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IEEE International conference on Electro Information technology

作者： Md Sabbir Zaman Bashir I. Morshed Electrical and Computer Engineering University of Memphis Memphis TN USA

Wireless resistive analog passive (WRAP) sensors are low cost, battery less, body-worn physiological sensors. Portable Scanner is a hardware device capable of acquiring physiological signals from multiple types of WRAP sensors using amplitude modulation (AM) technique. The signal acquisition relies on inductive loading principal of signal due to impedance mismatch between the LC resonator circuits of scanner and the wireless passive sensor. The physiological signals of the subject affect the impedance that results in the mismatch, which eventually modulates the amplitude of scanner-generated carrier wave at 6.15 MHz. The DDS along with RF power amplifier of the scanner generates the carrier wave. The AM wave's top envelope is picked up by an envelope demodulator (f >> 1 KHz) from the AM signal. The signal is processed in analog domain by utilizing a 2nd order Butterworth low pass filter (1.5 KHz), a variable gain (Av) amplifier (Avmin = 1, Av_(ma)x = 9), then signal is acquired in digital domain via 12 bit ADC and finally is transmitted to a smartphone application via a Class 2 Bluetooth wireless link at a baud rate of 115.2 kbps. The developed scanner device uses a 4-layer PCB (14 cm x 5 cm x 1.25 cm), and contained a 32-bit low power flash microcontroller (STM32L476) based on ARM Cortex - M processor. The device is powered by a 2000 mAh Li-Poly battery. The circuit consumes 0.69 mA during scanning burst, which can sustain continuous scanning of more than 2028 hours (for consumption rate of 0.7).

关键词： Wearable device mHealth Passive sensor smart Health smart and Connected Community

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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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Single-Thread-Based Wearable and Highly Stretchable Triboelectric Nanogenerators and Their Applications in Cloth-Based Self-Powered Human-Interactive and biomedical Sensing

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ADVANCED FUNCTIONAL MATERIALS 2017年第1期27卷 1-10页

作者： Lai, Ying-Chih Deng, Jianan Zhang, Steven L. Niu, Simiao Guo, Hengyu Wang, Zhong Lin Georgia Inst Technol Sch Mat Sci & Engn Atlanta GA 30332 USA Natl Chung Hsing Univ Dept Mat Sci & Engn Taichung 40227 Taiwan Chinese Acad Sci Beijing Inst Nanoenergy & Nanosyst Natl Ctr Nanosci & Technol NCNST Beijing 100083 Peoples R China

The development of wearable and large-area fabric energy harvester and sensor has received great attention due to their promising applications in next-generation autonomous and wearable healthcare technologies. Here, a new type of "single" thread-based triboelectric nanogenerator (TENG) and its uses in elastically textile-based energy harvesting and sensing have been demonstrated. The energy-harvesting thread composed by one silicone-rubber-coated stainless-steel thread can extract energy during contact with skin. With sewing the energy-harvesting thread into a serpentine shape on an elastic textile, a highly stretchable and scalable TENG textile is realized to scavenge various kinds of human-motion energy. The collected energy is capable to sustainably power a commercial smart watch. Moreover, the simplified single triboelectric thread can be applied in a wide range of thread-based self-powered and active sensing uses, including gesture sensing, human-interactive interfaces, and human physiological signal monitoring. After integration with microcontrollers, more complicated systems, such as wireless wearable keyboards and smart beds, are demonstrated. These results show that the newly designed single-thread-based TENG, with the advantage of interactive, responsive, sewable, and conformal features, can meet application needs of a vast variety of fields, ranging from wearable and stretchable energy harvesters to smart cloth-based articles.

关键词： self-powered sensors smart textiles triboelectric nanogenerators wearable energy harvesters wearable and stretchable electronics

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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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Blood pulse wave velocity and pressure sensing via fiber based and free space based optical sensors 14

Blood pulse wave velocity and pressure sensing via fiber bas...

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conference on Nanoscale Imaging, Sensing, and Actuation for biomedical Applications xIV

作者： Sirkis, Talia Beiderman, Yevgeny Agdarov, Sergey Beiderman, Yafim Zalevsky, Zeev Bar Ilan Univ Fac Engn IL-52900 Ramat Gan Israel Bar Ilan Univ Nanotechnol Ctr IL-52900 Ramat Gan Israel

ISBN: (数字)9781510605961

ISBN: (纸本)9781510605954;9781510605961

Continuous noninvasive measurement of vital bio-signs, such as cardiopulmonary parameters, is an important tool in evaluation of the patient's physiological condition and health monitoring. On the demand of new enabling technologies, some works have been done in continuous monitoring of blood pressure and pulse wave velocity. In this paper, we introduce two techniques for non-contact sensing of vital bio signs. In the first approach the optical sensor is based on single mode in-fibers Mach-Zehnder interferometer (MZI) to detect heartbeat, respiration and pulse wave velocity (PWV). The introduced interferometer is based on a new implanted scheme. It replaces the conventional MZI realized by inserting of discontinuities in the fiber to break the total internal reflection and scatter/collect light. The proposed fiber sensor was successfully incorporated into shirt to produce smart clothing. The measurements obtained from the smart clothing could be obtained in comfortable manner and there is no need to have an initial calibration or a direct contact between the sensor and the skin of the tested individual. In the second concept we show a remote noncontact blood pulse wave velocity and pressure measurement based on tracking the temporal changes of reflected secondary speckle patterns produced in human skin when illuminated by a laser beams. In both concept experimental validation of the proposed schemes is shown and analyzed.

关键词： Blood pulse wave velocity blood pulse pressure integrated fiber sensor speckle patterns

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A Sub-nJ CMOS ECG Classifier for Wireless smart sensor 39

A Sub-<i>nJ</i> CMOS ECG Classifier for Wireless Smart Senso...

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

作者： Chollet, Paul Pallas, Remi Lahuec, Cyril Arzel, Matthieu Seguin, Fabrice IMT Atlantique Elect Dept CNRS Lab STICC UMR 6285 Technopole Brest Iroise CS 83818 F-29238 Brittany 3 France

ISBN: (纸本)9781509028092

Body area sensor networks hold the promise of more efficient and cheaper medical care services through the constant monitoring of physiological markers such as heart beats. Continuously transmitting the electrocardiogram (ECG) signal requires most of the wireless ECG sensor energy budget. This paper presents the analog implantation of a classifier for ECG signals that can be embedded onto a sensor. The classifier is a sparse neural associative memory. It is implemented using the ST 65 nm CMOS technology and requires only 234 pJ per classification while achieving a 93.6% classification accuracy. The energy requirement is 6 orders of magnitude lower than a digital accelerator that performs a similar task. The lifespan of the resulting sensor is 191 times as large as that of a sensor sending all the data.

关键词： Electrocardiography Feature extraction Radio frequency Hardware Wireless sensor networks Semiconductor device modeling Mathematical model

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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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