant Bhateja. "An Improved Algorithm for Noise Suppression and Baseline Correction of ECG Signals." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35314-7_83.

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Zhang, David, Wangmeng Zuo, and Peng Wang. "Baseline Wander Correction in Pulse Waveforms Using Wavelet-Based Cascaded Adaptive Filter." In Computational Pulse Signal Analysis. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4044-3_4.

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Elgered, G., J. L. Davis, T. A. Herring, and I. I. Shapiro. "Methods of Correction for the “Wet” Atmosphere in Estimating Baseline Lengths from VLBI." In The Impact of VLBI on Astrophysics and Geophysics. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2949-4_178.

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Zhou, Xiaozhou, and Pierre Boulanger. "New Eye Contact Correction Using Radial Basis Function for Wide Baseline Videoconference System." In Advances in Multimedia Information Processing – PCM 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34778-8_7.

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Tiwari, Deepak Kumar, Vikrant Bhateja, Deeksha Anand, Ashita Srivastava, and Zaid Omar. "Combination of EEMD and Morphological Filtering for Baseline Wander Correction in EMG Signals." In Proceedings of 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4280-5_38.

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Yu, Pengxin, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, and Rongguo Zhang. "Correction to: RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-16446-0_76.

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Conference papers on the topic "Baseline correction"

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Zeng, Guobing, Huaping Xu, Yuan Wang, and Wei Li. "P-Band Airborne SAR Tomography Baseline Error Correction Driven by Small Baseline Subset Interferometric Network." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641795.

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Liu, Bei, Jianfa Zhou, Yongqing Peng, et al. "Research and Implementation of Spectral Baseline Correction Based on Embedded Systems." In 2024 Academic Conference of China Instrument and Control Society (ACCIS). IEEE, 2024. https://doi.org/10.1109/accis62068.2024.10948652.

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Saroufim, Joe, and Zaher M. Kassas. "LEO Ephemeris Error Modeling Enabling Long Baseline Correction for Improved PNT." In 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2025. https://doi.org/10.1109/plans61210.2025.11028190.

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Winkert, Thais, Jurandir Nadal, and Paulo Roberto Benchimol-Barbosa. "Baseline Drifting Correction for Automated MTWA Measurements." In 2023 Computing in Cardiology Conference. Computing in Cardiology, 2023. http://dx.doi.org/10.22489/cinc.2023.403.

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Bai, Yunpeng, and Haiyun Wang. "Baseline Correction Analysis of Luding Seismic Data." In 2022 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum (ICHCE). IEEE, 2022. http://dx.doi.org/10.1109/ichce57331.2022.10042667.

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Sayadi, Omid, and Mohammad Bagher Shamsollahi. "ECG baseline correction with adaptive bionic wavelet transform." In 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA). IEEE, 2007. http://dx.doi.org/10.1109/isspa.2007.4555373.

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Bazgir, Omid, Sunanda Mitra, Brian Nutter, and Eric Walden. "Fully Automatic Baseline Correction in Magnetic Resonance Spectroscopy." In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI). IEEE, 2018. http://dx.doi.org/10.1109/ssiai.2018.8470319.

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Rahul, Jagdeep, Marpe Sora, and LakhanDev Sharma. "Baseline correction of ECG using regression estimation method." In 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU). IEEE, 2019. http://dx.doi.org/10.1109/iot-siu.2019.8777622.

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Chen, Yung-Sheng, and Yu-Ching Hsu. "A Simple Baseline Correction Method for Raman Spectra." In International MultiConference of Engineers and Computer Scientists (IMECS 2019). WORLD SCIENTIFIC, 2020. http://dx.doi.org/10.1142/9789811215094_0002.

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Williams, Betsy, Shannon Cornett, Benoit Dawant, Anna Crecelius, Bobby Bodenheimer, and Richard Caprioli. "An algorithm for baseline correction of MALDI mass spectra." In the 43rd annual southeast regional conference. ACM Press, 2005. http://dx.doi.org/10.1145/1167350.1167394.

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Reports on the topic "Baseline correction"

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Salerno, Ivanna Laura, and Claudio Dachevsky. Evaluation of 80 mg/ml calcium hydroxyapatite in the treatment of nasolabial folds. Analysis of durability, safety, and efficacy at 12 months. Edited by María Fernanda Cristoforetti. Lugones Editorial, 2025. https://doi.org/10.47196/0596.

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Introduction: skin aging involves collagen fragmentation, which affects the extracellular matrix and accelerates deterioration. Photoaging, caused by ultraviolet radiation, motivates patients to seek corrective treatments. Calcium hydroxyapatite (CaHA) is a biocompatible filler that stimulates collagen production and provides safe and long-lasting results with a low complication rate. Correction of the nasolabial fold (NLF) is key to facial aesthetics, and CaHA has been shown to be effective in improving appearance and rejuvenating the face. Objectives: demonstrate the efficacy and safety of Cientific Permanent Facial Implant II® (CaHA 80 mg/ml) for the correction of mild to moderate NLF. Materials and methods: a multicenter, prospective, open-label, longitudinal clinical study included 122 patients of both sexes (35–65 years old) with mild to moderate nasolabial folds (NLF). A maximum of 1 ml of CaHA filler was applied per fold, with the possibility of reapplication after 9 months in selected cases clinical parameters of efficacy, safety, and duration of effect were assessed using validated scales at baseline and at 3, 6, 9, and 12 months. The Lemperle scale was used for the initial patient assessment, and improvements were also assessed using this scale and the Global Aesthetic Improvement Scale (GAIS) and photographs of each follow-up. Results: the study confirmed the safety and efficacy of Cientific Permanent Facial Implant II® (CaHA 80 mg/ml) for the correction of NLF, with mild adverse events such as pain, erythema, edema and ecchymosis, all transient and resolved spontaneously. At 12 months, the majority of patients maintained satisfactory results, with a high rate of improvement according to the GAIS scale. Only two patients were evaluated outside the protocol for asymmetries, and only one required correction. All participants attended the established follow-up visits, demonstrating adherence to the study and stability of the treatment. Conclusions: Cientific Permanent Facial Implant II® (CaHA 80 mg/ml) was shown to be an effective and safe treatment for the correction of mild to moderate NLF. Reapplication after 9 months optimizes the duration of the effect in certain patients.
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Visser, Wesley, Elma van de Braak, Anneke de Mik - van Egmond, et al. Correcting metabolic acidosis and the nutritional status of patients with non-dialysis dependent chronic kidney disease: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.5.0085.

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Review question / Objective: What is the effect of correcting metabolic acidosis on different nutritional status parameters in patients with CKD. Information sources: The search was conducted in MEDLINE and the Cochrane Library from inception to December 2022. Two investigators extracted the data independently. Titles and abstracts were screened based on predefined inclusion and exclusion criteria in the protocol. Similarly, full-text articles were screened using a predefined form to extract data. These included year of publication, study design and setting, population characteristics, description of intervention and control conditions, number of patients, and baseline and follow-up outcomes of interest. We requested any relevant missing information from original study authors and received the raw data from one author.
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Bailey, Corin. Crime and Violence in Barbados: IDB Series on Crime and Violence in the Caribbean. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009299.

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This report is part of the Inter-American Development Bank's Technical Note Series on Crime and Violence in the Caribbean. The overall aim is to establish a baseline of the crime-prevention arena against which progress can be assessed. The report compiles available data from multiple sourcesto provide a diagnostic of the size, characteristics, and changing nature of the problem in Barbados in recent years. In addition, the report provides a survey of the various crime-prevention and suppression policies, programs, and projects adopted by the government, private companies, and nongovernmental organisations. In performing the aforementioned tasks, the report (a) offers an assessment of the data collection, analysis, and crime response capabilities in Barbados; and (b) makes suggestions about the most effective plans for corrective action.
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Corrective action baseline report for underground storage tank 2331-U Building 9201-1. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10186106.

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Corrective action baseline report for underground storage tanks 0439-U, 0440-U, 2073-U, 2074-U, and 2075-U at the East End Fuel Station, Buildings 9754 and 9754-2, Oak Ridge Y-12 Plant, Oak Ridge, Tennessee, Facility ID No. 0-010117. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10185764.

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