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Auswahl der wissenschaftlichen Literatur zum Thema „Non-Intrusive medical devices“
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Zeitschriftenartikel zum Thema "Non-Intrusive medical devices"
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Liu, Xue Lin, Jun Feng Xu und Hai Tao Wang. „The Research of Wearable Electronic Medical Devices“. Applied Mechanics and Materials 713-715 (Januar 2015): 656–59. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.656.
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Wearable electronic medical devices can realize non-intrusive and non-invasive monitoring of human body, which has the characters of removable operation, easy to use, long-lasting work, smart display diagnostic results, abnormal physiological condition alarms, wireless data transmission, achieve treatment data remote real-time monitoring and so on. In this paper, we collect information of the development process of wearable medical devices, and make the detailed description of the characteristics and development history about wearable electronic medical systems’ hardware and software design, pointing out the shortcomings and the development direction of existing equipment.
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Xie, Yanxi. „The Intersection of Plastic Electronics and Medical Innovation“. Highlights in Science, Engineering and Technology 96 (05.05.2024): 191–97. http://dx.doi.org/10.54097/p7sqh073.
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The aging global population has catalyzed a paradigm shift in healthcare, emphasizing disease prevention over treatment and underscoring the need for large-scale, long-term monitoring of physiological parameters. Wearable health monitoring devices have emerged as a pivotal solution, offering real-time physiological data collection across prevention, treatment, and rehabilitation phases, thus revolutionizing traditional health monitoring approaches. This paper explores the integration of advanced materials—conductive polymers, flexible carbon nanomaterial electrodes, and metal foil substrates—into wearable health technologies. These materials enhance device flexibility, biocompatibility, and non-intrusive monitoring capabilities, providing medical-grade data crucial for early diagnosis and treatment guidance. With the wearable device market projected to expand significantly, fueled by the Internet of Things (IoT) and device miniaturization, this study delves into the technological advancements in detection technologies for electrophysiological, physical, biochemical, and photoelectric signals. It also examines the challenges and future directions in wearable health devices, focusing on material innovation, device miniaturization, and the integration of plastic electronics to improve wearability, sustainability, and interactivity. Through systematic analysis, this paper aims to highlight the transformative impact of wearable health technologies on enhancing patient care, facilitating early disease detection, and offering personalized health management solutions.
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English, Lisa B. „In Pursuit of an Ideal – A Perspective on Non-Invasive Continuous Glucose Monitoring“. European Endocrinology 8, Nr. 1 (2010): 18. http://dx.doi.org/10.17925/ee.2012.08.01.18.
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Diabetes is one of the most common non-communicable diseases globally, and is the fourth or fifth leading cause of death in many countries. Medical technology for the management of diabetes has advanced steadily since the discovery of insulin in the early 20th century. Today, individuals with diabetes benefit from home-use blood glucose meters, continuous insulin pumps and, most recently, continuous glucose monitoring (CGM). Numerous studies have shown that frequent use of real-time CGM can improve glycaemic control with reduced risk of hypoglycaemia. However, current CGM devices have not been wholeheartedly embraced, limiting their potential. A CGM device that is accurate, non-invasive, pain-free and non-intrusive to daily activities could drive increased adoption and use of CGM, potentially improving health and quality of life for many individuals living with diabetes.
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Mohamed, Hana, Suresh Kathriarachchi, Nipun Kahatapitiya, Bhagya Silva, Deshan Kalupahana, Sajith Edirisinghe, Udaya Wijenayake, Naresh Ravichandran und Ruchire Wijesinghe. „Early-Stage Prototype Assessment of Cost-Effective Non-Intrusive Wearable Device for Instant Home Fetal Movement and Distress Detection: A Pilot Study“. Diagnostics 14, Nr. 17 (02.09.2024): 1938. http://dx.doi.org/10.3390/diagnostics14171938.
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Clinical fetal monitoring devices can only be operated by medical professionals and are overly costly, prone to detrimental false positives, and emit radiation. Thus, highly accurate, easily accessible, simplified, and cost-effective fetal monitoring devices have gained an enormous interest in obstetrics. In this study, a cost-effective and user-friendly wearable home fetal movement and distress detection device is developed and assessed for early-stage design progression by facilitating continuous, comfortable, and non-invasive monitoring of the fetus during the final trimester. The functionality of the developed prototype is mainly based on a microcontroller, a single accelerometer, and a specialized fetal phonocardiography (fPCG) acquisition board with a low-cost microphone. The developed system is capable of identifying fetal movement and monitors fetal heart rhythm owing to its considerable sensitivity. Further, the device includes a Global System for Mobile Communication (GSM)-based alert system for instant distress notifications to the mother, proxy, and emergency services. By incorporating digital signal processing, the system achieves zero false negatives in detecting fetal movements, which was validated against an open-source database. The acquired results clearly substantiated the efficacy of the fPCG acquisition board and alarm system, ensuring the prompt identification of fetal distress.
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Boiko, Andrei, Natividad Madrid und Ralf Seepold. „Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review“. Sensors 23, Nr. 11 (24.05.2023): 5038. http://dx.doi.org/10.3390/s23115038.
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Sleep is essential to physical and mental health. However, the traditional approach to sleep analysis—polysomnography (PSG)—is intrusive and expensive. Therefore, there is great interest in the development of non-contact, non-invasive, and non-intrusive sleep monitoring systems and technologies that can reliably and accurately measure cardiorespiratory parameters with minimal impact on the patient. This has led to the development of other relevant approaches, which are characterised, for example, by the fact that they allow greater freedom of movement and do not require direct contact with the body, i.e., they are non-contact. This systematic review discusses the relevant methods and technologies for non-contact monitoring of cardiorespiratory activity during sleep. Taking into account the current state of the art in non-intrusive technologies, we can identify the methods of non-intrusive monitoring of cardiac and respiratory activity, the technologies and types of sensors used, and the possible physiological parameters available for analysis. To do this, we conducted a literature review and summarised current research on the use of non-contact technologies for non-intrusive monitoring of cardiac and respiratory activity. The inclusion and exclusion criteria for the selection of publications were established prior to the start of the search. Publications were assessed using one main question and several specific questions. We obtained 3774 unique articles from four literature databases (Web of Science, IEEE Xplore, PubMed, and Scopus) and checked them for relevance, resulting in 54 articles that were analysed in a structured way using terminology. The result was 15 different types of sensors and devices (e.g., radar, temperature sensors, motion sensors, cameras) that can be installed in hospital wards and departments or in the environment. The ability to detect heart rate, respiratory rate, and sleep disorders such as apnoea was among the characteristics examined to investigate the overall effectiveness of the systems and technologies considered for cardiorespiratory monitoring. In addition, the advantages and disadvantages of the considered systems and technologies were identified by answering the identified research questions. The results obtained allow us to determine the current trends and the vector of development of medical technologies in sleep medicine for future researchers and research.
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Awwad, Khader, Sundous Hussien und Rawan Rimawi. „Febrile Seizure Detect and Alarm System“. International Journal of Recent Contributions from Engineering, Science & IT (iJES) 3, Nr. 4 (14.12.2015): 4. http://dx.doi.org/10.3991/ijes.v3i4.4332.
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Wearable medical technology is becoming increasingly popular. Such devices have the potential to vastly improve the effectiveness, safety and economy of monitoring vital signs including temperature by both patients and clinicians. The purpose of this paper is to present design and implementation of a reliable, low cost and non-intrusive system that is to monitor a child’s body temperature using high precision temperature sensor and alarm his/her parents or guardian on their mobile phones as well as on a webpage which can be accessed via internet connection so as to avoid convulsions brought on by a significant rise in body temperature.
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Boudlal, Hicham, Mohammed Serrhini und Ahmed Tahiri. „A Monitoring System for Elderly People Using WiFi Sensing with Channel State Information“. International Journal of Interactive Mobile Technologies (iJIM) 17, Nr. 12 (20.06.2023): 112–31. http://dx.doi.org/10.3991/ijim.v17i12.36613.
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Healthcare professionals, industry, and academics have all recently expressed a strong interest towards WiFi sensing. These techniques could be used to identify critical occurrences that sensitive persons may suffer, such as falls, sleep abnor-malities, wandering behavior, respiratory illnesses, and irregular heart activity. In this paper, we propose a low-cost, non-intrusive method to remotely monitor el-derly people without deploying devices on their bodies in a given space, using channel state information (CSI) from passive WiFi detection. Specifically, we monitored variables such as sitting and standing activity, and experimental valida-tion in practical situations with variable occupants, various environmental set-tings, and interference from other WiFi devices demonstrates robustness and scalability. Our results suggest that the proposed method can be put into practical-real use to detect activity and alert emergency personnel immediately, providing rapid medical assistance, saving lives, minimizing damage, and reducing anxiety for elderly people residing alone.
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Aziz, Ahmed, Sanjar Mirzaliev und Yuldashev Maqsudjon. „Real-time Monitoring of Activity Recognition in Smart Homes: An Intelligent IoT Framework“. Journal of Intelligent Systems and Internet of Things 10, Nr. 1 (2023): 76–83. http://dx.doi.org/10.54216/jisiot.100106.
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The rapid proliferation of the Internet of Things (IoT) has paved the way for transformative innovations, and this paper explores its profound impact on the realm of elderly care within smart homes. We present a pioneering IoT-based approach for human activity recognition, addressing the critical need for accurate and non-intrusive monitoring of elderly individuals. Our IoT-based approach begins with data preprocessing, where raw sensor data is refined using median filtering, reducing noise and ensuring high-quality inputs for our model. We apply the series_to_supervised transformation to convert the sensor data into a supervised learning format, which is critical for training the GRU-based activity recognition model. The heart of our approach lies in the federated distillation-based training strategy. Edge devices within the IoT network locally train their GRU models using their datasets while sharing knowledge with a central server and other edge devices. Knowledge distillation further enhances the model's performance by transferring knowledge from the global model to the edge devices. Experimental analysis demonstrated an impressive accuracy of 95% and an F1-score of 0.94, Our system excels in recognizing and classifying a wide range of human activities, from daily routines to emergencies.
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Providakis, Costas P., Maria G. Mousteraki und Georgia C. Providaki. „Operational Modal Analysis of Historical Buildings and Finite Element Model Updating Using α Laser Scanning Vibrometer“. Infrastructures 8, Nr. 2 (18.02.2023): 37. http://dx.doi.org/10.3390/infrastructures8020037.
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Without affecting the integrity or stability of the heritage monuments, vibration-based techniques provide useful solutions for acquiring global information about them. By studying the dynamic response to suitable excitation sources, it is feasible to define the mechanical characteristics of structures and identify and locate defects in their global behaviour. Laser Doppler vibrometry (LDV), which enables non-contact measurements of the vibration velocity of moving surfaces using a focused laser beam, is a highly desirable technique for qualitative dynamic characterisation and damage assessment. LDV is a simple and non-intrusive approach. It permits remote measurements and has a high degree of sensitivity and frequency adaptation. In addition, the system is entirely computer controlled, providing simple data storage, processing, and analysis. LDV has been originally researched and developed for structural and modal shape analysis of physical prototypes, in-service devices (e.g., machinery components), medical imaging applications, and damage detection and analysis relevant to small-scale non-destructive testing (NDT), and evaluation of micro to meso-targets (e.g., fracture detection and mapping in composites, modal shape and vibration analysis of objects, etc.). In spite of several successful applications in the case of bridges and thin structures, ambient vibration testing in an integrated form that includes dynamic identification, sensitivity analysis, and numerical modelling update employing modern sensor non-contact technologies is still uncommon. In this paper, the authors intend to explore further the possibility of combining ambient vibrations and OMA in combination with the non-contact LDV sensing technique in order to remotely acquire mechanical waves travelling in historical structures, track the actual behaviour of such structures, and calibrate their finite element numerical models.
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Verdecchia, Paolo, Claudio Cavallini und Fabio Angeli. „Advances in the Treatment Strategies in Hypertension: Present and Future“. Journal of Cardiovascular Development and Disease 9, Nr. 3 (03.03.2022): 72. http://dx.doi.org/10.3390/jcdd9030072.
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Hypertension is the most frequent chronic and non-communicable disease all over the world, with about 1.5 billion affected individuals worldwide. Its impact is currently growing, particularly in low-income countries. Even in high-income countries, hypertension remains largely underdiagnosed and undertreated, with consequent low rates of blood pressure (BP) control. Notwithstanding the large number of clinical observational studies and randomized trials over the past four decades, it is sad to note that in the last few years there has been an impressive paucity of innovative studies. Research focused on BP mechanisms and novel antihypertensive drugs is slowing dramatically. The present review discusses some advances in the management of hypertensive patients, and could play a clinical role in the years to come. First, digital/health technology is expected to be increasingly used, although some crucial points remain (development of non-intrusive and clinically validated devices for ambulatory BP measurement, robust storing systems enabling rapid analysis of accrued data, physician-patient interactions, etc.). Second, several areas should be better outlined with regard to BP diagnosis and treatment targets. Third, from a therapeutic standpoint, existing antihypertensive drugs, which are generally effective and well tolerated, should be better used by exploiting available and novel free and fixed combinations. In particular, spironolactone and other mineral-corticoid receptor antagonists should be used more frequently to improve BP control. In particular, some drugs initially developed for conditions different from hypertension including heart failure and diabetes have demonstrated to lower BP significantly and should therefore be considered. Finally, renal artery denervation is another procedure that has proven effective in the management of hypertension.
Dissertationen zum Thema "Non-Intrusive medical devices"
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Kengoum, Pedie Claude Elvire. „Conception et optimisation d'un matelas de ballistocardiographie“. Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLP078.
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Ce travail de thèse aborde la problématique des méthodes de surveillance des patients, en particulier des nouveau-nés, qui souffrent de limitations en termes de coûts, d'efficacité et d'invasivité. Elle explore une technologie innovante de surveillance non intrusive basée sur la ballistocardiographie (BCG). Cette méthode utilise un matelas équipé de capteurs intégrés pour mesurer les déformations dues à l'activité cardiovasculaire. Pour assurer la précision des mesures, une série d'essais sur des échantillons de mousses de polyuréthane prélevés dans des matelas médicaux a été réalisée, suivie de modélisations numériques validées expérimentalement. Les résultats montrent qu'il est nécessaire d'établir, grâce au modèle numérique, les zones du matelas à privilégier afin d'obtenir des informations précises et fiables sur l'activité cardiovasculaire. Ces travaux ouvrent la voie à des applications médicales en néonatologie, pédiatrie et télémédecine, pour une surveillance cardiaque plus accessible et moins invasiveThis thesis addresses the issue of patient monitoring methods, particularly for newborns, which face limitations in terms of cost, efficiency, and invasiveness. It explores an innovative non-intrusive monitoring technology based on ballistocardiography (BCG). This method uses a mattress equipped with integrated sensors to measure deformations caused by cardiovascular activity. To ensure measurement accuracy, a series of testson polyurethane foam samples taken from medical mattresses was conducted, followed by numerically validated modeling. The results show that it is necessary, through the numerical model, to establish the areas of the mattress to prioritize in order to obtain precise and reliable information on cardiovascular activity. This work paves the way for medical applications in neonatology, pediatrics, and telemedicine, offering more accessible and less invasive cardiac monitoring solutions
Buchteile zum Thema "Non-Intrusive medical devices"
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Rai, Anushree, und Ms Aditi. „ARTIFICIAL INTELLIGENCE AND ITS APPLICATION IN SLEEP MEDICINE“. In Futuristic Trends in Medical Sciences Volume 3 Book 26, 172–78. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfms26p3ch6.
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Recent years have seen tremendous progress in the field of sleep medicine, and the use of artificial intelligence (AI) has been crucial in improving the diagnostic and therapeutic elements of sleep-related illnesses. This chapter examines the several uses of artificial intelligence (AI) in sleep medicine, highlighting how this technology has the potential to completely change how sleep disorders are identified, tracked, and managed. The establishment of sophisticated monitoring systems is a key use of AI in sleep medicine. The integration of AI algorithms with wearable devices and non-intrusive sensors allows for the remote and continuous monitoring of sleep patterns. Because these devices offer real-time feedback, abnormalities can be identified and treatment regimens can be modified in a timely manner. In conclusion, AI-enabled improvements in diagnosis, monitoring, and therapy not only boost healthcare delivery efficiency but also open the door to more individualised and patient-centered approaches to the management of sleep-related illnesses. The combination of artificial intelligence with sleep medicine has the potential to significantly improve sleep health and general quality of life as technology advances.
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Vijayan, Jyothy G., und T. Niranjana Prabhu. „Synthesis, Properties, and Biomedical Application of Hybrid Nanomaterials“. In Innovations and Applications of Hybrid Nanomaterials, 39–61. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3268-9.ch003.
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Nanomaterials are considered potential materials for the diagnosis and treatment of different diseases. The combination of nanomaterials and biological science aids in the creation of innovative medical devices with broad uses. Nanomaterials are thought of as simple, non-intrusive, and affordable chemicals. The magnetic and optical properties of nanomaterials can be combined with their great sensitivity and selectivity towards the target. Nanomaterials are superior and essential in pharmaceutical applications due to their size-dependent characteristics. The biomedical field's understanding of the relationship between microorganisms and nanostructures is rapidly expanding. Nanomaterials are extremely useful in drug delivery because of their characteristics, such as small particle size, high surface area to volume ratios, big drug payloads, etc. The significance of nanoparticles in medicinal applications and regulatory views is covered in this chapter. The use of nanoscale materials in the treatment of infectious disorders is also covered in this chapter.
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Singh, Dr Brij Nandan, Dr Nandlal Kumar, Dr Ramesh Yadav und Dr Desh Nidhi Singh. „NANOTECHNOLOGY IN MODERN MEDICINE: THERAPEUTIC INNOVATIONS AND APPLICATIONS“. In Futuristic Trends in Medical Sciences Volume 3 Book 2, 144–55. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbms2p5ch2.
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Nanotechnology has ushered in a novel age of medical advancement. Nanotechnology employs principles from physics, chemistry, biology, and engineering to manipulate nanoscale materials to create novel medical instruments for diagnosis, treatment, and monitoring. This abstract provides a concise overview of the contributions of nanotechnology to modern medicine, focusing on the advancements in therapy and their practical implementation. The field of nanotechnology has enhanced the process of administering drugs. Liposomes, micelles, and nanoparticles are vehicles that enable precise drug delivery. Improving accuracy enhances therapy's effectiveness and diminishes adverse effects, thus addressing a persistent issue in pharmaceutical administration. Nanocarriers can surmount biological obstacles, penetrate tissues, and accumulate in areas affected by illness, enhancing the efficacy of cancer and infectious disease therapies. Nanotechnology has significantly improved the fields of imaging and diagnostics. Nanoparticles engineered with imaging agents may accurately observe minuscule characteristics, facilitating the early detection of illnesses. Quantum dots, gold, and magnetic nanoparticles accurately visualize cellular and molecular processes. These little imaging instruments enable medical professionals to identify early medical conditions swiftly and precisely. Nanotechnology is crucial in advancing regenerative medicine by facilitating tissue formation and repair. Scaffolds and nanoparticles imitate the extracellular matrix, promoting cell proliferation and tissue regeneration. These developments have significant implications for medical conditions that necessitate organ transplants or tissue repair, offering a solution to the limitations of conventional transplantation techniques. Nanosensors incorporated into medical equipment can detect physiological signs at the molecular level. It impacts customized medicine, as treatment strategies may be modified according to individual reactions. Nanotechnology-based sensors integrated into wearable devices enable the continuous and non-intrusive monitoring of health indicators for health surveillance purposes. In summary, nanotechnology has significantly transformed medicine through several medical breakthroughs and tangible implementations. Nanotechnology impacts medication's precise administration, medical image visualization, and regenerative medicine development. It has the potential to revolutionize medical treatments by enhancing precision, effectiveness, and customization for individual patients.
Konferenzberichte zum Thema "Non-Intrusive medical devices"
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Ince, Nuri F., Cheol-Hong Min und Ahmed H. Tewfik. „Integration of Wearable Wireless Sensors and Non-Intrusive Wireless in-Home Monitoring System to Collect and Label the Data from Activities of Daily Living“. In 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors. IEEE, 2006. http://dx.doi.org/10.1109/issmdbs.2006.360089.
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Choi, Sang H., Kyo D. Song, Yeonjoon Park und Uhn Lee. „Development of Neural Probe With Wireless Power Feed“. In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13055.
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New medical device technology is essential for diagnosing, monitoring, and curing wide spectrum of diseases, anomalies and inflictions. For neural applications, no matter whether non-intrusive or not, currently available devices are generally limited to either a curing or a probing function. In this paper we review the technology requirements for new neural probe and cure device technology. Recent advances in micro and nano-scale devices engineering and wireless power technology offer a great potential to revolutionize many health care systems. The integration of wireless power technology into smart microsensor and probe systems greatly simplifies the healthcare devices and systems and also offers additional device functions for even complex jobs. The wireless power feed technology eliminates the pains and irritations associated with implanted power devices and wires. Neural electronics interfaces (NEI) can be coupled and integrated with the wireless power receiver (WPR). The implantable probe-pin devices (PPD) that include the NEI and WPR allow real-time measurement and control/feedback possible for remedial process of neural anomaly from normal functions. Such a system like a PPD should have an embedded expert system that performs semi-autonomous functions through a routine of sensing, judging, and controlling the neural anomaly.