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

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IIoTHRT: Experimental Analysis of Heart Rate Tracking Methodology Using Intelligent sensors and Internet of Things Assistance

IIoTHRT: Experimental Analysis of Heart Rate Tracking Method...

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Sustainable Computing and smart Systems (ICSCSS), International conference on

作者： P. Pakutharivu P. Mahalakshmi Bhushan P. Saoji A. Padmashree R. Thiagarajan S. Arun Department of Computer Science Anna Adarsh College For Women Chennai India Department of CSE Jerusalem College of Engineering Chennai India Dept of Instrumentation Engineering Bharati Vidyapeeth college of Engineering Navi Mumbai India Department of CSBS Bannari Amman Institute of Technology Sathyamangalam India Department of IT Prathyusha Engineering College Chennai Tamilnadu India Department of ECE Jerusalem College of Engineering Chennai India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

Improvements in disease prevention and patient health maintenance made possible by technological advancements have given rise to new areas of study, including systems for monitoring. Vital signs, such as heart rate, indicate how healthy a person's cardiovascular system is. Multiple physiological states are reflected in heart rate, which is defined as the number of beats per minute. These states include biological workload, tension at work and attention on tasks, lethargy, and the heightened state of activity of the nervous system that controls breathing. The electrocardiogram (ECG) waveform or the sensation of the pulse (the regulated enlargement and constriction of an artery caused by the periodic contractions of the heart) is two ways to quantify it. In places where the blood vessel is near to the skin, one may feel the pulse. In order to assess the efficacy of the suggested model, this study details a method for measuring heart rate using an Arduino and the Internet of Things (IoT) known as Intelligent IoT based Heart Rate Tracker (IIoTHRT). The physiological status of a person may be studied by counting the heart beats per minute. This can tell us a lot about their stress levels, how active their autonomic nervous system is, how fatigued they are, and how hard they are working. There is a shift in the blood volume inside the finger artery because the heart is pumping blood throughout the body when it beats. Around the fingertip, there is an optical sensor system that may detect this blood fluctuation. With the help of serial port messages, the signal may be enhanced and transmitted to Arduino. The proposed program allows for the monitoring and calculation of heart rates. The sensor components are photodiode and infrared LED. The infrared light from the LED is reflected back into the fingertip by the blood in the finger arteries. The outcomes demonstrate that this app can read heart rate values and show them on an Android screen. It just takes around 5 or 6 secon

关键词： Heart rate Fingers Message services Light emitting diodes Control systems Internet of Things biomedical monitoring

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μ-Phone: Accessible Microscope Attachment for smartphones

μ-Phone: Accessible Microscope Attachment for Smartphones

引用

International Workshop on Wearable and Implantable Body sensor Networks (BSN)

作者： Kefan Song Sixuan Wu Ruijia Peng Jason Cobb Alexander T Adams Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Atlanta GA USA School of Interactive Computing Georgia Institute of Technology Atlanta GA USA School of Computer Science Georgia Institute of Technology Atlanta GA USA Renal Medicine Emory University School of Medicine Atlanta GA USA

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

Point-of-care (POC) technologies have the potential to greatly improve the clinical lab testing and diagnostics process since they significantly reduce the wait time before getting the results. Microscope, as a very important instrument widely used in clinical testing, is a key component to be adapted to POC scenarios, and there have been various attempts to do so by replacing conventional microscopes with smartphone-attached systems. However, these attempts all utilized components that are either expensive or bulky, which greatly limits the widespread adaptation and utilization of these devices, especially in areas with limited resources. Thus we propose a design and prototype of $\mu$ -Phone, an accessible microscope attachment for smartphones using cheap and easily accessible components to minimize the obstacles to resource availability. The proposed system has a depth of field of 5.25 micrometers, a pixel resolution of 26.3 pixels per micrometer and a spatial resolution of 2.19 micrometers, which makes it powerful enough to capture microscopic images for identification and analysis at a cellular level. With some future developments, this system has great potential to be deployed worldwide for quick and accurate POC analysis of physiological samples.

关键词： Micrometers Optical microscopy Red blood cells Microscopy Ultraviolet sources Prototypes Production Spatial resolution smart phones Testing

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Intelligent Home Control System Based on physiological Signal Recognition 6

Intelligent Home Control System Based on Physiological Signa...

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6th IEEE International conference on Intelligent Computing and Signal Processing, ICSP 2021

作者： Lu, Shuyuan Dong, Yangrui Qi, Jin Yuan, Yupu Northwest University College of Information Science and Technology Xi'an710127 China

ISBN: (纸本)9780738143705

Various intelligent home control systems have been extensively studied and applied. However, few researches focused on intelligent home control based on physiological signal recognition. The intelligent home control system is designed based on physiological signals such as electroencephalogram (EEG), electrooculogram (EOG) and electromyogram (EMG). A EEG wearable device designed, which uses the TGAM (ThinkGear AM) Brain Wave sensor Chip to collect and preprocess signals. The Raspberry Pi extracts the control signals. In addition, the STM32 controls the intelligent home sand table model. Besides, the Bluetooth communication and serial communication are used to realize a split design. A combination of Wavelet Transform (WT) and Fourier Transform (FT) is proposed to extract the features of the control signals. An effective method for improving the accuracy of EMG signals classification is Support Vector Machine (SVM) with linear kernel (Linear SVM). Therefore, EMG signals are recognized by Linear SVM classification. This system is stable, accurate and easy to operate, which can be widely used in the field of new smart home. © 2021 IEEE.

关键词： Control systems

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MediBot: IoT-Driven Healthcare for Remote Communities

MediBot: IoT-Driven Healthcare for Remote Communities

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), International conference on

作者： Ramprabu J Nandhini D Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

It is a new IoT-included healthcare application for remote supervision of patients’ health overseeing signs and notifying in case of detecting possible health issues with the help of advanced sensor technology. Plan C: MediBot to use sensors to take measurements of remote patients' body temperature, pulse, SpO2, movements, and environment; MediBot acquires real-time health data, with data displayed at the local level as well as in the cloud through an ESP32 microcontroller. This allows users to remotely choose, recommend their vitals, and schedule appointments with healthcare providers using MediBot based on specialists, the latter can monitor in real-time patient-shared vitals and data and may prescribe drugs online. Using live data classification, MediBot accurately identifies potential health deteriorations such as fever, hypoxia, stress, sleep apnea, and dehydration and opportunities for medical interference. The subset connects the patient and doctor by closing the loop and continued screening so that the availability and effectiveness of services are improved. MediBot is a smart healthcare system applied to IoT with the help of sensors and machine learning to predict the health state of patients. Real-time physiological indices such as body temperature, pulse rate, blood oxygen saturation, movement, and environmental conditions are captured through sensors mounted on MediBot and presented on a local interface as well as the ESP32 microcontroller uploading data to the cloud. Using al; machine learning algorithms, MediBot in real-time and historical data to assess health risks such as fever, hypoxia, stress, sleep apnea, and dehydration, allowing for timely alerts for the patient’s immediate medical attention. Thus it creates a channel of constant supervision, and preliminary and effective interaction as well as improves the organization and effectiveness of managing the patients’ and doctors’ encounters.

关键词： Temperature sensors Temperature measurement Temperature distribution Microcontrollers Medical services Real-time systems Sleep apnea biomedical monitoring Stress Monitoring

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IoT-Enabled Exoskeletons for Firefighters Using Reinforcement Learning for Adaptive Support in Emergency Situations

IoT-Enabled Exoskeletons for Firefighters Using Reinforcemen...

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Intelligent Cyber Physical Systems and Internet of Things (ICoICI), International conference on

作者： D. Anitha S. Kolangiammal K. Lalitha K Vijaya Naga Valli E. N. Ganesh M. Muthulekshmi Department of Information Technology Muthayammal Engineering College Namakkal Tamil Nadu India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India Department of Information Technology Panimalar Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Sagi Rama Krishnam Raju Engineering College (A) Bhimavaram Andhra Pradesh India Department of Electronics and Communication Engineering St. Peters Institute of Higher Education and Research (SPIHER) Avadi Chennai Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798331540661

ISBN: (纸本)9798331540678

A potential approach to improve firefighters' performance in difficult emergencies has been the combination of exoskeletons with Internet of Things (IoT) technologies in recent years. To provide adaptive assistance to firefighters during crucial missions, this research presents a new framework that uses reinforcement learning (RL) algorithms combined with IoT exoskeletons. The proposed system uses interconnected sensors built into the exoskeletons to track various environmental and physiological variables, including core temperature, heart rate, and ambient light intensity. Firefighters' health and the danger level of the environment are evaluated using these data points in real time. Autonomously adjusting their support systems to offer appropriate help based on the dynamic situation, the exoskeletons use RL techniques. The system learns to predict the actions of firefighters, adapt the amount of help in real-time, and maximize energy efficiency to keep running for longer due to feedback and iterative learning processes. Firefighters and incident command centers can communicate seamlessly with the proposed framework, allowing real-time situational awareness and decision assistance. Firefighters' ability to be safe and successful during emergency operations is greatly enhanced by exoskeletons. smart solutions can protect first responders from harm and make them more resilient in dangerous situations.

关键词： Temperature sensors Exoskeletons Reinforcement learning Transforms Real-time systems sensor systems sensors Internet of Things Iterative methods Strain

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smart Chair for Bio-Medical Applications Using Internet of Things (IoT)

Smart Chair for Bio-Medical Applications Using Internet of T...

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International conference on Advanced Computing and Communication Systems (ICACCS)

作者： Annu Kumari Himanshu Raj Daksh Amit Abhishek Ankur Utsav Department of ECE Vaishali (Govt. of Bihar) Government Engineering College Bihar India Department of Mechanical Engg. Vaishali (Govt. of Bihar) Government Engineering College Bihar India Department of ECE Mesra(Patna Campus) Birla Institute of Technology Patna India

In this work, we present a novel design of smart Chair for Bio medical Application. The main purpose of this proposal is to implement health monitoring system of patients to check medical history using Internet of things. For that we had used various parameter of sensor embedded with chair to read patient’s vital signs automatically whenever patient sit on a chair. Apart from that we are using RFID (Radio frequency Identification) card interface with chair for personal identification of patients in hospitals particularly with name, age, health problem etc. Hence, our proposal can be achieved in two cases for hospital as well as for home. At home smart chair can be used for senior citizen or handicap people for regular check-up while sitting on a chair whenever required. In this case, if physiological parameter (e.g., blood pressure, heart rate, pulse rate, body weight and temperature) reads vital signs all matched to its normal value then it indicates green light. And if 3 to 4 parameters get abnormal or varying then it indicates red light and gives alarm notification through android app to the doctor or nearby hospital staffs through alert message in case of emergency, to take appropriate action. In our case we are using Android app or display screen to display the data or results through Wi-Fi module via internet and can be access it from anywhere and anytime. Here, we are storing patient medical history through android application for future reference.

关键词： Temperature sensors Hospitals Internet of Things Proposals History biomedical monitoring Older adults

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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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Improved Anonymous Hybrid Authentication Scheme for Body Area Network Utilizing Channel Characteristics

Improved Anonymous Hybrid Authentication Scheme for Body Are...

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2021 International conference on Networking and Network Applications, NaNA 2021

作者： Umar, Mubarak Liao, Xuening Chen, Jiawang Shaanxi Normal University School of Computer Science Xi'an710062 China Department of Information Technology Bayero University Kano700241 Nigeria

ISBN: (纸本)9781665441582

Although wireless body network (WBAN) plays a vital role in revolutionizing healthcare delivery, it has also brought security concerns due to the sensitive nature of the patients' biomedical data being measured by the sensors in the network. Thus, authentication is essential for the safety of the patients in WBAN. Recently, Koya and Deepthi proposed an anonymous hybrid authentication scheme using a physiological signal to fix the security limitations of the existing anonymous authentication approaches in WBAN. However, their scheme lacks forward secrecy and requires that additional sensing hardware be attached to each sensor in WBAN, which is not only cost-prohibitive, but can lead to compatibility issues with legacy systems. To overcome these limitations, we propose an improved anonymous hybrid authentication scheme using physical layer (PHY) channel characteristics. The key idea in the proposed scheme is to replace the physiological signal used in the Koya and Deepthi scheme with a received signal strength (RSS) information already available in the wearable devices in WBAN as an identity identifier. We conduct security analysis to show the security strength of our approach and performance analysis to prove its computational efficiency. Moreover, we conduct experiments on human volunteers in indoor and outdoor locations to show the robustness of the proposed approach. The results demonstrate that our scheme can provide anonymous authentication and identify 90% of attack attempts in WBAN with less computation cost and without any additional sensing hardware. © 2021 IEEE.

关键词： Authentication

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A Framework of Blockchain-Based Security for WBANs 3

A Framework of Blockchain-Based Security for WBANs

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3rd International conference on smart BlockChain (IEEE smartBlock)

作者： Deng, Han Meng, xiangwei Guo, Jun xi, Erhui Zhao, Hui Guangzhou Coll Technol & Business Big Data Dev & Res Ctr Guangzhou Peoples R China Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan Peoples R China Quanzhou Univ Informat Engn Sch Software Engn Quanzhou Peoples R China Guangzhou Coll Technol & Business Dept Comp Sci & Engn Guangzhou Peoples R China Henan Univ Educ Informat Technol Lab Kaifeng Peoples R China

ISBN: (纸本)9781665440738

Purposed to collect and store human physiological data, WBANs as a telemedicine system play a significant role in sensor networks. The complex network environment presents a formidable challenge to the stability of the system and the security of the database. The traditional centralized architecture is to store the registration data of the sensor node and the patient's physiological data in the hub node. When the hub node is subjected to Denial of Service attacks (DoS) and Distributed Denial of Service attacks (DDoS), there will be a single point of failure, so that the sensor node cannot establish a communication connection with the hub node. In this paper, a cloud server layer architecture based on blockchain technology is proposed for WBNAs to ensure system stability and patient data security. Meanwhile, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) scheme is used to ensure patient physiological data safety.

关键词： WBANs Blockchain Decentralized systems CPABE Privacy protection Access control

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Performance study of flexible temperature sensor based on carbon sensitive material 10th

Performance study of flexible temperature sensor based on ca...

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10th China Academic conference on Printing and Packaging, 2019

作者： Shi, Yue Huang, Shilin Sun, Zhicheng Wang, Wei Liu, Ruping Institute of Printing and Packaging Engineering Beijing Institute of Graphic Communication Beijing China

ISBN: (纸本)9789811518638

In this study, a flexible film temperature sensor was fabricated by screen printing technology. The temperature sensor was fabricated by firstly printing nano-silver conductive ink and sequentially carbon temperature sensitive ink onto a flexible polyethylene terephthalate (PET) substrate. By changing the proportion of nano-carbon black in the temperature sensitive ink and the sintering temperature of the nano-silver conductive ink, the effects on the conductivity and temperature sensitivity of the flexible film sensor were investigated, and the linearity, hysteresis and stability of the prepared sensor were verified. When the sintering temperature of silver electrode based on PET film was 130 °C, the electrode square resistance was 10.2 mΩ/. When the ambient temperature varies between 25 and 75 °C, the resistance of the temperature sensor decreases as the amount of nano-carbon black added increases. Besides, the flexible temperature sensor shows high linearity and good stability. By virtue of the flexibility, simple preparation process and low cost, this flexible temperature sensor that can be found useful in a certain range of applications, including wearable devices, biomedical devices, smart packaging and smart house. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Temperature sensors

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