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Artykuły w czasopismach na temat „Medical Sensor Networks”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

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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Rahangdale, Harshal. "A Review on WMSN (Wireless Medical Sensor Networks) for Health Monitoring Systems." ECS Transactions 107, no. 1 (2022): 1973–80. http://dx.doi.org/10.1149/10701.1973ecst.

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Wireless Medical Sensor (WMSN) networks have become a great technology to allow for the best kind of applications. Recent developments at WMSN have helped to create a comprehensive health monitoring concept in both home and hospital care settings. Current technological advances in sensors, integrated dynamic circuits, and wireless connectivity have allowed the event of smaller, heavier, less expensive, and clever body sensors. These modules are able to hear, process, and communicate with one or more important signals. In addition, they will be used on local wireless networks (WPANs) or wireles

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12

B. Naresh Kumar, Et al. "Enhanced Authentication Scheme for Mobility Model in Medical Wireless Sensor Networks." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 4186–90. http://dx.doi.org/10.17762/ijritcc.v11i9.9787.

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The advent of wireless sensor networks has brought significant advancements in healthcare, enabling remote interactions between medical professionals and patients. However, ensuring the security of communication in Medical Wireless Sensor Networks (WSNs) poses different challenges. To address this, this paper introduces a novel authentication framework designed for doctors and patients. The proposed mechanism incorporates essential features such as mutual authentication, anonymity, and data integrity, safeguarding the Medical Wireless Sensor Networks (MWSN). Symmetric encryption techniques are

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Alate, Mahendra, Uma R. Godase, Uddhav T. Kumbhar, Sheela Hundekari, Araddhana Arvind Deshmukh, and Anil Kumar. "Secure and scalable data aggregation techniques for healthcare monitoring in WSN." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 2 (2024): 441–52. http://dx.doi.org/10.47974/jdmsc-1900.

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Wireless Sensor Networks (WSN) are crucial in the healthcare field as they allow for the immediate monitoring and collection of data from medical sensors. The growing incorporation of WSN in healthcare requires the creation of authentication protocols that are both strong and energy-efficient. This study presents Lightweight Authentication Protocol for Cloud-based Health-care Systems (LAPCHS) using BLAKE2 designed specifically for WSN in medical settings for secure and scalable data aggregation. The proposed method tackles the difficulties presented by limited resources in sensor nodes, with t

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Thangamuthu, A. P. "Security in Wireless Sensor Networks: Issues and Challenges." Shanlax International Journal of Arts, Science and Humanities 8, no. 4 (2021): 120–28. http://dx.doi.org/10.34293/sijash.v8i4.3671.

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Wireless sensor networks (WSNs) have made it easier for people to live in various fields: medical engineering, agriculture. With computing power and wireless networking, sensing technology makes it lucrative for its potential abundance of use. Since the many uses of such systems have been used, lightweight, inexpensive, disposable and self-contained computers, known as sensor nodes or “motes,” are created. WSNs are commonly used in applications for monitoring, tracking and control. These include centralized management, system heterogeneity, protocol routing, the versatility of node, the privac

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Spoorthi, K., Saha Snehanshu, and Mathur Archana. "Discrete Path Selection and Entropy Based Sensor Node Failure Detection in Wireless Sensor Networks." Cybernetics and Information Technologies 16, no. 3 (2016): 137–53. http://dx.doi.org/10.1515/cait-2016-0039.

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Abstract Exertion of wireless sensor networks has been increasing in recent years, and it imprints in almost all the technologies such as machine industry, medical, military and civil applications. Due to rapid growth in electronic fabrication technology, low cost, efficient, multifunctional and accurate sensors can be produced and thus engineers tend to incorporate many sensors in the area of deployment. As the number of sensors in the field increases, the probability of failure committed by these sensors also increases. Hence, efficient algorithms to detect and recover the failure of sensors

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Kashyap, Naveen, and Sushil Kumar Kashyap. "Smart Healthcare Monitoring system using Wireless Sensor Networks." Journal of Advances in Science and Technology 22, no. 1 (2025): 161–72. https://doi.org/10.29070/20zz6v82.

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Wireless sensor networks (WSNs) have the potential to revolutionize healthcare by allowing for the continuous monitoring of patients and the rapid response to medical emergencies. In this study, we detail the planning and execution of a WSN-based smart healthcare monitoring system that can keep tabs on your vitals around the clock, including your pulse, oxygen saturation, blood pressure, and temperature. Every sensor node communicates with a central base station (sink) to analyze and act upon data sent by medical sensors and microcontrollers. Utilizing the DMAC (Data-Gathering MAC) protocol, w

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Abdalla, Israa Hussain, and Rusul Fadhil Yaser. "WSN recruitments for encrypted medical image transmission securely." Journal of Discrete Mathematical Sciences & Cryptography 26, no. 7 (2023): 1981–90. http://dx.doi.org/10.47974/jdmsc-1838.

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In both the open community and the military, wireless sensor networks (WSNs) demonstrate incredible promises for a variety of complex applications. Due to system assaults on the detection of energy and remote correspondence innovations, individual data without specific insurance is not reasonable for approval. Wireless Ad-Hoc Networks (WANET) additionally presents a number of security and risk concerns related to remote communication. This article explores issues and difficulties related to security in WANET-based remote sensor organizations. Survey-arranged security instruments for remote sen

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Itani, Wassim, Ayman Kayssi, and Ali Chehab. "Wireless Body Sensor Networks." International Journal of Reliable and Quality E-Healthcare 5, no. 2 (2016): 1–30. http://dx.doi.org/10.4018/ijrqeh.2016040101.

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In this paper, the authors provide a detailed overview and technical discussion and analysis of the latest research trends in securing body sensor networks. The core of this work aims at: (1) identifying the resource limitations and energy challenges of this category of wireless sensor networks, (2) considering the life-critical applications and emergency contexts that are encompassed by body sensor network services, and (3) studying the effect of these peculiarities on the design and implementation of rigorous and efficient security algorithms and protocols. The survey discusses the main adva

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REN, HONGLIANG, and MAX Q. H. MENG. "MODELING THE GROUP MOBILITY PATTERN IN WIRELESS BODY SENSOR NETWORKS." International Journal of Information Acquisition 03, no. 04 (2006): 259–70. http://dx.doi.org/10.1142/s0219878906001015.

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Wireless network of wearable biomedical sensors by human body shows great potential to enhance the biometrics performance significantly. Meanwhile, it poses prominent characteristics and challenges to physicians and engineers for its particular medical application as compared to other application of wireless sensor networks (WSN). Mobility pattern plays an important role in designing the wireless body sensor networks (WBSN) and will also affect the accuracy of modeling WBSN in health care application. Much of the mobility scenarios generated in current work of wireless body sensor networks has

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Zhang, Chao. "Remote Medical Monitoring System in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 11 (2016): 58. http://dx.doi.org/10.3991/ijoe.v12i11.6239.

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<p class="Abstract"><span lang="EN-US">In order to solve the problem of monitoring remote medical care to identify good medical services, a medical service recommendation system based on privacy-preserved reputation scoring is designed. This system enables medical service users to get a reputation score of a Medical Service Provider before engaging in any services. The experiment results show that the proposed scheme is significantly more efficient in batch verification of digital signatures, making it a suitable practical solution to Mobile Health Care applications, while the thir

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Liu, Jing, and Yang Xiao. "Temporal Accountability and Anonymity in Medical Sensor Networks." Mobile Networks and Applications 16, no. 6 (2010): 695–712. http://dx.doi.org/10.1007/s11036-010-0254-6.

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Hayder, Jassim Hassaballah, Ali Rashid, and Abdulkareem Abdulazeez AlHayali Bushra. "Medical Healthcare System Based on Wireless Body Area Networks: The Importance of Anomaly Detection." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3039–46. https://doi.org/10.35940/ijeat.C5945.029320.

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In this research paper, a modern framework is presented to detect anomaly in medical wireless body sensor network systems that are incorporated in distant observation of patient’s vital signs. The suggested framework effects analysis of data in a sequential manner using a mini gateway utilized as a root station to discover abnormal alterations and to deal with inaccurate computations in gathered medical information minus advance awareness of irregular occurrences or consistent data patterns. The suggested perspective relies on Principal Component Analysis (PCA) utilized in spatial analys

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Russell, Joseph, Jeroen H. M. Bergmann, and Vikranth H. Nagaraja. "Towards Dynamic Multi-Modal Intent Sensing Using Probabilistic Sensor Networks." Sensors 22, no. 7 (2022): 2603. http://dx.doi.org/10.3390/s22072603.

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Intent sensing—the ability to sense what a user wants to happen—has many potential technological applications. Assistive medical devices, such as prosthetic limbs, could benefit from intent-based control systems, allowing for faster and more intuitive control. The accuracy of intent sensing could be improved by using multiple sensors sensing multiple environments. As users will typically pass through different sensing environments throughout the day, the system should be dynamic, with sensors dropping in and out as required. An intent-sensing algorithm that allows for this cannot rely on train

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Palmer, Allan G. "Impact of Innovative Pulse Oximeter Sensor Management Strategy." Biomedical Instrumentation & Technology 55, no. 2 (2021): 59–62. http://dx.doi.org/10.2345/0890-8205-55.1.59.

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Abstract Background: Following a merger of two children's hospitals, leadership discovered a considerable utilization volume of single-use sensors that was associated with declining hospital reimbursements. This discovery resulted in the establishment of a new sensor management strategy, the goal of which was to decrease costs and waste associated with disposable pulse oximetry sensors. Implementation: The sensor management strategy involved using replacement tapes with single-patient-use pulse oximeter sensors instead of the current practice of reprobing with a new sensor. A 60% utilization g

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Palmer, Allan G. "Impact of Innovative Pulse Oximeter Sensor Management Strategy." Biomedical Instrumentation & Technology 55, no. 2 (2021): 59–62. http://dx.doi.org/10.2345/0890-8205-55.2.59.

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Abstract Background: Following a merger of two children's hospitals, leadership discovered a considerable utilization volume of single-use sensors that was associated with declining hospital reimbursements. This discovery resulted in the establishment of a new sensor management strategy, the goal of which was to decrease costs and waste associated with disposable pulse oximetry sensors. Implementation: The sensor management strategy involved using replacement tapes with single-patient-use pulse oximeter sensors instead of the current practice of reprobing with a new sensor. A 60% utilization g

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Hameed, Bilal Hashim, Anmar Yahya Taher, Raed Khalid Ibrahim, Adnan Hussein Ali, and Yasser Adnan Hussein. "Based on mesh sensor network: design and implementation of security monitoring system with Bluetooth technology." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (2022): 1781–90. https://doi.org/10.11591/ijeecs.v26.i3.pp1781-1790.

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One of the most critical aspects to consider in wireless sensor networks is security, particularly in internet of things (IoT) implementations. Sensor network applications had risen in the past 5 years since these networks have been used in various parts of life (smart residential and commercial buildings, medical, and agriculture). In this study, we provide a novel network of sensors based on the Bluetooth network that may be used to protect commercial buildings. The Bluetooth type HC 06 was chosen since it has a low energy consumption and a communication range of 100 meters. Such security ne

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Mykola, Trehub, Khakhula Valerii, Rubets Andriy, Viktor Demeshchuk, and Khakhula Воhdan. "Evaluating Simulation and Development of Algorithms of Energy Consumption Reduction Based on Wireless Sensor Networks." Journal of Research in Science, Engineering and Technology 7, no. 3 (2020): 18–24. http://dx.doi.org/10.24200/jrset.vol7iss3pp18-24.

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Today, wireless sensor networks have been used in many applications according to their benefits such as simple and inexpensive implementation, low power consumption and high scalability. Designing sustainable wireless sensor networks is a very challenging issue. It is expected that sensors with limit energy to work automatically for a long time. However, replacement of broken batteries may be impossible with high costs or even in hard environments. On the other hand, unlike other networks, wireless sensor networks are designed for specific small-scale applications such as medical monitoring sy

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Neves, Paulo, Michal Stachyra, and Joel Rodrigues. "Application of Wireless Sensor Networks to Healthcare Promotion." Journal of Communications Software and Systems 4, no. 3 (2008): 181. http://dx.doi.org/10.24138/jcomss.v4i3.218.

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Born on military applications, wireless sensor networks(WSNs) application grew on the promise of environment sensing and data processing capability at low cost. These networks can hold hundreds or even thousands of smart sensing nodes with processing and sensing capabilities and even integrated power through a dedicated battery. This paper surveys on the application of wireless sensor networks to healthcare promotion, namely with the use of biosensor technology applied to body sensor networks. On a wireless body sensor network, a person wears biosensors to gather data, while doing their daily

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Kim, Seong Cheol, and Hye Yun Kim. "AN ENERGY- AND DELAY-EFFICIENT TRANSMISSION MECHANISM USING REINFORCEMENT LEARNING IN WIRELESS BODY SENSOR NETWORKS." Journal of Southwest Jiaotong University 57, no. 5 (2022): 555–61. http://dx.doi.org/10.35741/issn.0258-2724.57.5.44.

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Clustering mechanism saves energy consumption and prolongs the lifetime of wireless sensor network (WSN). In this paper, we propose an energy and delay efficient transmission mechanism using reinforcement learning in wireless body sensor networks (WBSNs). In the WBSN network, in addition to the efficient energy consumption of the sensor node, when vital information is measured, additional information measured from other sensors must be transmitted to the medical staffs within a limited time so that the medical staff can make a correct decision. The proposed transmission mechanism in this paper

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Kamlesh, Kumar Gautam. "WSN and IoMT base Healthcare System for Patient Monitoring in Remote Areas." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 1516–23. https://doi.org/10.5281/zenodo.14964515.

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Todays, the rapid growing of effective services in healthcare in remote areas has innovative solutions by led to the development of the integrating Wireless Sensor Networks (WSN) and the Internet of Medicals Things (IoMT) or medical objects .This paper proposes a healthcare monitoring system based on Wireless Sensor Networks (WSN) and (IoMT) for continuous patient monitoring in underserved and geographically isolated regions. The patient enabled with various sensor for data collecting in real time. The network system deployment of wearable and smart devices and environmental various sensors th

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Muhajjar, Raad A., Nahla A. Flayh, and Mishall Al-Zubaidie. "A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments." Electronics 12, no. 4 (2023): 1011. http://dx.doi.org/10.3390/electronics12041011.

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Wireless sensor networks (WSNs) have developed during the past twenty years as a result of the accessibility of inexpensive, short-range, and simple-to-deploy sensors. A WSN technology sends the real-time sense information of a specific monitoring environment to a backend for processing and analysis. Security and management concerns have become hot topics with WSN systems due to the popularity of wireless communication channels. A large number of sensors are dispersed in an unmonitored medical environment, making them not safe from different risks, even though the information conveyed is vital

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Kiran, W. S. "Performance Analysis of Multi-Layered Clustering Routing Protocol for Wireless Sensor Networks." March 2022 4, no. 1 (2022): 11–22. http://dx.doi.org/10.36548/jsws.2022.1.002.

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Wireless Sensor Networks are the most efficient networks today, and they are used in many industrial, medical, and security applications. The major drawback of the sensor network is energy consumption due to the smaller size of the sensor node. To overcome the energy consumption, this paper proposes a new routing protocol called Multi-Layered Clustering Routing Protocol. This proposed routing protocol contributes to network’s long life and energy efficiency. During data transmission between the source and destination, the clustering approach is used in each layer. This assists in identifying t

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Marrero, Domingo, Alvaro Suárez, Elsa Macías, and Vicente Mena. "Extending the Battery Life of the ZigBee Routers and Coordinator by Modifying Their Mode of Operation." Sensors 20, no. 1 (2019): 30. http://dx.doi.org/10.3390/s20010030.

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Wireless sensor networks proliferate more and more in all social scopes and sectors. Such networks are implemented in smart homes, smart cities, security systems, medical resources, agriculture, automotive industry, etc. Communication devices and sensors of such networks are powered with batteries: the enlarging of battery life is a hot research topic. We focus on wireless sensor networks based on ZigBee technology. While sleep standard operation mode is defined for end devices, it is not the case for the rest of devices (routers and Coordinator), which usually always remain in active mode. We

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M. Iniyan and A. Banumathi. "The WBANs: Steps towards a comprehensive analysis of wireless body area networks." Scientific Temper 15, no. 03 (2024): 2888–98. https://doi.org/10.58414/scientifictemper.2024.15.3.61.

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The wireless sensor network (WSN) has been an active research topic for years, extensively used in the military, healthcare, automation and various other applications. Inspired by the WSN, the wireless body area network (WBAN) is a crucial infrastructure for remote health monitoring and treatment, with sensors installed in the human body to detect medical indicators and gather data. These sensor nodes function even in harsh conditions where human communication is difficult, all while operating on a minimal power budget. In this paper, we cover various aspects of wireless body area networks, su

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Ni, Haoyu. "Application of wireless sensor network in telemedicine monitoring." Applied and Computational Engineering 5, no. 1 (2023): 470–74. http://dx.doi.org/10.54254/2755-2721/5/20230622.

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Wireless sensor networks have developed rapidly and have been applied to various fields of life, especially in the medical field, which has made great progress, especially in the telemedicine monitoring system. This paper analyzes and summarizes the application characteristics of wireless sensor in telemedicine detection. Then it points out the challenges faced by the promotion and popularization of telemedicine based on wireless sensor networks, and analyzes the energy consumption and security of wireless sensor networks in detail. Finally, the development of telemedicine monitoring system ba

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Gao, Feng, and Zhi Hua Hu. "The Security Mechanism for Wireless Sensor Networks." Applied Mechanics and Materials 256-259 (December 2012): 2392–95. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2392.

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In recent years, with advances in microelectronics technology and wireless communication technology which promote the rapid development of low power, low price, multifunction sensor, and it also contributed to the development of wireless sensor networks. Wireless sensor network can be used in military, medical and commercial areas. This paper mainly described the characteristics of wireless sensor networks, security threats in the communication process and analyzed its security needs of taking security mechanisms to ensure the security of wireless communications.

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Ali Khan, Rahat, Altaf Mazhar Soomro, and Hima Zafar. "Minimizing Path Loss in Medical Wireless Sensors in Wireless Body Area Sensor Networks." Indian Journal of Science and Technology 10, no. 32 (2017): 1–7. http://dx.doi.org/10.17485/ijst/2017/v10i32/117001.

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Kang, James Jin Won, and Henry Larkin. "Inference of Personal Sensors in the Internet of Things." International Journal of Information, Communication Technology and Applications 2, no. 1 (2016): 1–23. http://dx.doi.org/10.17972/ijicta20162125.

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Smartphone technology has become more popular and innovative over the last few years, and technology companies are now introducing wearable devices into the market. By emerging and converging with technologies such as Cloud, Internet of Things (IoT) and Virtualization, requirements to personal sensor devices are immense and essential to support existing networks, e.g. mobile health (mHealth) as well as IoT users. Traditional physiological and biological medical sensors in mHealth provide health data either periodically or on-demand. Both of these situations can cause rapid battery consumption,

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Li, Hengfan, Xuanbo Xu, Ziheng Liu, Qingfeng Xia, and Min Xia. "Low-Quality Sensor Data-Based Semi-Supervised Learning for Medical Image Segmentation." Sensors 24, no. 23 (2024): 7799. https://doi.org/10.3390/s24237799.

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Traditional medical image sensors face multiple challenges. First, these sensors typically rely on large amounts of labeled data, which are time-consuming and costly to obtain. Second, when the data volume and image size are large, traditional sensors have limited computational power, making it difficult to effectively train and infer models. Additionally, traditional sensors have poor generalization ability and struggle to adapt to datasets with different modalities. This paper devises a novel framework, named LSDSL, and deploys it in the sensor. LSDSL utilizes low-quality sensor data for sem

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Mane, Dhiraj Kumar, Sheela Hundekari, Prakash M. Durgawale, Manish Khodaskar, Aditi Lule, and Shailesh Kulkarni. "Robust and energy-efficient authentication protocols for medical sensor networks." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 2 (2024): 383–95. http://dx.doi.org/10.47974/jdmsc-1895.

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The growing incorporation of medical sensor networks into healthcare systems has emphasized the crucial requirement for secure and energy-efficient authentication protocols. The purpose of this study is to present a new method called Sidechain-based Trusted Platform Module (s-TPM) authentication, which aims to overcome the inherent difficulties in ensuring the security of medical sensor networks. This study performs a thorough comparison of s-TPM with two well-established authentication protocols, LEAP and TinySec, across multiple evaluation parameters, such as security, energy efficiency, and

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Ali, Shokat, Ravi Pratap Singh, Mohd Javaid, et al. "A Review of the Role of Smart Wireless Medical Sensor Network in COVID-19." Journal of Industrial Integration and Management 05, no. 04 (2020): 413–25. http://dx.doi.org/10.1142/s2424862220300069.

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The new global predicament situation has raised questions on our healthcare systems and its endurance to deliver quality medical services. It is for those tormented with COVID-19 and other patients suffering from other chronic, acute, trauma, and other communicable diseases while shielding the doctors, nurses, and other associated medical employees when treating the patients. The immense adaptation to sensors networks demonstrates its usefulness as a tool for the present so-called social distancing in the clinical monitoring of COVID-19 patients or other settings. The utilization of Wireless M

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Guo, Rui, Qiaoyan Wen, Zhengping Jin, and Hua Zhang. "An Efficient and Secure Certificateless Authentication Protocol for Healthcare System on Wireless Medical Sensor Networks." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/761240.

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Sensor networks have opened up new opportunities in healthcare systems, which can transmit patient’s condition to health professional’s hand-held devices in time. The patient’s physiological signals are very sensitive and the networks are extremely vulnerable to many attacks. It must be ensured that patient’s privacy is not exposed to unauthorized entities. Therefore, the control of access to healthcare systems has become a crucial challenge. An efficient and secure authentication protocol will thus be needed in wireless medical sensor networks. In this paper, we propose a certificateless auth

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Hidayaturrohman, Qisthi Alhazmi, M. Arifudin Lukmana, and Akhmad Nidhomuz Zaman. "Design of human heartbeat monitoring system based on wireless sensor networks." Techné : Jurnal Ilmiah Elektroteknika 22, no. 2 (2023): 207–16. http://dx.doi.org/10.31358/techne.v22i2.354.

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The IoT technology plays an important role in Industry 4.0 revolution. The IoT technology has potential to be implemented in the medical industry, especially for the development of telemedicine system. IoT able to send the medical sensor data wirelessly to the nearest medical facility like hospital. In this research, the author designed the heart beat monitoring system by using 802.11 communication protocol and simple web interface. The pulse sensor that used in this research was able to read the pulse rate of the human and convert it to BPM (beat per minute). It has 98.89% accuracy and 1.11%

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Abedi, Saied. "Methods for Interference Management in Medical Wireless Sensor Networks." Journal of Communications Software and Systems 4, no. 3 (2008): 202. http://dx.doi.org/10.24138/jcomss.v4i3.220.

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Emerging Medical Body Area Networks (MBANs) require new, protected spectrum for clinical applications. This may mean uncoordinated and autonomous operation of multiple MBANs, within the new candidate bands. The question is that how will MBANs coexist as a secondary service with other radio systems? Clinical environment requires balance of robust and efficient wireless techniques to enable coexistence of MBANs and other radio devices where low transmission power MBANs as secondary systems may be vulnerable to interference from incumbent devices transceivers. Physical separation between the MBAN

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Vallejos de Schatz, Cecilia H., Henry Ponti Medeiros, Fabio K. Schneider, and Paulo J. Abatti. "Wireless Medical Sensor Networks: Design Requirements and Enabling Technologies." Telemedicine and e-Health 18, no. 5 (2012): 394–99. http://dx.doi.org/10.1089/tmj.2011.0169.

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Bao, Shudi, C. Y. Poon Carmen, Lianfeng Shen, and Yuanting Zhang. "Authenticated symmetric-key establishment for medical body sensor networks." Journal of Electronics (China) 24, no. 3 (2007): 421–27. http://dx.doi.org/10.1007/s11767-006-0152-z.

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Wei, Zhe, Shuyan Yu, and Wancheng Ma. "Defending against Internal Attacks in Healthcare-Based WSNs." Journal of Healthcare Engineering 2021 (December 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/2081246.

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In view of the spatiotemporal limitations of traditional healthcare services, the use of wireless communication has become one of the main development directions for the medical system. Compared with the traditional methods, applying the potential and benefits of the wireless sensor networks has more advantages such as low cost, simplicity, and flexible data acquisition. However, due to the limited resources of the individual wireless sensor nodes, traditional security solutions for defending against internal attacks cannot be directly used in healthcare based wireless sensor networks. To addr

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Hameed, Bilal Hashim, Anmar Yahya Taher, Raed Khalid Ibrahim, Adnan Hussein Ali, and Yasser Adnan Hussein. "Based on mesh sensor network: design and implementation of security monitoring system with Bluetooth technology." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (2022): 1781. http://dx.doi.org/10.11591/ijeecs.v26.i3.pp1781-1790.

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One of the most <span>critical aspects to consider in wireless sensor networks is security, particularly in internet of things (IoT) implementations. Sensor network applications had risen in the past 5 years since these networks have been used in various parts of life (smart residential and commercial buildings, medical, and agriculture). In this study, we provide a novel network of sensors based on the Bluetooth network that may be used to protect commercial buildings. The Bluetooth type HC 06 was chosen since it has a low energy consumption and a communication range of 100 meters. Such

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Mishra, Amitabh, Lucas S. Liberman, and Nagaraju Brahamanpally. "An Optimal, Power Efficient, Internet of Medical Things Framework for Monitoring of Physiological Data Using Regression Models." Sensors 24, no. 11 (2024): 3429. http://dx.doi.org/10.3390/s24113429.

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The sensors used in the Internet of Medical Things (IoMT) network run on batteries and need to be replaced, replenished or should use energy harvesting for continuous power needs. Additionally, there are mechanisms for better utilization of battery power for network longevity. IoMT networks pose a unique challenge with respect to sensor power replenishment as the sensors could be embedded inside the subject. A possible solution could be to reduce the amount of sensor data transmission and recreate the signal at the receiving end. This article builds upon previous physiological monitoring studi

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Aguilar, Paulo Armando Cavalcante, Jerome Boudy, Dan Istrate, et al. "Evidential Network-Based Multimodal Fusion for Fall Detection." International Journal of E-Health and Medical Communications 4, no. 1 (2013): 46–60. http://dx.doi.org/10.4018/jehmc.2013010105.

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The multi-sensor fusion can provide more accurate and reliable information compared to information from each sensor separately taken. Moreover, the data from multiple heterogeneous sensors present in the medical surveillance systems have different degrees of uncertainty. Among multi-sensor data fusion techniques, Bayesian methods and Evidence theories such as Dempster-Shafer Theory (DST) are commonly used to handle the degree of uncertainty in the fusion processes. Based on a graphic representation of the DST called Evidential Networks, we propose a structure of heterogeneous multi-sensor fusi

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