Relevant bibliographies by topics / Biomedical engineering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Biomedical engineering'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Biomedical engineering"

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Weiss, Rick. "Biomedical Engineering." Science News 134, no. 8 (August 20, 1988): 122. http://dx.doi.org/10.2307/3973134.

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Feng, Alexander. "Biomedical Engineering." Imagine 6, no. 3 (1999): 7. http://dx.doi.org/10.1353/imag.2003.0238.

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Brannon-Peppas, Lisa. "Biomedical engineering." Journal of Controlled Release 37, no. 3 (December 1995): 308. http://dx.doi.org/10.1016/0168-3659(95)90004-7.

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Wiederschain, G. Ya. "Biomedical engineering principles." Biochemistry (Moscow) 71, no. 5 (May 2006): 581. http://dx.doi.org/10.1134/s000629790605018x.

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&NA;. "Hospital Biomedical Engineering." Journal of Clinical Engineering 22, no. 4 (July 1997): 210. http://dx.doi.org/10.1097/00004669-199707000-00012.

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Lozano-Nieto, Albert. "Biomedical Engineering Technology." Journal of Clinical Engineering 29, no. 1 (January 2004): 43–48. http://dx.doi.org/10.1097/00004669-200401000-00043.

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Taylor, Kevin, Doug Osmond, Keith Deans, Erwin Sumcad, and Christine Roemer. "Extreme Biomedical Engineering." Journal of Clinical Engineering 29, no. 3 (2004): 153–62. http://dx.doi.org/10.1097/00004669-200407000-00051.

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SAKUMA, Ichiro. "Biomedical Precision Engineering." Journal of the Japan Society for Precision Engineering 75, no. 1 (2009): 111–12. http://dx.doi.org/10.2493/jjspe.75.111.

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Lesavoy, Malcolm A. "Biomedical Engineering IV." Plastic and Reconstructive Surgery 80, no. 2 (August 1987): 317. http://dx.doi.org/10.1097/00006534-198708000-00036.

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OHSHIMA, Hiroshi, Naoaki KANAI, and Kiyoyuki YAMAZAKI. "Future of biomedical engineering." Journal of Advanced Science 14, no. 4 (2002): 157–59. http://dx.doi.org/10.2978/jsas.14.157.

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Dissertations / Theses on the topic "Biomedical engineering"

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Parker, Rachael N. "Protein Engineering for Biomedical Materials." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77416.

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The inherent design freedom of protein engineering and recombinant protein production enables specific tailoring of protein structure, function, and properties. Two areas of research where protein engineering has allowed for many advances in biomedical materials include the design of novel protein scaffolds for molecular recognition, as well as the use of recombinant proteins for production of next generation biomaterials. The main focus of my dissertation was to develop new biomedical materials using protein engineering. Chapters three and four discuss the engineering of repeat proteins as bio-recognition modules for biomedical sensing and imaging. Chapter three provides an overview of the most recent advances in engineering of repeat proteins in the aforementioned field. Chapter four discusses my contribution to this field. We have designed a de novo repeat protein scaffold based on the consensus sequence of the leucine rich repeat (LRR) domain of the NOD family of cytoplasmic innate immune system receptors. Innate immunity receptors have been described as pattern recognition receptors in that they recognize "global features" of a family of pathogens versus one specific antigen. In mammals, two main protein families of such receptors are: extracellular Toll-like receptors (TLRs) and cytoplasmic Nucletide-binding domain- and Leucine-rich Repeat-containing proteins (NLRs). NLRs are defined by their tripartite domain architecture that contains a C-terminal LRR (Leucine Rich Repeat) domain, the nucleotide-binding oligomerization (NACHT) domain, and the N-terminal effector domain. It is proposed that pathogen sensing in NLRs occurs through ligand binding by the LRR domain. Thus, we hypothesized that LRRs would be suitable for the design of alternative binding scaffolds for use in molecular recognition. The NOD protein family plays a very important role in innate immunity, and consequently serves as a promising scaffold for design of novel recognition motifs. However, engineering of de novo proteins based on the NOD family LRR domain has proven challenging due to problems arising from protein solubility and stability. Consensus sequence design is a protein design tool used to create novel proteins that capture sequence-structure relationships and interactions present in nature in order to create a stable protein scaffold. We implement a consensus sequence design approach to develop proteins based on the LRR domain of NLRs. Using a multiple sequence alignment we analyzed all individual LRRs found in mammalian NLRs. This design resulted in a consensus sequence protein containing two internal repeats and separate N- and C- capping repeats named CLRR2. Using biophysical characterization methods of size exclusion chromatography, circular dichroism, and fluorescence, CLRR2 was found to be a stable, monomeric, and cysteine free scaffold. Additionally, CLRR2, without any affinity maturation, displayed micromolar binding affinity for muramyl dipeptide (MDP), a bacterial cell wall fragment. To our knowledge, this is the first report of direct interaction of a NOD LRR with a physiologically relevant ligand. Furthermore, CLRR2 demonstrated selective recognition to the biologically active stereoisomer of MDP. Results of this study indicate that LRRs are indeed a useful scaffold for development of specific and selective proteins for molecular recognition, creating much potential for future engineering of alternative protein scaffolds for biomedical applications. My second research interest focused on the development of proteins for novel biomaterials. In the past two decades, keratin biomaterials have shown impressive results as scaffolds for tissue engineering, wound healing, and nerve regeneration. In addition to its intrinsic biocompatibility, keratin interacts with specific cell receptors eliciting beneficial biochemical cues, as well as participates in important regulatory functions such as cell migration and proliferation and protein signalling. The aforementioned properties along with keratins' inherent capacity for self-assembly poise it as a promising scaffold for regenerative medicine and tissue engineering applications. However, due to the extraction process used to obtain natural keratin proteins from natural sources, protein damage and formation of by-products that alter network self-assembly and bioactivity often occur as a result of the extensive processing conditions required. Furthermore, natural keratins require exogenous chemistry in order to modify their properties, which greatly limits sequence tunability. Recombinant keratin proteins have the potential to overcome the limitations associated with the use of natural keratins while also maintaining their desired structural and chemical characteristics. Thus, we have used recombinant DNA technology for the production of human hair keratins, keratin 31 (K31) and keratin 81 (K81). The production of recombinant human hair keratins resulted in isolated proteins of the correct sequence and molecular weight determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis and mass spectrometry. Proteins with no unwanted sequence truncations, deletions, or mutations indicate recombinant DNA technology can be used to reliably generate full length keratin proteins. This allows for consistent starting materials with no observable impurities or undesired by-products, which combats a major challenge associated with natural keratins. Additionally, recombinant keratins must maintain the intrinsic propensity for self-assembly found in natural keratins. To test the propensity for self-assembly, we implemented size exclusion chromatography (SEC), dynamic light scattering (DLS), and transmission electron microscopy (TEM) to characterize K31, K81, and an equimolar mixture of K31 and K81. The results of the recombinant protein characterization reveal novel homo-polymerization of K31 and K81, not previously reported, and formation of characteristic keratin fibers for the K31 and K81 mixture. Therefore, recombinant K31 and K81 retain the intrinsic biological activity (i.e. self-assembly) of natural keratin proteins. We have also conducted a comparative study of recombinant and extracted heteropolymer K31/K81. Through solution characterization and TEM analysis it was found that use of the recombinant heteropolymer allows for increased purity of starting material while also maintaining self-assembly properties necessary for functional use in biomaterials design. However, under the processing condition implemented, extracted keratins demonstrated increased efficiency of assembly. Through each study we conclude that recombinant keratin proteins provide a promising solution to overcome the challenges associated with natural protein materials and present an exceptional design platform for generation of new biomaterials for regenerative medicine and tissue engineering.
Ph. D.
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Tuffnell, Craig Simon. "Biomedical engineering aspects of infant thermoregulation and respiration." Thesis, University of Canterbury. Electrical and Electronic Engineering, 1993. http://hdl.handle.net/10092/6698.

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Analysis of infant body temperature, environmental temperature and respiratory behaviour has become an important aspect of Sudden Infant Death Syndrome research. The application of engineering techniques as a means of providing research tools has been found to be beneficial for medical research. Signal processing techniques have been developed and applied to the analysis of physiological signals that have been collected from infants in the home environment. These techniques allow physiological signals to be analysed and correlated with the use of both time and frequency domain algorithms. Signals of several days duration are manipulated so they may be easily viewed and studied without the loss of significant information. Parameter evaluation of the fundamental frequencies of periodic signals and statistical parameter estimation of random signals have been employed to tease out trends from within the data. Analysis of physiological signals from sleeping infants has revealed hourly oscillations in their body temperatures that are highly correlated with their breathing rate and breathing rate interquartile range (variability). The oscillations appear to have the highest magnitude when the infant rectal temperatures are near to the mean rectal temperature value. Although some form of relationship between temperature and respiration is evident, insufficient information has been yielded by these signal processing techniques to divulge exactly what the relationship is. A mathematical model of the human thermoregulatory control system has been developed to investigate the behaviour of temperature regulation in infants. The model has been used to test the hypothesis that infant thermal control is inherently unstable. In this model, heat flow through the body tissues is calculated and the effect of bedding on heat loss is also considered. Automatic temperature regulation is achieved by negative feedback control of the metabolic rate, sweat rate and blood flow distribution in the model. Under physiologically normal conditions, the model shows oscillatory behaviour with a period of approximately one hour. Therefore, the model indicates that the temperature oscillations that have been observed in infants in the home environment, may be a direct result of a marginally stable or unstable thermoregulatory control system. The oscillations occurred when the model was operating just below the thermoneutral point. If the mean infant rectal temperature is assumed to be close to the thermoneutral point, then the model behaviour agrees closely with the data collected from infants. Evidence gathered from the behaviour of the thermoregulation model and from the signals collected from infants suggests that thermoregulation may be a dominant control system within the body, therefore, temperature may directly influence respiration. A mathematical model of the human infant respiratory control system has been developed to investigate the effect of body temperature on respiratory system behaviour during sleep and to test the hypothesis that the respiratory system is influenced directly by temperature and indirectly by thermoregulation. A multi-compartment model configuration is used to represent the carbon dioxide and oxygen stores within the body and a controller, sensitive to carbon dioxide and oxygen, adjusts the ventilation rate to complete a negative feedback control loop. Small changes in body temperatures were found to affect the steady state response of the respiratory model while the stability remained relatively unaffected. However, the respiratory model is highly sensitive to small amounts of noise added to blood flows, metabolic rate and arterial gas partial pressures. Therefore, the observed oscillations in infant breathing rate may be a direct effect of thermoregulation while the infant breathing rate interquartile range oscillations are probably induced by another mechanism.
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Rasekh, M. "Ordered architectures for biomedical topographies and tissue engineering." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1365985/.

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A recently developed electrohydrodynamic direct-write printing method which can be applied to all types of materials and used to create ordered structures and complex patterns using coarse processing needles is described. Utilising co-axial flow of materials has been successful in enabling encapsulated structures to be generated by this technique. Topography is a crucial physical cue in influencing cellular responses and should be considered when designing biomedical architectures. Electrohydrodynamic printing is used in this work to generate ordered topographies with proven biomaterials. By coupling this method with solvent evaporation techniques, desirable scaffold properties can be achieved. These novel areas will offer much greater control over the forming of a plethora of micro- and nano-scaled structures and is essential for topographic studies (e.g. of living cells), novel particle preparation methods, coatings and direct writing of biomaterials. Few studies have evaluated the early stages of cell attachment and migration on the surface of biomaterials, partly due to a lack of suitable techniques. One of the major aims of this study was to use time-lapse microscopy to evaluate the behaviour of fibroblasts cultured with polycaprolactone microfibers and to assess spatially and temporally, the cell-microfiber interaction over a 24 hours period. Ordered polymeric structures were printed onto glass substrates using electrohydrodynamic printing to produce fine microfibers according to a predetermined architecture. Fibroblast attachment and migration was characterized as a function of distance from microfibers. The use of time-lapse microscopy revealed a gradual decrease in cell attachment as the distance from the structures was increased. The technique also revealed interesting cell behaviour once attached to the structures that would otherwise have been missed with standard microscopy techniques. The findings demonstrate time-lapse microscopy is a useful technique for evaluating early stage cell-biomaterial interaction that is capable of recording important events that might otherwise be overlooked.
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Zhang, Rongsheng. "Dextran hydrogel preparation and applications in biomedical engineering." Thesis, University of Bath, 2004. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398371.

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Chase, Rebecca M. "Nanotexturing for Biomedical Implants." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1366030056.

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Magdon, Ismail Fathuma Shaira. "Surface engineering of biomaterials for optimal bone bonding characteristics." Phd thesis, School of Aerospace, Mechanical and Mechatronic Engineering, 2008. http://hdl.handle.net/2123/6612.

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Buhagiar, Joseph. "Plasma surface engineering and characterisation of biomedical stainless steels." Thesis, University of Birmingham, 2008. http://etheses.bham.ac.uk//id/eprint/3744/.

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Low temperature plasma surface alloying with nitrogen (nitriding), carbon (carburising) and both (carbonitriding) has been successfully employed in hardening medical grade ASTM F138, ASTM F1586 and ASTM F2581 as well as engineering grade AISI 316 by the formation of a modified layer better known as S-phase or expanded austenite. In this study, systematic plasma treatments and characterisation were performed on medical grade stainless steel in order to establish the optimised treatment conditions, especially temperature, which can maximise the hardened case depth without any detriment in corrosion resistance. The surface of a biomaterial must not adversely affect its biological environment and return the material surface must not be adversely affected by the surrounding host tissue and fluids. Experimental results have shown that this duality of concern can be addressed by creating S-phase. It has been shown that low-temperature nitriding (430°C), carburising (500°C) and carbonitriding (430°C) improved the localised corrosion, corrosion-wear and fretting-wear resistance of these medical grade stainless. Also biocompatibility studies have proved that these hardened surfaces were biocompatible under the realms of the tests conducted in this study therefore the use of hardened medical grade austenitic stainless steel might be suitable in implant applications.
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Park, Jaejong. "Advanced Topology Optimization Techniques for Engineering and Biomedical Problems." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534347400733419.

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Mohamedi, Graciela. "Engineering the surface properties of microbubbles for biomedical applications." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:e68f2010-19b6-45af-b238-da8e2d29b270.

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Surfactant coated microbubbles are widely used as contrast agents (UCA) in medical ultrasound imaging, due to their high echogenicity and non-linear response to acoustic excitation. Controlling the stability of microbubbles in vivo represents a considerable challenge. Understanding the characteristics of the bubble surface and how they change with production method, composition and environment is key to addressing this problem. The aim of this thesis is to investigate viscosity, bubble dissolution, and acoustic response as functions of their composition, manufacturing method and environment. Bubbles were made using combinations of phospholipid and an emulsifier in different molar ratios. Adding the emulsifier decreased both the size and the surface viscosity of the bubbles and caused changes in the scattered pressure amplitude of bubbles under ultrasound. To increase microbubble stability, solid inorganic nanoparticles were adsorbed on to the microbubble surface. These particles behaved as Pickering stabilisers, and deterred Ostwald ripening. The nanoparticles also enhanced the nonlinear behaviour of bubbles at low acoustic pressures. Three manufacturing methods (sonication, cross-flow and flow focusing) were investigated in order to verify stability differences. Sonication produced bubbles with surface viscosities hundreds of centipoise greater than those produced by microfluidics. Both pressure amplitude and harmonic content for sonicated bubbles were found to be much larger due to a higher liposomal adhesion rate at the surface. Solution temperature and bubble age were also investigated. When the solutions were heated above the phospholipid gelling temperature, microfluidic bubbles showed an increased surface viscosity, due to increased liposome adhesion caused by the increased temperature. Bubble composition, manufacturing method and environment were found to vary the surface characteristics of the microbubbles. Further investigations into the affects of the filling gas, in vitro studies, and low temperature TEM characterisation should be conducted to produce a microbubble with the full range of desired characteristics.
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Al-Abdullat, Yousef Abdel Halim. "Biomedical Engineering oｆ Magnesium Behaviors in Simulated Body Fluid." 京都大学 (Kyoto University), 2002. http://hdl.handle.net/2433/149800.

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Books on the topic "Biomedical engineering"

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Miyauchi, Akihiro, and Yuji Miyahara. Biomedical Engineering. New York: Jenny Stanford Publishing, 2021. http://dx.doi.org/10.1201/9781003141945.

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Suh, Sang C., Varadraj P. Gurupur, and Murat M. Tanik, eds. Biomedical Engineering. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0116-2.

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Miyauchi, Akihiro, and Hiroyuki Kagechika. Biomedical Engineering. New York: Jenny Stanford Publishing, 2024. http://dx.doi.org/10.1201/9781003464044.

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Ossandon, Miguel R., Houston Baker, and Avraham Rasooly, eds. Biomedical Engineering Technologies. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1803-5.

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Rasooly, Avraham, Houston Baker, and Miguel R. Ossandon, eds. Biomedical Engineering Technologies. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1811-0.

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Piemonte, Vincenzo, Angelo Basile, Taichi Ito, and Luigi Marrelli, eds. Biomedical Engineering Challenges. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119296034.

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Gargiulo, Gaetano D., and Alistair McEwan. Advanced biomedical engineering. Rijeka, Croatia: InTech Open Access Publisher, 2011.

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author, Hazelwood Vikki, Valdevit Antonio author, and Ascione Alfred author, eds. Biomedical engineering principles. Boca Raton: Taylor & Francis, 2011.

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Ritter, Arthur B. Biomedical engineering principles. Boca Raton: Taylor & Francis, 2011.

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Lee, Jen-shih. Biomedical engineering entrepreneurship. New Jersey: World Scientific, 2010.

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Book chapters on the topic "Biomedical engineering"

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Pachori, Ram Bilas, and Vipin Gupta. "Biomedical Engineering Fundamentals." In Intelligent Internet of Things, 547–605. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30367-9_12.

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Rathore, Shubham, Dinesh Bhatia, and Sushman Sharma. "Engineering and Biomedical Engineering Department." In A Guide to Hospital Administration and Planning, 185–92. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6692-7_11.

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Hassanpour, Reza. "IMAGE PROCESSING TECHNIQUES IN BIOMEDICAL ENGINEERING." In Biomedical Engineering, 187–202. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0116-2_14.

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Patgiri, Ripon, and Sabuzima Nayak. "Big Biomedical Data Engineering." In Principles of Data Science, 31–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43981-1_3.

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Jones, Julian R., and Aldo R. Boccaccini. "Biomedical Applications: Tissue Engineering." In Cellular Ceramics, 547–70. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527606696.ch5h.

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Enkhjargal, B. "Biomedical Engineering Undergraduate Courses." In IFMBE Proceedings, 1698–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_446.

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Lessard, Charles S. "Biomedical Engineering Signal Analysis." In Signal Processing of Random Physiological Signals, 1–4. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-01610-3_1.

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Lam, Raymond H. W., and Weiqiang Chen. "Medical Imaging and Reverse Engineering." In Biomedical Devices, 183–214. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24237-4_7.

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Chan, Lawrence S. "Emerging Biomedical Imaging." In Engineering-Medicine, 267–79. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2018] | “A Science Publishers book.”: CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-22.

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Zhu, Rui, and Lawrence S. Chan. "Emerging Biomedical Analysis." In Engineering-Medicine, 280–98. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2018] | “A Science Publishers book.”: CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-23.

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Conference papers on the topic "Biomedical engineering"

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"Biomedical engineering." In 2012 20th Iranian Conference on Electrical Engineering (ICEE 2012). IEEE, 2012. http://dx.doi.org/10.1109/iraniancee.2012.6292622.

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"Biomedical engineering." In 2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW). IEEE, 2015. http://dx.doi.org/10.1109/eiconrusnw.2015.7102297.

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"S7: Biomedical engineering." In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2018. http://dx.doi.org/10.1109/tcset.2018.8336286.

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"Session BM: Biomedical engineering." In 2015 Tenth International Conference on Computer Engineering & Systems (ICCES). IEEE, 2015. http://dx.doi.org/10.1109/icces.2015.7393082.

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"Session BM: Biomedical engineering." In 2014 9th International Conference on Computer Engineering & Systems (ICCES). IEEE, 2014. http://dx.doi.org/10.1109/icces.2014.7030952.

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"Session BM: Biomedical engineering." In 2016 11th International Conference on Computer Engineering & Systems (ICCES). IEEE, 2016. http://dx.doi.org/10.1109/icces.2016.7821998.

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"Session BM: Biomedical engineering." In 2017 12th International Conference on Computer Engineering and Systems (ICCES). IEEE, 2017. http://dx.doi.org/10.1109/icces.2017.8275275.

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"Session BM: Biomedical Engineering." In 2019 14th International Conference on Computer Engineering and Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces48960.2019.9068113.

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Lambrini, Seremeti, and Kameas Achilles. "Biomedical Engineering through Ontologies." In International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005073802400247.

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Pearson, James E. "Perceptions regarding biomedical engineering." In Health Care Technology Policy II: The Role of Technology in the Cost of Health Care: Providing the Solutions, edited by Warren S. Grundfest. SPIE, 1995. http://dx.doi.org/10.1117/12.225325.

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Reports on the topic "Biomedical engineering"

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Bodruzzama, Mohammad. Biomedical Engineering Laboratory. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada416369.

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Chait, Richard, and Julius Chang. Roundtable on Biomedical Engineering Materials and Applications. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada396606.

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Author, Not Given. Biomedical engineering research at DOE national labs. Office of Scientific and Technical Information (OSTI), March 1999. http://dx.doi.org/10.2172/786737.

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Chait, Richard, Teri Thorowgood, and Toni Marechaux. Roundtable on Biomedical Engineering Materials and Applications. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada407761.

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Chait, Richard, Toni Marechaux, and Emily A. Meyer. Roundtable on Biomedical Engineering Materials and Application. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada417008.

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Chait, Richard. Roundtable on Biomedical Engineering Materials and Applications. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada391253.

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Palmer, James, Yuri Lvov, Hisham Hegab, Dale Snow, Chester Wilson, John McDonald, Lynn Walker, et al. Biomedical Engineering Bionanosystems Research at Louisiana Tech University. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/974199.

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Taksa, Lucy, Rob Paterson, and Wendy Paterson. Biomedical engineering a critical workforce in healthcare delivery. The Sax Institute, January 2020. http://dx.doi.org/10.57022/nqvh2815.

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This Evidence Check aims to describe the current state of the biomedical engineering workforce in NSW and the challenges to maintaining this workforce. It draws on a scoping report prepared by the NSW Ministry of Health, a desktop review and interviews with key informants. The authors present key findings and recommendations for this small but critical workforce. These include addressing critical gaps in data on the workforce, clarifying and defining roles, issues around recruitment and retention, the impact of technological changes and issues around employment and deployment across diverse clinical contexts and within integrated health structures, services and systems.
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Sobel, A. L., K. T. Stalker, and A. Yee. A human factors engineering approach to biomedical decision making: A new role for automatic target recognizer technologies. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10120218.

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