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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81-90 订阅

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Reconfigurable wearable to monitor physiological variables and movement 14

Reconfigurable wearable to monitor physiological variables a...

引用

conference on smart biomedical and physiological sensor technology xiV

作者： Romero, Francisco J. Morales, Diego P. Castillo, Encarnacion Garcia, Antonio Tahmassebi, Amirhessam Meyer-Baese, Anke Univ Granada Dept Elect & Comp Technol E-18071 Granada Spain Florida State Univ Dept Comp Sci Dirac Sci Lib 400 Tallahassee FL 32306 USA

ISBN: (纸本)9781510609334;9781510609341

This article presents a preliminary prototype of a wearable instrument for oxygen saturation and ECG monitoring. The proposed measuring system is based on the light reflection variability of a LED emission on the subject temple. Besides, the system has the capacity to incorporate electrodes to obtain ECG measurements. All measurements are stored and transmitted to a mobile device (tablet or smartphone) through a Bluetooth link.

关键词： Biometric monitoring heart rate oxygen saturation healthcare wearables

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Vibration Energy Harvester Driven Wearable biomedical Diagnostic System 13

Vibration Energy Harvester Driven Wearable Biomedical Diagno...

引用

13th Annual IEEE International conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS)

作者： Balpande, Suresh S. Kalambe, Jayu Pande, Rajesh S. Shri Ramdeobaba Coll Engn & Management Dept Elect Engn Nagpur 440013 Maharashtra India

ISBN: (纸本)9781538652732

smart fabric technology (SFT) makes easier to monitor physiological parameters. smart Fabric technology or An electronic textile (e-textile) is prepared by incorporating wearable systems along with sensors deployed for body parameters which are used by doctors as markers to summarize health status. Such existing systems are battery driven and required cumbersome maintenance. It is the main cause for limited life span and lack of biocompatibility. These limitations are well addressed by proposing energy harvesting device (EHD) as an alternative to battery. It is basically an energy transduction mechanism in which vibration energy converted to useful electrical energy. This work focuses on low cost fabrication of EHD to make SFT self powered. The fabricated device is built out of polymer substrate, silver electrodes and zinc oxide as piezoelectric material. The devices have been characterized and found electric potential of 2.51Vpeak, 0.76Vrms whereas power was 12.61 mu Wpeak, and 1.18 mu Wrms for 500K Omega load at 53Hz peak resonant frequency. The power demand of commercially available cardiac sensor, adaptive pace maker, pulse oxymeter, sensor node demand power in the range of 1 mu W to 100 mu W. This reveals feasibility of energy harvester as an power source for SFT. Array of series and parallelly connected EHD can be deployed for fulfilling demand of integrated SFT.

关键词： e-Textiles biomedical sensing Energy harvesting device

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A smart Health System: Monitoring Comatose Patient’s physiological Conditions Remotely

A Smart Health System: Monitoring Comatose Patient’s Physio...

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International conference on Information technology Systems and Innovation (ICITSI)

作者： Tati Erlina Marreza Rifa Saputra Rahmi Eka Putri Computer Engineering Department Andalas University Padang Indonesia

ISBN: (纸本)9781538656945;9781538656938

physiological condition monitoring is an indispensable part of comatose patient treatment. Unfortunately, the bedside monitor, a tool which is commonly used to detect the patients' vital sign is only readable by medical officers and need to be observed at a close distance. This research focuses on the development of a system which enables comatose patients' family to read the vital signs effortlessly without having to be continually around the patients who are hospitalized in intensive care units (ICU). The system monitors the number of heartbeats, respiratory rate, and detects eyelid opening using pulse sensor, thermistor and Infrared Light Emitting Diode (IR LED) respectively. All data acquired from the sensors are sent to the database and displayed on Android devices. A special notification is given to family members as well as medical officers when an anomalous condition is detected. From experiments, it can be concluded that the system can monitor patients' physiological condition and send a notification when abnormal ailment happen with 94% accuracy.

关键词： Monitoring biomedical monitoring Eyelids Heart beat Temperature measurement Light emitting diodes Temperature sensors

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Characterization of Large-Area Pressure-Sensitive Robot Skin 14

Characterization of Large-Area Pressure-Sensitive Robot Skin

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conference on smart biomedical and physiological sensor technology xiV

作者： Saadatzi, Mohammad Nasser Baptist, Joshua R. Wijayasinghe, Indika B. Popa, Dan O. Univ Louisville Dep Elect & Comp Engn Next Generat Syst Grp 2301 S 3rd St Louisville KY 40292 USA

ISBN: (纸本)9781510609334;9781510609341

sensorized robot skin has considerable promise to enhance robots' tactile perception of surrounding environments. For physical human-robot interaction ( pHRI) or autonomous manipulation, a high spatial sensor density is required, typically driven by the skin location on the robot. In this study, two flexible sensor arrays with different densities (i.e., 4x4 and 11x11 skin arrays) are printed and packaged onto Kapton sheets and silicone encapsulants. To address scalability, sensitivity, and calibration challenges, a novel electronic module, free of the traditional signal conditioning circuitry was created. The electronic design relies on a software-based calibration scheme using high-resolution analog-to-digital converters with internal programmable gain amplifiers. In this paper, we show the efficacy of the proposed method with the 4x4 skin array using controlled pressure tests, and then perform procedures to evaluate each sensor's characteristics such as dynamic force-to-strain property, repeatability, and signal-to-noise-ratio. In order to handle larger sensor surfaces, an automated force-controlled test cycle was carried out. Results demonstrate that our approach leads to reliable and efficient methods for extracting tactile models for use in future interaction with collaborative robots.

关键词： Robot skin characterization sensor array strain gauge pHRI

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smart Chair-A Telemedicine Based Health Monitoring System

Smart Chair-A Telemedicine Based Health Monitoring System

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International conference of Electronics, Communication and Aerospace technology (ICECA)

作者： Raja Lavanya M Nivetha K. Revasree K. Sandhiya Department of Computer Science and Engineering Thiagarajar College of Engineering

ISBN: (纸本)9781538609668

With the world getting busier and health of the people is at stake, we proposed an innovative system named The smart Chair new model of Health Monitoring system for telemedicine developed based on sensor technologies and Security. It assures health care services for people anywhere and anytime. The main objective of this project is to design and develop health monitoring system that can be observed by the doctor in real time as well as check history of patient's medical data via internet with an indication in case of abnormalities. The whole patient monitoring system is embedded to a chair where we can make the patient to sit down to read vital signs. The smart chair is capable of monitoring many physiological parameters (e.g. heart rate, blood pressure, pulse rate, body weight and body temperature). By using smart chair, patients can be kept informed of their health condition, while medical staff is in remote area could receive data from those devices by using wifi and Gsm module and give patients suggestions in time. To save the life of person, time-sensitive medical data should be dealt as much as possible in Emergency Situations. Our Experiments will achieve data accuracy and sensitivity using fog. Fog computing is a recently approached technique which extends cloud computing to edge of network. The features in fog computing will be applied for time sensitive healthcare applications, which provide early notification of emergency situations to support smart decision making. During transmission of data to fog and cloud, attackers can steal the privacy of user's information become a major problem. Signcryption provides resource efficiency by performing data signing and encryption in a single step. We can solve this approach by sending encrypted data to cloud and fog with signcryption model. Users can retrieve data by decrypting with unsigncrytion model and getting results to mobile phones. The result proposed is that we design an Iot Based secure smart healthcare a

关键词： Monitoring Medical services biomedical monitoring Temperature sensors Cloud computing Public key Temperature measurement

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Development of a smart Home-Based Package for Unobtrusive physiological Monitoring

Development of a Smart Home-Based Package for Unobtrusive Ph...

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

作者： Narges Armanfard Majid Komeili Alex Mihailidis University of Toronto Toronto ON CA

Home-based programs have been shown to be effective in improving health conditions, patient self-management, quality of life, and health outcomes. However, there is mixed-evidence on the effectiveness of these programs due to limitations in the intervention tools that are used, primarily the burden that is placed on the user, especially among seniors. In this paper we developed a novel home-based package that measures critically important physiological information such that neither active compliance or interaction from the user is required. To this end, we embedded passive sensors (including load cells, electrodes, pulse sensor and color sensors) into common household items such as tiling, furniture and wall. The smart package measures subject's electrocardiogram (ECG), photoplethysmogram (PPG), ballistocardiogram (BCG), electromyogram (EMG) and imaging photoplethysmogram (IPPG). In contrast to the previous studies, the proposed package measures all the physiological information unobtrusively, simultaneously and in a synchronized manner such that all the data samples corresponding to different intervals of a specific cardiovascular cycle can be identified. Such information can be analyzed by a clinician or be used for a higher level information extraction such as beat-to-beat blood pressure estimation. In addition, the proposed package is the first and only home-based technology that can simultaneously and unobtrusively capture both mechanical and electrical characteristics of user's heart activities. This results in a more accurate home-based vital parameters monitoring.

关键词： Intelligent sensors Electrodes Foot biomedical monitoring Electrocardiography Electromyography

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A Real Time Healthcare Monitoring System Based on Open Source IoT and ANFIS

A Real Time Healthcare Monitoring System Based on Open Sourc...

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International conference on ent Computing and Control Systems (ICICCS)

作者： Mansi Subhedar Vrushali Jadhav Shashank Tekade Manish Prajapati Dept. Of Electronics and Communication Engineering Pillai HOC College of Engineering & Technology Rasayani Maharashtra India

ISBN: (纸本)9781538628430;9781538628423

Integrating the healthcare monitoring devices with various emerging technologies like wireless sensor networks and Internet of Things (IoT), has become a keen area of interest worldwide. The proposed system aims to develop a wearable wireless body sensor device integrating adaptive neural intelligence in the field of healthcare monitoring using IoT. Wireless body sensor units are able to detect behaviour of human body parameters and transmit them using various data analysis and transmission techniques. Adaptive Neural Fuzzy Inference System (ANFIS) would allow the system to prioritize the collected physiological parameters from the sensor nodes by itself, making it a smart healthcare monitoring system. The proposed model has been developed as a prototype of a real-time wearable e-healthcare monitoring system by integrating ANFIS and an open source IoT. The model consists of sensors that collects vital data from patient's body and then transmits using Wi-Fi to the Cloud service which can be accessed by any IoT platform (ThingSpeak) on central HUB. At central HUB, fuzzy logic converts raw data into linguistic variables which is trained in ANFIS to give priority to patients depending on the status of patient. This system results in providing a reliable, accurate and real time data of patients continuously, and transmits the prioritized data during emergency.

关键词： Medical services Monitoring Fuzzy logic biomedical monitoring Wireless fidelity Wireless sensor networks Internet of Things

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A Mobile Mental Health Monitoring System: A smart Glove

A Mobile Mental Health Monitoring System: A Smart Glove

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International IEEE conference on Signal-Image Technologies and Internet-Based System

作者： Luay Fraiwan Tasnim Basmaji Omnia Hassanin Department of Electrical and Computer Engineering Abu Dhabi University Abu Dhabi United Arab Emirates

ISBN: (纸本)9781538693865;9781538693858

This paper proposes a mobile mental health monitoring system for the use during simple daily activities. The primary function of the system is to continuously monitors changes in skin temperature, galvanic skin resistance, and heart rate variability (inter-beat-intervals and cardiac vagal tone index). Changes in these recorded parameters can be later viewed and interpreted by an expert to provide insight about mental health and mental states. The architecture of the proposed system mainly consists of a wearable wireless multi-sensor glove, a permanent data storage unit (cloud database), and a user interface (web page). The wearable glove integrates a skin temperature sensor, a galvanic skin resistance sensor, and a pulse sensor, and it records then transmits the raw signals from the sensors through Wi-Fi to the cloud database. The data existing in the database can be retrieved, processed if needed, then displayed via the user interface. %THE SAMPLING RATE, THE TRANSMISSION RATE, AND THE CLOUD STORAGE CAPACITY The proposed system was tested for two simulated emotional situations: relaxation and annoyance. The recorded signals showed significant variability in the galvanic skin resistance and heart rate variability signals between the two situations. The proposed system can be effectively used in many fields where physiological measures are utilized to evaluate and understand human behavior and mental health. Such fields include psychophysiological research, education, performance enhancement, and biofeedback therapy.

关键词： Skin biomedical monitoring Databases Data acquisition Data communication Heart rate variability Monitoring

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smart Healthcare: Cloud-Enabled Body sensor Networks 14

Smart Healthcare: Cloud-Enabled Body Sensor Networks

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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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smart Wireless Headphone for Cardiovascular and Stress Monitoring 14

Smart Wireless Headphone for Cardiovascular and Stress Monit...

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

作者： Rosa, Bruno M. G. Yang, Guang Z. Imperial Coll London South Kensington Campus London SW7 2AZ England

ISBN: (纸本)9781509062447

Wearable technology has become ubiquitous in recent years due to the miniaturization of circuit electronics and advances in smart materials that can conform to the requirements posed by the human body, behaviour and experience. sensors of this type are found attached almost to every body segment, capable of delivering signals even in harsh activity scenarios. The reliability and relevance of the physiological data retrieved by wearables have yet to surpass the conventional technologies in the healthcare system today. In this paper we present a small device incorporated inside an headphone set that continuously monitors the ECG, impedance and acceleration of the head. As opposed to most biometric sensors, ECG measurement relies on non-optical methods by capturing the electrical potential around the ear in both sides of the head, whereas impedance monitoring involves AC stimulation instead of DC, the latter commonly involved in skin galvanic response estimation. Signal processing of impedance parameters is performed in situ using a fast variant of the Discrete Fourier Transform in order to save computational resources and power expenditure from a microcontroller equipped with Bluetooth Low Energy. Applications that can benefit from this device include cardiovascular and stress level assessment of individuals

关键词： Electrocardiography Impedance Impedance measurement biomedical monitoring Electrodes Stress Skin

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