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Journal articles on the topic 'Health monitoring applications'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

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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2

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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4

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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6

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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7

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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8

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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11

Annamdas, Venu Gopal Madhav, Suresh Bhalla, and Chee Kiong Soh. "Applications of structural health monitoring technology in Asia." Structural Health Monitoring 16, no. 3 (June 22, 2016): 324–46. http://dx.doi.org/10.1177/1475921716653278.

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Asia is the largest and most populous continent in the world with over 45 million square kilometers of land mass and 4.5 billion people. Asia is characterized by numerous densely populated cities. Structural health monitoring is a non-issue for the underdeveloped countries where basic amenities of survival are more important. However, structural health monitoring is crucial for the developing countries, especially those with densely populated cities like Singapore, Mumbai, and Hong Kong, where any infrastructural failure could be devastating to their society and economy. Structural health monitoring of mechanical and aerospace structures is mostly similar worldwide, but of civil infrastructures could vary due to socio-economic, cultural, geographical, and governmental reasons across countries, and even across states within the same country. This article, which is an enhancement to the keynote paper of the International Workshop on Structural Health Monitoring (IWSHM 2015, Stanford University, USA), presents some of the better known structural health monitoring studies of key civil infrastructures in a few Asian countries. In addition, the authors’ research and applications of structural health monitoring technology carried out at the Nanyang Technological University for civil infrastructures in Singapore are presented. At the end, the authors also discuss recent work on energy harvesting using piezoelectric transducers as an alternative to wired structural health monitoring for automated and self-powered structural health monitoring.

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Holloway, Tracey, Daegan Miller, Susan Anenberg, Minghui Diao, Bryan Duncan, Arlene M. Fiore, Daven K. Henze, et al. "Satellite Monitoring for Air Quality and Health." Annual Review of Biomedical Data Science 4, no. 1 (July 20, 2021): 417–47. http://dx.doi.org/10.1146/annurev-biodatasci-110920-093120.

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Data from satellite instruments provide estimates of gas and particle levels relevant to human health, even pollutants invisible to the human eye. However, the successful interpretation of satellite data requires an understanding of how satellites relate to other data sources, as well as factors affecting their application to health challenges. Drawing from the expertise and experience of the 2016–2020 NASA HAQAST (Health and Air Quality Applied Sciences Team), we present a review of satellite data for air quality and health applications. We include a discussion of satellite data for epidemiological studies and health impact assessments, as well as the use of satellite data to evaluate air quality trends, support air quality regulation, characterize smoke from wildfires, and quantify emission sources. The primary advantage of satellite data compared to in situ measurements, e.g., from air quality monitoring stations, is their spatial coverage. Satellite data can reveal where pollution levels are highest around the world, how levels have changed over daily to decadal periods, and where pollutants are transported from urban to global scales. To date, air quality and health applications have primarily utilized satellite observations and satellite-derived products relevant to near-surface particulate matter <2.5 μm in diameter (PM2.5) and nitrogen dioxide (NO2). Health and air quality communities have grown increasingly engaged in the use of satellite data, and this trend is expected to continue. From health researchers to air quality managers, and from global applications to community impacts, satellite data are transforming the way air pollution exposure is evaluated.

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Cawley, Peter. "Structural health monitoring: Closing the gap between research and industrial deployment." Structural Health Monitoring 17, no. 5 (January 29, 2018): 1225–44. http://dx.doi.org/10.1177/1475921717750047.

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There has been a large volume of research on structural health monitoring since the 1970s but this research effort has yielded relatively few routine industrial applications. Structural health monitoring can include applications on very different structures with very different requirements; this article splits the subject into four broad categories: rotating machine condition monitoring, global monitoring of large structures (structural identification), large area monitoring where the area covered is part of a larger structure, and local monitoring. The capabilities and potential applications of techniques in each category are discussed. Condition monitoring of rotating machine components is very different to the other categories since it is not strictly concerned with structural health. However, it is often linked with structural health monitoring and is a relatively mature field with many routine applications, so useful lessons can be read across to mainstream structural health monitoring where there are many fewer industrial applications. Reasons for the slow transfer from research to practical application of structural health monitoring include lack of attention to the business case for monitoring, insufficient attention to how the large data flows will be handled and the lack of performance validation on real structures in industrial environments. These issues are discussed and ways forward proposed; it is concluded that given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.

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14

Ni, Na, Ling Zhang, Yin Wang, Lixin Shi, and Chi Zhang. "Transparent capacitive sensor for structural health monitoring applications." International Journal of Applied Electromagnetics and Mechanics 52, no. 3-4 (December 29, 2016): 1577–84. http://dx.doi.org/10.3233/jae-162215.

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15

Dhanabalan, Shanmuga Sundar, Sitharthan R, Karthikeyan Madurakavi, Arun Thirumurugan, Rajesh M, Sivanantha Raja Avaninathan, and Marcos Flores Carrasco. "Flexible compact system for wearable health monitoring applications." Computers and Electrical Engineering 102 (September 2022): 108130. http://dx.doi.org/10.1016/j.compeleceng.2022.108130.

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16

Perera, Ricardo, Alberto Pérez, Marta García-Diéguez, and José Zapico-Valle. "Active Wireless System for Structural Health Monitoring Applications." Sensors 17, no. 12 (December 11, 2017): 2880. http://dx.doi.org/10.3390/s17122880.

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17

Hao, Yang, and Robert Foster. "Wireless body sensor networks for health-monitoring applications." Physiological Measurement 29, no. 11 (October 9, 2008): R27—R56. http://dx.doi.org/10.1088/0967-3334/29/11/r01.

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18

Fritzen, Claus Peter. "Vibration-Based Structural Health Monitoring – Concepts and Applications." Key Engineering Materials 293-294 (September 2005): 3–20. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.3.

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This paper gives an overview on the current status of vibration-based methods for Structural Health Monitoring. All these methods have in common that a structural change due to a damage results in a more or less pronounced change of the dynamic behavior. The use of modal information is discussed, as well as the direct use of forced and ambient vibrations. From this information, different strategies can be deduced which depend on the type of measurement data (time/frequency domain) but also on the frequency spectrum. The incorporation of actuation and sensing devices into the structure leads to modern concepts of Smart Structural Health Monitoring. Examples from civil and aerospace engineering show the applicability of these methods.

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19

de Medeiros, Ricardo, Hernani M. R. Lopes, Rui M. Guedes, Mário A. P. Vaz, Dirk Vandepitte, and Volnei Tita. "A New Methodology for Structural Health Monitoring Applications." Procedia Engineering 114 (2015): 54–61. http://dx.doi.org/10.1016/j.proeng.2015.08.036.

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20

Bao, Yue Quan, Hui Li, and Jin Ping Ou. "Applications of Compressive Sensing Technique in Structural Health Monitoring." Key Engineering Materials 558 (June 2013): 561–66. http://dx.doi.org/10.4028/www.scientific.net/kem.558.561.

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Compressive sampling also called compressive sensing (CS) is a emerging information theory proposed recently. CS provides a new sampling theory to reduce data acquisition, which says that sparse or compressible signals can be exactly reconstructed from highly incomplete random sets of measurements. CS broke through the restrictions of the Shannon theorem on the sampling frequency, which can use fewer sampling resources, higher sampling rate and lower hardware and software complexity to obtain the measurements. Not only for data acquisition, CS also can be used to find the sparse solutions for linear algebraic equation problem. In this paper, the applications of CS for SHM are presented including acceleration data acquisition, lost data recovery for wireless sensor and moving loads distribution identification. The investigation results show that CS has good application potential in SHM.

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21

Buethe, Inka, Peter Kraemer, and Claus Peter Fritzen. "Applications of Self-Organizing Maps in Structural Health Monitoring." Key Engineering Materials 518 (July 2012): 37–46. http://dx.doi.org/10.4028/www.scientific.net/kem.518.37.

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The Structural Health Monitoring process includes several steps like feature extraction and probabilistic decision making, which need some form of data fusion and information condensation. These take place after data acquisition and before being able to decide, if a monitored structure has faced damage. Although feature selection is an important step, the processing and suitable preparation of these data are significant, influencing the potential of decision making in various ways. With Self-Organizing Maps (SOM) a multi-purpose instrument for these tasks of pattern recognition and data interpretation is presented here. Self-Organizing Maps belong to the group of artificial neural networks and by using the special map character provide the opportunity of additional visualization. Especially when monitoring a structure over a long period of time, environmental changes often occur, which can mask the effects of damage on the dynamic behavior of the structures. As one potential application of SOM, the possibility of distinguishing between environmental changes and damage of the structure is shown. In this application a self-organizing network is trained with data of the undamaged structure and via calculation of the distance to the map a damage indicator is developed. Moreover, the distinction between different damage modes of piezoelectric sensors is presented using SOM as a tool of pattern recognition and visualization. This application uses data recorded from different damage modes extracted from one specimen of a piezoelectric element. The trained network can be compared with other piezoelectric elements mounted in a similar way to be able to detect possible sensor damage. This helps avoiding false alarms even under changing environmental conditions. Both applications have been successfully used to analyze experimental data on coupon level showing the applicability of the presented concepts.

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22

Qing, Xinlin, Wenzhuo Li, Yishou Wang, and Hu Sun. "Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications." Sensors 19, no. 3 (January 28, 2019): 545. http://dx.doi.org/10.3390/s19030545.

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Structural health monitoring (SHM) is being widely evaluated by the aerospace industry as a method to improve the safety and reliability of aircraft structures and also reduce operational cost. Built-in sensor networks on an aircraft structure can provide crucial information regarding the condition, damage state and/or service environment of the structure. Among the various types of transducers used for SHM, piezoelectric materials are widely used because they can be employed as either actuators or sensors due to their piezoelectric effect and vice versa. This paper provides a brief overview of piezoelectric transducer-based SHM system technology developed for aircraft applications in the past two decades. The requirements for practical implementation and use of structural health monitoring systems in aircraft application are then introduced. State-of-the-art techniques for solving some practical issues, such as sensor network integration, scalability to large structures, reliability and effect of environmental conditions, robust damage detection and quantification are discussed. Development trend of SHM technology is also discussed.

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23

Manirabona, Audace, Lamia Chaari Fourati, and Saâdi Boudjit. "Investigation on Healthcare Monitoring Systems." International Journal of E-Health and Medical Communications 8, no. 1 (January 2017): 1–18. http://dx.doi.org/10.4018/ijehmc.2017010101.

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Wireless Body Area Networks (WBANs) services and applications have emerged as one of the most attractive research areas and have become more and more widespread especially for healthcare use. Lots of researches have been carried out to specify innovative services and applications using healthcare monitoring systems (HMS). However, the WBAN requirements vary from one application/service to another. Furthermore, HMSs are expected to reduce healthcare costs by enabling the continuous remote monitoring of patients' health even during their daily activities and thus reduce the frequency of the patient's visits at hospital. From a medical point of view, the WBAN will emerge as a key technology by providing real-time health monitoring and diagnosis of many life-threatening diseases. In this paper, the authors outline the WBAN applications and services requirements for healthcare and review them with emphasis on their strength, limitations and design challenges. In addition, HMS architecture and its applications are deeply studied and some case studies are discussed.

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24

de Vries, Johanna I. P. "Fetal brain monitoring: Future applications." Seminars in Fetal and Neonatal Medicine 11, no. 6 (December 2006): 423–29. http://dx.doi.org/10.1016/j.siny.2006.07.002.

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25

Lisowski, Mateusz, and Tadeusz Uhl. "RFID Based Sensing for Structural Health Monitoring." Key Engineering Materials 569-570 (July 2013): 1178–85. http://dx.doi.org/10.4028/www.scientific.net/kem.569-570.1178.

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RFID is a rapidly developing technology of wireless communication and identification mostly used in supply chain systems, logistic and access control. Nowadays attempts to transfer this technology to other applications are carried out. This paper presents review of global researches performed last years, on application of RFID technology to tasks connected with wireless passive sensing in Structural Health Monitoring, with additional overview of works conducted in this subject by the authors. Sensors based on this technology require neither battery nor wire. It could be interrogated from distance, its lifetime is almost unlimited. Investigations, focused both on using RFID transponder as a sensing element, as well as, using antenna as a energy harvesting part that could power the sensor circuit, are mentioned. Performed studies show, that despite problems connected with using high frequencies, described wireless sensors should be useful for SHM tasks.

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26

Staszewski, Wiesław J., and Amy N. Robertson. "Time–frequency and time–scale analyses for structural health monitoring." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1851 (December 14, 2006): 449–77. http://dx.doi.org/10.1098/rsta.2006.1936.

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Signal processing is one of the most important elements of structural health monitoring. This paper documents applications of time-variant analysis for damage detection. Two main approaches, the time–frequency and the time–scale analyses are discussed. The discussion is illustrated by application examples relevant to damage detection.

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27

K. F., FARIAS, SILVA R. M., SILVA D. M., SILVA A. F., OLIVEIRA E. A. S., BALLIANO T. L., NASCIMENTO C. A., et al. "Technological Prospection of Mobile Applications for Women's Health Monitoring." Revista Gestão Inovação e Tecnologias 11, no. 1 (January 14, 2021): 5823–34. http://dx.doi.org/10.7198/geintec.v11i1.1208.

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28

Natarajan, Prabhu, Kailas Patil, and Shilpa Sonawani. "Biomedical Signal Processing For Health Monitoring Applications: A Review." International Journal of Applied Systemic Studies 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijass.2021.10045116.

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29

Lugoda, Pasindu, Theodore Hughes-Riley, Carlos Oliveira, Rob Morris, and Tilak Dias. "Developing Novel Temperature Sensing Garments for Health Monitoring Applications." Fibers 6, no. 3 (July 10, 2018): 46. http://dx.doi.org/10.3390/fib6030046.

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30

Hunter, G. W., J. C. Xu, A. M. Biaggi-Labiosa, D. Laskowski, P. K. Dutta, S. P. Mondal, B. J. Ward, et al. "Smart sensor systems for human health breath monitoring applications." Journal of Breath Research 5, no. 3 (September 1, 2011): 037111. http://dx.doi.org/10.1088/1752-7155/5/3/037111.

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31

Li, Wenda, Bo Tan, and Robert Piechocki. "Passive Radar for Opportunistic Monitoring in E-Health Applications." IEEE Journal of Translational Engineering in Health and Medicine 6 (2018): 1–10. http://dx.doi.org/10.1109/jtehm.2018.2791609.

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32

Karatas, Cansu, Boray Degerliyurt, Yavuz Yaman, and Melin Sahin. "Fibre Bragg grating sensor applications for structural health monitoring." Aircraft Engineering and Aerospace Technology 92, no. 3 (December 24, 2018): 355–67. http://dx.doi.org/10.1108/aeat-11-2017-0255.

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Purpose Structural health monitoring (SHM) has become an attractive subject in aerospace engineering field considering the opportunity to avoid catastrophic failures by detecting damage in advance and to reduce maintenance costs. Fibre Bragg Grating (FBG) sensors are denoted as one of the most promising sensors for SHM applications as they are lightweight, immune to electromagnetic effects and able to be embedded between the layers of composite structures. The purpose of this paper is to research on and demonstrate the feasibility of FBG sensors for SHM of composite structures. Design/methodology/approach Applications on thin composite beams intended for SHM studies are presented. The sensor system, which includes FBG sensors and related interrogator system, and manufacturing of the beams with embedded sensors, are detailed. Static tension and torsion tests are conducted to verify the effectiveness of the system. Strain analysis results obtained from the tests are compared with the ones obtained from the finite element analyses conducted using ABAQUS® software. In addition, the comparison between the data obtained from the FBG sensors and from the strain gauges is made by also considering the noise content. Finally, fatigue test under torsion load is conducted to observe the durability of FBG sensors. Findings The results demonstrated that FBG sensors are feasible for SHM of composite structures as the strain data are accurate and less noisy compared to that obtained from the strain gauges. Furthermore, the convenience of obtaining reliable data between the layers of a composite structure using embedded FBG sensors is observed. Practical implications Observing the advantages of the FBG sensors for strain measurement will promote using FBG sensors for damage detection related to the SHM applications. Originality/value This paper presents applications of FBG sensors on thin composite beams, which reveal the suitability of FBG sensors for SHM of lightweight composite structures.

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Zhao, Rui, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, and Robert X. Gao. "Deep learning and its applications to machine health monitoring." Mechanical Systems and Signal Processing 115 (January 2019): 213–37. http://dx.doi.org/10.1016/j.ymssp.2018.05.050.

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34

Bhalla, Suresh, and Chee Kiong Soh. "Structural Health Monitoring by Piezo–Impedance Transducers. II: Applications." Journal of Aerospace Engineering 17, no. 4 (October 2004): 166–75. http://dx.doi.org/10.1061/(asce)0893-1321(2004)17:4(166).

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35

Giannelli, Pietro, Andrea Bulletti, and Lorenzo Capineri. "Multifunctional Piezopolymer Film Transducer for Structural Health Monitoring Applications." IEEE Sensors Journal 17, no. 14 (July 15, 2017): 4583–86. http://dx.doi.org/10.1109/jsen.2017.2710425.

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36

Vujic, Dragoljub. "Wireless sensor networks applications in aircraft structural health monitoring." Istrazivanja i projektovanja za privredu 13, no. 2 (2015): 79–86. http://dx.doi.org/10.5937/jaes13-7388.

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37

Kesavan, K., K. Ravisankar, S. Parivallal, and P. Sreeshylam. "Applications of fiber optic sensors for structural health monitoring." Smart Structures and Systems 1, no. 4 (October 25, 2005): 355–68. http://dx.doi.org/10.12989/sss.2005.1.4.355.

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38

Asutkar, Supriya, Mallikarjuna Korrapati, Dipti Gupta, and Siddharth Tallur. "Novel Elastomer Vibration Sensor for Machine Health-Monitoring Applications." IEEE Sensors Letters 4, no. 11 (November 2020): 1–4. http://dx.doi.org/10.1109/lsens.2020.3030804.

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PARK, Gyuhae, Kazuhisa KABEYA, Harley H. CUDNEY, and Daniel J. INMAN. "Impedance-Based Structural Health Monitoring for Temperature Varying Applications." JSME International Journal Series A 42, no. 2 (1999): 249–58. http://dx.doi.org/10.1299/jsmea.42.249.

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40

Musa, Idris, and John Hedley. "RF Line-Element Filters for Structural-Health-Monitoring Applications." Sensors 22, no. 22 (November 18, 2022): 8908. http://dx.doi.org/10.3390/s22228908.

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RF-based sensors are an attractive option for structural-health-monitoring applications, due to the ease of access of interrogating such sensors. However, in most work, only scalar quantities are measured, giving no indication of the direction of strain or displacements. In this paper, a novel approach to displacement sensing is presented, in which relative displacements are tracked in all three degrees of freedom. The sensor design is based on a pair of coupled line-element filters whose frequency-dependent forward-power transfer is sensitive to relative positions between the two filters. Multiple features in the S21 parameter are used to differentiate displacement direction. Gold-based devices were fabricated on quartz substrates, and characterised through vector-network-analyzer measurements. Results demonstrate uncoupled sensitivities of −1.41 MHz/mm, −1.74 MHz/mm and 12.23 MHz/mm for x, y and z displacements, respectively.

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41

Langford, Richard M. "Clinical applications of cerebral monitoring." Computer Methods and Programs in Biomedicine 51, no. 1-2 (October 1996): 29–33. http://dx.doi.org/10.1016/0169-2607(96)01760-9.

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42

Zschiesche, Kira. "Image Assisted Total Stations for Structural Health Monitoring—A Review." Geomatics 2, no. 1 (December 23, 2021): 1–16. http://dx.doi.org/10.3390/geomatics2010001.

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Measuring structures and its documentation is one of the tasks of engineering geodesy. Structural health monitoring (SHM) is defined as a periodic or continuous method to provide information about the condition of the construction through the determination of measurement data and their analysis. In SHM, wide varieties of sensors are used for data acquisition. In the following, the focus is on the application of image assisted total stations (IATS). The combination of tacheometry and photogrammetric measurement offers high flexibility and precision. Different approaches of automated detecting and matching whose applications have been tested in practice are briefly explained. A distinction is made between built-in cameras (commercial) and external camera systems (prototypes). Various successful applications of IATS in the field of SHM are presented and explained.

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El-Sherif, M. A. "Smart Structures and Intelligent Systems for Health Monitoring and Diagnostics." Applied Bionics and Biomechanics 2, no. 3-4 (2005): 161–70. http://dx.doi.org/10.1155/2005/303095.

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“Smart and intelligent” structures are defined as structures capable of monitoring their own “health” condition and structural behavior, such structures are capable of sensing external environmental conditions, making decisions, and sending the information to other locations. Available conventional devices and systems are not technologically mature for such applications. New classes of miniature devices and networking systems are urgently needed for such applications. In this paper, two examples of the successful work achieved so far, in biomedical application of smart structures, are presented. The first one is based on the development of a smart bone fixation device for rehabilitation and treatment. This device includes a smart composite bar that can sense physical stress applied to the fractured bones, and send the information to the patient's physician remotely. The second is on the development of smart fabrics for many applications including health monitoring and diagnostics. Successful development of such smart fabrics with embedded fiber optic sensors and networks is mainly dependent on the development of the proper miniature sensor technology, and on the integration of these sensors into textile structures. The developed smart structures will be discussed and samples of the results will be presented.

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Rao, Dr G. Manmadha. "IoT Based Health Monitoring System." International Journal of Engineering and Advanced Technology 11, no. 5 (June 30, 2022): 138–43. http://dx.doi.org/10.35940/ijeat.e3616.0611522.

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The brand new outbreak of Coronavirus poses a primary threat and has been declared a global public fitness emergency. entire world is trying to stop the virus but no efficient device and approach is there to govern it. Tracking a patient's fitness remotely is genuinely essential, especially for patients affected by a long term disease. This necessitates the creation of a single platform where consumers may monitor data in real time. This paper discusses health monitoring systems that can be implemented with market sensors and allow patients to be tracked without needing to visit a doctor. Doctors need constant updates on the patient's health- related measures such as blood pressure, heart rate, and temperature in such crucial situations. For this type of situation, an IOT-based system can provide automation that keeps doctors up to current at all times via the internet .Heart disease has become a major concern in recent decades, and many individuals have died as a result of various health issues As a result, cardiac disease must be treated with caution. This disease can be averted if the ECG signal is studied or monitored early on. So here's the deal: An AD8232 ECG Sensor and an Arduino with an ECG Graph are used to monitor the heart rate. The ARDUINO- UNO board is used as a microcontroller, and the Cloud computing concept is used in this system. In this design, we'll interface an AD8232 ECG Sensor to an Uno and use a digital plotter or the Programming IDE to observe the Ecg.

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Alzaleq, Du'a, Suboh Alkhushayni, and Austin FitzGerald. "Health tracker: data acquisition and analysis for monitoring health trends and assessing disease risk." International Journal of Engineering & Technology 10, no. 1 (February 27, 2021): 72. http://dx.doi.org/10.14419/ijet.v10i1.31370.

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This paper describes HealthTracker, a mobile health application to record, store, display, and analyze personal health data. This application allows an individual to log several types of data encompassing their personal health. HealthTracker serves as a model for both a recording and a recommending system. Its goal is to serve as a bridge for future personal health systems to build from. A person’s health information is displayed in an easy-to-understand manner but is also practical for medical professionals. Users should find the system useful and effective no matter if they use it simply or extensively. Currently, the system serves as a prototype for determining the practical applications for smart health systems running on mobile platforms.

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Kulkarni, Prof Mukund, Vedant Parvekar, Prathmesh Nagpure, Swapnil Mhoprekar, Gautam Mudawadkar, Shrutika Nandurkar, and Niharika Hande. "IOT Based Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 803–8. http://dx.doi.org/10.22214/ijraset.2022.48022.

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Abstract: Applications for MHealth (Mobile Health) and E-Health (Healthcare assisted by ICT) enable many ordinary people to improve, support, and aid their health. This paper offers another online platform for periodically checking a person's health metrics. This gives doctors and other medical professionals the chance to monitor a patient's health using variables like body temperature, blood pressure, etc. Additionally, these data (the parameter readings) can be retrieved and stored. One's information is recorded upon registering (creating an account) on the website, and health measurements are tracked as and when the user logs in, delivering a personalised medical history. The website also has a function that allows users to periodically update their profile information, such as their height, weight, and age. The Arduino IDE, ESP8266, sensors, Arduino Uno, Django Python Web Framework, HTML, CSS and Bootstrap were used to construct the project.

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Kumar, Sanjeev, John L. Buckley, John Barton, Melusine Pigeon, Robert Newberry, Matthew Rodencal, Adhurim Hajzeraj, et al. "A Wristwatch-Based Wireless Sensor Platform for IoT Health Monitoring Applications." Sensors 20, no. 6 (March 17, 2020): 1675. http://dx.doi.org/10.3390/s20061675.

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A wristwatch-based wireless sensor platform for IoT wearable health monitoring applications is presented. The paper describes the platform in detail, with a particular focus given to the design of a novel and compact wireless sub-system for 868 MHz wristwatch applications. An example application using the developed platform is discussed for arterial oxygen saturation (SpO2) and heart rate measurement using optical photoplethysmography (PPG). A comparison of the wireless performance in the 868 MHz and the 2.45 GHz bands is performed. Another contribution of this work is the development of a highly integrated 868 MHz antenna. The antenna structure is printed on the surface of a wristwatch enclosure using laser direct structuring (LDS) technology. At 868 MHz, a low specific absorption rate (SAR) of less than 0.1% of the maximum permissible limit in the simulation is demonstrated. The measured on-body prototype antenna exhibits a −10 dB impedance bandwidth of 36 MHz, a peak realized gain of −4.86 dBi and a radiation efficiency of 14.53% at 868 MHz. To evaluate the performance of the developed 868 MHz sensor platform, the wireless communication range measurements are performed in an indoor environment and compared with a commercial Bluetooth wristwatch device.

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Vivekanadam B. "IoT based Biotelemetry for Smart Health Care Monitoring System." September 2020 02, no. 03 (September 18, 2020): 183–90. http://dx.doi.org/10.36548/jitdw.2020.3.006.

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The concept of biotelemetry evolved to assess the physiological data of a person under normal circumstances without obstruction to the patient. It allows evaluation of risk factors influence the person health on their daily activities. Recent technology development enhances the features of biotelemetry as wireless applications which allows the physician to monitor the patient health remotely. Biotelemetry obtains great values in hospitals by continues monitoring process as it reduces the burden to physician regular checkups. ECG telemetry is one of the predominant biotelemetry application employed to monitor the heart rate and arrhythmias. Proposed research work focusses the key features of ECG telemetry and provides an internet of things (IoT) based application to monitor the patient health in an indoor and outdoor environment. Along with medical terms, data management parameters are analyzed in the experimental section to emphasize the proposed work performance.

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Luprano, Jean. "Bio-Sensing Textile for Medical Monitoring Applications." Advances in Science and Technology 57 (September 2008): 257–65. http://dx.doi.org/10.4028/www.scientific.net/ast.57.257.

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The commercial systems using intelligent textiles that start to appear on the market perform physiological measurements such as body temperature, electrocardiogram, respiration rate, etc. and target sport and healthcare applications. Biochemical measurements of body fluids combined with available health monitoring technology will extend these systems by addressing important health and safety issues. BIOTEX, standing for Bio-sensing Textile for Health Management, is a European project, which aims at developing dedicated biochemical sensing techniques that can be integrated into textiles. Such a system would be a major breakthrough for personalized healthcare and would allow for the first time the monitoring of body fluids with sensors distributed in a textile substrate. The potential applications include isolated people, convalescents and patients with chronic diseases, sports performance assessment and training. The project is addressing several challenges, among which: sweat collection and delivery to the sensors, high sensitivity with a wearable system, wearability issues, sensor calibration and lack of research in sweat analysis.

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Zhou, Guang-Dong, and Ting-Hua Yi. "Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring." Mathematical Problems in Engineering 2013 (2013): 1–33. http://dx.doi.org/10.1155/2013/947867.

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Structural health monitoring (SHM) systems have shown great potential to sense the responses of a bridge system, diagnose the current structural conditions, predict the expected future performance, provide information for maintenance, and validate design hypotheses. Wireless sensor networks (WSNs) that have the benefits of reducing implementation costs of SHM systems as well as improving data processing efficiency become an attractive alternative to traditional tethered sensor systems. This paper introduces recent technology developments in the field of bridge health monitoring using WSNs. As a special application of WSNs, the requirements and characteristics of WSNs when used for bridge health monitoring are firstly briefly discussed. Then, the state of the art in WSNs-based bridge health monitoring systems is reviewed including wireless sensor, network topology, data processing technology, power management, and time synchronization. Following that, the performance validations and applications of WSNs in bridge health monitoring through scale models and field deployment are presented. Finally, some existing problems and promising research efforts for promoting applications of WSNs technology in bridge health monitoring throughout the world are explored.

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