Relevant bibliographies by topics / Photoplethysmography

Academic literature on the topic 'Photoplethysmography'

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Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Photoplethysmography"

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Dorsey, J. Stonewall. "PHOTOPLETHYSMOGRAPHY." Plastic and Reconstructive Surgery 76, no. 5 (November 1985): 800. http://dx.doi.org/10.1097/00006534-198511000-00038.

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Alian, Aymen A., and Kirk H. Shelley. "Photoplethysmography." Best Practice & Research Clinical Anaesthesiology 28, no. 4 (December 2014): 395–406. http://dx.doi.org/10.1016/j.bpa.2014.08.006.

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Lindberg, L. G., T. Tamura, and P. Å. Öberg. "Photoplethysmography." Medical & Biological Engineering & Computing 29, no. 1 (January 1991): 40–47. http://dx.doi.org/10.1007/bf02446294.

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Lindberg, L. G., and P. Å. Öberg. "Photoplethysmography." Medical & Biological Engineering & Computing 29, no. 1 (January 1991): 48–54. http://dx.doi.org/10.1007/bf02446295.

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Peng, Rong-Chao, Wen-Rong Yan, Ning-Ling Zhang, Wan-Hua Lin, Xiao-Lin Zhou, and Yuan-Ting Zhang. "Investigation of Five Algorithms for Selection of the Optimal Region of Interest in Smartphone Photoplethysmography." Journal of Sensors 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/6830152.

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Smartphone photoplethysmography is a newly developed technique that can detect several physiological parameters from the photoplethysmographic signal obtained by the built-in camera of a smartphone. It is simple, low-cost, and easy-to-use, with a great potential to be used in remote medicine and home healthcare service. However, the determination of the optimal region of interest (ROI), which is an important issue for extracting photoplethysmographic signals from the camera video, has not been well studied. We herein proposed five algorithms for ROI selection: variance (VAR), spectral energy ratio (SER), template matching (TM), temporal difference (TD), and gradient (GRAD). Their performances were evaluated by a 50-subject experiment comparing the heart rates measured from the electrocardiogram and those from the smartphone using the five algorithms. The results revealed that the TM and the TD algorithms outperformed the other three as they had less standard error of estimate (<1.5 bpm) and smaller limits of agreement (<3 bpm). The TD algorithm was slightly better than the TM algorithm and more suitable for smartphone applications. These results may be helpful to improve the accuracy of the physiological parameters measurement and to make the smartphone photoplethysmography technique more practical.
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KORHONEN, I., and A. YLI-HANKALA. "Photoplethysmography and nociception." Acta Anaesthesiologica Scandinavica 53, no. 8 (September 2009): 975–85. http://dx.doi.org/10.1111/j.1399-6576.2009.02026.x.

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Gailite, L., J. Spigulis, and A. Lihachev. "Multilaser photoplethysmography technique." Lasers in Medical Science 23, no. 2 (July 14, 2007): 189–93. http://dx.doi.org/10.1007/s10103-007-0471-9.

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Ju, Bin, Yun Tao Qian, and Huo Jie Ye. "Wavelet Based Measurement on Photoplethysmography by Smartphone Imaging." Applied Mechanics and Materials 380-384 (August 2013): 773–77. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.773.

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[Purpose] Smartphones video cameras can be used to detect the photoplethysmograph (PPG) signal.The pulse wave signal detected by smartphone always mixed mass noise because of finger moving, unevenness of pressure and outer light interference. Previous studies limit to the filtering algorithm that denoising signals, without considering characteristics information of pulse wave itself. [Method] In this paper, we propose an algorithm based on wavelet to detect qualified PPG, which captures three critical characteristic quantities through wavelet high frequency coefficient. [Results] Experiment illustrates that the detected PPG signal contain dicrotic wave, and whats more, further experiment on artery elasticity indexes indicates good robust of the algorithm. [Conclusions] Wavelet Based Measurement on Photoplethysmography by Smartphone Imaging can be used for the calculation of cardiovascular parameter such as angiosclerosis, arrhythmia, and vascular resistance.
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Yen, Chih-Ta, Sheng-Nan Chang, and Cheng-Hong Liao. "Deep learning algorithm evaluation of hypertension classification in less photoplethysmography signals conditions." Measurement and Control 54, no. 3-4 (March 2021): 439–45. http://dx.doi.org/10.1177/00202940211001904.

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This study used photoplethysmography signals to classify hypertensive into no hypertension, prehypertension, stage I hypertension, and stage II hypertension. There are four deep learning models are compared in the study. The difficulties in the study are how to find the optimal parameters such as kernel, kernel size, and layers in less photoplethysmographyt (PPG) training data condition. PPG signals were used to train deep residual network convolutional neural network (ResNetCNN) and bidirectional long short-term memory (BILSTM) to determine the optimal operating parameters when each dataset consisted of 2100 data points. During the experiment, the proportion of training and testing datasets was 8:2. The model demonstrated an optimal classification accuracy of 76% when the testing dataset was used.
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Hayes, Matthew J., and Peter R. Smith. "Artifact reduction in photoplethysmography." Applied Optics 37, no. 31 (November 1, 1998): 7437. http://dx.doi.org/10.1364/ao.37.007437.

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Dissertations / Theses on the topic "Photoplethysmography"

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Hayes, Matthew J. "Artefact reduction in photoplethysmography." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/7094.

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The use of optical techniques in biomedical monitoring and diagnosis is becoming increasingly widespread, primarily because of the non-invasive nature of optically derived measurements. Physiological analysis is usually achieved by characterisation of the spectral or temporal properties of the interaction between light and the anatomy. Although some optical measurements require complex instrumentation and protocols, recent technological advances have resulted in robust and compact equipment that is now used routinely in a multitude of clinical contexts. Unfortunately, these measurements are inherently sensitive to corruption from dynamic physical conditions or external sources of light, inducing signal artefact. Artefact is the primary restriction in the applicability of many optical measurements, especially for ambulatory monitoring and tele-medicine. The most widely used optical measurement is photoplethysmography, a technique that registers dynamic changes in blood volume throughout the peripheral vasculature and can be used to screen for a number of venous disorders, as well as monitoring the cardio-vascular pulse wave. Although photoplethysmographic devices are now incorporated into many patient-monitoring systems, the prevalent application is a measurement known as pulse oximetry, which utilises spectral analysis of the peripheral blood to estimate the arterial haernoglobin oxygen saturation. Pulse oximetry is well established as an early warning for hypoxia and is now mandatory under anaesthesia in many countries. The problem of artefact is prominent in these continuous monitoring techniques, where it is often impossible to control the physical conditions during use. This thesis investigates the possibility of reducing artefact corruption of photoplethysmographic signals in real time, using an electronic processing methodology that is based upon inversion of a physical artefact model. The consequences of this non-linear artefact reduction technique for subsequent signal analysis are discussed, culminating in a modified formulation for pulse oximetry that not only has reduced sensitivity to artefact but also possesses increased generality. The design and construction of a practical electronic system is then used to explore both the implementation issues and the scope of this technique. The performance of artefact reduction obtained is then quantified under realistic experimental conditions, demonstrating that this methodology is successful in removing or reducing a large proportion of artefact encountered in clinically relevant situations. It is concluded that non-linear artefact reduction can be applied to any photoplethysmographic technology, reducing interpretation inaccuracies that would otherwise be induced by signal artefact. It is also speculated that this technology could enable the use of photoplethysmographic systems in applications that are currently precluded by the inherent severity of artefact.
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Shi, Ping. "Photoplethysmography in noninvasive cardiovascular assessment." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/5399.

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The electro-optic technique of measuring the cardiovascular pulse wave known as photoplethysmography (PPG) is clinically utilised for noninvasive characterisation of physiological components by dynamic monitoring of tissue optical absorption. There has been a resurgence of interest in this technique in recent years, driven by the demand for a low cost, compact, simple and portable technology for primary care and community-based clinical settings, and the advancement of computer-based pulse wave analysis techniques. PPG signal provides a means of determining cardiovascular properties during the cardiac cycle and changes with ageing and disease. This thesis focuses on the photoplethysmographic signal for cardiovascular assessment. The contour of the PPG pulse wave is influenced by vascular ageing. Contour analysis of the PPG pulse wave provides a rapid means of assessing vascular tone and arterial stiffness. In this thesis, the parameters extracted from the PPG pulse wave are examined in young adults. The results indicate that the contour parameters of the PPG pulse wave could provide a simple and noninvasive means to study the characteristic change relating to arterial stiffness. The pulsatile component of the PPG signal is due to the pumping action of the heart, and thus could reveal the circulation changes of a specific vascular bed. Heart rate variability (HRV) represents one of the most promising quantitative markers of cardiovascular control. Calculation of HRV from the peripheral pulse wave using PPG, called pulse rate variability (PRV), is investigated. The current work has confirmed that the PPG signal could provide basic information about heart rate (HR) and its variability, and highly suggests a good alternative to understanding dynamics pertaining to the autonomic nervous system (ANS) without the use of an electrocardiogram (ECG) device. Hence, PPG measurement has the potential to be readily accepted in ambulatory cardiac monitoring due to its simplicity and comfort. Noncontact PPG (NPPG) is introduced to overcome the current limitations of contact PPG. As a contactless device, NPPG is especially attractive for physiological monitoring in ambulatory units, NICUs, or trauma centres, where attaching electrodes is either inconvenient or unfeasible. In this research, a prototype for noncontact reflection PPG (NRPPG) with a vertical cavity surface emitting laser (VCSEL) as a light source and a high-speed PiN photodiode as a photodetector is developed. The results from physiological experiments suggest that NRPPG is reliable to extract clinically useful information about cardiac condition and function. In summary, recent evidence demonstrates that PPG as a simple noninvasive measurement offers a fruitful avenue for noninvasive cardiovascular monitoring. Key words: Photoplethysmography (PPG), Cardiovascular assessment, Pulse wave contour analysis, Arterial stiffness, Heart rate (HR), Heart rate variability (HRV), Pulse rate variability (PRV), Autonomic nervous system (ANS), Electrocardiogram (ECG).
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Cheang, Peck-Yeng (Sharon). "Feasibility of non-contact photoplethysmography." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/34255.

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This thesis explores and investigates the feasibility of a non-contact photoplethysmography system operating in both transmission and reflection modes. Several issues are addressed in the implementation of the non-contact system, including the dynamic range of PPG signals, ambient artefacts and effects of direct coupling, which is light that is detected without any interaction with the measured tissue area. Plethysmography has been used in a range of biomedical applications to study blood volume changes. All current applications employ contact probes, where the transducers are positioned directly on the tissue surface. Non-contact measurements, where the transducers have no direct contact with the tissue surface, i.e. skin, are in demand for clinical benefits. Measurements by non-contact photoplethysmography can be obtained from any tissue since it is not probe limited, can be used on patients with bums as the probe does not touch the skin, and can reduce anxiety in patients, as they are not wired to any equipment.
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Zheng, Jia. "Opto-Physiological Modelling of Imaging Photoplethysmography." Thesis, Loughborough University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519660.

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Crabtree, Vincent P. "Non-invasive vascular assessment using photoplethysmography." Thesis, Loughborough University, 2003. https://dspace.lboro.ac.uk/2134/7752.

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Photoplethysmography (PPG) has become widely accepted as a valuable clinical tool for performing non-invasive biomedical monitoring. The dominant clinical application of PPG has been pulse oximetry, which uses spectral analysis of the peripheral blood supply to establish haemoglobin saturation. PPG has also found success in screening for venous dysfunction, though to a limited degree. Arterial Disease (AD) is a condition where blood flow in the arteries of the body is reduced,a condition known as ischaernia. Ischaernia can result in pain in the affected areas, such as chest pain for an ischearnic heart, but does not always produce symptoms. The most common form of AD is arteriosclerosis, which affects around 5% of the population over 50 years old. Arteriosclerosis, more commonly known as 'hardening of the arteries' is a condition that results in a gradual thickening, hardening and loss of elasticity in the walls of the arteries, reducing overall blood flow. This thesis investigates the possibility of employing PPG to perform vascular assessment, specifically arterial assessment, in two ways. PPG based perfusion monitoring may allow identification of ischaernia in the periphery. To further investigate this premise, prospective experimental trials are performed, firstly to assess the viability of PPG based perfusion monitoring and culminating in the development of a more objective method for determining ABPI using PPG based vascular assessment. A complex interaction between the heart and the connective vasculature, detected at the measuring site, generates the PPG signal. The haemodynamic properties of the vasculature will affect the shape of the PPG waveform, characterising the PPG signal with the properties of the intermediary vasculature. This thesis investigates the feasibility of deriving quantitative vascular parameters from the PPG signal. A quantitative approach allows direct identification of pathology, simplifying vascular assessment. Both forward and inverse models are developed in order to investigate this topic. Application of the models in prospective experimental trials with both normal subjects and subjects suffering PVD have shown encouraging results. It is concluded that the PPG signal contains information on the connective vasculature of the subject. PPG may be used to perform vascular assessment using either perfusion based techniques, where the magnitude of the PPG signal is of interest, or by directly assessing the connective vasculature using PPG, where the shape of the PPG signal is of interest. it is argued that PPG perfusion based techniques for performing the ABPI diagnosis protocol can offer greater sensitivity to the onset of PAD, compared to more conventional methods. It is speculated that the PPG based ABPI diagnosis protocol could provide enhanced PAD diagnosis, detecting the onset of the disease and allowing a treatmenpt lan to be formed soonert han was possible previously. The determination of quantitative vascular parameters using PPG shape could allow direct vascular diagnosis, reducing subjectivity due to interpretation. The prospective trials investigating PPG shape analysis concentrated on PVD diagnosis, but it is speculated that quantitative PPG shaped based vascular assessment could be a powerful tool in the diagnosis of many vascular based pathological conditions.
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Sun, Yu. "Imaging photoplethysmography : towards effective physiological measurements." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/9143.

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Since its conception decades ago, Photoplethysmography (PPG) the non-invasive opto-electronic technique that measures arterial pulsations in-vivo has proven its worth by achieving and maintaining its rank as a compulsory standard of patient monitoring. However successful, conventional contact monitoring mode is not suitable in certain clinical and biomedical situations, e.g., in the case of skin damage, or when unconstrained movement is required. With the advance of computer and photonics technologies, there has been a resurgence of interest in PPG and one potential route to overcome the abovementioned issues has been increasingly explored, i.e., imaging photoplethysmography (iPPG). The emerging field of iPPG offers some nascent opportunities in effective and comprehensive interpretation of the physiological phenomena, indicating a promising alternative to conventional PPG. Heart and respiration rate, perfusion mapping, and pulse rate variability have been accessed using iPPG. To effectively and remotely access physiological information through this emerging technique, a number of key issues are still to be addressed. The engineering issues of iPPG, particularly the influence of motion artefacts on signal quality, are addressed in this thesis, where an engineering model based on the revised Beer-Lambert law was developed and used to describe opto-physiological phenomena relevant to iPPG. An iPPG setup consisting of both hardware and software elements was developed to investigate its reliability and reproducibility in the context of effective remote physiological assessment. Specifically, a first study was conducted for the acquisition of vital physiological signs under various exercise conditions, i.e. resting, light and heavy cardiovascular exercise, in ten healthy subjects. The physiological parameters derived from the images captured by the iPPG system exhibited functional characteristics comparable to conventional contact PPG, i.e., maximum heart rate difference was <3 bpm and a significant (p < 0.05) correlation between both measurements were also revealed. Using a method for attenuation of motion artefacts, the heart rate and respiration rate information was successfully assessed from different anatomical locations even in high-intensity physical exercise situations. This study thereby leads to a new avenue for noncontact sensing of vital signs and remote physiological assessment, showing clear and promising applications in clinical triage and sports training. A second study was conducted to remotely assess pulse rate variability (PRV), which has been considered a valuable indicator of autonomic nervous system (ANS) status. The PRV information was obtained using the iPPG setup to appraise the ANS in ten normal subjects. The performance of the iPPG system in accessing PRV was evaluated via comparison with the readings from a contact PPG sensor. Strong correlation and good agreement between these two techniques verify the effectiveness of iPPG in the remote monitoring of PRV, thereby promoting iPPG as a potential alternative to the interpretation of physiological dynamics related to the ANS. The outcomes revealed in the thesis could present the trend of a robust non-contact technique for cardiovascular monitoring and evaluation.
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John, Gareth W. "Measurement of venous blood flow using photoplethysmography." Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/54076/.

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This simple, non-invasive test will reduce the patient numbers requiring the more time-consuming ultrasound examination, by screening out a high proportion of individuals who definitely do not have lower limb DVT. However, further signal processing methods should be investigated to improve the specificity of the test.
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MacConachie, Middleton Paul. "Physiological and clinical implications of photoplethysmography waveforms." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525237.

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Trumpp, Alexander, Johannes Lohr, Daniel Wedekind, Martin Schmidt, Matthias Burghardt, Axel R. Heller, Hagen Malberg, and Sebastian Zaunseder. "Camera-based photoplethysmography in an intraoperative setting." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234950.

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Background Camera-based photoplethysmography (cbPPG) is a measurement technique which enables remote vital sign monitoring by using cameras. To obtain valid plethysmograms, proper regions of interest (ROIs) have to be selected in the video data. Most automated selection methods rely on specific spatial or temporal features limiting a broader application. In this work, we present a new method which overcomes those drawbacks and, therefore, allows cbPPG to be applied in an intraoperative environment. Methods We recorded 41 patients during surgery using an RGB and a near-infrared (NIR) camera. A Bayesian skin classifier was employed to detect suitable regions, and a level set segmentation approach to define and track ROIs based on spatial homogeneity. Results The results show stable and homogeneously illuminated ROIs. We further evaluated their quality with regards to extracted cbPPG signals. The green channel provided the best results where heart rates could be correctly estimated in 95.6% of cases. The NIR channel yielded the highest contribution in compensating false estimations. Conclusions The proposed method proved that cbPPG is applicable in intraoperative environments. It can be easily transferred to other settings regardless of which body site is considered.
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Butler, Matthew J. "Motion artefact reduction for reflection-mode photoplethysmography." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52390/.

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Photoplethysmography (PPG) is a technique that uses light to measure the local changes in blood-volume in subjects (predominantly humans). Multiple useful statistics can be gained from such a measurement; heart-rate and it's variability, blood-oxygen saturation and even an estimation of blood pressure, to name but a few. Compared to other measurement techniques, photoplethysmography is favourable as it is both non-invasive, since nothing physical penetrates the subjects skin, and safe, as the subject is galvanically isolated from the test equipment (additional benefits also exist). Motion artefacts (errors in the measured signal caused by physical movement) are the largest source of error when photoplethysmographic measurements are made, and with the majority of applications involving some form of movement, a motion-tolerant PPG extraction technique would allow for more precise recordings/research/diagnosis etc. This thesis presents the development of an improved photoplethysmography technique that has increased resilience to motion. The developed technique uses multiple PPG measurements at different locations to reconstruct a single PPG signal. It is shown that despite the signals being taken in close proximity to each other (less than 3 cm separation between the farthest elements), the variation in the signals gives sufficient redundancy to extract the uncorrupted PPG to a much higher accuracy using Independent Component Analysis, achieving in the worst case, a 78% reduction in the calculated artefact presence (using quality calculating functions, also presented). As the vast majority of existing PPG systems use a single sensing element, it is hypothesised that such systems cannot be used to accurately and continuously detect the PPG for most motion types and severities. A working prototype of the developed system is demonstrated and directly compared to a single-channel system, showing its effectiveness.
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Books on the topic "Photoplethysmography"

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Blažek, Vladimír. Quantitative photoplethysmography: Basic facts and examination tests for evaluating peripheral vascular funktions [sic]. Düsseldorf: VDI-Verlag, 1996.

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Griffiths, M. P. Design of a photoplethysmograph for measuring skin blood flow in children with burn-injuries. Salford: University of Salford, 1992.

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Hayes, Matthew James. Artefact reduction in photoplethysmography. 1998.

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John, Allen, and Panicos A. Kyriacou. Photoplethysmography: Technology, Signal Analysis and Applications. Elsevier Science & Technology Books, 2021.

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Al-Ja'Freh, Mahd A. A reflection photoplethysmographic study on the effects of methyl nicotinate on cutaneous blood vessels. Bradford, 1986.

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Kamal, Adel Abdul Rahim. Signal analysis of blood flow in skin: Analysis of... signals acquired by photoplethysmograph and piezoclectricplethysmograph on investigation of autonomic nervous functions. This has led to the prediction of time of ovulation in healthy females. Bradford, 1987.

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Zarneh, Alexander Tahmassian. An instrument for on-line autonomic function testing: Design, construction and application of a microcomputer based data acquisition and analysis system used for study of the photoplethysmograph and heart rate variability signals of healthy and diseased people. Bradford, 1985.

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Book chapters on the topic "Photoplethysmography"

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Agache, Pierre. "Photoplethysmography." In Measuring the skin, 336–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08585-1_34.

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Pinheiro, Nuno, Ricardo Couceiro, Jens Muehlsteff, Christian Eickholt, Jorge Henriques, and Paulo Carvalho. "Syncope Prediction using Photoplethysmography." In EMBEC & NBC 2017, 627–30. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5122-7_157.

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Fronek, A., and W. P. Bundens. "Calibrated Photoplethysmography (C-PPG)." In Phlebology ’95, 265–66. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3095-6_124.

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Lempe, Georg, Sebastian Zaunseder, Tom Wirthgen, Stephan Zipser, and Hagen Malberg. "ROI Selection for Remote Photoplethysmography." In Bildverarbeitung für die Medizin 2013, 99–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36480-8_19.

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Rubins, U., V. Upmalis, O. Rubenis, D. Jakovels, and J. Spigulis. "Real-Time Photoplethysmography Imaging System." In IFMBE Proceedings, 183–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21683-1_46.

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Li, Dazhou, Hai Zhao, Sinan Li, and Huanxia Zheng. "A New Representation of Photoplethysmography Signal." In Wireless Algorithms, Systems, and Applications, 279–89. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07782-6_26.

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Sannino, Giovanna, Ivanoe De Falco, and Giuseppe De Pietro. "On Evaluating Blood Pressure Through Photoplethysmography." In Internet of Things. IoT Infrastructures, 523–29. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4_57.

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Ishibashi, H., T. Ohta, H. Kazui, R. Kato, and T. Tsuchioka. "New Leg Position for Venous Photoplethysmography." In Phlebology ’95, 267–69. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3095-6_125.

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Agache, Pierre. "Photoplethysmography in the Evaluation of Skin Conditions." In Agache's Measuring the Skin, 521–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32383-1_56.

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Zazula, Damjan, Cvetko Pirš, Karl Benkič, Denis Đonlagić, and Boris Cigale. "Short-Term Photoplethysmography Embedded in Household Appliances." In IFMBE Proceedings, 922–25. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_229.

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Conference papers on the topic "Photoplethysmography"

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Lozano Uribe, A. D. "Novel photoplethysmography system." In MEDICAL PHYSICS: Fifth Mexican Symposium. AIP, 2001. http://dx.doi.org/10.1063/1.1420484.

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Zheng, Jia, Sijung Hu, Vassilios Chouliaras, and Ron Summers. "Feasibility of Imaging Photoplethysmography." In 2008 International Conference on Biomedical Engineering And Informatics (BMEI). IEEE, 2008. http://dx.doi.org/10.1109/bmei.2008.365.

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Gaurav, G., S. Mohanasankar, and V. Jagadeesh Kumar. "Apnea sensing using photoplethysmography." In 2013 Seventh International Conference on Sensing Technology (ICST). IEEE, 2013. http://dx.doi.org/10.1109/icsenst.2013.6727660.

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Timimi, Ammar Y. K., and M. A. Mohd Ali. "Sensor factors influencing photoplethysmography." In 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS). IEEE, 2014. http://dx.doi.org/10.1109/apccas.2014.7032808.

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Spigulis, Janis, Renars Erts, Vladimirs Nikiforovs, and Edgars Kviesis-Kipge. "Wearable wireless photoplethysmography sensors." In Photonics Europe, edited by Jürgen Popp, Wolfgang Drexler, Valery V. Tuchin, and Dennis L. Matthews. SPIE, 2008. http://dx.doi.org/10.1117/12.801966.

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Asare, L., E. Kviesis-Kipge, A. Grabovskis, U. Rubins, J. Spigulis, and R. Erts. "Multi-spectral photoplethysmography biosensor." In SPIE Optics + Optoelectronics, edited by Francesco Baldini, Jiri Homola, Robert A. Lieberman, and Kyriacos Kalli. SPIE, 2011. http://dx.doi.org/10.1117/12.887176.

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Erts, R., E. Kviesis-Kipge, J. Zaharans, E. Zaharans, and J. Spigulis. "Wireless photoplethysmography finger sensor probe." In 2010 12th Biennial Baltic Electronics Conference (BEC2010). IEEE, 2010. http://dx.doi.org/10.1109/bec.2010.5630194.

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Grimaldi, Domenico, Yuriy Kurylyak, Francesco Lamonaca, and Alfonso Nastro. "Photoplethysmography detection by smartphone's videocamera." In 2011 IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2011. http://dx.doi.org/10.1109/idaacs.2011.6072801.

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Djeldjli, Djamaleddine, Frederic Bousefsaf, Choubeila Maaoui, and Fethi Bereksi-Reguig. "Imaging Photoplethysmography: Signal Waveform Analysis." In 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2019. http://dx.doi.org/10.1109/idaacs.2019.8924239.

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Ruth, Parker S., Jerry Cao, Millicent Li, Jacob E. Sunshine, Edward J. Wang, and Shwetak N. Patel. "Multi-Channel Facial Photoplethysmography Sensing." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9176700.

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Reports on the topic "Photoplethysmography"

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Swiston, Albert J., and Milan Raj. FY12 Line-Supported Bio-Medical Initiative Program: Advanced Photoplethysmography (PPG) Sensors for Operational and Casualty Care Medicine. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada580581.

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