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

共 154 条记录，以下是71-80 订阅

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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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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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smart moving nightstand: For medical assistance of elderly people an open project

Smart moving nightstand: For medical assistance of elderly p...

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7th International conference on Health Informatics, HEALTHINF 2014 - Part of 7th International Joint conference on biomedical Engineering Systems and Technologies, BIOSTEC 2014

作者： Soucies, Nicolas Girouard, Jeremie Ouarti, Nizar Institute des Systemes Intelligents et de Robotique Universite Pierre et Marie Curie 4 place jussieu Paris France Alten 221 Boulevard Jean Jaurès Boulogne-Billancourt France

ISBN: (纸本)9789897580109

We present an open mobile platform that aims to benefit from versatile wireless sensors. This mobile assistant is a robot that can monitor different physiologic data for elderly people. Moreover it has the ability to determine the distance and potentially the position of the elderly person who use it. As an assistant it can transport some "objects" as glasses or drugs. Preliminary results show the proof of concept of our approach with a remote sensor that measures the temperature of the subject. We also present a method to assess the quality of the RSSI signal in order to determine the distance of a zigbee module attached to the arm of the subject. These results are the first steps towards a totally autonomous system that is an open platform. In this platform it will be easy to highlight the interaction or the correlation between the different physiological data and to move the robot properly in case of alert. It is possible to program different services and to integrate new sensors remotely. This platform can be convenient for developers and researchers involved in health technology. Copyright © 2014 SCITEPRESS - Science and technology Publications. All rights reserved.

关键词： Zigbee

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Augmented Reality for biomedical Wellness sensor Systems

Augmented Reality for Biomedical Wellness Sensor Systems

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conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering xi

作者： Jenkins, Jeffrey Szu, Harold George Mason Univ Dept Comp Sci Fairfax VA 22030 USA

ISBN: (纸本)9780819495419

Due to the commercial move and gaming industries, Augmented Reality (AR) technology has matured. By definition of AR, both artificial and real humans can be simultaneously present and realistically interact among one another. With the help of physics and physiology, we can build in the AR tool together with real human day-night webcam inputs through a simple interaction of heat transfer -getting hot, action and reaction -walking or falling, as well as the physiology -sweating due to activity. Knowing the person age, weight and 3D coordinates of joints in the body, we deduce the force, the torque, and the energy expenditure during real human movements and apply to an AR human model. We wish to support the physics-physiology AR version, PPAR, as a BMW surveillance tool for senior home alone (SHA). The functionality is to record senior walking and hand movements inside a home environment. Besides the fringe benefit of enabling more visits from grand children through AR video games, the PP-AR surveillance tool may serve as a means to screen patients in the home for potential falls at points around in house. Moreover, we anticipate PP-AR may help analyze the behavior history of SHA, e. g. enhancing the smartphone SHA Ubiquitous Care Program, by discovering early symptoms of candidate Alzheimer-like midnight excursions, or Parkinson-like trembling motion for when performing challenging muscular joint movements. Using a set of coordinates corresponding to a set of 3D positions representing human joint locations, we compute the Kinetic Energy (KE) generated by each body segment over time. The Work is then calculated, and converted into calories. Using common graphics rendering pipelines, one could invoke AR technology to provide more information about patients to caretakers. Alerts to caretakers can be prompted by a patient's departure from their personal baseline, and the patient's time ordered joint information can be loaded to a graphics viewer allowing for high-definiti

关键词： Augmented Reality biomedical Wellness Thermodynamics smart sensor Networks

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2018 IEEE 15th International conference on Wearable and Implantable Body sensor Networks, BSN 2018

2018 IEEE 15th International Conference on Wearable and Impl...

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15th IEEE International conference on Wearable and Implantable Body sensor Networks, BSN 2018

ISBN: (纸本)9781538611098

The proceedings contain 55 papers. The topics discussed include: SSVEP recognition using discriminative score fusion and transformation for portable brain computer interface;phase-based cortico-cortical connectivity mapping in motor cortex of nonhuman primate;a wearable monitoring system for at-home stroke rehabilitation exercises: a preliminary study;activity and circadian rhythm of sepsis patients in the intensive care unit;crowdsourcing in biomedical research: tapping on the wisdom of crowds to improve the accuracy of mammography screening;spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors;severity classification of obstructive sleep apnea using only heart rate variability measures with an ensemble classifier;learning a physical activity classifier for a low-power embedded wrist-located device;integrated smart home system: detection of unseen wellness parameter in the activity of daily livings of an elderly for well-being monitoring and anomaly discovery;preliminary results on transthoracic bioimpedance measurements with a variety of electrode materials;intuitive visualization of multimodal physiological measurements for a confident interaction for p-health monitoring solutions;and autonomous gait speed estimation using 24GHz FMCW radar technology.

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Continuous monitoring of physiological parameters using smart sensors

Continuous monitoring of physiological parameters using smar...

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International conference on Sensing technology, ICST

作者： M.T. Quazi S.C. Mukhopadhyay School of Engineering and Advanced Technology Massey University Palmerston North New Zealand

A smart sensing system, which would help in detecting human emotions based on information from physiological sensors, is designed and developed. Heart rate sensor, galvanic skin response sensor and skin temperature sensor will continuously monitor the physiological parameters. The amplified and filtered signals from the sensors are then processed by a microcontroller and the results are displayed on a computer screen. The partial developed system has shown good results in monitoring the physiological parameters.

关键词： Temperature sensors Skin Heart rate Monitoring biomedical monitoring Humans

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Humidity-sensitive smart clothes with reversible response 21

Humidity-sensitive smart clothes with reversible response

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21st International conference on Composite Materials, ICCM 2017

作者： Zhang, Fenghua Zhong, Ying Liu, Yanjiu Jin, Sungho Chen, Renkun Leng, Jinsong Centre for Composite Materials Harbin Institute of Technology Harbin150080 China Materials Science and Engineering University of California at San Diego San DiegoCA92093 United States State Key Laboratory of Advanced Welding and Joining Harbin Institute of Technology Harbin150001 China Department of Astronautical Science and Mechanics Harbin Institute of Technology Harbin150001 China University of California at San Diego San DiegoCA92093 United States Mechanical and Aerospace Engineering Department University of California at San Diego San DiegoCA92093 United States

Stimuli-responsive polymeric materials have attracted enormous interest in recent years due to their ability to generate temporary shape changes and recover their original shape in response to an appropriate stimulus [1-5]. smart polymers have seen rapid development with applications in a broad range of areas, such as aircraft, smart textiles, sensors, actuators, shape adaptive systems, and biomedical engineering. Actuation methods play an important role in utilizing smart polymers effectively. At present, solution-responsive polymers are becoming a focus of study to meet the requirements of applications in liquid media such as marine and physiological environments. Water-responsive polymers are desirable, as little energy is required to trigger shape recovery. For example, Huang et al. [6] have reported that water can actuate shape memory polyurethane into different patterns sequentially, and recover the original shapes in sequence. Reversible intermolecular hydrogen bonding is the reason behind these features. Wang et al. [7] have prepared a hybrid that responds to both temperature and water actuations. Humidity-induced, bendable Nafion-based smart textiles have been designed to reversibly adapt their insulation functionality. smart clothes are currently a hot topic in smart materials. The future prospects and range of applications for these materials are wide-reaching, and will attract attention from interested readers in a broad range of fields. Nafion known as smart polymers which exhibit shape change and shape recovery properties in response to heating and humidity stimuli.[8-10] When humidity increases, as might occur during human sweating, the pre-cut flaps open to produce pores in the polymer sheet and permit air flow through the open pores, thus reducing both the humidity level and apparent temperature. If the bendable polymer sheet is inserted between two fabrics,, therincreasing humidity attenuats the inserteby reducing the gap between the two fabrics to

关键词： Humidity response Personal thermoregulation Reversible structure smart clothing

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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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