Gotowe bibliografie tematyczne / Medical Sensor Networks

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  2. Rozprawy doktorskie
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Gotowa bibliografia na temat „Medical Sensor Networks”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Medical Sensor Networks"

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Feng, Kai-di, Zhenzhen Wang, and Yan Yang. "Development of medical imaging sensors." International Journal of Distributed Sensor Networks 16, no. 1 (2020): 155014772090360. http://dx.doi.org/10.1177/1550147720903607.

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This review describes sensor technologies for medical imaging. Medical imaging plays an extremely important role in medical imaging, and sensor technology affects the quality of imaging results. By analyzing the research progress of sensors used in various imaging technologies, the result that sensors applied to medical imaging will gradually achieve mutual coupling between various technologies was summed up, such as the coupling of flexible electrodes and dry electrodes, in ultrasound. Photoacoustic technology and thermoacoustic technology based on technology coupled with other technologies.
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Karunakaran, Kalaivani, and Sivakumar Rajagopal. "A Novel Approach to Information Security in Medical Sensor Networks." Open Biomedical Engineering Journal 15, no. 1 (2021): 149–62. http://dx.doi.org/10.2174/1874120702115010149.

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Objective: Preservation of patient’s medical information in health care industries under Medical Sensor Networks (MSN). Methods: This paper proposes a novel key management technique known as k- secure with FBKM, which generates a robust key to allow communication between sensors present in the Body Sensor Units (BSU) and Body Central Unit (BCU). This proposed work strengthens the FBKM technique which is placed between BCU and the point accessible to medical experts at a remote place in the overall health care monitoring environment. Results: The FBKM technique has proved its success in authent
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He, Lawrence, Mark Eastburn, James Smirk, and Hong Zhao. "Smart Chemical Sensor and Biosensor Networks for Healthcare 4.0." Sensors 23, no. 12 (2023): 5754. http://dx.doi.org/10.3390/s23125754.

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Driven by technological advances from Industry 4.0, Healthcare 4.0 synthesizes medical sensors, artificial intelligence (AI), big data, the Internet of things (IoT), machine learning, and augmented reality (AR) to transform the healthcare sector. Healthcare 4.0 creates a smart health network by connecting patients, medical devices, hospitals, clinics, medical suppliers, and other healthcare-related components. Body chemical sensor and biosensor networks (BSNs) provide the necessary platform for Healthcare 4.0 to collect various medical data from patients. BSN is the foundation of Healthcare 4.
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Bollmeyer, Christian, Mathias Pelka, Hartmut Gehring, and Horst Hellbrück. "Wireless medical sensors – context, robustness and safety." Current Directions in Biomedical Engineering 1, no. 1 (2015): 349–52. http://dx.doi.org/10.1515/cdbme-2015-0086.

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AbstractWireless medical sensors are an emerging technology. Wireless sensors form networks and are placed in an unknown environment. For indoor scenarios context detection of medical sensors, e.g. removal of sensors from a specific room, is important. Current algorithms for context detection of wireless sensors are based on RF signals, but RF signal propagation and room location show only a weak correlation. Recent approaches with RSSI-measurements are based on prior fingerprinting and therefore costly. In our approach, we equip wireless sensor nodes with a barometric sensor to measure pressu
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Vervečka, Martynas. "SENSOR NETWORK DATA FUSION METHODS." Mokslas - Lietuvos ateitis 2, no. 1 (2010): 50–53. http://dx.doi.org/10.3846/mla.2010.011.

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Sensor network data fusion is widely used in warfare, in areas such as automatic target recognition, battlefield surveillance, automatic vehicle control, multiple target surveillance, etc. Non-military use example are: medical equipment status monitoring, intelligent home. The paper describes sensor networks topologies, sensor network advantages against the isolated sensors, most common network topologies, their advantages and disadvantages.
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Romanov, Volodymyr, Igor Galelyuka, Oleksandr Voronenko, Oleksandra Kovyrova, Оzar Mintser, and Tatyana Pyatchanina. "Wireless Sensor Networks with Elements of Artificial Intelligence for Medicine." Information Theories and Applications 28, no. 2 (2021): 139–56. http://dx.doi.org/10.54521/ijita28-02-p03.

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The integrated digitalization of medicine, the use of the AIIoT (Artificial Intelligence IoT), and networks of medical wireless sensors offers new opportunities to remotely support the quality of life of chronically ill patients, the elderly, post-corona pandemic people and athletes and professionals with heavy physical or mental workloads. Wireless sensor networks and computer remote means of maintaining quality of life include smart wearable medical sensors and analog interface. The sensors are intended to monitor heart rate, respiration and blood pressure, determine skin moisture, patient's
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Rathod, Kalyani, Ketan Bhole, Shivani Kachare, Purva Jadhav, and Prof A. A. Bhise. "Elderly Fall Detection Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26449.

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Fall detection is a critical application within the realms of healthcare and eldercare, with the primary objective of promptly identifying and notifying caregivers or medical professionals when a fall occurs. This paper introduces a machine learning-centric approach to fall detection, harnessing sensor data and advanced algorithms to enhance precision and responsiveness. The system employs an array of sensors, such as accelerometers, gyroscopes, and depth cameras, for continuous monitoring of user movements. These sensor data undergo processing via machine learning algorithms, encompassing dee
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Yang, Yang, Qian Liu, Zhipeng Gao, Xuesong Qiu, and Luoming Meng. "Data Fault Detection in Medical Sensor Networks." Sensors 15, no. 3 (2015): 6066–90. http://dx.doi.org/10.3390/s150306066.

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Salem, Osman, Yaning Liu, and Ahmed Mehaoua. "Anomaly Detection in Medical Wireless Sensor Networks." Journal of Computing Science and Engineering 7, no. 4 (2013): 272–84. http://dx.doi.org/10.5626/jcse.2013.7.4.272.

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Messier, G. G., and I. G. Finvers. "Traffic models for medical wireless sensor networks." IEEE Communications Letters 11, no. 1 (2007): 13–15. http://dx.doi.org/10.1109/lcomm.2007.061291.

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Rozprawy doktorskie na temat "Medical Sensor Networks"

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Hansen, Mats Skogholt, and Stig Støa. "Practical Evaluation of IEEE 802.15.4/ZigBee Medical Sensor Networks." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9319.

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<p>In clinical diagnostics and treatment of patients, several biological parameters have to be measured and monitored. Typical physiological parameters important to the medical staff are blood gas, invasive blood pressures, pulse rate, temperature, electrocardiogram (ECG), etc. Introducing a wireless network system for the sensor data results in greater flexibility both for the patient and for the medical staff. Wireless connections make use of digital data, which along with other digital data may enable novel clinical as well as logistics applications. With the use of computers or PDA’s at ot
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Rault, Tifenn. "Energy-efficiency in wireless sensor networks." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2228/document.

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Dans cette thèse, nous avons proposé des solutions originales et performantes pour l’économie d’énergie dans les réseaux de capteurs sans fil (RCSF). Ces contributions s'organisent autour de deux grands axes : les réseaux de capteurs génériques et les réseaux de capteurs sans fil dédiés aux applications santé. Dans un premier temps, nous avons réalisé un état-de-l’art des mécanismes d'économie d’énergie pour les RCSF. Nous avons ensuite proposé deux solutions originales : la première optimise le déplacement d’une station de base, ainsi que la façon dont les données sont stockées dans les capte
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Jiang, Meng. "Tele-cardiology sensor networks for remote ECG monitoring /." Online version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/2800.

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Celentano, Laura J. "RFID-assisted wireless sensor networks for cardiac tele-healthcare /." Online version of thesis, 2007. http://hdl.handle.net/1850/5719.

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Li, Kejia. "Custom biomedical sensors for application in wireless body area networks and medical device integration frameworks." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/14632.

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Doctor of Philosophy<br>Department of Electrical & Computer Engineering<br>Steve Warren<br>The U.S. health care system is one of the most advanced and costly systems in the world. The health services supply/demand gap is being enlarged by the aging population coupled with shortages in the traditional health care workforce and new information technology workers. This will not change if the current medical system adheres to the traditional hospital-centered model. One promising solution is to incorporate patient-centered, point-of-care test systems that promote proactive and preventive care by u
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Samachisa, Alexandru. "Investigating the effects of an on-chip pre-classifier on wireless ECG monitoring /." Online version of thesis, 2007. http://hdl.handle.net/1850/4820.

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Chen, Wei-Chuan. "A Multi-Channel, Impedance-Matching, Wireless, Passive Recorder for Medical Applications." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555661316375242.

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Stucki, Eric Thomas. "Medium Access Control and Networking Protocols for the Intra-Body Network." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1182.pdf.

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Monsalve, Mauricio Nivaldo Andres. "Computational applications to hospital epidemiology." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1886.

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Healthcare associated infections are a considerable burden to the health care system. The affected patients have their prognosis worsened and demand more resources from hospitals. Furthermore, the bacteria causing these infections are becoming increasingly resistant to antibiotics while also becoming more deadly and contagious. Contributing with knowledge for stopping these infections is, therefore, important. This thesis reports on two projects centered on data collected at the University of Iowa Hospital and Clinics. The first project consisted in analyzing data collected by sensors that rep
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Okcan, Alper. "Automatic Acquisition And Use Of Multimodal Medical Device Observations Based On Iso/ieee 11073 And Hl7 Standards." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608462/index.pdf.

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The delivery of quality healthcare to all citizens at reasonable costs is an important challenge. With the increase in the aging population, the costs of managing chronic diseases increase. Today, healthcare services tend to shift from recovery to prevention. Remote healthcare monitoring is crucial for prevention and monitoring of chronic diseases since they require continuous and long-term monitoring. The advances in networking, mobile communications and medical device technologies offer a great potential to realize remote healthcare monitoring. However, seamless integration of multi-modal me
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Książki na temat "Medical Sensor Networks"

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Parker, Philip M., and James N. Parker. Ganglions: A medical dictionary, bibliography, and annotated research guide to Internet references. ICON Health Publications, 2004.

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He, Bin. Neural Engineering. 2nd ed. Springer US, 2013.

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Volmar, Axel, and Kyle Stine, eds. Media Infrastructures and the Politics of Digital Time. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463727426.

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In a crucial sense, all machines are time machines. The essays in Media Infrastructures and the Politics of Digital Time develop the central concept of hardwired temporalities to consider how technical networks hardwire and rewire patterns of time. Digital media introduce new temporal patterns in their features of instant communication, synchronous collaboration, intricate time management, and continually improved speed. They construct temporal infrastructures that affect the rhythms of lived experience and shape social relations and practices of cooperation. Interdisciplinary in method and in
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Palaniswami, Marimuthu, Rezaul Begg, and Daniel Tze Huei Lai. Healthcare Sensor Networks. Taylor & Francis Group, 2019.

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Chen, Bor-rong. Systems challenges for medical sensor networks. 2009.

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Al-Turjman, Fadi, ed. Wireless Medical Sensor Networks for IoT-based eHealth. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbhe026e.

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Al-Turjman, Fadi. Wireless Medical Sensor Networks for IoT-Based EHealth. Institution of Engineering & Technology, 2020.

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Lee, Shuenn-Yuh, Ming-Chun Liang, and Cheng-Han Hsieh. Wireless, Implantable SoCs for Body Sensor Networks. Springer, 2021.

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Palaniswami, Marimuthu, Rezaul Begg, and Daniel Tze Huei Lai. Healthcare Sensor Networks: Challenges Toward Practical Implementation. Taylor & Francis Group, 2016.

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Palaniswami, Marimuthu, Rezaul Begg, and Daniel Lai. Healthcare Sensor Networks: Challenges Toward Practical Implementation. Taylor & Francis Group, 2012.

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Części książek na temat "Medical Sensor Networks"

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Chehri, Abdellah, and Hussein Mouftah. "Performance Analysis of UWB Body Sensor Networks for Medical Applications." In Ad Hoc Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17994-5_32.

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Stanković, Stanislava. "Medical Applications of Wireless Sensor Networks: Who-Did-What." In Computer Communications and Networks. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-510-1_8.

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Salem, Osman, Alexey Guerassimov, Ahmed Mehaoua, Anthony Marcus, and Borko Furht. "Anomaly Detection Scheme for Medical Wireless Sensor Networks." In Handbook of Medical and Healthcare Technologies. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8495-0_8.

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Wu, Wei-Chen, and Horng-Twu Liaw. "User Authentication Mechanism on Wireless Medical Sensor Networks." In Lecture Notes in Electrical Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0539-8_87.

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Baldus, H., K. Klabunde, and G. Müsch. "Reliable Set-Up of Medical Body-Sensor Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24606-0_24.

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Arbi, Tarak, and Benoit Geller. "Multi-standard Receiver for Medical IoT Sensor Networks." In Challenges of the Internet of Things. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119549765.ch5.

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Wang, Xinguo, Run Hu, Lutao Wang, Dongrui Gao, Yuyuan Su, and Bin Yang. "An Efficient Network-Wide Reliable Broadcast Protocol for Medical Sensor Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71061-3_3.

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Stolbova, Anastasya, Sergey Prokhorov, Andrey Kuzmin, and Anton Ivaschenko. "Wavelet-Based Arrhythmia Detection in Medical Diagnostics Sensor Networks." In Recent Research in Control Engineering and Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12072-6_38.

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Penubarthi, Chaitanya, Myuhng-Joo Kim, and Insup Lee. "Security in Sensor Networks for Medical Systems Torso Architecture." In Computational Science and Its Applications – ICCSA 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424758_17.

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Subramanian, Sujay Krishnan, and Soumendu Sinha. "Design and Investigation of PMUT Sensor for Medical Imaging Applications." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0483-9_12.

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Streszczenia konferencji na temat "Medical Sensor Networks"

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Jiang, Sen, Chuhui Liu, Ahmet Y. Demirbas, Wei Sun, and Wenyao Xu. "AudioPupil: A Low-Cost Embedded Medical Device for Hearing Disorder Screening." In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE, 2024. https://doi.org/10.1109/bsn63547.2024.10780639.

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Kaur, Harminder, and Sharvan Kumar Pahuja. "MAC Protocols for Wireless Body Sensor Network." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.33.

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Wireless Body Area Networks, also known as the Wireless Body Sensor Networks, provides the monitoring of the health parameters in remote areas and where the medical facility is not available. Wireless Body Sensor Networks contains the body or placement of the sensors on body for measuring the medical and non-medical parameters. These networks share the wireless medium for the transmission of the data from one place to another. So the design of Medium Access Control is a challenging task for the WBSNs due to wireless media for less energy consumption and mobility. Various MAC protocols are desi
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Shnayder, Victor, Bor-rong Chen, Konrad Lorincz, Thaddeus R. F. Fulford Jones, and Matt Welsh. "Sensor networks for medical care." In the 3rd international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1098918.1098979.

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Garcia Morchon, Oscar, and Heribert Baldus. "Efficient distributed security for wireless medical sensor networks." In 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2008. http://dx.doi.org/10.1109/issnip.2008.4761995.

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Garcia-Morchon, Oscar, Thomas Falck, Tobias Heer, and Klaus Wehrle. "Security for Pervasive Medical Sensor Networks." In 6th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. IEEE, 2009. http://dx.doi.org/10.4108/icst.mobiquitous2009.6832.

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Malasri, Kriangsiri, and Lan Wang. "Addressing security in medical sensor networks." In the 1st ACM SIGMOBILE international workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1248054.1248058.

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Loh, P. K. K., and L. Allan. "Medical Informatics System with Wireless Sensor Network-enabled for Hospitals." In 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. IEEE, 2005. http://dx.doi.org/10.1109/issnip.2005.1595590.

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Nourizadeh, S., C. Deroussent, Y. Q. Song, and J. P. Thomesse. "Medical and Home Automation Sensor Networks for Senior Citizens Telehomecare." In 2009 IEEE International Conference on Communications Workshops. IEEE, 2009. http://dx.doi.org/10.1109/iccw.2009.5208093.

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Sarikaya, Behcet, M. Abdul Alim, and Siamak Rezaei. "Integrating wireless EEGs into medical sensor networks." In Proceeding of the 2006 international conference. ACM Press, 2006. http://dx.doi.org/10.1145/1143549.1143823.

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Sghaier, Nouha, Abdelhamid Mellouk, Brice Augustin, et al. "Wireless Sensor Networks for medical care services." In 2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwcmc.2011.5982596.

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Raporty organizacyjne na temat "Medical Sensor Networks"

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Kouri, Tina. Exploiting Social Media Sensor Networks through Novel Data Fusion Techniques. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1431510.

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Mariač, Deividas, Naomi Manuela Ngabo Noumen, Abdullah Al Monsur, et al. Impactful Nature of Social Media on The Movement of Democracy in Vilnius of Lithuania: A Potential Merit and A Looming Threat to Democracy. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.4.7.

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This study examines how digital media communication impacts the democratic political movement in Vilnius by conducting an in-depth analysis of digital platforms and the perspectives of Vilnius residents. It aims to consider both sides of the issue to ensure a balanced and equitable approach. By using 140 valid responses from the online survey with 5 in-depth interviews that we have conducted and collected from the residents of Vilnius, we can examine the impactful relationship between the phenomena of social network and democracy in Vilnius. From the results, it shows that their relationship i
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Yatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.

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The article investigates functional techniques of extralinguistic expression in multimedia texts; the effectiveness of figurative expressions as a reaction to modern events in Ukraine and their influence on the formation of public opinion is shown. Publications of journalists, broadcasts of media resonators, experts, public figures, politicians, readers are analyzed. The language of the media plays a key role in shaping the worldview of the young political elite in the first place. The essence of each statement is a focused thought that reacts to events in the world or in one’s own country. Th
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Semenets, Olena. Метафора «війна проти коронавірусу» в українському та зарубіжному медійному просторі (2020–2021 рр.). Ivan Franko National University of Lviv, 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11725.

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The main objective of the study is to reveal the specifics of the functioning of the metaphor “war against coronavirus” in Ukrainian mediatized discursive practices of 2020-2021 compared to the trends of using this metaphor in the media environment of Western countries. A research methodology is based on the approach of critical discourse analysis. The work also takes into account the results of the study of the «war against coronavirus» metaphor, conducted using the materials of public discourses in Italy, Bulgaria, and Greece. A comparative analysis of the specifics of the functioning of thi
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Stubbs-Richardson, Megan, Lauren Etheredge, Tockie Hemphill, Zaccheus Ahonle, and Danielle Nadorff. State of the States: Blueprints for Building Age-Friendly Futures. Mississippi State University, 2025. https://doi.org/10.54718/ptyt9801.

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Executive Summary: Mississippi’s aging population growth mirrors national trends and suggests a need to establish equitable and sustainable age-friendly policies and programs. This report offers an overview of the best practices from age-friendly states, which can be adapted to meet unique challenges and opportunities for Mississippi’s aging population. We highlight five age-friendly policy areas that can improve Mississippi’s livability. • Aging in Place: Best practices from California, Florida, and Massachusetts can be adapted to promote aging in place through structural changes to homes via
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Raymond, Kara, Laura Palacios, Cheryl McIntyre, and Evan Gwilliam. Status of climate and water resources at Saguaro National Park: Water year 2019. Edited by Alice Wondrak Biel. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2288717.

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Climate and hydrology are major drivers of ecosystems. They dramatically shape ecosystem structure and function, particularly in arid and semi-arid ecosystems. Understanding changes in climate, groundwater, and water quality and quantity is central to assessing the condition of park biota and key cultural resources. The Sonoran Desert Network collects data on climate, groundwater, and surface water at 11 National Park Service units in south-ern Arizona and New Mexico. This report provides an integrated look at climate, groundwater, and springs conditions at Saguaro National Park (NP) during wa
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