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2nd IEEE International conference on Artificial Intelligence Circuits and Systems (AICAS)

作者： Ma, Yongqiang Chen, Badong Ren, Pengju Zheng, Nanning Indiveri, Giacomo Donati, Elisa Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Univ Zurich Inst Neuroinformat CH-8006 Zurich Switzerland Swiss Fed Inst Technol CH-8092 Zurich Switzerland

The rapid increase of wearable sensor devices poses new challenges for implementing continuous real-time processing of physiological data. Neuromorphic sensory-processing devices can enable both the measurement of bio-signals and their processing locally in compact embedded wearable systems. In particular, mixed-signal spiking neural networks implemented on neuromorphic processors can be integrated directly with the sensors to extract temporal data-streams in real-time with very low power consumption. In this work, we present a neuromorphic approach for classifying spatio-temporal data from electromyography (EMG) signals, which paves the way toward the realization of compact wearable solutions for neuroprosthetic control. Here we extend previously proposed delta-encoding methods to transform bio-signals into spike trains and use a spiking Recurrent Neural Network (SRNN) architecture to extract features from them. The SRNN was first simulated in software to find the optimal set of hyperparameters, and then validated on the neuromorphic hardware, with a difference in the performance of less than 2%. We describe how biologically plausible mechanisms such as Spike-Timing Dependent Plasticity (STDP) and soft Winner-Take-All (WTA) networks can be exploited to classify the EMG signals and show how their combined use in EMG data classification achieves competitive results with different datasets. Specifically, the classification performance for the Roshambo EMG dataset, which has three different classes, is above 85%, and for the basic finger movements dataset from the Ninapro database, which has eight different classes, reaches 55% accuracy.

关键词： Neuromorphic engineering biomedical signal processing Recurrent neural networks Wearable sensors Neuromorphic engineering biomedical signal processing spike encoding spiking recurrent neural network spike-based learning Winner-Take-All

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Electrodermal Activity smart sensor Integration in a Wearable Affective Computing System

Electrodermal Activity Smart Sensor Integration in a Wearabl...

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conference on Design of Circuits and Integrated Circuits (DCIS)

作者： M. F. Canabal J. A. Miranda José M. Lanza-Gutiérrez A. I. Pérez Garcilópez C. López-Ongil Carlos III University of Madrid Leganés Spain

ISBN: (数字)9781728191324

ISBN: (纸本)9781728191331

Nowadays, the integration of smart sensors in wearable affective computing systems aims to improve and create applications based on conventional sensing technology. The inclusion of this type of sensors is key in high sensing-demanding applications, such as those based on affective computing. This sensing integration must be quantitatively supported by metrics that directly affect performance, such as processing time, memory usage, and measurement accuracy. This paper presents a comprehensive analysis of a specific smart sensor integration in a wearable constrained device from an embedded perspective. The authors performed this implementation by considering BINDI, which is a wearable device developed by the UC3M4Safety research group to prevent gender violence situations. BINDI monitors user physiological and physical variables to detect fear through artificial intelligence algorithms. Along with other sensors, this device incorporates an electroDermal activity (EDA) sensor. This type of sensor was proven to be a valuable source of information directly related to the autonomous nervous system (ANS) activation, which regulates physiological responses in stress and relaxed affective states. In the initial version of Binode, which was validated in different experiments with different volunteers, the EDA sensor is based on a DC measurement schema. However, AC measurement EDA circuitry is known to provide a higher amount of information. Thus, this work presents a detailed comparison between the current EDA sensor and a specific AC smart EDA sensor for a future version of BINDI.

关键词： sensors Intelligent sensors Voltage measurement Skin Current measurement Electrodes biomedical monitoring

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Considerations for Wearable sensors to Monitor Physical Performance During Spaceflight Intravehicular Activities

Considerations for Wearable Sensors to Monitor Physical Perf...

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

作者： Rachel Bellisle Caroline Bjune Dava Newman Harvard-MIT Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA USA Charles Stark Draper Laboratory Inc. Cambridge MA USA Dept. of Aeronautics and Astronautics Harvard-MIT Health Sciences and Technology Cambridge MA USA

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Wearable sensors provide the capability to noninvasively monitor physiological parameters during spaceflight, including those related to physical performance and daily activity. Regular monitoring of general health and exercise capabilities in astronauts can ensure adequate performance levels and record health changes caused by the space environment. Relevant measurables include vital signs, cardiovascular health, and activity monitoring. Wearable sensor devices can be comfortable for long-term use and easy to operate, which is particularly important during more autonomous future planetary missions. Many devices are currently being developed and tested, but few wearable devices or integrated “smart” garments have been assigned for regular use on the International Space Station. The unique needs of the space environment must be considered to facilitate the development and implementation of wearable devices, particularly “smart” sensor garments, for space applications.

关键词： biomedical monitoring Monitoring Temperature measurement Temperature sensors Electrocardiography Wearable sensors Clothing

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A new mutual authentication and key agreement protocol in wireless body area network

A new mutual authentication and key agreement protocol in wi...

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IEEE International conference on smart Cloud (smartCloud)

作者： xiaohe Wu Jianbo Xu Weihong Huang Wei Jian The School of Computer science and Engineering Hunan university of science and technology Xiangtan China

ISBN: (数字)9781728165479

ISBN: (纸本)9781728165486

Due to the mobility and openness of wireless body area networks (WBANs), the security of WBAN has been questioned by people. The patient's physiological information in WBAN is sensitive and confidential, which requires full consideration of user anonymity, untraceability, and data privacy protection in key agreement. Aiming at the shortcomings of Li et al.'s protocol in terms of anonymity and session unlinkability, forward/backward confidentiality, etc., a new anonymous mutual authentication and key agreement protocol was proposed on the basis of the protocol. This scheme only uses XOR and the one-way hash operations, which not only reduces communication consumption but also ensures security, and realizes a truly lightweight anonymous mutual authentication and key agreement protocol.

关键词： Authentication Wireless communication Protocols Body area networks Security biomedical monitoring Wireless sensor networks

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Role of IOT in Healthcare using smart Textiles

Role of IOT in Healthcare using Smart Textiles

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International conference on Power, Energy, Control and Transmission Systems (ICPECTS)

作者： S. Karthikeyan T. Sankar M. Vijayakarthick T Ravi B. Rajasekar Sathyabama Institute of Science and Technology Chennai India VIT University Vellore India MIT Campus Anna university Chennai India

ISBN: (数字)9781728110844

ISBN: (纸本)9781728111018

The design and development of a ZigBee based mostly good non-invasive wearable health watching system with effective communication has been developed and reportable during this paper which incorporates GSM technology. Health care plays a vital role in human's life. Health care watching involves care and regular updates regarding the morbid. The ageing population can result in hyperbolic health care price as look after the senior is way dearer than that of different age teams. The physiological parameters square measure monitored victimization completely different devices like temperature sensor, EEG sensor, pulse device. sensors square measure connected to microcontroller so to digital display. ZigBee that is reliable supports sizable amount of nodes, with terribly long battery life and low price of this device can facilitate to lower the value of health watching each in home and hospital.

关键词： Temperature measurement Temperature sensors Sociology Zigbee Battery charge measurement biomedical monitoring Statistics

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Novel design of smart sleep-lighting system for improving the sleep environment of children

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technology AND HEALTH CARE 2019年第S1期27卷 S3-S13页

作者： Wei, Qun Lee, Jyung Hyun Park, Hee-Joon Keimyung Univ Sch Med Dept Biomed Engn 1095 Dalgubeol Daero Daegu 42601 South Korea Kyungpook Natl Univ Kyungpook Natl Univ Hosp Sch Med Dept Biomed Engn Daegu South Korea

BACKGROUND: Children struggle to fall asleep by themselves because of their physiological characteristics. Therefore, research has been carried on various devices (such as a smartphone) to assist in improving the sleep quality of children. However, all such devices need to be controlled by parents and do not have functions for monitoring the sleep environment. OBJECTIVE: In this paper, a smart sleep-lighting system that includes a sleep-lighting device and a smartphone dongle is developed to improve the sleep environment of children. METHODS: The temperature, humidity, and luminance of the sleep environment are monitored and analyzed by the sleeplighting device to control multi-color light and audio components. The colored light emitted by the multi-color light can be adjusted to improve the sleep atmosphere. Also, the audio component can play white noise to induce sleep. In addition, parents can use a smartphone dongle with a multi-channel wireless communication method to monitor and control one or more lighting devices in different locations in real time. RESULTS: For environmental monitoring, average difference between proposed device and commercial sensor from chamber setting temperature 15 degrees C to 35 degrees C was 0.588 degrees C +/- 0.10 degrees C, and average error value of the humidity measurement was 0.74% at 40% similar to 60% RH. Also, the manufactured sleep-lighting device shows good performance in multi-color light emission, and playing of white noise. As result, the smartphone connected to the proposed smartphone dongle enables monitoring and control of the proposed lighting device in a wireless well. CONCLUSIONS: The manufactured sleep-lighting device has a high-precision temperature and humidity sensor and a luminance sensor that can accurately monitor the sleeping environment. The lighting device can play white noise to induce sleep in children. Also, a multi-color LED light is operated via a smartphone application to improve the sleep atmosphe

关键词： Children sleep environment sleep aid mood light wireless multi-channel communication smartphone dongle

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An Overview of Chlorophyll Fluorescence Measurement Process, Meters and Methods

An Overview of Chlorophyll Fluorescence Measurement Process,...

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International conference on smart Systems and Technologies (SST)

作者： Jelena Vlaović Josip Balen Krešimir Grgić Drago Žagar Vlatko Galić Domagoj Šimić Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Agricurtual Institute Osijek Osijek Croatia

ISBN: (数字)9781728197593

ISBN: (纸本)9781728197609

The process of photosynthesis implies the transformation of light into chemical energy in photosynthetic organisms. One of the procedures of utilizing the light reaching the plant leaf for chemical energy production is via the chlorophyll (CF) molecules that enable biochemical processes. Chlorophyll fluorescence measurement technique is used to assess the photosynthetic performance of plants and the main principle is based on light energy distribution. Although the plant physiological status is monitored and influenced with agricultural practices like crop rotation and fertilization, various deviations might happen in the agro-ecosphere. Fluorescence transient is monitored through different parameters like maximum fluorescence and different states of dark-adapted fluorescence are measured. Fluorescence is commonly measured using fluorometers like Pocket plant efficiency analyzer (PEA) and Handy PEA. Novel solutions include satellite observations and IoT solutions. Cost-efficient solutions based on a single sensor node provide less accuracy, while sensor networks acquire results comparable to reference data. This short review presents an overview of available sensors, methods and algorithms for measurements of chlorophyll fluorescence and identifies open issues and research directions for the future work.

关键词： Fluorescence Wavelength measurement Light emitting diodes Atmospheric measurements Photochemistry Monitoring biomedical monitoring

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smart and Connected physiological Monitoring Enabled by Stretchable Bioelectronics and Deep-Learning Algorithm

Smart and Connected Physiological Monitoring Enabled by Stre...

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Electronic Components and technology conference (ECTC)

作者： Musa Mahmood Young-Tae Kwon Yun-Soung Kim Jongsu Kim Woon-Hong Yeo School of Mechanical Engineering Institute for Electronics and Nanotechnology Georgia Institute of Technology Atlanta Georgia USA

ISBN: (数字)9781728161808

ISBN: (纸本)9781728161815

Commercially available, wearable physiological monitors rely on rigid, multiple electronic components, coupled with aggressive adhesives and conductive gels, often causing discomfort and skin breakdown. Here, we introduce an all-in-one, wireless, stretchable bioelectronics platform for portable, real-time physiological monitoring and accurate classification biopotentials, including electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG). The nanomembrane sensor and multi-layered electronic system is manufactured by integration of microfabrication techniques, aerosol jet printing of nanoparticles, photonic sintering, and hard-soft materials assembly. Strategic integration with hyperelastic elastomers allows the device to adhere and deform naturally with human body while maintaining the functionalities of the on-board electronics. Stretchable electrodes with optimized structures for intimate skin contact acquire high-quality biopotentials. Comparison of those signals with commercial systems captures the improved performance and significant noise reduction of the stretchable bioelectronics. Implementation of convolutional neural networks for real-time classifications of ECG, EMG, EEG and inertial measurement data demonstrates the feasibility for precise control of external systems. In vivo demonstrations with human subjects in various scenarios reveal the versatility of the device as both a health monitor with real-time cardiac monitoring and a viable human-machine interface.

关键词： Electrocardiography Electrodes Monitoring Electromyography Electroencephalography biomedical monitoring Skin

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A Learning based Secure Anomaly Detection for Healthcare Applications

A Learning based Secure Anomaly Detection for Healthcare App...

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IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE)

作者： Frikha Hounaida Ben daoud Wided Meddeb-Makhoulf Amel Zarai Faouzi ENET’COM Sfax Sfax Tunisia

ISBN: (数字)9781728169750

ISBN: (纸本)9781728169767

The wireless body sensor network (WBSN) is an emerging technology in the healthcare domain, which collects data from vital parameters of the patient's body, using small portable components such as sensors. It allows to continuously monitor patients without restricting their movements and to inform the health specialist of the evolution of their states. However, the deployment of new technologies in health applications without taking into account data security makes the privacy of patients vulnerable. Thus, these systems have insufficient performance for large and varied data sets, because they do not process information sufficiently diverse to cover all scenarios. Moreover, the interpretation of physiological signals is a tedious process in which human errors can be *** address these issues, we propose, in this paper, an effective health system that ensures the secure collection and transfer of patient data to the physician, to facilitate the diagnosis and the detection of life threatening diseases. Our main contribution is to offer real-time, high quality processing, learning and analysis capabilities, in a smart and secure system. For that, we have collected real patient datasets from Tunisian *** achieve this goal, we used ANN and XgBoost as learning algorithms and AES as an encryption protocol for sending secure data to medical personnel for diagnostic purposes. The results show an accuracy of 80% with an execution time of 1.54 s.

关键词： Wireless communication Protocols Prototypes Medical services Tools Encryption biomedical monitoring

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Temporal and Strain Dependence of Scattering Coefficients for Fiber Optic Sensing 15

Temporal and Strain Dependence of Scattering Coefficients fo...

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conference on smart biomedical and physiological sensor technology XV

作者： Azizan, Syamimi Hambali, Nor Azura Malini Ahmad Retnasamy, Vithyacharan Abd Wahid, Mohamad Halim Shahimin, Mukhzeer Mohamad Univ Malaysia Perlis Sch Microelect Engn Tun Abdul Razak Laser Lab TAREL SPILS Kampus Pauh Putra Arau Perlis Malaysia Univ Malaysia Perlis Sch Microelect Engn Kampus Alam Arau 02600 Perlis Malaysia Natl Def Univ Malaysia UPNM Fac Engn Dept Elect & Elect Engn Kuala Lumpur 57000 Malaysia

ISBN: (数字)9781510618367

ISBN: (纸本)9781510618367

This paper presents a detailed synthesis of modeling and simulations results of a distributed Brillouin sensor using a newly developed algorithm. The behaviors of the backscattered Brillouin and Rayleigh signals in the optical fibers are studied. Various magnitudes of temporal and strain in the presence of coherent Rayleigh noise are performed and compared with the published experimental results. A model establishing the temporal and strain dependence on scattering coefficients have been developed and discussed in this paper. All developed simulation models illustrate outstanding precision vis-a-vis published measurement results. The work carried out in this paper cemented approach for a more complex distributed Brillouin scattering modeling.

关键词： Fiber optic sensing temperature strain scattering coefficients distributed Brillouin sensor

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