Gotowe bibliografie tematyczne / Healthcare technology-Biosensor

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Gotowa bibliografia na temat „Healthcare technology-Biosensor”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "Healthcare technology-Biosensor"

Wu, Wenzheng, Chengzhen Meng, Xiaoyi Zhao, Jingyi Yun, Shihao Wang, Wei Zhao i Pufan Shan. "Advances in biosensor technology in clinical medicine". Highlights in Science, Engineering and Technology 8 (17.08.2022): 687–94. http://dx.doi.org/10.54097/hset.v8i.1305.

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With the rapid development of science and technology and medical technology, the development of biosensor technology is on the fast track and is becoming increasingly integrated into clinical care. This phenomenon has revolutionised the healthcare industry, but at the same time, the drawbacks are also becoming apparent. In this paper, we examine the process of integrating biosensor technology with clinical care, discussing the current state of integration and making recommendations accordingly.

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Dai, Ming, Qi Wang i Wan Qin Wu. "Development of a Wearable Biosensor System for Ubiquitous Healthcare Applications". Applied Mechanics and Materials 670-671 (październik 2014): 1256–59. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1256.

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With the development of wearable computing, wireless communication and artificial intelligence technology, the physiological monitoring systems for homecare applications achieved more and more attention. It is a challenge to design a fully integrated circuit satisfying the requirements of wearable biosensor system, such as small size, low power consumption, wireless transmission, and high signal noise rate (SNR). Based on these considerations, we recently developed a fully-integrated circuit for a wearable biosensor system to measure multiple vital signs in real time, meanwhile, we adopted FIR notch filter to remove the 50Hz power line interference and used cubic spline interpolation to reduce baseline drift noise. The experimental results showed that this wearable system ran well, which could be applied for real-time and ubiquitous healthcare in daily life.

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Dimitri, Paul. "Child health technology: shaping the future of paediatrics and child health and improving NHS productivity". Archives of Disease in Childhood 104, nr 2 (28.08.2018): 184–88. http://dx.doi.org/10.1136/archdischild-2017-314309.

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In the last decade, technology has revolutionised the way we deliver healthcare. Smartphones, tablets, personal computers and bespoke devices have provided patients with the means to access health information, manage their healthcare and communicate with health professionals remotely. Advances in technology have the potential to change how acute and long-term conditions are diagnosed and managed and how illness is prevented using technological advances in artificial intelligence, virtual and augmented reality, robotics, 3D printing, new materials, biosensor technologies and data analytics. In the future, predictive analytics will help with earlier disease diagnosis in at-risk populations.Historically, development of child health innovation and technology has taken place in a relatively emergent manner with little formal coordination. The aim is to move away from the traditional approach of repurposing adult technologies to provide a large-scale and coordinated approach for the development of bespoke health technology for children that is anatomically, physiologically and developmentally appropriate, versatile and that has been designed with children and young people. The challenge for the National Health Service alongside healthcare systems across the world is to deliver increasingly complex healthcare at lower cost and with better quality of life and greater efficiency.

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Neves, Paulo, Michal Stachyra i Joel Rodrigues. "Application of Wireless Sensor Networks to Healthcare Promotion". Journal of Communications Software and Systems 4, nr 3 (22.09.2008): 181. http://dx.doi.org/10.24138/jcomss.v4i3.218.

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Born on military applications, wireless sensor networks(WSNs) application grew on the promise of environment sensing and data processing capability at low cost. These networks can hold hundreds or even thousands of smart sensing nodes with processing and sensing capabilities and even integrated power through a dedicated battery. This paper surveys on the application of wireless sensor networks to healthcare promotion, namely with the use of biosensor technology applied to body sensor networks. On a wireless body sensor network, a person wears biosensors to gather data, while doing their daily activities. Currently, engineers and medical staff are cooperating on findingnew ways to properly gather meaningful data on-site and achieve a convenient way to process these data for research and on-site medical decision. New challenges that such approach brings are also considered. Moreover, it is shown that wireless sensor networks provide the technology to built wireless sensing and create a convenient infrastructure for multiple data gathering in healthcare applications. Together with real successful examples, we demonstrate the great usefulness of wireless sensor networks in healthcare promotion. The paper concludes with some guidelines for future work.

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Reddy Yeruva, Ajay. "Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring". Eduvest - Journal of Universal Studies 3, nr 2 (17.01.2023): 327–34. http://dx.doi.org/10.36418/eduvest.v3i2.742.

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We see the critical role technology plays in healthcare in the midst of a continuous worldwide health crisis. To combat the epidemic, South Korea, for example, used smart city' technology and government-developed applications that follow individuals in quarantine. A biosensor that can identify the virus in saliva samples has just been created by India's National Institute of Animal Biotechnology, Hyderabad. These developments are made feasible by the usage of certain biosensors that have printed circuit boards with metal core components capable of withstanding large variations in moisture and temperature. A very sophisticated breakthrough, artificial intelligence for IT operations, is altering the healthcare sector in addition to the technology that aid nations in combating the epidemic. This general phrase, also known as AIOps, describes the automated detection and repair of typical IT problems using big data, machine learning, and other AI technologies. AIOps may be used in the healthcare industry to teach computers to analyse CT scan pictures, follow the progression of various illnesses, assess the effectiveness of patient therapy, and much moren.

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Cabanillas-Carbonell, Michael, Jorge Pérez-Martínez i Jaime A. Yáñez. "5G Technology in the Digital Transformation of Healthcare, a Systematic Review". Sustainability 15, nr 4 (9.02.2023): 3178. http://dx.doi.org/10.3390/su15043178.

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The world is currently facing one of the biggest problems related to health and the quality of healthcare. According to the goals outlined by WHO in the blueprint for sustainable development (SDG3), one of its objectives is to achieve universal health coverage and ensure a healthy lifestyle. In this regard, it is important to monitor and track the impact of applications that help address this problem. This systematic review provides an analysis of the impact of the 5G network on the use of apps to improve healthcare. An analysis of 343 articles was performed, obtaining 66 relevant articles, the articles were categorized into research conducted with fiber optic backbone network as well as future research. The main medical applications were identified as: telesurgery, mobile ultrasound, biosensor technology, robotic surgery and connected ambulance. In addition, it is classified and answer questions such as the most used to improve medical care and health quality, 5G-based applications used in media to improve medical care and health quality, databases and programming languages in telemedicine are the most used in 5G-based applications, the functionality available for telemedicine based on the use of 5G-based applications.

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Restrepo, Mariana, Ann Marie Huffenberger, C. William Hanson, Michael Draugelis i Krzysztof Laudanski. "Remote Monitoring of Critically-Ill Post-Surgical Patients: Lessons from a Biosensor Implementation Trial". Healthcare 9, nr 3 (18.03.2021): 343. http://dx.doi.org/10.3390/healthcare9030343.

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Biosensors represent one of the numerous promising technologies envisioned to extend healthcare delivery. In perioperative care, the healthcare delivery system can use biosensors to remotely supervise patients who would otherwise be admitted to a hospital. This novel technology has gained a foothold in healthcare with significant acceleration due to the COVID-19 pandemic. However, few studies have attempted to narrate, or systematically analyze, the process of their implementation. We performed an observational study of biosensor implementation. The data accuracy provided by the commercially available biosensors was compared to those offered by standard clinical monitoring on patients admitted to the intensive care unit/perioperative unit. Surveys were also conducted to examine the acceptance of technology by patients and medical staff. We demonstrated a significant difference in vital signs between sensors and standard monitoring which was very dependent on the measured variables. Sensors seemed to integrate into the workflow relatively quickly, with almost no reported problems. The acceptance of the biosensors was high by patients and slightly less by nurses directly involved in the patients’ care. The staff forecast a broad implementation of biosensors in approximately three to five years, yet are eager to learn more about them. Reliability considerations proved particularly troublesome in our implementation trial. Careful evaluation of sensor readiness is most likely necessary prior to system-wide implementation by each hospital to assess for data accuracy and acceptance by the staff.

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Ming, Damien K., Saylee Jangam, Sally A. N. Gowers, Richard Wilson, David M. E. Freeman, Martyn G. Boutelle, Anthony E. G. Cass, Danny O’Hare i Alison H. Holmes. "Real-time continuous measurement of lactate through a minimally invasive microneedle patch: a phase I clinical study". BMJ Innovations 8, nr 2 (28.02.2022): 87–94. http://dx.doi.org/10.1136/bmjinnov-2021-000864.

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IntroductionDetermination of blood lactate levels supports decision-making in a range of medical conditions. Invasive blood-sampling and laboratory access are often required, and measurements provide a static profile at each instance. We conducted a phase I clinical study validating performance of a microneedle patch for minimally invasive, continuous lactate measurement in healthy volunteers.MethodsFive healthy adult participants wore a solid microneedle biosensor patch on their forearms and undertook aerobic exercise for 30 min. The microneedle biosensor quantifies lactate concentrations in interstitial fluid within the dermis continuously and in real-time. Outputs were captured as sensor current and compared with lactate concentrations from venous blood and microdialysis.ResultsThe biosensor was well-tolerated. Participants generated a median peak venous lactate of 9.25 mmol/L (IQR 6.73–10.71). Microdialysate concentrations of lactate closely correlated with blood. Microneedle biosensor current followed venous lactate concentrations and dynamics, with good agreement seen in all participants. There was an estimated lag-time of 5 min (IQR −4 to 11 min) between microneedle and blood lactate measurements.ConclusionThis study provides first-in-human data on use of a minimally invasive microneedle patch for continuous lactate measurement, providing dynamic monitoring. This low-cost platform offers distinct advantages to frequent blood sampling in a wide range of clinical settings, especially where access to laboratory services is limited or blood sampling is infeasible. Implementation of this technology in healthcare settings could support personalised decision-making in a variety of hospital and community settings.Trial registration numberNCT04238611.

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Amin, Mohsin, Badr M. Abdullah, Stephen R. Wylie, Samuel J. Rowley-Neale, Craig E. Banks i Kathryn A. Whitehead. "The Voltammetric Detection of Cadaverine Using a Diamine Oxidase and Multi-Walled Carbon Nanotube Functionalised Electrochemical Biosensor". Nanomaterials 13, nr 1 (22.12.2022): 36. http://dx.doi.org/10.3390/nano13010036.

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Cadaverine is a biomolecule of major healthcare importance in periodontal disease; however, current detection methods remain inefficient. The development of an enzyme biosensor for the detection of cadaverine may provide a cheap, rapid, point-of-care alternative to traditional measurement techniques. This work developed a screen-printed biosensor (SPE) with a diamine oxidase (DAO) and multi-walled carbon nanotube (MWCNT) functionalised electrode which enabled the detection of cadaverine via cyclic voltammetry and differential pulse voltammetry. The MWCNTs were functionalised with DAO using carbodiimide crosslinking with 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide hydrochloride (EDC) and N-Hydroxysuccinimide (NHS), followed by direct covalent conjugation of the enzyme to amide bonds. Cyclic voltammetry results demonstrated a pair of distinct redox peaks for cadaverine with the C-MWCNT/DAO/EDC-NHS/GA SPE and no redox peaks using unmodified SPEs. Differential pulse voltammetry (DPV) was used to isolate the cadaverine oxidation peak and a linear concentration dependence was identified in the range of 3–150 µg/mL. The limit of detection of cadaverine using the C-MWCNT/DAO/EDC-NHS/GA SPE was 0.8 μg/mL, and the biosensor was also found to be effective when tested in artificial saliva which was used as a proof-of-concept model to increase the Technology Readiness Level (TRL) of this device. Thus, the development of a MWCNT based enzymatic biosensor for the voltammetric detection of cadaverine which was also active in the presence of artificial saliva was presented in this study.

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Części książek na temat "Healthcare technology-Biosensor"

Nelson, Bradley D., Salil Sidharthan Karipott, Samerender Nagam Hanumantharao, Smitha Rao i Keat Ghee Ong. "Battery-Free Wireless Sensors for Healthcare and Food Quality Monitoring". W Smart Biosensor Technology, 527–50. Second edition. | Boca Raton : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429429934-25.

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Sumathi V. "Wireless Sensor Network Protocols, Performance Metrics, Biosensors, and WSN in Healthcare". W Advances in Medical Technologies and Clinical Practice, 86–108. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1090-2.ch005.

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Wireless network led to the development of Wireless Sensor Networks (WSNs). A Wireless sensor network is a set of connected devices, sensors, and electronic components that can transmit the information collected from an observed field to the relevant node through wireless links. WSN has advanced many application fields. It can change any kind of technology that can modify the future lifestyle. WSNs are composed of tiny wireless computers that can sense the situation of atmosphere, process the sensor data, make a decision, and spread data to the environmental stimuli. Sensor-based technology has created several opportunities in the healthcare system, revolutionizing it in many aspects. This chapter explains in detail wireless sensor networks, their protocol, and performance metrics. The impact and role of the Biosensor in a wireless sensor network and healthcare systems are depicted. The integration of the computer engineering program into the WSNs is addressed.

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Streszczenia konferencji na temat "Healthcare technology-Biosensor"

Rai, Pratyush, Jining Xie, Vijay K. Varadan, Thang Ho i Jamie A. Hestekins. "Sensory Biofuel Cell for Self-Sustained Glucose Sensing in Healthcare Applications for Diabetes Patients". W ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13029.

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In biosensor design, sensor for blood-glucose-level detection is one of the elementary concepts. Many research groups have reported opto-electro-mechanical and biomimetic techniques for glucose sensing based on nanomaterials. (1) However, the popular commercialized techniques involve drawing blood samples and in-vitro processing. An implantable sensor requires energy source for operation with wire in-out provision for acquiring power and sending signals. Needless to say, the limitation for such a glucose sensor is alimentary rather than elementary. The problem requires innovative design to develop sustainable ensemble of bio-energy harvesting, sensing and telemetry components. The study, reported in this article, is directed towards developing a sensor-fuel cell technology with the potential of miniaturization for implants. The device design is a combination of nano-engineered composites and flexible thin film processing to achieve high density packaging. Of which, the end goal is simultaneous generation-transmission of sensory signals and production of energy.

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Almeida, T. M., M. S. Piedade, J. Germano, P. C. Lopes, L. Sousa, F. Cardoso, H. Ferreira i P. Freitas. "Measurements and modelling of a magnetoresistive biosensor". W 2006 IEEE Biomedical Circuits and Systems Conference - Healthcare Technology (BioCas). IEEE, 2006. http://dx.doi.org/10.1109/biocas.2006.4600303.

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