Journal articles: 'Wearable wireless sensor'

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Park, Young-Geun, Sangil Lee, and Jang-Ung Park. "Recent Progress in Wireless Sensors for Wearable Electronics." Sensors 19, no. 20 (October 9, 2019): 4353. http://dx.doi.org/10.3390/s19204353.

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The development of wearable electronics has emphasized user-comfort, convenience, security, and improved medical functionality. Several previous research studies transformed various types of sensors into a wearable form to more closely monitor body signals and enable real-time, continuous sensing. In order to realize these wearable sensing platforms, it is essential to integrate wireless power supplies and data communication systems with the wearable sensors. This review article discusses recent progress in wireless technologies and various types of wearable sensors. Also, state-of-the-art research related to the application of wearable sensor systems with wireless functionality is discussed, including electronic skin, smart contact lenses, neural interfaces, and retinal prostheses. Current challenges and prospects of wireless sensor systems are discussed.

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Song, Yu, Jihong Min, You Yu, Haobin Wang, Yiran Yang, Haixia Zhang, and Wei Gao. "Wireless battery-free wearable sweat sensor powered by human motion." Science Advances 6, no. 40 (September 2020): eaay9842. http://dx.doi.org/10.1126/sciadv.aay9842.

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Wireless wearable sweat biosensors have gained huge traction due to their potential for noninvasive health monitoring. As high energy consumption is a crucial challenge in this field, efficient energy harvesting from human motion represents an attractive approach to sustainably power future wearables. Despite intensive research activities, most wearable energy harvesters suffer from complex fabrication procedures, poor robustness, and low power density, making them unsuitable for continuous biosensing. Here, we propose a highly robust, mass-producible, and battery-free wearable platform that efficiently extracts power from body motion through a flexible printed circuit board (FPCB)–based freestanding triboelectric nanogenerator (FTENG). The judiciously engineered FTENG displays a high power output of ~416 mW m−2. Through seamless system integration and efficient power management, we demonstrate a battery-free triboelectrically driven system that is able to power multiplexed sweat biosensors and wirelessly transmit data to the user interfaces through Bluetooth during on-body human trials.

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Aqueeb, Ahsan, Sayan Roy, Yichun Ding, Obiora Onyilagha, and Zhengtao Zhu. "On the Report of Performance Analysis of Electrospun Carbon Nanofibers based Strain Sensor for Applications in Human Motion Monitoring." Applied Computational Electromagnetics Society 35, no. 11 (February 4, 2021): 1324–25. http://dx.doi.org/10.47037/2020.aces.j.351131.

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Flexible and wearable sensors are currently being extensively used in versatile applications including wireless body area network. Specifically, such sensors are mostly incorporated to yield a linear response within their range of operations. A recently developed flexible and wearable resistive strain sensor made of electrospun carbon nanofibers has been reported with a gauge factor up to 72. In this paper, the performance of the strain sensor embedded in a polyurethane matrix was studied at first. A linear region of operation of such sensor was defined from direct measurements for wireless body area network applications. The equivalent analytical expressions were established and reported.

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Quwaider, Muhannad, and Subir Biswas. "Physical Context Detection using Wearable Wireless Sensor Networks." Journal of Communications Software and Systems 4, no. 3 (September 22, 2008): 191. http://dx.doi.org/10.24138/jcomss.v4i3.219.

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This paper presents the architecture of a wearable sensor network and a Hidden Markov Model (HMM) processingframework for stochastic identification of body postures andphysical contexts. The key idea is to collect multi-modal sensor data from strategically placed wireless sensors over a human subject’s body segments, and to process that using HMM in order to identify the subject’s instantaneous physical context. The key contribution of the proposed multi-modal approach is a significant extension of traditional uni-modal accelerometry in which only the individual body segment movements, without their relative proximities and orientation modalities, is used for physical context identification. Through real-life experiments with body mounted sensors it is demonstrated that while the unimodal accelerometry can be used for differentiating activityintensive postures such as walking and running, they are not effective for identification and differentiation between lowactivity postures such as sitting, standing, lying down, etc. In the proposed system, three sensor modalities namely acceleration, relative proximity and orientation are used for context identification through Hidden Markov Model (HMM) based stochastic processing. Controlled experiments using human subjects are carried out for evaluating the accuracy of the HMMidentified postures compared to a naïve threshold based mechanism over different human subjects.

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Mehmood, Amir, Adnan Nadeem, Kashif Rizwan, Nadeem Mahmood, and Ahmad Waqas. "A Study of Wearable Bio-Sensor Technologies and Applications in Healthcare." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 1 (June 30, 2017): 67. http://dx.doi.org/10.30537/sjcms.v1i1.9.

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In today’s world the rapid advancements in Micro-Electromechanical Systems (MEMS) and Nano technology have improved almost all the aspects of daily life routine with the help of different smart devices such as smart phones, compact electronic devices etc. The prime example of these emerging developments is the development of wireless sensors for healthcare procedures. One kind of these sensors is wearable bio-sensors. In this paper, the technologies of two types of bio-sensors (ECG, EMG) are investigated and also compared with traditional ECG, EMG equipment. We have taken SHIMMERTM wireless sensor platform as an example of wearable biosensors technology. We have investigated the systems developed for analysis techniques with SHIMMERTM ECG and EMG wearable bio-sensors and these biosensors are used in continuous remote monitoring. For example, applications in continuous health monitoring of elderly people, critical chronic patients and Fitness & Fatigue observations. Nevertheless, early fall detection in older adults and weak patients, treatment efficacy assessment. This study not only provides the basic concepts of wearable wireless bio-sensors networks (WBSN), but also provides basic knowledge of different sensor platforms available for patient’s remote monitoring. Also various healthcare applications by using bio-sensors are discussed and in last comparison with traditional ECG and EMG is presented.

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Yun, Inyeol, Jinpyeo Jeung, Mijung Kim, Young-Seok Kim, and Yoonyoung Chung. "Ultra-Low Power Wearable Infant Sleep Position Sensor." Sensors 20, no. 1 (December 20, 2019): 61. http://dx.doi.org/10.3390/s20010061.

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Numerous wearable sensors have been developed for a variety of needs in medical/healthcare/wellness/sports applications, but there are still doubts about their usefulness due to uncomfortable fit or frequent battery charging. Because the size or capacity of battery is the major factor affecting the convenience of wearable sensors, power consumption must be reduced. We developed a method that can significantly reduce the power consumption by introducing a signal repeater and a special switch that provides power only when needed. Antenna radiation characteristics are an important factor in wireless wearable sensors, but soft material encapsulation for comfortable fit results in poor wireless performance. We improved the antenna radiation characteristics by a local encapsulation patterning. In particular, ultra-low power operation enables the use of paper battery to achieve a very thin and flexible form factor. Also, we verified the human body safety through specific absorption rate simulations. With these methods, we demonstrated a wearable infant sleep position sensor. Infants are unable to call for help in unsafe situations, and it is not easy for caregivers to observe them all the time. Our wearable sensor detects infants’ sleep positions in real time and automatically alerts the caregivers when needed.

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Kovalska, Evgeniya, Anna Baldycheva, and Andrey Somov. "Wireless graphene-enabled wearable temperature sensor." Journal of Physics: Conference Series 1571 (July 2020): 012001. http://dx.doi.org/10.1088/1742-6596/1571/1/012001.

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Lim, Hyo-Ryoung, Yun-Soung Kim, Shinjae Kwon, Musa Mahmood, Young-Tae Kwon, Yongkuk Lee, Soon Min Lee, and Woon-Hong Yeo. "Wireless, Flexible, Ion-Selective Electrode System for Selective and Repeatable Detection of Sodium." Sensors 20, no. 11 (June 10, 2020): 3297. http://dx.doi.org/10.3390/s20113297.

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Wireless, flexible, ion-selective electrodes (ISEs) are of great interest in the development of wearable health monitors and clinical systems. Existing film-based electrochemical sensors, however, still have practical limitations due to poor electrical contact and material–interfacial leakage. Here, we introduce a wireless, flexible film-based system with a highly selective, stable, and reliable sodium sensor. A flexible and hydrophobic composite with carbon black and soft elastomer serves as an ion-to-electron transducer offering cost efficiency, design simplicity, and long-term stability. The sensor package demonstrates repeatable analysis of selective sodium detection in saliva with good sensitivity (56.1 mV/decade), stability (0.53 mV/h), and selectivity coefficient of sodium against potassium (−3.0). The film ISEs have an additional membrane coating that provides reinforced stability for the sensor upon mechanical bending. Collectively, the comprehensive study of materials, surface chemistry, and sensor design in this work shows the potential of the wireless flexible sensor system for low-profile wearable applications.

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Andersson, L. Mattias, Hironao Okada, Ryotaro Miura, Yi Zhang, Koji Yoshioka, Hiroshi Aso, and Toshihiro Itoh. "Wearable wireless estrus detection sensor for cows." Computers and Electronics in Agriculture 127 (September 2016): 101–8. http://dx.doi.org/10.1016/j.compag.2016.06.007.

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Jiang, Jie, Yun Liu, Fuxing Song, Ronghao Du, and Mengsen Huang. "The Routing Algorithm Based on Fuzzy Logic Applied to the Individual Physiological Monitoring Wearable Wireless Sensor Network." Journal of Electrical and Computer Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/546425.

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In recent years, the research of individual wearable physiological monitoring wireless sensor network is in the primary stage. The monitor of physiology and geographical position used in wearable wireless sensor network requires performances such as real time, reliability, and energy balance. According to these requirements, this paper introduces a design of individual wearable wireless sensor network monitoring system; what is more important, based on this background, this paper improves the classical Collection Tree Protocol and puts forward the improved routing protocol F-CTP based on the fuzzy logic routing algorithm. Simulation results illustrate that, with the F-CTP protocol, the sensor node can transmit data to the sink node in real time with higher reliability and the energy of the nodes consumes balance. The sensor node can make full use of network resources reasonably and prolong the network life.

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Torres, Juan, Braulio García-Cámara, Isabel Pérez, Virginia Urruchi, and José Sánchez-Pena. "Wireless Temperature Sensor Based on a Nematic Liquid Crystal Cell as Variable Capacitance." Sensors 18, no. 10 (October 12, 2018): 3436. http://dx.doi.org/10.3390/s18103436.

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Wireless communication is growing quickly and now allows technologies like the Internet of Things (IoT). It is included in many smart sensors helping to reduce the installation and system costs. These sensors increase flexibility, simplify deployment and address a new set of applications that was previously impossible with a wired approach. In this work, a wireless temperature sensor based on a nematic liquid crystal as variable capacitance is proposed as a proof of concept for potential wearable applications. Performance analysis of the wireless temperature sensor has been carried out and a simple equivalent circuit has been proposed. Sensor prototype has been successfully fabricated and demonstrated as the beginning of new biomedical sensors.

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Khan, Mohammad Monirujjaman, and Tabia Hossain. "Compact Planar Inverted F Antenna (PIFA) for Smart Wireless Body Sensors Networks." Engineering Proceedings 2, no. 1 (November 14, 2020): 63. http://dx.doi.org/10.3390/ecsa-7-08253.

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In this paper a dual band, a dual band Planar Inverted F antenna (PIFA) is designed for wireless communication intended to be used in wireless body sensor networks. The designed PIFA operates at two different frequency bands, 2.45 GHz Industrial, Scientific and Medical band (ISM) and 5.2 GHz (HiperLAN band). In body-centric wireless networks, antennas need to be integrated with wireless wearable sensors. An antenna is an essential part of wearable body sensor networks. For on-body communications, antennas need to be less sensitive to human body effects. For body-centric communications, wearable devices need to communicate with the devices located over the surface, and there is a need of communication from on-body devices to off-body units. Based on this need, a dual band planar inverted F antenna is designed that works at two different frequency bands, i.e., 2.45 GHz and 5.2 GHz. The 2.45 GHz is proposed for establishing communication among the wireless sensor devices attached to the human body, while 5.2 GHz is proposed for the communications for from on-body to off-body devices. The proposed antenna is very compact, and due to having ground plane at the backside it is less sensitive to the effects of the human body tissues. Computer Simulation Technology (CST) microwave studio™ was used for antenna design and simulation purposes. Performance parameters such as return loss, bandwidth, radiation pattern and efficiency of this antenna are shown and investigated. These performance parameters of the proposed antenna have been investigated at free space and close proximity to the human body. Simulation results and analysis show that the performance parameters produce very good results for both frequency bands. Due to its compact size, low sensitivity to human body tissues, and dual band functionality, it will be a good candidate for wireless wearable body sensor networks.

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Moon, Kee S., Sung Q. Lee, Yusuf Ozturk, Apoorva Gaidhani, and Jeremiah A. Cox. "Identification of Gait Motion Patterns Using Wearable Inertial Sensor Network." Sensors 19, no. 22 (November 18, 2019): 5024. http://dx.doi.org/10.3390/s19225024.

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Gait signifies the walking pattern of an individual. It may be normal or abnormal, depending on the health condition of the individual. This paper considers the development of a gait sensor network system that uses a pair of wireless inertial measurement unit (IMU) sensors to monitor the gait cycle of a user. The sensor information is used for determining the normality of movement of the leg. The sensor system places the IMU sensors on one of the legs to extract the three-dimensional angular motions of the hip and knee joints while walking. The wearable sensor is custom-made at San Diego State University with wireless data transmission capability. The system enables the user to collect gait data at any site, including in a non-laboratory environment. The paper also presents the mathematical calculations to decompose movements experienced by a pair of IMUs into individual and relative three directional hip and knee joint motions. Further, a new approach of gait pattern classification based on the phase difference angles between hip and knee joints is presented. The experimental results show a potential application of the classification method in the areas of smart detection of abnormal gait patterns.

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Xuan, Yun Dong, Zhan Zhao, Zhen Fang, Dao Qu Geng, and Yao Hong Shi. "3ACare: A Wireless Body Sensor Network for Health Alert and Monitoring." Advanced Materials Research 217-218 (March 2011): 1075–80. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1075.

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The development of Micro-ElectroMechanical Systems ,integrated circuits, wireless communications have resulted in the creation of miniature, ultra-low power, and wearable health monitoring system. The system can be defined as a Body Sensor Network that can be embedded in the user’s outfit as a part of the clothing .This 3ACare system is a wearable health monitoring and alert system which can give anyone health care at anytime and anywhere. The system continuously collects multiple vital signs by physiological sensors and evaluates the signs in a personal server such as a PDA. And the personal server transfers the data to a medical server center by 3G net or Internet. The doctor in the medical server center will give the patients message after they diagnosed the data.The paper describes the architecture of 3ACare and the details of the wireless body sensor network (WBSN) nodes and the test result.

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Shin, Gunchul. "Soft, Wirelessly Powered Humidity Sensor Based on SnO2 Nanowires for Wireless/Wearable Sensor Application." Materials 13, no. 9 (May 8, 2020): 2176. http://dx.doi.org/10.3390/ma13092176.

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Humidity, along with temperature, is one of the most important environmental variables in people’s lives. The control of humidity is an important matter that is related to material properties and stability in various industries, as well as basic living. In order to detect humidity, changes in the physical, chemical, and electrical properties of materials related to humidity are used, and studies using various methods are conducted. In this study, a field-effect transistor (FET) device was fabricated on a soft polymer substrate with SnO2 nanowires (NWs), whose electrical properties change in response to water molecules. The SnO2 NWs, synthesized by chemical vapor deposition (CVD), were transferred onto a polymer substrate, using a sliding transfer method. The NW FET device, which was connected to an aluminum (Al)-based radio frequency (RF) receiving antenna, was wirelessly operated as a humidity sensor, based on the change in electrical properties of SnO2 NWs according to the relative humidity (RH). It was configured with a wireless antenna and light emitting diode (LED) indicator to implement a soft wirelessly powered humidity sensor that senses high RH and is expected to be used as a wearable electronic/sensor in the future.

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Khan, Rahat Ali, and Al-Sakib Khan Pathan. "The state-of-the-art wireless body area sensor networks: A survey." International Journal of Distributed Sensor Networks 14, no. 4 (April 2018): 155014771876899. http://dx.doi.org/10.1177/1550147718768994.

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Wireless body area sensor network is a sub-field of wireless sensor network. Wireless body area sensor network has come into existence after the development of wireless sensor network reached some level of maturity. This has become possible due to the tremendous technological advancement leading to easy-to-use wireless wearable technologies and electronic components that are small in size. Indeed, this field has gained significant attention in recent time due to its applications which mostly are toward healthcare sector. Today, tiny-sized sensors could be placed on the human body to record various physiological parameters and these sensors are capable of sending data to other devices so that further necessary actions could be taken. Hence, this can be used for diagnosis of disease and for developing serious health-complication alert systems. Considering this recent hot topic, the intent of this work is to present the state-of-the-art of various aspects of wireless body area sensor network, its communication architectures, wireless body area sensor network applications, programming frameworks, security issues, and energy-efficient routing protocols. We have tried to cover the latest advancements with some discussion on the available radio technologies for this type of network. Future visions and challenges in this area are also discussed.

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Venneti, Kiran, M. Lenin, and D. Archana Thilagavathy. "Ban Technology Based Wearable Wireless Sensors for Real-Time Environments." Applied Mechanics and Materials 573 (June 2014): 381–87. http://dx.doi.org/10.4028/www.scientific.net/amm.573.381.

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In recent years, there is a pressing need for energy conservation measures against power shortages. It is important to create a relaxed and healthy environment in order to improve the quality of life as well as the effectiveness of work. We get into the revolution concept of BAN (Body Area Network), In order to provide suitable personalized services, human information data needs to be monitored and analyzed. We have developed a wearable sensing system which measures biological data and activity data in daily life using body area network technologies. Like, air conditioning to control thermal environment uses a lot of (non-renewable) electric power. In focus to achieve a good balance between energy consumption and comfortable feeling for human, and a smart system to control thermal environment intelligently has been required. This paper proposes the smart system that estimates individual thermal comfort using skin wearable wireless sensors along with we will do longer-term measurements for data accumulation through data logger with the support of IEEE802.15.6.Here we utilize some key sensors are used like skin temperature sensor and ECG sensors and indoor monitoring through Thermo hygrometer to measure the humidity. Skin temperature will be improved to worn in suits and maximize to hide the load, and every sensor informations are connected to data monitoring server for human conditional analysis.

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Liu, Xu, Chen Tang, Xiaohan Du, Shuai Xiong, Siyuan Xi, Yuefeng Liu, Xi Shen, et al. "A highly sensitive graphene woven fabric strain sensor for wearable wireless musical instruments." Materials Horizons 4, no. 3 (2017): 477–86. http://dx.doi.org/10.1039/c7mh00104e.

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Li, Hongru, Guiling Sun, Yue Li, and Runzhuo Yang. "Wearable Wireless Physiological Monitoring System Based on Multi-Sensor." Electronics 10, no. 9 (April 21, 2021): 986. http://dx.doi.org/10.3390/electronics10090986.

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The purpose of wearable technology is to use multimedia, sensors, and wireless communication to integrate specific technology into user clothes or accessories. With the help of various sensors, the physiological monitoring system can collect, process, and transmit physiological signals without causing damage. Wearable technology has been widely used in patient monitoring and people’s health management because of its low-load, mobile, and easy-to-use characteristics, and it supports long-term continuous work and can carry out wireless transmissions. In this paper, we established a Wi-Fi-based physiological monitoring system that can accurately measure heart rate, body surface temperature, and motion data and can quickly detect and alert the user about abnormal heart rates.

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Khan, Saleem, Shawkat Ali, and Amine Bermak. "Recent Developments in Printing Flexible and Wearable Sensing Electronics for Healthcare Applications." Sensors 19, no. 5 (March 11, 2019): 1230. http://dx.doi.org/10.3390/s19051230.

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Wearable biosensors attract significant interest for their capabilities in real-time monitoring of wearers’ health status, as well as the surrounding environment. Sensor patches are embedded onto the human epidermis accompanied by data readout and signal conditioning circuits with wireless communication modules for transmitting data to the computing devices. Wearable sensors designed for recognition of various biomarkers in human epidermis fluids, such as glucose, lactate, pH, cholesterol, etc., as well as physiological indicators, i.e., pulse rate, temperature, breath rate, respiration, alcohol, activity monitoring, etc., have potential applications both in medical diagnostics and fitness monitoring. The rapid developments in solution-based nanomaterials offered a promising perspective to the field of wearable sensors by enabling their cost-efficient manufacturing through printing on a wide range of flexible polymeric substrates. This review highlights the latest key developments made in the field of wearable sensors involving advanced nanomaterials, manufacturing processes, substrates, sensor type, sensing mechanism, and readout circuits, and ends with challenges in the future scope of the field. Sensors are categorized as biological and fluidic, mounted directly on the human body, or physiological, integrated onto wearable substrates/gadgets separately for monitoring of human-body-related analytes, as well as external stimuli. Special focus is given to printable materials and sensors, which are key enablers for wearable electronics.

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Patiño, Astrid García, and Carlo Menon. "Inductive Textile Sensor Design and Validation for a Wearable Monitoring Device." Sensors 21, no. 1 (January 1, 2021): 225. http://dx.doi.org/10.3390/s21010225.

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Textile sensors have gained attention for wearable devices, in which the most popular are the resistive textile sensor. However, these sensors present high hysteresis and a drift when stretched for long periods of time. Inductive textile sensors have been commonly used as antennas and plethysmographs, and their applications have been extended to measure heartbeat, wireless data transmission, and motion and gesture capturing systems. Inductive textile sensors have shown high reliability, stable readings, low production cost, and an easy manufacturing process. This paper presents the design and validation of an inductive strain textile sensor. The anthropometric dimensions of a healthy participant were used to define the maximum dimensions of the inductive textile sensor. The design of the inductive sensor was studied through theoretical calculations and simulations. Parameters such as height, width, area, perimeter, and number of complete loops were considered to calculate and evaluate the inductance value.

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Kumar, Sunil, Kashyap Kambhatla, Fei Hu, Mark Lifson, and Yang Xiao. "Ubiquitous Computing for Remote Cardiac Patient Monitoring: A Survey." International Journal of Telemedicine and Applications 2008 (2008): 1–19. http://dx.doi.org/10.1155/2008/459185.

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New wireless technologies, such as wireless LAN and sensor networks, for telecardiology purposes give new possibilities for monitoring vital parameters with wearable biomedical sensors, and give patients the freedom to be mobile and still be under continuous monitoring and thereby better quality of patient care. This paper will detail the architecture and quality-of-service (QoS) characteristics in integrated wireless telecardiology platforms. It will also discuss the current promising hardware/software platforms for wireless cardiac monitoring. The design methodology and challenges are provided for realistic implementation.

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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 (December 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 used fairly simple models to generate the mobile topological graph, which bear little resemblance to the actual mobility patterns. This paper is the first attempt to investigate the mobility model in WBSN based on the existing mobility models in wireless data networks and ad hoc networks. We first briefly review the existing mobility models in related research areas such as wireless ad hoc network and cellular networks. Further on, we propose a dedicated and more realistic mobility model named BAMM (Body Area Mobility Model) for wireless body sensor networks by concentrating on the unique characteristics of WBSN and finally study the effects of mobility on the performance of WBSN by simulation experiments.

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Niswar, Muhammad, Muhammad Nur, and Idar Mappangara. "A Low Cost Wearable Medical Device for Vital Signs Monitoring in Low-Resource Settings." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (August 1, 2019): 2321. http://dx.doi.org/10.11591/ijece.v9i4.pp2321-2327.

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Medical devices are often expensive, so people in low-income countries cannot afford them. This paper presents the design of a low-cost wearable medical device to measure vital signs of a patient including heart rate, blood oxygen saturation level (SpO2) and respiratory rate. The wearable medical device mainly consists of a microcontroller and two biomedical sensors including airflow thermal sensor to measure respiratory rate and pulse oximeter sensor to measure SpO2 and heart rate. We can monitor the vital signs from a smartphone using a web browser through IEEE802.11 wireless connectivity to the wearable medical device. Furthermore, the wearable medical device requires simple management to operate; hence, it can be easily used. Performance evaluation results show that the designed wearable medical device works as good as a standard SpO2 device and it can measure the respiratory rate properly. The designed wearable medical device is inexpensive and appropriate for low-resource settings. Moreover, as its components are commonly available in the market, it easy to assembly and repair locally.

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McCaldin, D., K. Wang, G. Schreier, N. H. Lovell, M. Marschollek, S. J. Redmond, and M. Schukat. "Unintended Consequences of Wearable Sensor Use in Healthcare." Yearbook of Medical Informatics 25, no. 01 (August 2016): 73–86. http://dx.doi.org/10.15265/iy-2016-025.

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Summary Objectives: As wearable sensors take the consumer market by storm, and medical device manufacturers move to make their devices wireless and appropriate for ambulatory use, this revolution brings with it some unintended consequences, which we aim to discuss in this paper. Methods: We discuss some important unintended consequences, both beneficial and unwanted, which relate to: modifications of behavior; creation and use of big data sets; new security vulnerabilities; and unforeseen challenges faced by regulatory authorities, struggling to keep pace with recent innovations.Where possible, we proposed potential solutions to unwanted consequences. Results: Intelligent and inclusive design processes may mitigate unintended modifications in behavior. For big data, legislating access to and use of these data will be a legal and political challenge in the years ahead, as we trade the health benefits of wearable sensors against the risk to our privacy. The wireless and personal nature of wearable sensors also exposes them to a number of unique security vulnerabilities. Regulation plays an important role in managing these security risks, but also has the dual responsibility of ensuring that wearable devices are fit for purpose. However, the burden of validating the function and security of medical devices is becoming infeasible for regulators, given the many software apps and wearable sensors entering the market each year, which are only a subset of an even larger ‘internet of things’. Conclusion: Wearable sensors may serve to improve wellbeing, but we must be vigilant against the occurrence of unintended consequences. With collaboration between device manufacturers, regulators, and end-users, we balance the risk of unintended consequences occurring against the incredible benefit that wearable sensors promise to bring to the world.

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Pereira, António, Nuno Costa, and Antonio Fernández-Caballero. "Special Issue on Body Area Networks." Applied Sciences 10, no. 10 (May 20, 2020): 3540. http://dx.doi.org/10.3390/app10103540.

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Heiduk, Tobias, Aye Min Thike, Peter S. Excell, and Ardeshir Osanlou. "A Wearable Wireless Sensor Network Node for Prevention of Physical Injuries." Annals of Emerging Technologies in Computing 3, no. 3 (July 1, 2019): 9–18. http://dx.doi.org/10.33166/aetic.2019.03.002.

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The economic burden of healthcare provision is continually rising. To combat this, targeted preventative measures have been proposed, together with encouragement of healthier lifestyle, enhanced health data collection and empowerment of patients in disease prevention and monitoring. A major cause of impairment is muscular strain and/or bone damage caused by sports injuries in the young, or falling in the elderly. To address such issues, a wearable wireless inertial sensor network is proposed which monitors body dynamics for probable disruptive incidents. The sensor node consists of a combined accelerometer, gyroscope and magnetometer, linked to a micro controller to gather information from the sensor and a wireless transceiver for communication with the network. A miniaturised wearable prototype was designed and realised in hardware.

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Saxena, Anurag, V. K. Singh, Mohini ., Sonam Bhardwaj, Gyoo Soo Chae, Ashis Sharma, and Akash Kumar Bhoi. "Rectenna circuit at 6.13 GHz to operate the sensor devices." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 644. http://dx.doi.org/10.14419/ijet.v7i2.33.14856.

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There are various types of transmission through wire and wireless but wireless power transmission is the transmission of electrical energy without using any conductor or lead. At resonant frequency, 6.13 GHz wearable antenna is fabricated and tested. For making wearable an-tenna, textile material (substrate) i.e. Jeans is used for the simulation having dielectric constant 1.7. At the places where it is hard to transmit energy, wearable antenna is best suitable for this purpose, but before doing this RF is converted into DC with the help of the rectifier. Vari-ous types of graph in this paper are shown in the comparison between the power and efficiency. For simulating and design purpose of an-tenna CST, software is used. Implementation of antenna with rectifier circuit is known as rectenna and the rectenna circuit can be designed in Pspice software.

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Zhang, He, Jiwei Zhang, Zhiwei Hu, Liwei Quan, Lin Shi, Jinkai Chen, Weipeng Xuan, Zhicheng Zhang, Shurong Dong, and Jikui Luo. "Waist-wearable wireless respiration sensor based on triboelectric effect." Nano Energy 59 (May 2019): 75–83. http://dx.doi.org/10.1016/j.nanoen.2019.01.063.

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Eid, Deiaa, Amr Yousef, and Ali Elrashidi. "ECG Signal Transmissions Performance over Wearable Wireless Sensor Networks." Procedia Computer Science 65 (2015): 412–21. http://dx.doi.org/10.1016/j.procs.2015.09.109.

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Nemati, Ebrahim, M. Deen, and Tapas Mondal. "A wireless wearable ECG sensor for long-term applications." IEEE Communications Magazine 50, no. 1 (January 2012): 36–43. http://dx.doi.org/10.1109/mcom.2012.6122530.

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Milici, Stefano, Antonio Lazaro, Ramon Villarino, David Girbau, and Marco Magnarosa. "Wireless Wearable Magnetometer-Based Sensor for Sleep Quality Monitoring." IEEE Sensors Journal 18, no. 5 (March 1, 2018): 2145–52. http://dx.doi.org/10.1109/jsen.2018.2791400.

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Dheman, Kanika, Philipp Mayer, Manuel Eggimann, Simone Schuerle, and Michele Magno. "ImpediSense:A long lasting wireless wearable bio-impedance sensor node." Sustainable Computing: Informatics and Systems 30 (June 2021): 100556. http://dx.doi.org/10.1016/j.suscom.2021.100556.

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THAMIZHMARAN, K. "ISSUES IN WEARABLE ELECTRONICS DEVICES FOR WIRELESS SENSOR NETWORK." i-manager's Journal on Communication Engineering and Systems 9, no. 1 (2020): 34. http://dx.doi.org/10.26634/jcs.9.1.17493.

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Komolafe, Wagih, Valavan, Ahmed, Stuikys, and Zaghari. "A Smart Cycling Platform for Textile-Based Sensing and Wireless Power Transfer in Smart Cities." Proceedings 32, no. 1 (December 4, 2019): 7. http://dx.doi.org/10.3390/proceedings2019032007.

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This paper proposes an integrated smart cycling system for assisted cycling, energy harvesting and wireless power transfer systems on a bicycle, an enabling platform for autonomous e-textiles-based sensing. The cyclist is assisted by a switched reluctance motor, which also acts as a switched reluctance generator that harvests a peak power of 7.5 W, at 10% efficiency during cycling to power on body sensors. To demonstrate wearable on-body sensing, a thin flexible CO2 gas sensor filament, which can be woven in fabric, is presented and evaluated. Wearable inductive resonant wireless power transfer (WPT) is achieved using textile embroidered coils on the bicycle’s handle and cycling gloves, achieving more than 80% WPT efficiency from the bicycle to the cyclist’s clothing, useful for powering mobile on-body sensors.

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Shoureshi, Rahmat A., and Christopher M. Aasted. "Wearable Hybrid Sensor Array for Motor Cortex Monitoring." Advances in Science and Technology 85 (September 2012): 23–27. http://dx.doi.org/10.4028/www.scientific.net/ast.85.23.

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As part of the goal of developing wearable sensor technologies, we have designed and built a hybrid sensor headset for monitoring brain activity. Through the use of electroencephalography (EEG) and near-infrared spectroscopy (NIRS), the sensor array is capable of monitoring neural activity across the primary motor cortex and wirelessly transmitting data to a computer for real-time processing to generate control signals, which are transmitted to wireless devices for various applications. This paper focuses on current results using this technology for artificial limb control and discusses the development of the headset as well as the neural networks employed for processing motor cortex activity and determining the user’s intentions. Initial results relevant to artificial limb control are presented and discussed, including the performance of the system when actuating an artificial limb with four degrees of freedom. Our headset provides a more natural control mechanism than traditional solutions, through the use of direct brain control. The technology resulting from this research is currently also being investigated for application in areas including phantom limb pain treatment, robotic arm control, general brain-computer interfaces, lie detection, and even a video game interface.

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Xu, Kaichen, Yusuke Fujita, Yuyao Lu, Satoko Honda, Mao Shiomi, Takayuki Arie, Seiji Akita, and Kuniharu Takei. "Wearable Sensors: A Wearable Body Condition Sensor System with Wireless Feedback Alarm Functions (Adv. Mater. 18/2021)." Advanced Materials 33, no. 18 (May 2021): 2170141. http://dx.doi.org/10.1002/adma.202170141.

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Fajingbesi, Fawwaz E., Rashidah F. Olanrewaju, Bisma Rasool Pampori, Sheroz Khan, and Mashkuri Yacoob. "Real Time Telemedical Health Care Systems with Wearable Sensors." Asian Journal of Pharmaceutical Research and Health Care 9, no. 3 (July 10, 2017): 138. http://dx.doi.org/10.18311/ajprhc/2017/14971.

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The time between detection and response to chronic diseases could go a long way in saving lives. The current trend in health monitoring systems is to move from the hospital centered device to eventually portable personal devices. Hence, Telemedical health care involves the remote delivery of medical care service to either out-of-hospital or admitted patients through wireless network and computer information technology. This paper systematically reviews the most recent works in telemedical health care system to propose a more efficient model. The focus is more on wearable sensors and devices with most attention given to cardiovascular patients in recent times. The huge literature available reflects the size of activity and attention given to telemedicine. The reviewed works are published within the last five years. Furthermore, the proposed systems are compared in terms of their connectivity, targeted application, type of sensor used, etc. Our study reveals Telemedicine to be a profound field with researchers from multidisciplinary sectors. However, there are still many gaps that need to be filled before maturity. Factors such as efficient wireless transmission, cyber data security, sensor design and integration, device miniaturization and intelligent algorithm for multi parameter data fusion require further considerations.

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Saraereh, Omar, Imran Khan, Byung Lee, and A. K. S. Al-Bayati. "Modeling and Analysis of Wearable Antennas." Electronics 8, no. 1 (December 21, 2018): 7. http://dx.doi.org/10.3390/electronics8010007.

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This paper describes a sheet-like transmission line for constructing a short-range wireless communication system using flexible materials such as clothing. As a new application of wireless communications, it is desired to construct a Personal Area Network (PAN) and a sensor network with a short distance communication area of about 1 m to 2 m. For such applications, a waveguide of a new structure is required which can exchange information at an arbitrary place on the waveguide, which has a flexible structure and limits the area for wireless communication. Therefore, by disposing the microstrip type resonators two-dimensionally with a two-layer structure and electromagnetically strongly coupling the resonators, the electromagnetic waves are confined well within the transmission line, and the antenna of the wireless device resonator is arranged. Furthermore, by constructing this transmission line with a sheet-like flexible wearable material, the transmission of both information and power can be performed through a thin flexible transmission line for the wearable network.

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Wang, Lian, and Geng Guo Cheng. "Design and Application of Medical Monitoring System Based on Android." Applied Mechanics and Materials 687-691 (November 2014): 990–93. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.990.

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With the development of information and communication technology and the advent of new technologies including wireless communication, smart handheld mobile terminals and wearable medical sensor detection technology, mobile medical care is facing its development opportunity. In this context, our medical monitoring system combines wireless communication technology with wearable medical sensor and designs a remote medical monitoring of multiple physiological parameters. With the support of Android devices, this system offers medical reports retrieval, online diagnosis and health guidelines. It provides users with multi-functional, instant, real-time monitoring and interactive medical services in a high efficient low cost way, which enables remote interrogation and medical care become possible.

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Zompanti, Alessandro, Marco Santonico, Luca Vollero, Simone Grasso, Anna Sabatini, Federico Mereu, Arnaldo D’Amico, and Giorgio Pennazza. "A Gas Sensor with BLE connectivity for Wearable Applications †." Proceedings 2, no. 13 (November 21, 2018): 765. http://dx.doi.org/10.3390/proceedings2130765.

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The technological development of the last few years in the field of integrated electronic components has encouraged the use of wearable electronic devices. In the biomedical field, this improvement allows the registration and analysis of numerous values, starting from environmental parameters up to the vital parameters of a subject, without interfering with the normal daily activities of the individual. In this context, the present work is focused on the design, development and evaluation of a low power wearable and wireless electronic interface able to acquire and transmit signals generated by a gas sensor, based on electrochemical technology, to monitor air quality through the measurement of O2 and CO2 concentration. Among the existing wireless technologies, it was decided to use Bluetooth Low Energy (BLE) as it allows data transmission to multiple types of external devices, such as PCs and smartphones with low power consumption.

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Watanabe, Takashi, Hiroki Saito, Eri Koike, and Kazuki Nitta. "A Preliminary Test of Measurement of Joint Angles and Stride Length with Wireless Inertial Sensors for Wearable Gait Evaluation System." Computational Intelligence and Neuroscience 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/975193.

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The purpose of this study is to develop wearable sensor system for gait evaluation using gyroscopes and accelerometers for application to rehabilitation, healthcare and so on. In this paper, simultaneous measurement of joint angles of lower limbs and stride length was tested with a prototype of wearable sensor system. The system measured the joint angles using the Kalman filter. Signals from the sensor attached on the foot were used in the stride length estimation detecting foot movement automatically. Joint angles of the lower limbs were measured with stable and reasonable accuracy compared to those values measured with optical motion measurement system with healthy subjects. It was expected that the stride length measurement with the wearable sensor system would be practical by realizing more stable measurement accuracy. Sensor attachment position was suggested not to affect significantly measurement of slow and normal speed movements in a test with the rigid body model. Joint angle patterns measured in 10 m walking with a healthy subject were similar to common patterns. High correlation between joint angles at some characteristic points and stride velocity were also found adequately. These results suggested that the wireless wearable inertial sensor system could detect characteristics of gait.

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Zhang, Changlun, Chao Li, and Jian Zhang. "A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks." Journal of Electrical and Computer Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/104286.

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With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in inner-cluster. Furthermore, a mechanism is given to locate the compromised nodes. The analysis shows that the model is robust to many attacks and has a lower communication overhead.

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Watanabe, Hyuma, Masatoshi Kawarasaki, Akira Sato, and Kentaro Yoshida. "Wearable ECG Monitoring and Alerting System Associated with Smartphone." International Journal of E-Health and Medical Communications 4, no. 4 (October 2013): 1–15. http://dx.doi.org/10.4018/ijehmc.2013100101.

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Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, the authors developed a wearable electrocardiographic (ECG) monitoring and alerting system “iHeart”. iHeart continuously monitors patient's ECG in his/her daily activities and issues an alert to the patient as well as surrounding people if it detects abnormal heart behaviour. iHeart consists of a wireless ECG sensor and a smartphone to achieve light-weighted, low-cost system that does not degrade the patient's Quality of Life. In parallel, the authors developed ECG analysis algorithm to detect R-wave as well as arrhythmia, and implemented these algorithms in wireless ECG sensor rather than in smartphone to save power consumption of ECG sensor caused by radio communication. The authors proof the practicality and usefulness of our system in clinical experiment. This paper describes the implementation of iHeart, evaluation experiment, and future requirements of the system.

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Darwish, Ashraf, and Aboul Ella Hassanien. "Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring." Sensors 11, no. 6 (May 26, 2011): 5561–95. http://dx.doi.org/10.3390/s110605561.

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Liu, G., C. Ho, N. Slappey, Z. Zhou, S. E. Snelgrove, M. Brown, A. Grabinski, et al. "A wearable conductivity sensor for wireless real-time sweat monitoring." Sensors and Actuators B: Chemical 227 (May 2016): 35–42. http://dx.doi.org/10.1016/j.snb.2015.12.034.

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Honglun, Hou, Huo Meimei, and Wu Minghui. "SENSOR-BASED WIRELESS WEARABLE SYSTEMS FOR HEALTHCARE AND FALLS MONITORING." International Journal on Smart Sensing and Intelligent Systems 6, no. 5 (2013): 2200–2216. http://dx.doi.org/10.21307/ijssis-2017-634.

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Lee, Seung-Chul, and Wan-Young Chung. "A robust wearable u-healthcare platform in wireless sensor network." Journal of Communications and Networks 16, no. 4 (August 2014): 465–74. http://dx.doi.org/10.1109/jcn.2014.000077.

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Brugarolas, Rita, Tahmid Latif, James Dieffenderfer, Katherine Walker, Sherrie Yuschak, Barbara L. Sherman, David L. Roberts, and Alper Bozkurt. "Wearable Heart Rate Sensor Systems for Wireless Canine Health Monitoring." IEEE Sensors Journal 16, no. 10 (May 2016): 3454–64. http://dx.doi.org/10.1109/jsen.2015.2485210.

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Milici, Stefano, Javier Lorenzo, Antonio Lazaro, Ramon Villarino, and David Girbau. "Wireless Breathing Sensor Based on Wearable Modulated Frequency Selective Surface." IEEE Sensors Journal 17, no. 5 (March 1, 2017): 1285–92. http://dx.doi.org/10.1109/jsen.2016.2645766.

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Journal articles on the topic 'Wearable wireless sensor'

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