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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111-120 订阅

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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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A biomedical wearable device for remote monitoring of physiological signals

A biomedical wearable device for remote monitoring of physio...

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International conference on Emerging Technologies and Factory Automation (ETFA)

作者： C.J.N. Coelho A.O. Fernandes J.C.D. Conway F.L. Correa H.S. Carvalho J.M. Mata Departamento de Ciência da Computação Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais Brasil

Recent advances in wireless communication technologies, smart sensors and high-performance low-power microprocessors opened space for applications in many different areas, such as medicine. Putting together these technologies to meet functional specification of the applications and operation requirements still presents many challenges, mainly due to limited power supply. This paper presents research challenges and solutions for a biomedical sensor application. Novel features have been included in a system for real-time remote monitoring of physiological signals (electrocardiogram, blood oxygen level, and blood pressure), improving its functionality, performance, and power management. The concept of quality of service (QoS) is applied to power management, which is focused on the application parameters.

关键词： biomedical monitoring Remote monitoring Space technology Energy management Power system management Quality of service Wireless communication Communications technology Intelligent sensors Microprocessors

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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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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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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 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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Leveraging RingConn smart Ring for Monitoring Women’s Menstrual Health: A Pilot Study

Leveraging RingConn Smart Ring for Monitoring Women’s Menst...

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IEEE biomedical Circuits and Systems (BIOCAS)

作者： Qin Li Hao Wu Qian Hu Siufung Sze xianghao Guo Yao Wang Department of Obstetrics and Gynecology The Second Affiliated Hospital of Shanxi University of Chinese Medicine Xianyang China Shenzhen Ninenovo technology Limited Shenzhen P.R. China RingConn LLC Wilmington DE United States Department of Obstetrics and Gynecology LKS Institute of Health Sciences The Chinese University of Hong Kong Hong Kong SAR China

ISBN: (数字)9798350354959

ISBN: (纸本)9798350354966

Women’s health is an important area of global public health research, encompassing numerous physical, psychological, and social dimensions. Among these, monitoring the menstrual cycle is a key aspect of health management. Currently, the menstrual cycle prediction mainly uses the method of recording historical dates, which relies on the self-report of the user and is subjective. However, with the advent of intelligent wearable technology, menstrual monitoring methods based on physiological indicators provide a more scientific approach. In this paper, we utilized temperature data monitored by the RingConn smart Ring for trend analysis and predicted the next menstrual date based on the observed temperature trends. Among the recruited subjects, the prediction accuracy within ±3 days was 92.55%, verifying the method’s effectiveness and accuracy. This study lays the foundation for further exploration of menstrual prediction based on skin body temperature in the future.

关键词： Temperature sensors Temperature measurement Temperature distribution Accuracy Market research Skin Recording biomedical monitoring Public healthcare Monitoring

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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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Self Sustainable Artificial Intelligence Systems (ICSSAS), International conference on

作者： K. Bashkaran S. Selvarasu S. Valarmathy K. Radhika M. Muthulekshmi Department of Biomedical Engineering Kongunadu College of Engineering and Technology Thottium Tamil Nadu India Department of Electronics and Communication Engineering Sri Shanmugha College of Engineering and Technology Salem Tamil Nadu India Department of Electronics and Communication Engineering Vinayaka Mission's Kirupananda Variyar Engineering College Salem Tamil nadu India Department of Electronics and Communication Engineering Muthayammal Engineering College Rasipuram Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

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.

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sEmoD: A Personalized Emotion Detection Using a smart Holistic Embedded IoT System

sEmoD: A Personalized Emotion Detection Using a Smart Holist...

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IEEE Annual International Computer Software and Applications conference (COMPSAC)

作者： Akm Jahangir Alam Majumder Tanner M. Mcwhorter Yezhou Ni Hanqing Nie Jacob Iarve Donald R Ucci Department of Electrical and Computer Engineering Miami University OH USA Division of Mathematics and Computer Science University of South Carolina Upstate SC USA

Scientific mental health crisis analysis through smart Internet of Things (IoT) system is able to provide an overall assessment of personalized emotion state. With recent advancements in IoT technology, we developed an embedded smart IoT system (sEmoD) for emotion detection. We designed and implemented a wearable Cyber-Human System (CHS) with a low power Bluetooth communication module to collect Body Area sensor's (BAS) data using a smartphone. This wearable IoT device is capable of collecting physiological data over an extended period of time. Experimentation and verification have been conducted on a group of test subjects with different test scenarios including a happy, depressed, stressed, and calm state of being. This study introduces the use of signal processing and machine learning techniques for sensor data analytics to detect a (potential) personalized mental health crisis. The proposed system, sEmoD, can distinguish between the different emotional crises events with a high degree of accuracy (~80%).

关键词： Temperature sensors Bluetooth Skin Monitoring biomedical monitoring Internet of Things Software

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Intelligent Virtual Ambulance Model using Predictive Learning

Intelligent Virtual Ambulance Model using Predictive Learnin...

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Advancements in smart, Secure and Intelligent Computing (ASSIC), International conference on

作者： Sohini Ghosh Sushruta Mishra Kalinga Institute of Industrial Technology Deemed to be University India

Most people are unable to identify their actual illness, and many patients die before they are hospitalized. Therefore, in this research, a health monitoring system (HMS) is proposed and it suggests diseases such as arrhythmia, diabetes, fever, etc. and diagnoses chronic diseases in the ambulance itself and provides real-time prediction for critical and normal patients. The proposed system has a multi-tiered structure where physiological features are captured by wearable medical sensors (WMS) and machine learning suites are used to analyze data and to detect chronic diseases. Results obtained on the real datasets puts forward that sensor data and machine learning can effectively predict chronic diseases in real time. HMS can predict accuracies of various conditions such as arrhythmia (98.89%). Diabetes (96.74%), hypertension (98.85%), fever (99.85%) and thyroid (97.4%). In conclusion, we can say that the proposed HMS can assist us to monitor the affected person's physical condition at his/her residence, or at the ambulance within the golden hour of a patient's life.

关键词： Data privacy Arrhythmia Machine learning Medical services Real-time systems Diabetes biomedical monitoring

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