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Libros sobre el tema "Physiological signal processing"

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Publicado: 8 de febrero de 2025

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1

Lessard, Charles S. Signal Processing of Random Physiological Signals. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-01610-3.

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2

Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3531-0.

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3

Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling. Boston, MA: Springer US, 2000.

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4

Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling. 2a ed. Boston, MA: Springer US, 2013.

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5

Naik, Ganesh R. Applications, challenges, and advancements in electromyography signal processing. Hershey PA: Medical Information Science Reference, 2014.

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6

Bronzino, Joseph D., Peterson Donald R y Hualou Liang. Biosignal processing: Principles and practices. Boca Raton: Taylor & Francis, 2012.

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7

Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, ed. Saengchʻe chŏngbo chʻŏri kiban weŏrŏbŭl sisŭtʻem kisul e kwanhan yŏnʼgu =: Development of wearable system using physiological signal processing. [Seoul]: Chŏngbo Tʻongsinbu, 2008.

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8

NATO Advanced Research Workshop on Molecular and Cellular Processes Underlying Desensitization and Adaptation to Signal Molecules (1986 Noordwijkerhout, Netherlands). Molecular mechanisms of desensitization to signal molecules. Berlin: Springer-Verlag, 1987.

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9

IFIP-IMIA Working Conference on Progress in Biological Function Analysis by Computer Technologies (1987 Berlin, Germany). Progress in computer-assisted function analysis: Proceedings of the IFIP-IMIA Working Conference on Progress in Biological Function Analysis by Computer Technologies, Berlin, GDR, 19-23 May, 1987. Amsterdam: North-Holland, 1988.

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10

S, Reisman Stanley y Michniak Bozena B, eds. Biomedical engineering principles. Boca Raton: Taylor & Francis, 2005.

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11

Helmut, Schwilden y Stoeckel Horst 1930-, eds. Control and automation in anaesthesia. Berlin: Springer-Verlag, 1995.

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12

Mass.) AMS Special Session on Radon Transforms and Geometric Analysis (2012 Boston. Geometric analysis and integral geometry: AMS special session in honor of Sigurdur Helgason's 85th birthday, radon transforms and geometric analysis, January 4-7, 2012, Boston, MA ; Tufts University Workshop on Geometric Analysis on Euclidean and Homogeneous Spaces, January 8-9, 2012, Medford, MA. Editado por Quinto, Eric Todd, 1951- editor of compilation, Gonzalez, Fulton, 1956- editor of compilation, Christensen, Jens Gerlach, 1975- editor of compilation y Tufts University. Workshop on Geometric Analysis on Euclidean and Homogeneous Spaces. Providence, Rhode Island: American Mathematical Society, 2013.

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13

Lessard, Charles S. Signal Processing of Random Physiological Signals. Morgan & Claypool Publishers, 2006.

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14

Lessard, Charles. Signal Processing of Random Physiological Signals. Springer International Publishing AG, 2007.

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15

Signal Processing Using Non-invasive Physiological Sensors. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-3719-1.

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16

Naseer, Noman y Hendrik Santosa. Signal Processing Using Non-invasive Physiological Sensors. Mdpi AG, 2022.

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17

Signal processing for neuroscientists: Introduction to the analysis of physiological signals. Amsterdam: Elsevier/Academic Press, 2007.

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18

Lessard, Charles. Signal Processing of Random Physiological Signals (Synthesis Lectures on Biomedical Engineering). Morgan & Claypool Publishers, 2006.

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19

Drongelen, Wim van. Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals. Academic Press, 2006.

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20

Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling. Springer, 2012.

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21

Drongelen, Wim van. Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals. Academic Press, 2006.

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22

Drongelen, Wim van. Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals. Elsevier Science & Technology Books, 2006.

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23

Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing. Springer, 2019.

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24

Signals and systems in biomedical engineering: Signal processing and physiological systems modeling. New York: Kluwer Academic/Plenum Publishers, 2000.

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25

Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling (Topics in Biomedical Engineering). Springer, 2000.

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26

(Editor), Fredericka Bell-Berti y Raphael J. Lawrence (Editor), eds. Producing Speech: Contemporary Issues: For Katherine Safford Harris (Modern Acoustics and Signal Processing). American Institute of Physics, 1995.

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27

Orphanidou, Christina. Signal Quality Assessment in Physiological Monitoring: State of the Art and Practical Considerations. Springer, 2017.

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28

The study of handwriting movement: Peripheral models and signal processing techniques. Berwyn: Swets North America, 1987.

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29

Electromagnetic Radiation and the Human Body (Electrical Engineering & Application Signal Processing). CRC, 2002.

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30

Detection Theory: A User's Guide. 2a ed. Lawrence Erlbaum, 2004.

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31

R, Peterson Donald, Joseph D. Bronzino y Hualou Liang. Biosignal Processing. Taylor & Francis Group, 2012.

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32

Boric-Lubecke, Olga, Byung-Kwon Park, Victor M. Lubecke, Amy D. Droitcour y Aditya Singh. Doppler Radar Physiological Sensing. Wiley & Sons, Incorporated, John, 2015.

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33

Doppler Radar Physiological Sensing. John Wiley & Sons, 2013.

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34

Boric-Lubecke, Olga, Byung-Kwon Park, Victor M. Lubecke, Amy D. Droitcour y Aditya Singh. Doppler Radar Physiological Sensing. Wiley & Sons, Limited, John, 2016.

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35

Boric-Lubecke, Olga, Byung-Kwon Park, Victor M. Lubecke, Amy D. Droitcour y Aditya Singh. Doppler Radar Physiological Sensing. Wiley & Sons, Incorporated, John, 2015.

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36

R, Peterson Donald, Joseph D. Bronzino y Hualou Liang. Biosignal Processing: Principles and Practices. Taylor & Francis Group, 2012.

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37

R, Peterson Donald, Joseph D. Bronzino y Hualou Liang. Biosignal Processing: Principles and Practices. Taylor & Francis Group, 2012.

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38

R, Peterson Donald, Joseph D. Bronzino y Hualou Liang. Biosignal Processing: Principles and Practices. Taylor & Francis Group, 2012.

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39

R, Peterson Donald, Joseph D. Bronzino y Hualou Liang. Biosignal Processing: Principles and Practices. Taylor & Francis Group, 2012.

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40

Kaniusas, Eugenijus. Biomedical Signals and Sensors I: Linking Physiological Phenomena and Biosignals. Springer, 2014.

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41

Saengchʻe chŏngbo chʻŏri kiban weŏrŏbŭl sisŭtʻem kisul e kwanhan yŏnʼgu =: Development of wearable system using physiological signal processing. [Seoul]: Chŏngbo Tʻongsinbu, 2008.

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42

Mitchell, R. H. Physiological Signal Processing, Modelling and System Implementation in Cardiography, Speech and Hearing: A special issue of the journal Automedica. Routledge, 1994.

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43

Watanabe, Mari, Markad V. Kamath, Adrian R. M. Upton y Carlos A. Morillo. Heart Rate Variability (Hrv) Signal Analysis. Taylor & Francis Group, 2012.

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44

Biosignal processing: Principles and practices. Boca Raton: Taylor & Francis, 2012.

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45

Heart rate variability (HRV) signal analysis: Clinical applications. Boca Raton: Taylor & Francis, 2013.

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46

Rundo, Francesco, Giuseppe Luigi Banna, Concetto Spampinato y Sabrina Conoci, eds. Bio-inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical and Industrial Fields. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-916-7.

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47

Loula, Pekka. Nonlinear methods of processing physiological signals in anasthesia and vigilance. 1994.

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48

Goodkind, Madeleine S. y Amit Etkin. Functional Neurocircuitry and Neuroimaging Studies of Anxiety Disorders. Editado por Dennis S. Charney, Eric J. Nestler, Pamela Sklar y Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0034.

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Anxiety and fear serve adaptive functions and include wide-ranging subjective, physiological, behavioral, and cognitive responses. When these reactions are present chronically, and to a heightened degree that generalizes to signals beyond those that are objectively dangerous, one sees emergence of clinical anxiety disorders. Historically, anxiety disorders have been conceptualized as disruptions in fear processing, though more recent accounts also highlight changes in emotional reactivity beyond fear and deficits in emotion regulation. In this chapter, we review the neural circuitry relevant for fear processing and for emotional reactivity and regulation more broadly. We then review neuroimaging studies of social anxiety disorder, specific phobia, generalized anxiety disorder, panic disorder, and posttraumatic stress disorder. We highlight areas of overlap between disorders as well as disorder-specific perturbations.
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49

Pfurtscheller, Gert, Clemens Brunner y Christa Neuper. EEG-Based Brain–Computer Interfaces. Editado por Donald L. Schomer y Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0047.

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A brain–computer interface (BCI) offers an alternative to natural communication and control by recording brain activity, processing it online, and producing control signals that reflect the user’s intent or the current user state. Therefore, a BCI provides a non-muscular communication channel that can be used to convey messages and commands without any muscle activity. This chapter presents information on the use of different electroencephalographic (EEG) features such as steady-state visual evoked potentials, P300 components, event-related desynchronization, or a combination of different EEG features and other physiological signals for EEG-based BCIs. This chapter also reviews motor imagery as a control strategy, discusses various training paradigms, and highlights the importance of feedback. It also discusses important clinical applications such as spelling systems, neuroprostheses, and rehabilitation after stroke. The chapter concludes with a discussion on different perspectives for the future of BCIs.
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50

Schaible, Hans-Georg y Rainer H. Straub. Pain neurophysiology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0059.

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Physiological pain is evoked by intense (noxious) stimuli acting on healthy tissue functioning as a warning signal to avoid damage of the tissue. In contrast, pathophysiological pain is present in the course of disease, and it is often elicited by low-intensity stimulation or occurs even as resting pain. Causes of pathophysiological pain are either inflammation or injury causing pathophysiological nociceptive pain or damage to nerve cells evoking neuropathic pain. The major peripheral neuronal mechanism of pathophysiological nociceptive pain is the sensitization of peripheral nociceptors for mechanical, thermal and chemical stimuli; the major peripheral mechanism of neuropathic pain is the generation of ectopic discharges in injured nerve fibres. These phenomena are created by changes of ion channels in the neurons, e.g. by the influence of inflammatory mediators or growth factors. Both peripheral sensitization and ectopic discharges can evoke the development of hyperexcitability of central nociceptive pathways, called central sensitization, which amplifies the nociceptive processing. Central sensitization is caused by changes of the synaptic processing, in which glial cell activation also plays an important role. Endogenous inhibitory neuronal systems may reduce pain but some types of pain are characterized by the loss of inhibitory neural function. In addition to their role in pain generation, nociceptive afferents and the spinal cord can further enhance the inflammatory process by the release of neuropeptides into the innervated tissue and by activation of sympathetic efferent fibres. However, in inflamed tissue the innervation is remodelled by repellent factors, in particular with a loss of sympathetic nerve fibres.
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