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

共 128 条记录，以下是81-90 订阅

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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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A smart wearable system for sudden infant death syndrome monitoring

A smart wearable system for sudden infant death syndrome mon...

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IEEE International conference on Industrial technology (ICIT)

作者： André G. Ferreira Duarte Fernandes Sérgio Branco João L. Monteiro Jorge Cabral André P. Catarino Ana M. Rocha Centro Algoritmi University of Minho Guimarães Portugal Center of Textile Science and Technology (2C2T) University of Minho Guimarães Portugal

Sudden Infant Death Syndrome (SIDS) is one of the major causes of death among infants during their sleep. To increase the safety of the infants, we matched different emergent research fields for the development of Baby Night Watch. This smart Wearable System (SWS), developed under the context of the European Texas Instruments Innovation Challenge (TIIC) 2015, is composed by the following elements: a Wearable IoT Device, a Gateway and the H Medical Interface. The Wearable IoT Device is a wireless sensor node integrated in a Chest Belt, and it has the capacity to monitor the following parameters: body temperature, heart and breathing rates and body position. After a minimal data processing, this set of information is sent to the Gateway, via ZigBee technology, and it is accessible to the user through the H Medical Interface. If a critical event occurs, the device will trigger an alarm, visible and audible in the proximity, and sends a distress message to a mobile application. The Baby Night Watch is an important tool for medical studies, since it allows the visualization of previous physiological data and export it to different types of datasets. Experimental tests have proven that the SWS has the potential to identify situations that could be potentially life-threatening for an infant.

关键词： biomedical monitoring Pediatrics Electrodes Heart rate Textiles Monitoring Temperature sensors

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A Software Based Aproach to Acquisition and Analysis of Biosignals using CSAP

A Software Based Aproach to Acquisition and Analysis of Bios...

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International conference on Computing, Communication and Automation

作者： Deepneha Dutta Sourav Dutta Meghamala Dutta Dept. of Biomedical Engineering JIS College of Engineering JISCE Kalyani West Bengal India IBM West Bengal India

ISBN: (纸本)9781509016679

With the advancements in computing and electronic technologies, continuous monitoring of health-status related parameters is becoming affordable. The demand for an easy, comfortable and patient friendly solution for acquisition, processing and remotely transmitting the information from patient to the healthcare centre is increasing day by day. Although few existing techniques are available like the Holter Monitoring and ECG [more than 1-lead] these test are specialized and available in the hospitals/healthcare centres only. While in urban India people do not have time for regular Health checkups, in rural India the lack of awareness towards subdued cardiac pathologies coupled with few available health centres has led to a significant rise in cardiovascular diseases and deaths in the last few decades. Investigations for heart related ailments are still confined to the Electrocardiogram (ECG), Pulse Rate Variability (PRV) sensor and the Phonocardiogram (PCG). The digital recordings are made by the machines but the data is still saved usually via print formats and analyzed manually by specialists. The aim of this study is to design a solution to the problem via our unique Cardio-sensor Aggregation Platform (CSAP) for monitoring, storage and diagnosis of the cardiac bio-signals in real-time. The objective was to design the Cardio-sensor Aggregation Platform (CSAP) in order to capture the data (ECG, Pulse Rate and Heart Sound) in real-time and transmit the same from the CSAP to any mobile device running the application, by using wireless communication technology. The CSAP captures the patient's physiological parameters transforming the signal using custom adaptive filtering which is transferred to the mobile platform for further processing. The data is processed by the smart mobile device and any imminent/urgent response is given back to the user. Later at off-peak time the data is passed on to the larger system [e.g a hospital medical system] as a medical record for fur

关键词： ECG PRV PCG CSAP

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sensor enhanced microfluidic devices for cell based assays and organs on chip 12

Sensor enhanced microfluidic devices for cell based assays a...

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conference on smart biomedical and physiological sensor technology XII

作者： Gaertner, Claudia Ungerboeck, Birgit Schulz, Ingo Jahn, Tobias Mosig, Alexander Mayr, Torsten Becker, Holger Microfluid ChipShop GmbH D-07747 Jena Germany Jena Univ Hosp Inst Biochem 2 D-07743 Jena Germany Graz Univ Technol Inst Analyt Chem & Food Chem A-8010 Graz Austria

ISBN: (纸本)9781628416039

Cell-based assays and organ-like substrates gather increasing attention due to their potentials in diagnostic and drug development. The use of these cell-based systems will allow to better understand in-vivo processes and to test for the direct influence of different substances on cell viability or metabolic activity e.g. in drug development and in addition to identify the influence of generated metabolites or different cell types. In this paper we present a respective technical platform, which enables the use of such cell-based assays. The platform is based on a microfluidic cell-assay toolbox, designed in a fashion allowing to minimize manual steps for cell culture on chip. Elements being essential for this work include membrane elements integrated into a microfluidic device for the separation of liquid stream together with a targeted supply of reagents and a three dimensional feeding of embedded cells. The influence of the metabolism from one cell type on the other can be evaluated due to the arrangement of cell compartments as interacting networks. A respective Lab-on-a-chip handling platform allows for the direct manipulation on a microscope stage and an incubator-free cell culture. Furthermore, luminescent sensors represent promising tools to be embedded into the microfluidic system to monitor the on-chip conditions or to provide information on cell viability and metabolic activity. Finally, examples for implemented assays on chip will be presented, ranging from cell culture showing the cell behavior in respect to surface functionalization and different growth conditions to finally embedding organ-on-chip structures of cultured cell lines.

关键词： Cell-based assays Organ-on-chip microfluidics sensor on chip cell culture microfluidic cell assay toolbox microfluidic toolbox

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Automated Functional and Behavioral Health Assessment of Older Adults with Dementia

Automated Functional and Behavioral Health Assessment of Old...

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IEEE International conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

作者： Mohammad Arif Ul Alam Nirmalya Roy Sarah Holmes Aryya Gangopadhyay Elizabeth Galik Department of Information Systems University of Maryland Baltimore County MD USA Department of Gerontology University of Maryland Baltimore County MD USA School of Nursing University of Maryland Baltimore County MD USA

ISBN: (纸本)9781509009442

Dementia is a clinical syndrome of cognitive deficits that involves both memory and functional impairments. While disruptions in cognition is a striking feature of dementia, it is also closely coupled with changes in functional and behavioral health of older adults. In this paper, we investigate the challenges of improving the automatic assessment of dementia, by better exploiting the emerging physiological sensors in conjunction with ambient sensors in a real field environment with IRB approval. We hypothesize that the cognitive health of older individuals can be estimated by tracking their daily activities and mental arousal states. We employ signal processing on wearable sensor data streams (e.g., Electrodermal Activity (EDA), Photoplethysmogram (PPG), accelerometer (ACC)) and machine learning algorithms to assess cognitive impairments and its correlation with functional health decline. To validate our approach, we quantify the score of machine learning, survey and observation based Activities of Daily Living (ADLs) and signal processing based mental arousal state, respectively for functional and behavioral health measures among 17 older adults living in a continuing care retirement community in Baltimore. We compare clinically observed scores with technology guided automated scores using both machine learning and statistical techniques.

关键词： biomedical monitoring Dementia Monitoring Skin sensors smart homes Heart rate

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sensor Probes and Phantoms for Advanced Transcranial Magnetic Stimulation System Developments 12

Sensor Probes and Phantoms for Advanced Transcranial Magneti...

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conference on smart biomedical and physiological sensor technology XII

作者： Meng, Qinglei Patel, Prashil Trivedi, Sudhir Du, Xiaoming Hong, Elliot Choa, Fow-Sen Univ Maryland Baltimore Cty Dept Comp Sci & Elect Engn Baltimore MD 21228 USA Brimrose Corp Hunt Valley Loveton Ctr Sparks MD 21152 USA Univ Maryland Sch Med Dept Psychiat MPRCUMB Baltimore MD 21201 USA Maryland Psychiat Res Ctr Baltimore MD 21228 USA

ISBN: (纸本)9781628416039

Transcranial magnetic stimulation (TMS) has become one of the most widely used noninvasive method for brain tissue stimulation and has been used as a treatment tool for various neurological and psychiatric disorders including migraine, stroke, Parkinson's disease, dystonia, tinnitus and depression. In the process of developing advanced TMS deep brain stimulation tools, we need first to develop field measurement devices like sensory probes and brain phantoms, which can be used to calibrate the TMS systems. Currently there are commercially available DC magnetic or electric filed measurement sensors, but there is no instrument to measure transient fields. In our study, we used a commercial figure-8 shaped TMS coil to generate transient magnetic field and followed induced field and current. The coil was driven by power amplified signal from a pulse generator with tunable pulse rate, amplitude, and duration. In order to obtain a 3D plot of induced vector electric field, many types of probes were designed to detect single component of electric-field vectors along x, y and z axis in the space around TMS coil. We found that resistor probes has an optimized signal-to-noise ratio (SNR) near 3k ohm but it signal output is too weak compared with other techniques. We also found that inductor probes can have very high output for Curl E measurement, but it is not the E-field distribution we are interested in. Probes with electrical wire wrapped around iron coil can directly measure induced E-field with high sensitivity, which matched computer simulation results.

关键词： TMS induced electric field sensing

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Quantifying the benefits of compressed sensing on a WBSN-based real-time biosignal monitor

Quantifying the benefits of compressed sensing on a WBSN-bas...

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Design, Automation and Test in Europe conference and Exhibition

作者： Daniele Bortolotti Bojan Milosevic Andrea Bartolini Elisabetta Farella Luca Benini Istituto Nazionale di Fisica Nucleare Sezione di Trieste Trieste Friuli-Venezia Giulia IT Fondazione Bruno Kessler ICT Center Trento Italy DEI University of Bologna Italy ETH Zurich Integrated Systems Laboratory Switzerland

ISBN: (纸本)9781467392280

technology scaling enables today the design of ultra-low power wearable biosensors for continuous vital signal monitoring or wellness applications. Wireless Body sensor Networks (WBSN) integrate wearable sensing nodes for an accurate measurement of the desired physiological parameter, e.g. Electrocardiogram (ECG), and a personal gateway for the collection and processing of the data. The diffusion of smartphones enables their use as advanced personal gateways, with the ability to provide user interaction features, connectivity and real-time feedback to the user. Both the sensing node(s) and the smartphone are battery powered and resource-constrained devices, hence energy efficiency is one of the key design goals. In this work, we explore the use of compression techniques to improve the efficiency of a wireless ECG wearable monitor. In the presented system, the wearable node is used for bio-signal acquisition, pre-processing and compression, while a smartphone is used for real-time signal reconstruction. The system aims at medical-grade signal quality and the impact of lossy compression is tested on real signals acquired by the node and its effects are evaluated on systemlevel energy consumption. We analyze performance/energy tradeoffs considering online data compression on the wearable device and real-time reconstruction on the smartphone. Our results show that Compressed Sensing pays off only when the SNR requirement is below 20 dB due to the non-ideal sparsity of ECG signal. We propose a hybrid compression scheme based on CS and under-quantization to address these limitations.

关键词： biomedical monitoring Monitoring Electrocardiography smart phones Logic gates Real-time systems sensors

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smart Photoplethysmographic sensor for Pulse Wave Registration at Different Vascular Depths

Smart Photoplethysmographic Sensor for Pulse Wave Registrati...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Mairo Leier Kristjan Pilt Deniss Karai Gert Jervan Department of Computer Engineering Tallinn University of Technology Tallinn Estonia Department of Biomedical Engineering Tallinn University of Technology Tallinn Estonia

ISBN: (纸本)9781424492695

The aim of this paper is to propose a smart optical sensor for cardiovascular activity monitoring at different tissue layers. Photoplethysmography (PPG) is a noninvasive optical technique for monitoring mainly blood volume changes in the examined tissue. However, different important physiological parameters, such as oxygen saturation, heart and breathing rate, dynamics of skin micro-circulation, vasomotion activity etc., can be extracted from the registered PPG signal. The developed sensor consists of 32 light emitting sources with four different wavelengths, which are located to the four different distances from four photo detectors. Compared to the existing sensors, the system enables to select the optimal LED (light emitting diode) and photo detector couple in order to obtain the pulse wave signal from the interested blood vessels with the highest possible signal to noise ratio. In this study, the designed PPG sensor was tested for the pulse wave registration from radial artery. The highest efficiency and signal to noise ratio was achieved using infrared LED (940 nm) and photo-diode pair.

关键词： PPG noninvasive designed SRGN gene signal to noise ratios pulse wave sensors Light emitting diodes Blood Volume

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Low Drift and High Resolution Miniature Optical Fiber combined Pressure- and Temperature sensor for Cardio-Vascular and Urodynamic Applications 11

Low Drift and High Resolution Miniature Optical Fiber combin...

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conference on smart biomedical and physiological sensor technology XI

作者： Poeggel, Sven Tosi, Daniele Duraibabu, Dineshbabu Sannino, Simone Lupoli, Laura Ippolito, Juliet Fusco, Ferdinando Mirone, Vincenzo Leen, Gabriel Lewis, Elfed Univ Limerick Opt Fibre Sensors Res Ctr Limerick Ireland Univ Naples Federico II I-80131 Naples Italy

ISBN: (纸本)9781628410440

The all-glass optical fibre pressure and temperature sensor (OFPTS), present here is a combination of an extrinsic Fabry Perot Interferometer (EFPI) and an fiber Bragg gratings (FBG), which allows a simultaneously measurement of both pressure and temperature. Thermal effects experienced by the EFPI can be compensated by using the FBG. The sensor achieved a pressure measurement resolution of 0.1mmHg with a frame-rate of 100Hz and a low drift rate of < 1mmHg/hour drift. The sensor has been evaluated using a cardiovascular simulator and additionally has been evaluated in-vivo in a urodynamics application under medical supervision.

关键词： Optical fibre pressure and temperature sensor (OFPTS) Fabry Perot Interferometer (FPI) Fibre Bragg Grating (FBG) biomedical application high sensitivity all glass in-vivo cardiovascular urodynamic

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