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14th Annual IEEE International conference on Wearable and Implantable Body sensor Networks (BSN)

作者： Yu, Ruoxi Mak, Tony W. C. Zhang, Ruikai Wong, Sunny H. Zheng, Yali Lau, James Y. W. Poon, Carmen C. Y. Chinese Univ Hong Kong Dept Surg Shatin Hong Kong Peoples R China Chinese Univ Hong Kong State Key Lab Digest Dis Inst Digest Dis Dept Med & TherapeutLi Ka Slung Inst Hlth Sci Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781509062447

Body sensors are now commonly used as ingestible, wearable and implantable devices for clinical diagnosis and continuous physiological monitoring. Nevertheless, they usually have limited resources. Recent advancements in technologies provide a possible solution to mitigate the resource limitation of these devices by connecting them with mobile devices and cloud services. To evaluate the feasibility of the cloud-enabled body sensor networks, this paper presents simulation results on testing the feasibility of 24-hour operating time and concurrent user support for the cloud-enabled applications.

关键词： Cloud computing biomedical monitoring Mobile handsets Monitoring Body sensor networks Wearable sensors

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Performance study of flexible temperature sensor based on carbon sensitive material 10th

Performance study of flexible temperature sensor based on ca...

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10th China Academic conference on Printing and Packaging, 2019

作者： Shi, Yue Huang, Shilin Sun, Zhicheng Wang, Wei Liu, Ruping Institute of Printing and Packaging Engineering Beijing Institute of Graphic Communication Beijing China

ISBN: (纸本)9789811518638

In this study, a flexible film temperature sensor was fabricated by screen printing technology. The temperature sensor was fabricated by firstly printing nano-silver conductive ink and sequentially carbon temperature sensitive ink onto a flexible polyethylene terephthalate (PET) substrate. By changing the proportion of nano-carbon black in the temperature sensitive ink and the sintering temperature of the nano-silver conductive ink, the effects on the conductivity and temperature sensitivity of the flexible film sensor were investigated, and the linearity, hysteresis and stability of the prepared sensor were verified. When the sintering temperature of silver electrode based on PET film was 130 °C, the electrode square resistance was 10.2 mΩ/. When the ambient temperature varies between 25 and 75 °C, the resistance of the temperature sensor decreases as the amount of nano-carbon black added increases. Besides, the flexible temperature sensor shows high linearity and good stability. By virtue of the flexibility, simple preparation process and low cost, this flexible temperature sensor that can be found useful in a certain range of applications, including wearable devices, biomedical devices, smart packaging and smart house. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Temperature sensors

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Impedance biosensor for the rapid detection of Listeria spp. based on aptamer functionalized Pt-interdigitated microelectrodes array 13

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conference on smart biomedical and physiological sensor technology xiII

作者： Sidhu, R. Rong, Y. Vanegas, D. C. Claussen, J. McLamore, E. S. Gomes, C. Texas A&M Univ Biol & Agr Engn College Stn TX 77843 USA Univ Florida Dept Agr & Biol Engn Gainesville FL 32611 USA Univ Valle Dept Food Engn Cali Colombia Iowa State Univ Dept Mech Engn Ames IA USA

ISBN: (纸本)9781510601048

Listeria monocytogenes is one of the most common causes of food illness deaths worldwide, with multiple outbreaks in the United States alone. Current methods to detect foodborne pathogens are laborious and can take several hours to days to produce results. Thus, faster techniques are needed to detect bacteria within the same reliability level as traditional techniques. This study reports on a rapid, accurate, and sensitive aptamer biosensor device for Listeria spp. detection based on platinum interdigitated array microelectrodes (Pt-IDEs). Pt-IDEs with different geometric electrode gaps were fabricated by lithographic techniques and characterized by cyclic voltammetric (CV), electrochemical impedance spectroscopy (EIS), and potential amperometry (DCPA) measurements of reversible redox species. Based on these results, 50 mu m Pt-IDE was chosen to further functionalize with a Listeria monocytogenes DNA aptamer selective to the cell surface protein internalin A, via metal-thiol self-assembly at the 5' end of the 47-mer's. EIS analysis was used to detect Listeria spp. without the need for label amplification and pre-concentration steps. The optimized aptamer concentration of 800 nM was selected to capture the bacteria through internalin A binding and the aptamer hairpin structure near the 3' end. The aptasensor was capable of detecting a wide range of bacteria concentration from 10 to 106 CFU/mL at lower detection limit of 5.39 +/- 0.21 CFU/mL with sensitivity of 268.1 +/- 25.40 (Ohms/log [CFU/mL]) in 17 min. The aptamer based biosensor offers a portable, rapid and sensitive alternative for food safety applications with one of the lowest detection limits reported to date.

关键词： Aptasensor lab-on-a-chip pathogen detection food safety impedimetric sensor

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A monolithically integrated platform for high throughput cell characterization and drug screening

A monolithically integrated platform for high throughput cel...

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TRANSDUCERS 2009 - 15th International conference on Solid-State sensors, Actuators and Microsystems

作者： Ji, Xu Yang, Lin Wei, Zewen Wang, Lu xi, Jianzhong Li, Zhihong National Key Laboratory of Micro/Nano Fabrication Technology Institute of Microelectronics Peking University Beijing China Biomedical Engineering Center College of Engineering Peking University Beijing China

ISBN: (纸本)9781424441938

Real-time physiological properties' characterization of living cells is important for bio-engineering applications such as drug screening. In this paper, we propose an integrated platform to automatically characterize muscle cell mechanics under a variety of culture conditions and drug stimuli in parallel. A Post-CMOS process is developed to fabricate the integrated chip, and then living muscle cells self-assembled on the surface directed by the gold pattern. Preliminary experiment validates feasibility of the procedure. Finally, chip-level packaging is performed using a PDMS cap and a plastic tube. ©2009 IEEE.

关键词： Self assembly

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Editorial Special Issue on sensors for Noninvasive physiological Monitoring

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IEEE sensorS JOURNAL 2012年第3期12卷 413-415页

作者： Lay-Ekuakille, Aime Davis, Cristina Kanoun, Olfa Li, Zhihong Trabacca, Antonio Univ Salento Dept Innovat Engn I-73100 Lecce Italy Univ Calif Davis Dept Mech & Aeronaut Engn Davis CA 95616 USA Tech Univ Chemnitz D-09126 Chemnitz Germany Peking Univ Microelect Inst Microelect Beijing 100871 Peoples R China Sci Inst IRCCS E Medea Unit Neurorehabil I-23842 Bosisio Parini Lecco Italy

The need for noninvasive physiological monitoring has been a goal for some time, but there were many technical limitations in the past that limited development of this new category of tools. Some of these limitations have now been solved and addressed thanks to new discoveries and advances in the fields of measurement technology, material science, micro/nanotechnologies, electronics, signal processing, diagnosis approaches, and image processing capabilities – just to name a few. The aforementioned advances allow us to noninvasively monitor many physiological parameters and to develop new devices and instrumentation to examine the function of many diverse physiological systems, namely, heart, brain, foetus, body motion, kidney, blood, breathing, lungs, skin, eyes – again, naming only a few applications. This Special Issue has shown the interest of international scientific community working on the topic, and we received manuscript submissions on almost every topic of noninvasive sensing, including: technology infrastructure, software issues, sensors and sensing systems. Wireless sensor networks are particularly interesting, and there is an urgent and growing need for this technology in the area of health monitoring and medical telemetry. This has been greatly facilitated by advances in the biological sensor research area. Health monitoring for both routine and critical life-threatening purposes may both be equally of interest, and there are still remaining technical constraints that should be studied in more depth, including: lowering overall power consumption, increased security measures for critical data, adaptability to various network configurations, increased data throughput, and message latency. Seeing the index of works that were selected for final publication, most of subtopics of the call for papers have been covered by very high quality contributions.

关键词： Special issues and sections Noninvasive treatment biomedical monitoring Physiology

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Intelligent Home Control System Based on physiological Signal Recognition 6

Intelligent Home Control System Based on Physiological Signa...

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6th IEEE International conference on Intelligent Computing and Signal Processing, ICSP 2021

作者： Lu, Shuyuan Dong, Yangrui Qi, Jin Yuan, Yupu Northwest University College of Information Science and Technology Xi'an710127 China

ISBN: (纸本)9780738143705

Various intelligent home control systems have been extensively studied and applied. However, few researches focused on intelligent home control based on physiological signal recognition. The intelligent home control system is designed based on physiological signals such as electroencephalogram (EEG), electrooculogram (EOG) and electromyogram (EMG). A EEG wearable device designed, which uses the TGAM (ThinkGear AM) Brain Wave sensor Chip to collect and preprocess signals. The Raspberry Pi extracts the control signals. In addition, the STM32 controls the intelligent home sand table model. Besides, the Bluetooth communication and serial communication are used to realize a split design. A combination of Wavelet Transform (WT) and Fourier Transform (FT) is proposed to extract the features of the control signals. An effective method for improving the accuracy of EMG signals classification is Support Vector Machine (SVM) with linear kernel (Linear SVM). Therefore, EMG signals are recognized by Linear SVM classification. This system is stable, accurate and easy to operate, which can be widely used in the field of new smart home. © 2021 IEEE.

关键词： Control systems

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Phantom-based evaluation of a planar microwave sensor for non-invasive intracranial pressure monitoring

Phantom-based evaluation of a planar microwave sensor for no...

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IEEE MTT-S International Microwave biomedical conference (IMBioC)

作者： Perez, Mauricio D. Avetisyan, Erik Mandal, Bappaditya Monorchio, Agostino Lewen, Anders Augustine, Robin Uppsala Univ Dept Elect Engn Uppsala Sweden Pisa Univ Dept Informat Engn Pisa Italy

ISBN: (纸本)9781665492171

Intracranial pressure (ICP) measurements are essential to improve current clinical decision schemes in different scenarios: hospital, home, sports field, military field, etc. ICP is fundamental for understanding cerebrospinal fluid (CSF) mechanics and modelling better physiological conditions. Nowadays, several studies have focused on developing non-invasive ICP monitoring methods (nICP) based on different sensing modalities with advantages and disadvantages. Some works have focused on microwave-based sensing;among them is the application of NASA SansEC spectroscopy technology. This work extends previous results on this technology to nICP. Notably, in a simple phantom-based experiment and with a square spiral planar resonator sensor, pressure values up to 48 mmHg could be achievable. The phantom-based experiment consists of a large column tank gradually filled with a liquid that mimics the cerebrospinal fluid (CSF) based on data from the Italian database IFAC. Microwave-based methods for non-invasive intracranial pressure monitoring could be instrumental as tools that can be easily embedded and worn and give indications of brain health to trigger proper care in the future.

关键词： intracranial pressure non-invasive methods microwave sensors planar sensors spiral resonators

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physiological signal monitoring in the waiting areas of an emergency room 3

Physiological signal monitoring in the waiting areas of an e...

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3rd International ICST conference on Body Area Networks, BODYNETS 2008

作者： Curtis, Dorothy Shih, Eugene Waterman, Jason Guttag, John Bailey, Jacob Stair, Thomas Greenes, Robert A. Ohno-Machado, Lucila Massachusetts Institute of Technology CSAIL CambridgeMA United States Brigham and Women's Hospital Emergency Department BostonMA United States Arizona State University Department of Biomedical Informatics PhoenixAZ United States Brigham and Women's Hospital Decision Systems Group BostonMA United States

ISBN: (纸本)9789639799172

The Scalable Medical Alert and Response technology (smart) System was developed to monitor physiological signals from patients in the waiting areas of an emergency department. The system monitors the SpO2 (oxygenation level in the blood), ECG (electrical activity of the heart) and the location of multiple patients wirelessly. It was deployed at the Brigham and Women's Hospital in Boston, MA, between June, 2006, and December, 2007. This paper describes the overall architecture, the sensors used, challenges in deploying this technology in a hospital and the degree of patient acceptance. Some sections of this article are based on an article first published in the Journal of the American Medical Informatics Association (J Am Med Inform Assn: 2008;1) [7]. Copyright © 2008 ICST.

关键词： sensor networks

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smart monitoring of user's health at home: Performance evaluation and signal processing of a wearable sensor for the measurement of Heart Rate and Breathing Rate 9

Smart monitoring of user's health at home: Performance evalu...

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9th International conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2016 - Part of 9th International Joint conference on biomedical Engineering Systems and Technologies, BIOSTEC 2016

作者： Casaccia, Sara Pietroni, Filippo Calvaresi, Andrea Revel, Gian Marco Scalise, Lorenzo Dipartimento di Ingegneria Industriale e Scienze Matematiche Università Politecnica delle Marche Ancona Italy

ISBN: (纸本)9789897581700

Nowadays, the monitoring of users' health status is possible by means of smart sensing devices at low-cost and with high measuring capabilities. Wearable devices are able to acquire multiple physiological and physical waveforms and are equipped with on-board algorithms to process these signals and extract the required quantities. However, the performance of such processing techniques should be evaluated and compared to different approaches, e.g. processing of the raw waveforms acquired. In this paper, the authors have performed a metrological characterization of a commercial wearable monitoring device for the continuous acquisition of physiological quantities (e.g. Heart Rate - HR and Breathing Rate - BR) and raw waveforms (e.g. Electrocardiogram - ECG). The aim of this work is to compare the performance of the onboard processing algorithms for the calculation of HR and BR with a novel approach applied to the raw signals. Results show that the HR values provided by the device are accurate enough (±2.1 and ±2.8 bpm in static and dynamic tests), without the need of additional processing. On the contrary, the implementation of the dedicated processing technique for breathing waveform allows to compute accurate BR values (±2.1 bpm with respect to standard equipment). Copyright © 2016 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Wearable sensors

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Wireless sensor Networks for Sports Injury Management and Player Safety Enhancement

Wireless Sensor Networks for Sports Injury Management and Pl...

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2023 International conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Bashkaran, K. Selvarasu, S. Valarmathy, S. Radhika, K. Muthulekshmi, M. Kongunadu College of Engineering and Technology Department of Biomedical Engineering Tamil Nadu Thottium India Sri Shanmugha College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Salem India Vinayaka Mission's Kirupananda Variyar Engineering College Department of Electronics and Communication Engineering Tamil nadu Salem India Muthayammal Engineering College Department of Electronics and Communication Engineering Tamil Nadu Rasipuram India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350300857

Injuries in sports may be better managed, and player safety can be improved by using wireless sensor networks. All aspects of a player's performance may be tracked in realtime because of these networks' capacity for collecting, analyzing, and communicating data. Heart rate, body temperature, acceleration, and joint movement are just a few of the physiological and biomechanical factors investigated in this paper and relates to the use of wearable sensors and smart devices to monitor these variables. The data are sent wirelessly to a central system where sophisticated analytics are used to identify risks for injuries, track trends in performance, and allow for prompt action. Given the potential benefits to players' health and performance, the proposed system might bring to sports medicine, it's easy to view why it's getting so much attention. It suggests wireless sensor networks and the Internet of Things may work together to improve sports safety and injury prevention. © 2023 IEEE.

关键词： Wireless sensor networks

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