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检索条件"任意字段=Conference on Smart Biomedical and Physiological Sensor Technology XIII"

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Staged Inference Using Conditional Deep Learning for Energy Efficient Real-Time smart Diagnosis 39

Staged Inference Using Conditional Deep Learning for Energy ...

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39th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Parsa, Maryam Panda, Priyadarshini Sen, Shreyas Roy, Kaushik Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)9781509028092

Recent progress in biosensor technology and wearable devices has created a formidable opportunity for remote healthcare monitoring systems as well as real-time diagnosis and disease prevention. The use of data mining techniques is indispensable for analysis of the large pool of data generated by the wearable devices. Deep learning is among the promising methods for analyzing such data for healthcare applications and disease diagnosis. However, the conventional deep neural networks are computationally intensive and it is impractical to use them in real-time diagnosis with low-powered on-body devices. We propose Staged Inference using Conditional Deep Learning (SICDL), as an energy efficient approach for creating healthcare monitoring systems. For smart diagnostics, we observe that all diagnoses are not equally challenging. The proposed approach thus decomposes the diagnoses into preliminary analysis (such as healthy vs unhealthy) and detailed analysis (such as identifying the specific type of cardio disease). The preliminary diagnosis is conducted real-time with a low complexity neural network realized on the resource-constrained on-body device. The detailed diagnosis requires a larger network that is implemented remotely in cloud and is conditionally activated only for detailed diagnosis (unhealthy individuals). We evaluated the proposed approach using available physiological sensor data from Physionet databases, and achieved 38% energy reduction in comparison to the conventional deep learning approach.

关键词： Real-time systems Machine learning biomedical monitoring Performance evaluation Diseases Energy efficiency

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VitalLogger: An Adaptable Wearable Physiology and Body-Area Ambiance Data Logger for Mobile Applications 14

VitalLogger: An Adaptable Wearable Physiology and Body-Area ...

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

作者： Dias, Duarte Ferreira, Nuno Cunha, Joao Paulo Silva Univ Porto Inst Syst Engn & Comp Technol & Sci INESC TEC Oporto Portugal Univ Porto Fac Engn FEUP Oporto Portugal Biodevices SA Oporto Portugal

ISBN: (纸本)9781509062447

Current mobile revolution is leading to an increase of wearable health devices development and consequently a growth in ambulatory monitoring area. These systems can be applied in ambulatory diseases management and diagnosis, personal health monitoring or sports performance enhancement, providing physiological and body-area ambiance data during daily normal activities. Nowadays several devices in the market have this type of technology, being one of them the VitalJacket (R) (VJ (R)), a product from Biodevices, S.A. This device is a medical certified smart t-shirt with textile embedded electronics for ambulatory monitoring of electrocardiogram (ECG), Heart Rate (HR) and Accelerometer (Acc) data that is in the market since 2008. In this work we report the result of a university-company joint R&D effort that aimed to propose a reference extension architecture - called VitalLogger - for VJ (R) wearable health device that enables sensors seamless "plug-in" to the company product. As a proof of concept of this novel adaptable architecture, we jointly implemented a prototype that extends VJ (R) technology to incorporate new sensing modules in a seamless way. Both hardware and firmware were re-designed and extended to create a reference extension architecture, enabling easy integration of different sensing modules according to the user monitoring preference/scenario. Besides the ECG module already incorporated in VJ (R), a module with a Blood Oxygen Saturation (SpO2) sensor and an ambiance temperature and relative humidity sensor was developed and added to the extended prototype VitalLogger. This prototype was successfully built and tested, showing excellent results. The VitalLogger adaptable extension architecture has shown its scalability by enabling seamless "plug-in" sensing modules thus creating the possibility of swift creations of new products with different sensors combinations to adapt to different monitoring scenarios.

关键词： biomedical monitoring Monitoring Prototypes Temperature sensors Electrocardiography Testing

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A highly sensitive pressure sensor using conductive composite elastomers with wavy structures 13

引用

conference on smart biomedical and physiological sensor technology xiii

作者： Sun, Rujie Zhang, Xiao-Chong Rossiter, Jonathan Scarpa, Fabrizio Univ Bristol Adv Composites Ctr Innovat & Sci Queens Bldg Bristol BS8 1TR Avon England Univ Bristol Dept Engn Math Merchant Venturers Bldg Bristol BS8 1UB Avon England

ISBN: (纸本)9781510601048

Flexible pressure sensors are crucial components for the next generation wearable devices to monitor human physiological conditions. In this paper, we present a novel resistive pressure sensor based on hybrid composites made from carbon nanotube (CNT) for the conductive coating layer and polydimethylsiloxane (PDMS) elastomers as the substrate. The high sensitivity of these sensors is attributed to the change of contact resistance caused by the variation of the contact areas between the wavy film and the electrodes. Porous electrodes were designed to increase the roughness of the interfaces, thus further enhancing the pressure sensitivity. The developed device was verified through a series of tests, and the sensor exhibited a high sensitivity of 2.05 kPa(-1) under a low pressure of 35.6 Pa,

关键词： pressure sensor contact resistance wavy structure porous electrodes nanocomposites

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Integration of biochemical sensors into wearable biomaterial platforms 13

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conference on smart biomedical and physiological sensor technology xiii

作者： Jandhyala, Sidhartha Walper, Scott A. Cargill, Allison A. Ozual, Abigail Daniele, Michael A. North Carolina State Univ Joint Dept Biomed Engn Raleigh NC 27695 USA Univ N Carolina Raleigh NC 27695 USA US Naval Res Lab Ctr Bio Mol Sci & Engn Washington DC 20375 USA US Naval Res Lab Naval Res Enterprise Internship Program Washington DC 20375 USA US Naval Res Lab Naval Res Lab HBCU MI Internship Program Washington DC 20375 USA North Carolina State Univ Dept Elect & Comp Engn Raleigh NC 27695 USA

ISBN: (纸本)9781510601048

With rapidly inflating healthcare costs, a limited supply of physicians and an alarming surge in lifestyle diseases, radical changes must be made to improve preventative medicine and ensure a sustainable healthcare system. A compelling solution is to equip the population with wearable health monitors to continuously record representative and actionable physiological data. Herein, we present a preliminary design and evaluation of a biochemical sensor node enabled by a substrate comprised of a nanocellulose thin-film that conforms to the skin and carries a printed sensor element. The nanocellulose layer ensures conformal and biocompatible contact with the skin, while a printed layer provides a high surface-area electrode. While the recognition/transduction element can be exchanged for many different sensing motifs, we utilize the general structure of an electrochemical glucose sensor.

关键词： Biosensors Wearable Electronics Biomaterials Nanocellulose Glucose sensor Glucose Oxidase Amperometric Electrochemical

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Effect of platinum nanoparticle deposition parameters on hydrogen peroxide transduction for applications in wearable electrochemical glucose biosensors 13

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conference on smart biomedical and physiological sensor technology xiii

作者： Cargill, Allison A. Neil, Kathrine M. Hondred, John A. McLamore, Eric. S. Claussen, Jonathan C. Iowa State Univ Dept Mech Engn Ames IA 50011 USA Univ Florida Dept Agr & Biol Engn Gainesville FL 32611 USA

ISBN: (纸本)9781510601048

Enhanced interest in wearable biosensor technology over the past decade is directly related to the increasing prevalence of diabetes and the associated requirement of daily blood glucose monitoring. In this work we investigate the platinum-carbon transduction element used in traditional first-generation glucose biosensors which rely on the concentration of hydrogen peroxide produced by the glucose-glucose oxidase binding scheme. We electrodeposit platinum nanoparticles on a commercially-available screen printed carbon electrode by stepping an applied current between 0 and 7.12 mA/cm(2) for a varying number of cycles. Next, we examine the trends in deposition and the effect that the number of deposition cycles has on the sensitivity of electrochemical glucose sensing. Results from this work indicate that applying platinum nanoparticles to screen printed carbon via electrodeposition from a metal salt solution improves overall biosensor sensitivity. This work also pinpoints the amount of platinum (i.e., number of deposition cycles) that maximizes biosensor sensitivity in an effort to minimize the use of the precious metals, viz., platinum, in electrode fabrication. In summary, this work quantifies the relationship between platinum electrodeposition and sensor performance, which is crucial in designing and producing cost-effective sensors.

关键词： biosensor glucose sensor electrodeposition platinum nanoparticles hydrogen peroxide screen printed electrodes

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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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VitalLogger: An adaptable wearable physiology and body-area ambiance data logger for mobile applications

VitalLogger: An adaptable wearable physiology and body-area ...

引用

International Workshop on Wearable and Implantable Body sensor Networks (BSN)

作者： Duarte Dias Nuno Ferreira João Paulo Silva Cunha Faculty of Engineering (FEUP) University of Porto Porto Portugal Institute for Systems Engineering and Computers - Technology and Science (INESC TEC) University of Porto Portugal

Current mobile revolution is leading to an increase of wearable health devices development and consequently a growth in ambulatory monitoring area. These systems can be applied in ambulatory diseases management and diagnosis, personal health monitoring or sports performance enhancement, providing physiological and body-area ambiance data during daily normal activities. Nowadays several devices in the market have this type of technology, being one of them the VitalJacket ® (VJ ® ), a product from Biodevices, S.A. This device is a medical certified smart t-shirt with textile embedded electronics for ambulatory monitoring of electrocardiogram (ECG), Heart Rate (HR) and Accelerometer (Acc) data that is in the market since 2008. In this work we report the result of a university-company joint R&D effort that aimed to propose a reference extension architecture - called VitalLogger - for VJ ® wearable health device that enables sensors seamless “plug-in” to the company product. As a proof of concept of this novel adaptable architecture, we jointly implemented a prototype that extends VJ ® technology to incorporate new sensing modules in a seamless way. Both hardware and firmware were re-designed and extended to create a reference extension architecture, enabling easy integration of different sensing modules according to the user monitoring preference/scenario. Besides the ECG module already incorporated in VJ ® , a module with a Blood Oxygen Saturation (SpO2) sensor and an ambiance temperature and relative humidity sensor was developed and added to the extended prototype VitalLogger. This prototype was successfully built and tested, showing excellent results. The VitalLogger adaptable extension architecture has shown its scalability by enabling seamless “plug-in” sensing modules thus creating the possibility of swift creations of new products with different sensors combinations to adapt to different monitoring scenarios.

关键词： biomedical monitoring Monitoring Prototypes Temperature sensors Electrocardiography Testing

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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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Towards semantics in wearable sensors: The role of transducers electronic data sheets (TEDS) ontology in sensor networks

Towards semantics in wearable sensors: The role of transduce...

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International conference on e-health Networking, Applications and Services (HealthCom)

作者： Olamidipupo S. Ajigboye Konstantinos Danas Computing and Information Systems Kingston University London

ISBN: (纸本)9781509033713

sensors, actuators and event sensors are the major types of transducers recognized by the IEEE 21451 standards for smart Transducers. These contain information embedded in the Transducer Electronic Data Sheets (TEDS) that help describe the transducer and identify it in a network. Advancement in sensor and information technologies has led to various designs and development in wearable medical devices e.g. wireless Electrocardiogram (ECG) monitoring devices used to measure heart physiological parameters for diagnosis and monitoring of patients' health remotely. Most wearables were designed and proposed on IEEE 11073 standards, while, advances in implementation and application of smart transducers are based on ISO/IEC/IEEE 21451 standards. Therefore, seamless integration and interoperability between sensing technology in wearable and Health Information Systems (HIS) requires attention on the interoperability opportunities at the semantic level. The proposed ontology was implemented using Protege, SPARQL was used to evaluate it, and the performance analysis shows the greater description of the transducers with improve rate of recall and enhance interoperability at the semantic level.

关键词： Ontologies Transducers Standards Semantics biomedical monitoring Monitoring Interoperability

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A driver's physiological monitoring system based on photodiode sensor with reflective optics element

A driver's physiological monitoring system based on photodio...

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IEEE International conference on Vehicular Electronics and Safety (ICVES)

作者： Chun-Yao Shih Shun-Wen Cheng Applied Sensor Technology Group Automotive Research & Testing Center Changhua Taiwan (R.O.C.)

ISBN: (纸本)9781509029341

Developing a system to monitor the biological status of a driver is method to increase smart function of car. When the biological condition of driver is unstable, it can sound warning or provide the control strategy not only to reduce the possible damage to the road traffic safety caused by the driver's disablement but also the quantity of the traffic accident. In order to monitor the biological status of the driver in real-time, a continuous and non-invasive sensing system is needed. The method to enhance physiological signals by the designed optical device is the emphasis in this research. A photodiode at the front end presents the less design in optics. For the most part, the light source and the photodiode will directly lighting and receiving on the object without the components to boost the optical signal. Therefore, we develop the optical components that can boost optical signal and light-collecting efficiency, where the component aperture ≤ 5mm and the light-collecting efficiency ≥ 50%. A prototype static error of SpO 2 : 1% and the heart rate: 1% can monitor and pre-alert the biological status in real-time. If the driver feels the acute discomfort, it can be notified in advance, so as to promote the safety of the road user.

关键词： biomedical optical imaging Optical reflection Photodiodes Vehicles Heart rate Optical filters

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