Relevant bibliographies by topics / Health monitoring applications

Academic literature on the topic 'Health monitoring applications'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Health monitoring applications"

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de Boer, B. "Health Monitoring Applications and the Transparency of Health." Delphi - Interdisciplinary Review of Emerging Technologies 2, no. 3 (2019): 129–34. http://dx.doi.org/10.21552/delphi/2019/3/6.

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Holford, Karen M. "Acoustic Emission in Structural Health Monitoring." Key Engineering Materials 413-414 (June 2009): 15–28. http://dx.doi.org/10.4028/www.scientific.net/kem.413-414.15.

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Structural Health Monitoring (SHM) is of paramount importance in an increasing number of applications, not only to ensure safety and reliability, but also to reduce NDT costs and to ensure timely maintenance of critical components. This paper overviews the modern applications of acoustic emission (AE), which has become established as a very powerful technique for monitoring damage in a variety of structures, and the new approaches that have enabled the successful application of the technique, leading to automated crack detection. Examples are drawn from a variety of industries to provide an insight into the current role of AE in structural health monitoring.
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Ahsan, Mominul, Siew Hon Teay, Abu Sadat Muhammad Sayem, and Alhussein Albarbar. "Smart Clothing Framework for Health Monitoring Applications." Signals 3, no. 1 (March 2, 2022): 113–45. http://dx.doi.org/10.3390/signals3010009.

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Wearable technologies are making a significant impact on people’s way of living thanks to the advancements in mobile communication, internet of things (IoT), big data and artificial intelligence. Conventional wearable technologies present many challenges for the continuous monitoring of human health conditions due to their lack of flexibility and bulkiness in size. Recent development in e-textiles and the smart integration of miniature electronic devices into textiles have led to the emergence of smart clothing systems for remote health monitoring. A novel comprehensive framework of smart clothing systems for health monitoring is proposed in this paper. This framework provides design specifications, suitable sensors and textile materials for smart clothing (e.g., leggings) development. In addition, the proposed framework identifies techniques for empowering the seamless integration of sensors into textiles and suggests a development strategy for health diagnosis and prognosis through data collection, data processing and decision making. The conceptual technical specification of smart clothing is also formulated and presented. The detailed development of this framework is presented in this paper with selected examples. The key challenges in popularizing smart clothing and opportunities of future development in diverse application areas such as healthcare, sports and athletics and fashion are discussed.
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Zhao, Yifan. "Structural Health Monitoring Applications in Tall Buildings." E3S Web of Conferences 198 (2020): 02020. http://dx.doi.org/10.1051/e3sconf/202019802020.

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Since there is not much research on structural health monitoring (SHM) applications in tall buildings nowadays, this paper gives a proposal of how it can be applied on skyscrapers. Covering the whole process of SHM, this paper focuses more on the diagnostic algorithms, including Structural dynamic index method, Modal parameter identification method Neural network algorithm and Genetic algorithm and how these algorithms can be used in SHM. After introducing the basic process of SHM, an example is given to show how these principles can be applied in this over 400m building. And after all these introductions, a conclusion can be drawn that the structural health monitoring system can be applied properly in tall buildings following the way proposed in this paper.
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Ioan, URSU, GIURGIUTIU Victor, and TOADER Adrian. "Towards spacecraft applications of structural health monitoring." INCAS BULLETIN 4, no. 4 (December 10, 2012): 111–24. http://dx.doi.org/10.13111/2066-8201.2012.4.4.10.

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Sala, Giuseppe, Luca Di Landro, Alessandro Airoldi, and Paolo Bettini. "Fibre optics health monitoring for aeronautical applications." Meccanica 50, no. 10 (May 22, 2015): 2547–67. http://dx.doi.org/10.1007/s11012-015-0200-6.

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Rajamani, R. "Radar Health Monitoring for Highway Vehicle Applications." Vehicle System Dynamics 38, no. 1 (July 1, 2002): 23–54. http://dx.doi.org/10.1076/vesd.38.1.23.3518.

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Pozo, Francesc, Diego A. Tibaduiza, and Yolanda Vidal. "Sensors for Structural Health Monitoring and Condition Monitoring." Sensors 21, no. 5 (February 24, 2021): 1558. http://dx.doi.org/10.3390/s21051558.

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Structural control and health monitoring as condition monitoring are some essential areas that allow for different system parameters to be designed, supervised, controlled, and evaluated during the system’s operation in different processes, such as those used in machinery, structures, and different physical variables in mechanical, chemical, electrical, aeronautical, civil, electronics, mechatronics, and agricultural engineering applications, among others [...]
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Mobaraki, Behnam, Haiying Ma, Jose Antonio Lozano Galant, and Jose Turmo. "Structural Health Monitoring of 2D Plane Structures." Applied Sciences 11, no. 5 (February 24, 2021): 2000. http://dx.doi.org/10.3390/app11052000.

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This paper presents the application of the observability technique for the structural system identification of 2D models. Unlike previous applications of this method, unknown variables appear both in the numerator and the denominator of the stiffness matrix system, making the problem non-linear and impossible to solve. To fill this gap, new changes in variables are proposed to linearize the system of equations. In addition, to illustrate the application of the proposed procedure into the observability method, a detailed mathematical analysis is presented. Finally, to validate the applicability of the method, the mechanical properties of a state-of-the-art plate are numerically determined.
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Gyselaers, Wilfried, Dorien Lanssens, Helen Perry, and Asma Khalil. "Mobile Health Applications for Prenatal Assessment and Monitoring." Current Pharmaceutical Design 25, no. 5 (June 3, 2019): 615–23. http://dx.doi.org/10.2174/1381612825666190320140659.

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Background:A mobile health application is an exciting, fast-paced domain that is likely to improve prenatal care.Methods:In this narrative review, we summarise the use of mobile health applications in this setting with a special emphasis on both the benefits of remote monitoring devices and the potential pitfalls of their use, highlighting the need for robust regulations and guidelines before their widespread introduction into prenatal care.Results:Remote monitoring devices for four areas of prenatal care are reported: (1) cardio-tocography; (2) blood glucose levels; (3) blood pressure; and (4) prenatal ultrasound. The majority of publications are pilot projects on remote consultation, education, coaching, screening, monitoring and selective booking, mostly reporting potential medical and/or economic benefits by mobile health applications over conventional care for very specific situations, indications and locations, but not always generalizable.Conclusions:Despite the potential advantages of these devices, some caution must be taken when implementing this technology into routine daily practice. To date, the majority of published research on mobile health in the prenatal setting consists of observational studies and there is a need for high-quality randomized controlled trials to confirm the reported clinical and economic benefits as well as the safety of this technology. There is also a need for guidance and governance on the development and validation of new apps and devices and for the implementation of mobile health technology into healthcare systems in both high and low-income settings. Finally, digital communication technologies offer perspectives towards exploration and development of the very new domain of tele-pharmacology.
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Dissertations / Theses on the topic "Health monitoring applications"

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Li, Wenda. "Passive radar for health monitoring applications." Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738291.

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Hejll, Arvid. "Civil structural health monitoring : strategies, methods and applications /." Luleå : Division of Structural Engineering, Department of Civil and Mining Engineering, Luleå University of Technology, 2007. http://epubl.ltu.se/1402-1544/2007/10/.

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Ferreira, Gonzalez Javier. "Textile-enabled Bioimpedance Instrumentation for Personalised Health Monitoring Applications." Licentiate thesis, KTH, Medicinska sensorer, signaler och system (MSSS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120373.

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A growing number of factors, including the costs, technological advancements, an ageing population, and medical errors are leading industrialised countries to invest in research on alternative solutions to improving their health care systems and increasing patients’ life quality. Personal Health System (PHS) solutions envision the use of information and communication technologies that enable a paradigm shift from the traditional hospital-centred healthcare delivery model toward a preventive and person-centred approach. PHS offers the means to follow patient health using wearable, portable or implantable systems that offer ubiquitous, unobtrusive bio-data acquisition, allowing remote access to patient status and treatment monitoring. Electrical Bioimpedance (EBI) technology is a non-invasive, quick and relatively affordable technique that can be used for assessing and monitoring different health conditions, e.g., body composition assessments for nutrition. EBI technology combined with state-of-the-art advances in sensor and textile technology are fostering the implementation of wearable bioimpedance monitors that use functional garments for the implementation of personalised healthcare applications. This research studies the development of a portable EBI spectrometer that can use dry textile electrodes for the assessment of body composition for the purposes of clinical uses. The portable bioimpedance monitor has been developed using the latest advances in system-on-chip technology for bioimpedance spectroscopy instrumentation. The obtained portable spectrometer has been validated against commercial spectrometer that performs total body composition assessment using functional textrode garments. The development of a portable Bioimpedance spectrometer using functional garments and dry textile electrodes for body composition assessment has been shown to be a feasible option. The availability of such measurement systems bring closer the real implementation of personalised healthcare systems.

QC 20130405

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Hera, Adriana. "Instantaneous modal parameters and their applications to structural health monitoring." Link to electronic dissertation, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-121905-163738/.

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Dissertation (Ph.D..) -- Worcester Polytechnic Institute.
Keywords: structural health monitoring; wavelet transform; time varying vibration modes; instantaneous modal parameters. Includes bibliographical references (p.181-186).
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Pearson, Matthew. "Development of lightweight structural health monitoring systems for aerospace applications." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/47104/.

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This thesis investigates the development of structural health monitoring systems (SHM) for aerospace applications. The work focuses on each aspect of a SHM system covering novel transducer technologies and damage detection techniques to detect and locate damage in metallic and composite structures. Secondly the potential of energy harvesting and power arranagement methodologies to provide a stable power source is assessed. Finally culminating in the realisation of smart SHM structures. 1. Transducer Technology A thorough experimental study of low profile, low weight novel transducers not normally used for acoustic emission (AE) and acousto-ultrasonics (AU) damage detection was conducted. This included assessment of their performance when exposed to aircraft environments and feasibility of embedding these transducers in composites specimens in order to realise smart structures. 2. Damage Detection An extensive experimental programme into damage detection utilising AE and AU were conducted in both composites and metallic structures. These techniques were used to assess different damage mechanism within these materials. The same transducers were used for novel AE location techniques coupled with AU similarity assessment to successfully detect and locate damage in a variety of structures. 3. Energy Harvesting and Power Management Experimental investigations and numerical simulations were undertaken to assess the power generation levels of piezoelectric and thermoelectric generators for typical vibration and temperature differentials which exist in the aerospace environment. Furthermore a power management system was assessed to demonstrate the ability of the system to take the varying nature of the input power and condition it to a stable power source for a system. 4. Smart Structures The research conducted is brought together into a smart carbon fibre wing showcasing the novel embedded transducers for AE and AU damage detection and location, as well as vibration energy harvesting. A study into impact damage detection using the techniques showed the successful detection and location of damage. Also the feasibility of the embedded transducers for power generation was assessed.
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Ji, Bing. "In-situ health monitoring of IGBT power modules in EV applications." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1474.

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Power electronics are an enabling technology and play a critical role in the establishment of an environmentally-friendly and sustainable low carbon economy. The electrification of passenger vehicles is one way of achieving this goal. It is well acknowledged that Electric vehicles (EVs) have inherent advantages over the conventional internal combustion engine (ICE) vehicles owing to the absence of emissions, high efficiency, and quiet and smooth operation. Over the last 20 years, EVs have improved significantly in their system integration, dynamic performance and cost. It has attracted much attention in research communities as well as in the market. In 2011 electric vehicle sales were estimated to reach about 20,000 units worldwide, increasing to more than 500,000 units by 2015 and 1.3 million by 2020 which accounts for 1.8 per cent of the total number of passenger vehicles expected to be sold that year. In general, electric vehicles use electric motors for traction drive, power converters for energy transfer and control, and batteries, fuel cells, ultracapacitors, or flywheels for energy storage. These are the core elements of the electric power drive train and thus are desired to provide high reliability over the lifetime of the vehicle. One of the vulnerable components in an electric power drive train is the IGBT switching devices in an inverter. During the operation, IGBT power modules will experience high mechanical and thermal stresses which lead to bond wire lift-off and solder joint fatigue faults. Theses stresses can lead to malfunctions of the IGBT power modules. A short-circuit or open-circuit in any of the power modules may result in an instantaneous loss of traction power, which is dangerous for the driver and other road users. These reliability issues are very complex in their nature and demand for the development of analytical models and experimental validation. This work is set out to develop an online measurement technique for health monitoring of IGBT and freewheeling diodes inside the power modules. The technique can provide an early warning prior to a power device failure. Bond wire lift-off and solder fatigue are the two most frequently occurred faults in power electronic modules. The former increases the forward voltage drop across the terminals of the power device while the latter increase the thermal resistance of the solder layers. As a result, bond wire lift-off can be detected by a highly sensitive and fast operating in-situ monitoring circuit. Solder joint fatigue is detected by measuring the thermal impedance of the power modules. This thesis focuses on the design and optimisation of the in-situ health monitoring circuit in an attempt to reducing noise, temperature variations and measurement uncertainties. Experimental work is carried out on a set of various IGBT power modules that have been modified to account for different testing requirements. Then the lifetime of the power module can be estimated on this basis. The proposed health monitoring system can be integrated into the existing IGBT driver circuits and can also be applied to other applications such as industrial drives, aerospace and renewable energy.
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Perelli, Alessandro <1985&gt. "Sparse Signal Representation of Ultrasonic Signals for Structural Health Monitoring Applications." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6321/.

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Assessment of the integrity of structural components is of great importance for aerospace systems, land and marine transportation, civil infrastructures and other biological and mechanical applications. Guided waves (GWs) based inspections are an attractive mean for structural health monitoring. In this thesis, the study and development of techniques for GW ultrasound signal analysis and compression in the context of non-destructive testing of structures will be presented. In guided wave inspections, it is necessary to address the problem of the dispersion compensation. A signal processing approach based on frequency warping was adopted. Such operator maps the frequencies axis through a function derived by the group velocity of the test material and it is used to remove the dependence on the travelled distance from the acquired signals. Such processing strategy was fruitfully applied for impact location and damage localization tasks in composite and aluminum panels. It has been shown that, basing on this processing tool, low power embedded system for GW structural monitoring can be implemented. Finally, a new procedure based on Compressive Sensing has been developed and applied for data reduction. Such procedure has also a beneficial effect in enhancing the accuracy of structural defects localization. This algorithm uses the convolutive model of the propagation of ultrasonic guided waves which takes advantage of a sparse signal representation in the warped frequency domain. The recovery from the compressed samples is based on an alternating minimization procedure which achieves both an accurate reconstruction of the ultrasonic signal and a precise estimation of waves time of flight. Such information is used to feed hyperbolic or elliptic localization procedures, for accurate impact or damage localization.
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Afshari, Mana. "Vibration- and Impedance-based Structural Health Monitoring Applications and Thermal Effects." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27954.

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Structural Health Monitoring (SHM) is the implementation of damage detection and characterization algorithms using in vitro sensing and actuation for rapidly determining faults in structural systems before the damage leads to catastrophic failure. SHM systems provide near real time information on the state of the integrity of civil, mechanical and aerospace structures. A roadblock in implementing SHM systems in practice is the possibility of false positives introduced by environmental changes. In particular, temperature changes can cause many SHM algorithms to indicate damage when no damage exists. While several experimentally based efforts have been attempted to alleviate temperature effects on SHM algorithms, fundamental research on the effects of temperature on SHM has not been investigated. The work presented in this dissertation composes of two main parts: the first part focuses on the experimental studies of different mechanical structures of aluminum beams, lug samples and railroad switch bolts. The experimental study of the aluminum lug samples and beams is done to propose and examine methods and models for in situ interrogation and detection of damage (in the form of a fatigue crack) in these specimen and to quantify the smallest detectable crack size in aluminum structures. This is done by applying the electrical impedance-based SHM method and using piezoceramic sensors and actuators. Moreover, in order to better extract the damage features from the measured electrical impedance, the ARX non-linear feature extraction is employed. This non-linear feature extraction, compared to the linear one, results in detection of damages in the micro-level size and improves the early detection of fatigue cracks in structures. Experimental results also show that the temperature variation is an important factor in the structural health monitoring applications and its effect on the impedance-based monitoring of the initiation and growth of fatigue cracks in the lug samples is experimentally investigated. The electrical impedance-based SHM technique is also applied in monitoring the loosening of bolted joints in a full-scale railroad switch and the sensitivity of this technique to different levels of loosening of the bolts is investigated. The second part of the work presented here focuses on the analytical study and better understanding of the effect of temperature on the vibration-based SHM. This is done by analytical modeling of the vibratory response of an Euler-Bernoulli beam with two different support conditions of simply supported and clamped-clamped and with a single, non-breathing fatigue crack at different locations along the length of the beam. The effect of temperature variations on the vibratory response of the beam structure is modeled by considering the two effects of temperature-dependent material properties and thermal stress formations inside the structure. The inclusion of thermal effects from both of these points of view (i.e. material properties variations and generation of thermal stresses) as independent factors is investigated and justified by studying the formulations of Helmholtz free energy and stresses inside a body. The effect of temperature variations on the vibratory response of the cracked beam are then studied by integrating these two temperature-related effects into the analytical modeling. The effect of a growing fatigue crack as well as temperature variations and thermal loadings is then numerically studied on the deflection of the beam and the output voltage of a surface-bonded piezoceramic sensor.
Ph. D.
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Boettcher, Dennis N. "A Resistance Based Structural Health Monitoring System for Composite Structure Applications." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/843.

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This research effort explored the possibility of using interwoven conductive and nonconductive fibers in a composite laminate for structural health monitoring (SHM). Traditional SHM systems utilize fiber optics, piezoelectrics, or detect defects by nondestructive test methods by use of sonar graphs or x-rays. However, these approaches are often expensive, time consuming and complicated. The primary objective of this research was to apply a resistance based method of structural health monitoring to a composite structure to determine structural integrity and presence of defects. The conductive properties of fiber such as carbon, copper, or constantan - a copper-nickel alloy - can be utilized as sensors within the structure. This allows the structure to provide feedback via electrical signals to a user which are essential for evaluating the health of the structure. In this research, the conductive fiber was made from constantan wire which was embedded within a composite laminate; whereas prepreg fiberglass, a nonconductive material, serves as the main structural element of the laminate. A composite laminate was constructed from four layers of TenCate 7781 “E” fiberglass and BT250E-1 resin prepreg. Integrating the constantan within the composite laminate provides a sensory element which supplies measurements of structural behavior. Thus, with fiberglass, epoxy, and a constantan conductive element, a three-part composite laminate is developed. Test specimens used in this research were fabricated using a composite air press with the recommended manufacturer cure cycle. A TenCate BT250E-1 Resin System and 7781 "E" impregnated glass-fiber/epoxy weave was used. A constantan wire of 0.01” gauge diameter was integrated into the composite structure. The composite laminate specimen with the integrated SHM system was tested under tensile and flexural loads employing test standards specified by ASTM D3039 and D7264, respectively. These test methods were modified to determine the behavior of the laminate in the elastic range only. A tension and flexural delamination test case was also developed to investigate the sensitivity of the SHM system to inherent defects. Moreover, material characteristic tests were completed to validate manufacturer provided material characteristics. The specimens were tested while varying the constantan configurations, such as the sensor length and orientation. A variety of techniques to integrate the sensor were also investigated. Two different measurement methods were used to determine strain. Strain measurements were made with Instron Bluehill 2 software and correlated to strain obtained by the structural health monitoring system with the use of a data acquisition code written to interact with a micro-ohm-meter. The experimental results showed good agreement between measurements made by the two different methods of measurement. Observations discovered that varying the length of the sensor element improved sensitivity, but resulted in different prediction models when compared to cases with less sensor length. The predictions are based on the gauge factor, which was determined for the each test case. This value provides the essential relationship between resistance and strain. Experiments proved that the measured gauge factor depended greatly on the sensor length and orientation. The correlation was of sufficient accuracy to predict strain values in a composite laminate without the use of any added tools or equipment besides the ohm-meter. Analytical solutions to the loading cases were developed to validate results obtained during experiments. The solutions were in good agreement with the experimental results.
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Overbey, Lucas A. "Time series analysis and feature extraction techniques for structural health monitoring applications." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3291254.

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Thesis (Ph. D.)--University of California, San Diego, 2008.
Title from first page of PDF file (viewed February 14, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 257-268).
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Books on the topic "Health monitoring applications"

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Chapuis, Bastien, and Eric Sjerve, eds. Sensors, Algorithms and Applications for Structural Health Monitoring. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69233-3.

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Schmidt, Silke. editor of compilation, Rienhoff, O. (Otto), 1949- editor of compilation, and PHM Ethics (Project), eds. Interdisciplinary assessment of personal health monitoring. Amsterdam: IOS Press, 2013.

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Health monitoring of structural materials and components: Methods with applications. Chichester, UK: John Wiley & Sons, 2007.

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Rodellar, José, Diego Alexander Tibaduiza Burgos, and Luis Eduardo Mujica. Emerging design solutions in structural health monitoring systems. Hershey, PA: Engineering Science Reference, 2015.

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Ettouney, Mohammed. Infrastructure health in civil engineering: Applications and management. Boca Raton: CRC Press, 2012.

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Phillip, Olla, and Tan Joseph K. H, eds. Mobile health solutions for biomedical applications. Hershey, PA: Medical Information Science Reference, 2009.

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Vic.) Asia-Pacific Workshop on Structural Health Monitoring (4th 2012 Melbourne. Structural health monitoring: Research and applications : peer reviewed papers from the 4th Asia-Pacific Workshop on Structural Health Monitoring, December 5-7, 2012, Melbourne, Australia. Durnten-Zurich, Switzerland: TTP, Trans Tech Publications Ltd, 2013.

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A, Minear R., ed. Applications of molecular biology in environmental chemistry. Boca Raton: CRC, Lewis Publishers, 1995.

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Bernd, Blobel, Pharow Peter, and Parv Liisa, eds. pHealth 2013: Proceedings of the 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health, June 26-28, 2013, Tallin, Estonia. Amsterdam: IOS Press, 2013.

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Vienna, Austria) International Conference on Wearable Micro and Nano Technologies for Personalized Health (11th 2014. pHealth 2014: Proceedings of the 11th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 11-13 June 2014, Vienna, Austria. Amsterdam: IOS Press, 2014.

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Book chapters on the topic "Health monitoring applications"

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Paul, Michael J., and Mark Dredze. "Public Health Applications." In Social Monitoring for Public Health, 49–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02311-8_5.

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Gupta, Rashmi, and Jeetendra Kumar. "Smartphone Applications for Monitoring Physical Activities." In TELe-Health, 191–207. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05049-7_12.

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van Driel, W. D., L. M. Middelburg, B. El Mansouri, and B. J. C. Jacobs. "Health Monitoring for Lighting Applications." In Sensor Systems Simulations, 367–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16577-2_13.

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Lehmhus, Dirk, and Matthias Busse. "Structural Health Monitoring (SHM)." In Material-Integrated Intelligent Systems - Technology and Applications, 529–70. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527679249.ch22.

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Muller-Karger, Frank E. "Remote Sensing Applications to Ocean and Human Health." In Earth System Monitoring, 389–419. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5684-1_16.

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Ghandehari, Masoud. "Optical Phenomenology for Materials Health Monitoring." In Optical Phenomenology and Applications, 3–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70715-0_1.

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Fotouhi, Hossein, Maryam Vahabi, Apala Ray, and Mats Björkman. "Reliable Communication in Health Monitoring Applications." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 64–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51234-1_10.

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Rajesh Gowd, G., and M. P. R. Prasad. "ZigBee-Based Health Monitoring System." In Control and Measurement Applications for Smart Grid, 243–54. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7664-2_20.

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Chapuis, Bastien. "Introduction to Structural Health Monitoring." In Sensors, Algorithms and Applications for Structural Health Monitoring, 1–11. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69233-3_1.

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Schultz, Joshua A., Christopher H. Raebel, and Aaron Huberty. "Numerical Modeling of Steel-Framed Floors for Energy Harvesting Applications." In Structural Health Monitoring, Volume 5, 49–57. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04570-2_6.

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Conference papers on the topic "Health monitoring applications"

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REED, JOEY, DREW BARNETT, and MICHAEL TODD. "“Smart” Applications for Monitoring Percutaneous, Osseointegrated Implants." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/14143.

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Soh, Chee, VENU ANNAMDAS, and SURESH BHALLA. "Applications of Structural Health Monitoring Technology in Asia." In Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/1.

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BURTON, ANDREW, and JEROME P. LYNCH. "Wireless Thin Film Strain Sensing Circuit for Implantable Applications." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/13938.

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BLASCH, ERIK, JAIMIE TILEY, MARTIN SCHMIDT, and GERNOT POMRENKE. "Dynamic Data Driven Applications Systems (DDDAS) for Structural Awareness." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32299.

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SHIN, HYE-JIN, SEUNG-CHAN HONG, CHUNG TRUONG, and JUNG-RYUL LEE. "Advances in Smart Hangar and Its Real-world Applications." In Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/311.

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Prieto, Javier. "Microfluidics for health monitoring applications." In Microfluidics, BioMEMS, and Medical Microsystems XVII, edited by Bonnie L. Gray and Holger Becker. SPIE, 2019. http://dx.doi.org/10.1117/12.2516009.

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LOSS, THERESA, OLIVER GERLER, and ALEXANDER BERGMANN. "Validating Accelerometers for Rotating Machinery in Structural Health Monitoring Applications." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32217.

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MALIK, HAROON, and WAEL ZATAR. "An IoT Enabled Framework to Support Structural Health Monitoring Applications." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32242.

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JALALI, HODA, BOWEN ZHENG, AMIR NASROLLAHI, and PIERVINCENZO RIZZO. "Outlier Analysis of Nonlinear Solitary Waves for Health Monitoring Applications." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32370.

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ZOU, FANGXIN, IVANO BENEDETTI, and M. H. ALIABADI. "A Boundary Element Formulation for Modelling Structural Health Monitoring Applications." In Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/221.

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Reports on the topic "Health monitoring applications"

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Agarwal, Smisha, Madhu Jalan, Holly C. Wilcox, Ritu Sharma, Rachel Hill, Emily Pantalone, Johannes Thrul, Jacob C. Rainey, and Karen A. Robinson. Evaluation of Mental Health Mobile Applications. Agency for Healthcare Research and Quality (AHRQ), May 2022. http://dx.doi.org/10.23970/ahrqepctb41.

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Background. Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. Purpose. This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and are intended for use by providers and patients/caregivers. Methods. We reviewed systematic reviews of mental health apps and reviewed published and gray literature on mental health app frameworks, and we conducted four Key Informant group discussions to identify gaps in existing mental health frameworks and key framework criteria. These reviews and discussions informed the development of a draft framework to assess mental health apps. Iterative testing and refinement of the framework was done in seven successive rounds through double application of the framework to a total of 45 apps. Items in the framework with an interrater reliability under 90 percent were discussed among the evaluation team for revisions of the framework or guidance. Findings. Our review of the existing frameworks identified gaps in the assessment of risks that users may face from apps, such as privacy and security disclosures and regulatory safeguards to protect the users. Key Informant discussions identified priority criteria to include in the framework, including safety and efficacy of mental health apps. We developed the Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness and it comprises three sections: Section 1. Risks and Mitigation Strategies, assesses the integrity and risk profile of the app; Section 2. Function, focuses on descriptive aspects related to accessibility, costs, organizational credibility, evidence and clinical foundation, privacy/security, usability, functions for remote monitoring of the user, access to crisis services, and artificial intelligence (AI); and Section 3. Mental Health App Features, focuses on specific mental health app features, such as journaling and mood tracking. Conclusion. FASTER may be used to help appraise and select mental health mobile apps. Future application, testing, and refinements may be required to determine the framework’s suitability and reliability across multiple mental health conditions, as well as to account for the rapidly expanding applications of AI, gamification, and other new technology approaches.
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Chaparadza, Diana. An Analysis of Patient-Generated Health Data in Assisting Nurses and Physicians to Better Treat Patients with Hypertension. University of Tennessee Health Science Center, November 2020. http://dx.doi.org/10.21007/chp.hiim.0080.

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Patient Generated Health Data (PGHD is not new but it has gained more attention these past years due to the advent of smart devices, remote monitoring devices and many applications on various smart devices. PGHD reflects medications and treatment, lifestyle choices, and health history. Unlike traditional medical visits, where clinicians collect and manage data within their offices, PGHD is collected by patients throughout the course of their day and provides an insight of how they are responding to treatments or lifestyle choices. Examples include blood glucose monitoring or blood pressure readings using home health equipment, exercise and diet tracking using mobile applications or wearable devices such as the Fitbit or other smart watches.
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Pstuty, Norbert, Mark Duffy, Dennis Skidds, Tanya Silveira, Andrea Habeck, Katherine Ames, and Glenn Liu. Northeast Coastal and Barrier Network Geomorphological Monitoring Protocol: Part I—Ocean Shoreline Position, Version 2. National Park Service, June 2022. http://dx.doi.org/10.36967/2293713.

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Following a review of Vital Signs – indicators of ecosystem health – in the coastal parks of the Northeast Coastal and Barrier Network (NCBN), knowledge of shoreline change was ranked as the top variable for monitoring. Shoreline change is a basic element in the management of any coastal system because it contributes to the understanding of the functioning of the natural resources and to the administration of the cultural resources within the parks. Collection of information on the vectors of change relies on the establishment of a rigorous system of protocols to monitor elements of the coastal geomorphology that are guided by three basic principles: 1) all of the elements in the protocols are to be based on scientific principles; 2) the products of the monitoring must relate to issues of importance to park management; and 3) the application of the protocols must be capable of implementation at the local level within the NCBN. Changes in ocean shoreline position are recognized as interacting with many other elements of the Ocean Beach-Dune Ecosystem and are thus both driving and responding to the variety of natural and cultural factors active at the coast at a variety of temporal and spatial scales. The direction and magnitude of shoreline change can be monitored through the application of a protocol that tracks the spatial position of the neap-tide, high tide swash line under well-defined conditions of temporal sampling. Spring and fall surveys conducted in accordance with standard operating procedures will generate consistent and comparable shoreline position data sets that can be incorporated within a data matrix and subsequently analyzed for temporal and spatial variations. The Ocean Shoreline Position Monitoring Protocol will be applied to six parks in the NCBN: Assateague Island National Seashore, Cape Cod National Seashore, Fire Island National Seashore, Gateway National Recreation Area, George Washington Birthplace National Monument, and Sagamore Hill National Historic Site. Monitoring will be accomplished with a Global Positioning System (GPS )/ Global Navigation Satellite System (GNSS) unit capable of sub-meter horizontal accuracy that is usually mounted on an off-road vehicle and driven along the swash line. Under the guidance of a set of Standard Operating Procedures (SOPs) (Psuty et al., 2022), the monitoring will generate comparable data sets. The protocol will produce shoreline change metrics following the methodology of the Digital Shoreline Analysis System developed by the United States Geological Survey. Annual Data Summaries and Trend Reports will present and analyze the collected data sets. All collected data will undergo rigorous quality-assurance and quality-control procedures and will be archived at the offices of the NCBN. All monitoring products will be made available via the National Park Service’s Integrated Resource Management Applications Portal.
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Tabata, Akihisa, and Yoshio Aoki. Application of Support Vector Machines to Structural Health Monitoring. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0102.

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Roach, Dennis. Application and Certification of Comparative Vacuum Monitoring Sensors for Structural Health Monitoring of 737 Wing Box Fittings. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1660800.

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SOHN, HOON, JEANETTE R. WAIT, and FARRAR, TANNER, NEAL A. APPLICATION OF A WIRELESS SENSOR MODULE AS A DISTRIBUTED STRUCTURAL HEALTH MONITORING SOLUTION. Office of Scientific and Technical Information (OSTI), June 2002. http://dx.doi.org/10.2172/808001.

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Mahmoudi, Farhad, Mahtab Mokarram, Sadegh Sabouhi, Sara Hashemi, Parastoo Saberi, and Hadi Zamanian. Application of digital health for improving medication adherence in MS patients. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0058.

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Review question / Objective: The aim of this study is to evaluate the efficacy of digital health interventions in monitoring and improving medication adherence in Multiple Sclerosis patients. Condition being studied: Multiple sclerosis (MS) is the most prevalent chronic inflammatory disease of the central nervous system (CNS), which leads to focal lesions in the white matter, characterized by selective primary demyelination with partial preservation of axons and reactive astrocytic gliosis. The disease is thought to be due to a complex interaction between different genetic and environmental factors. The prevalence of MS is rising all over the world, due on one hand to earlier diagnosis and prolonged survival, and on the other to a true increase in incidence of the disease. The diagnosis of MS remains clinical despite recent advances in diagnostics and relies on demonstrating dissemination in space and time while excluding alternative diagnoses.
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Totten, Annette, Dana M. Womack, Marian S. McDonagh, Cynthia Davis-O’Reilly, Jessica C. Griffin, Ian Blazina, Sara Grusing, and Nancy Elder. Improving Rural Health Through Telehealth-Guided Provider-to-Provider Communication. Agency for Healthcare Research and Quality, December 2022. http://dx.doi.org/10.23970/ahrqepccer254.

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Objectives. To assess the use, effectiveness, and implementation of telehealth-supported provider-to-provider communication and collaboration for the provision of healthcare services to rural populations and to inform a scientific workshop convened by the National Institutes of Health Office of Disease Prevention on October 12–14, 2021. Data sources. We conducted a comprehensive literature search of Ovid MEDLINE®, CINAHL®, Embase®, and Cochrane CENTRAL. We searched for articles published from January 1, 2015, to October 12, 2021, to identify data on use of rural provider-to-provider telehealth (Key Question 1) and the same databases for articles published January 1, 2010, to October 12, 2021, for studies of effectiveness and implementation (Key Questions 2 and 3) and to identify methodological weaknesses in the research (Key Question 4). Additional sources were identified through reference lists, stakeholder suggestions, and responses to a Federal Register notice. Review methods. Our methods followed the Agency for Healthcare Research and Quality Methods Guide (available at https://effectivehealthcare.ahrq.gov/topics/cer-methods-guide/overview) and the PRISMA reporting guidelines. We used predefined criteria and dual review of abstracts and full-text articles to identify research results on (1) regional or national use, (2) effectiveness, (3) barriers and facilitators to implementation, and (4) methodological weakness in studies of provider-to-provider telehealth for rural populations. We assessed the risk of bias of the effectiveness studies using criteria specific to the different study designs and evaluated strength of evidence (SOE) for studies of similar telehealth interventions with similar outcomes. We categorized barriers and facilitators to implementation using the Consolidated Framework for Implementation Research (CFIR) and summarized methodological weaknesses of studies. Results. We included 166 studies reported in 179 publications. Studies on the degree of uptake of provider-to-provider telehealth were limited to specific clinical uses (pharmacy, psychiatry, emergency care, and stroke management) in seven studies using national or regional surveys and claims data. They reported variability across States and regions, but increasing uptake over time. Ninety-seven studies (20 trials and 77 observational studies) evaluated the effectiveness of provider-to-provider telehealth in rural settings, finding that there may be similar rates of transfers and lengths of stay with telehealth for inpatient consultations; similar mortality rates for remote intensive care unit care; similar clinical outcomes and transfer rates for neonates; improvements in medication adherence and treatment response in outpatient care for depression; improvements in some clinical monitoring measures for diabetes with endocrinology or pharmacy outpatient consultations; similar mortality or time to treatment when used to support emergency assessment and management of stroke, heart attack, or chest pain at rural hospitals; and similar rates of appropriate versus inappropriate transfers of critical care and trauma patients with specialist telehealth consultations for rural emergency departments (SOE: low). Studies of telehealth for education and mentoring of rural healthcare providers may result in intended changes in provider behavior and increases in provider knowledge, confidence, and self-efficacy (SOE: low). Patient outcomes were not frequently reported for telehealth provider education, but two studies reported improvement (SOE: low). Evidence for telehealth interventions for other clinical uses and outcomes was insufficient. We identified 67 program evaluations and qualitative studies that identified barriers and facilitators to rural provider-to-provider telehealth. Success was linked to well-functioning technology; sufficient resources, including time, staff, leadership, and equipment; and adequate payment or reimbursement. Some considerations may be unique to implementation of provider-to-provider telehealth in rural areas. These include the need for consultants to better understand the rural context; regional initiatives that pool resources among rural organizations that may not be able to support telehealth individually; and programs that can support care for infrequent as well as frequent clinical situations in rural practices. An assessment of methodological weaknesses found that studies were limited by less rigorous study designs, small sample sizes, and lack of analyses that address risks for bias. A key weakness was that studies did not assess or attempt to adjust for the risk that temporal changes may impact the results in studies that compared outcomes before and after telehealth implementation. Conclusions. While the evidence base is limited, what is available suggests that telehealth supporting provider-to-provider communications and collaboration may be beneficial. Telehealth studies report better patient outcomes in some clinical scenarios (e.g., outpatient care for depression or diabetes, education/mentoring) where telehealth interventions increase access to expertise and high-quality care. In other applications (e.g., inpatient care, emergency care), telehealth results in patient outcomes that are similar to usual care, which may be interpreted as a benefit when the purpose of telehealth is to make equivalent services available locally to rural residents. Most barriers to implementation are common to practice change efforts. Methodological weaknesses stem from weaker study designs, such as before-after studies, and small numbers of participants. The rapid increase in the use of telehealth in response to the Coronavirus disease 2019 (COVID-19) pandemic is likely to produce more data and offer opportunities for more rigorous studies.
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Short, Samuel, Bernhard Strauss, and Pantea Lotfian. Emerging technologies that will impact on the UK Food System. Food Standards Agency, June 2021. http://dx.doi.org/10.46756/sci.fsa.srf852.

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Rapid technological innovation is reshaping the UK food system in many ways. FSA needs to stay abreast of these changes and develop regulatory responses to ensure novel technologies do not compromise food safety and public health. This report presents a rapid evidence assessment of the emerging technologies considered most likely to have a material impact on the UK food system and food safety over the coming decade. Six technology fields were identified and their implications for industry, consumers, food safety and the regulatory framework explored. These fields are: Food Production and Processing (indoor farming, 3D food printing, food side and byproduct use, novel non-thermal processing, and novel pesticides); Novel Sources of Protein, such as insects (for human consumption, and animal feedstock); Synthetic Biology (including lab-grown meat and proteins); Genomics Applications along the value chain (for food safety applications, and personal “nutrigenomics”); Novel Packaging (active, smart, biodegradable, edible, and reusable solutions); and, Digital Technologies in the food sector (supporting analysis, decision making and traceability). The report identifies priority areas for regulatory engagement, and three major areas of emerging technology that are likely to have broad impact across the entire food industry. These areas are synthetic biology, novel food packaging technologies, and digital technologies. FSA will need to take a proactive approach to regulation, based on frequent monitoring and rapid feedback, to manage the challenges these technologies present, and balance increasing technological push and commercial pressures with broader human health and sustainability requirements. It is recommended FSA consider expanding in-house expertise and long-term ties with experts in relevant fields to support policymaking. Recognising the convergence of increasingly sophisticated science and technology applications, alongside wider systemic risks to the environment, human health and society, it is recommended that FSA adopt a complex systems perspective to future food safety regulation, including its wider impact on public health. Finally, the increasing pace of technological
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Allen, David W. Software for Manipulating and Embedding Data Interrogation Algorithms into Integrated Systems: Special Application to Structural Health Monitoring. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/837287.

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