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

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Electrospinning Polyvinyl Alcohol/Polyaniline Nanofiber-Based Humidity sensor

Electrospinning Polyvinyl Alcohol/Polyaniline Nanofiber-Base...

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sensors and Information technology (ICSI), International conference on

作者： Rong Du Han Song Yi Liu Boyi Wang Wuhan University of Technology Wuhan China Wuhan University of Technology Shaoxing Institute for Advanced Research Wuhan China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

With the rapid advancement of smart wearable devices, the monitoring of human physiological signals has emerged as a prominent research focus. In this study, a polyvinyl alcohol/polyaniline (PVA/PANI) resistive humidity sensor with superior humidity sensing performance was fabricated using electrospinning technology. Within the relative humidity ranges of 25% to 65% and 65% to 95%, the sensor exhibits sensitivities of-120.77MΩ/%RH and -4.44MΩ/%RH, respectively. Furthermore, the sensor exhibits a response/recovery time of approximately 45/14 seconds, hysteresis of 2.23%. The PVA/PANI humidity sensor has the ability of respiration monitoring, which provides a new method for the application of polymer humidity sensor in human physiological signal monitoring.

关键词： Sensitivity Humidity Polymers Time factors biomedical monitoring Wearable devices Monitoring Hysteresis Standards Testing

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On Predicting Emotion From Commercial smartwatch - A Big Data Narrative

On Predicting Emotion From Commercial Smartwatch - A Big Dat...

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Interdisciplinary Approaches in technology and Management for Social Innovation (IATMSI), IEEE conference on

作者： Partha Pratim Sarmah Partha Sarathi Paul Krishnandu Hazra Dept. of CSE IIITG Assam India School of Computer Engineering KIIT University Bhubaneswar India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

smart wearable devices such as smartwatches and smart bands are all-pervasive nowadays. They are accompanied by various sensors like heart rate monitors, oximetry sensors, ambient light and temperature sensors, etc. that collect different physiological data about the individuals while wearing. Such data can effectively be used to detect the activities of the user. Here, one relevant intriguing question arises: Is it feasible to predict the emotional status of an individual by utilizing such physiological data from such devices? To address this question, no such work utilizes commercial smartwatches. Therefore, to fill this gap, in this work, we analyze and predict emotions by utilizing the physiological data collected by the commercial Fitbit smartwatch. Here, we have utilized the Lifesnaps Fitbit dataset, a large public dataset of size 9.72 GB that contains both physiological sensor data and psychological survey data collected from 71 volunteers from different demographic areas using commercially available Fitbit smartwatches between May 2021 and January 2022. Here we investigate the correlation between emotional state and physiological parameters using data collected from the Lifesnaps dataset. We perform comprehensive data pre-processing such as data cleaning, data imputation, and scaling to ensure the data integration and usability of the dataset. We apply various non-neural machine learning algorithms (Support Vector Machine, Logistic Regression, Decision Trees, LightGBM, XGBoost, and Random Forest) and achieve an accuracy of up to 78.75% in predicting emotions. We further enhanced the performance of the prediction through efficiently hyper-tuning two neural network approaches (i.e., Feedforward neural network, and BiLSTM) and achieved a maximum accuracy of 97% in the Feedforward neural network. Our experimental evaluation shows a significant potential in commercial smartwatches for mental health and emotion detection.

关键词： Temperature sensors Temperature measurement Wearable Health Monitoring Systems Correlation Accuracy Big Data Feedforward neural networks biomedical monitoring Usability Intelligent sensors

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smart biomedical and physiological sensor technology viii

Smart Biomedical and Physiological Sensor Technology VIII

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smart biomedical and physiological sensor technology viii

ISBN: (纸本)9780819485991

The proceedings contain 16 papers. The topics discussed include: optimization of SAM-based multilayer SERS substrates for intracellular analyses: the effect of terminating functional groups;nitrocellulose-based SERS immunosensor for detection of biological molecules;self-referencing luminescent optrodes for non-invasive, real time measurement of extracellular flux;Raman discrimination of bacterial strains using multilayered microcavity substrates;fluorescence intensity measurements with display screen as excitation source;development of a depolarized Raman spectrometer for potential surface-enhanced Raman optical activity (SEROA) measurements;colorimetric phosphorescence measurements with a color camera for oxygen determination;micro-Raman spectroscopy study of ALVAC virus infected chicken embryo cells;Raman spectroscopy of HIV-1 antigen and antibody;and depth and resolution characterization of two-photon photoacoustic spectroscopy for noninvasive subsurface chemical diagnostics.

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Optimized Stacked Sparse Autoencoder for IoT-Cloud smart Healthcare Networks

Optimized Stacked Sparse Autoencoder for IoT-Cloud Smart Hea...

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Sentiment Analysis and Deep Learning (ICSADL), International conference on

作者： Baba Fakruddin Ali B H L. Guganathan Prasanta Kumar Parida D. Samundeeswari Sridhar S Department of CSE Nagarjuna College of engineering and technology Bengaluru Karnataka India Department of Physics Saveetha School of Engineering Saveetha Insitute of Medical and Technical science (SIMATS) Thandalam Chennai Tamil Nadu India School of Rural Management KIIT University Bhubaneswar Odisha India Department of Mathematics Panimalar Engineering College Chennai Tamil Nadu India Department of Research Rajalakshmi Institute of Technology (Autonomous) Chennai Tamil Nadu India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523930

IoT technology growth in healthcare has been a revolution, and that is exciting, with the monitoring of real-time critical physiological and clinical parameters from real-time data: data-driven, personalized healthcare solutions. Even with such potential, health IoT faces challenges such as heterogeneity in data, noise, and inconsistent feature extraction that leads to suboptimal decision-making. Methods have to be developed efficiently for preprocessing and feature extraction to analyze data so that this disease can be predicted or monitored correctly. The motivation is to design a solid framework that bridges such gaps by making sure reliable, accurate predictions fit the smart healthcare application. Testing the proposed system with IoT-enabled wearable devices and clinical electronic health records (EHR), physiological metrics were collected from IoT sensors, supplemented by medical history and diagnostic data retrieved from cloud databases for blood pressure, heart rate, glucose levels, and oxygen saturation. The pre-processing step utilized Global-Local Depth Normalization (GLDN), which normalizes global structures and local variances to remove noise and scale variations. These features were analyzed using a Stacked Sparse Autoencoder (SSAE), optimized by Cat Hunting Optimization (CHO) to enhance prediction accuracy and computational efficiency. Experimental results validate the system with a remarkable 99.7% accuracy, 98.1% precision, and 97.5% recall and reduces computation time by 22% compared to the existing techniques. This shows the robustness and feasibility of the proposed approach in applications of smart healthcare. In conclusion, this framework represents an effective solution for smart healthcare systems that deals with data heterogeneity and the challenge of feature optimization for better patient care and resource management in IoT-driven environments.

关键词： Cloud computing Accuracy Autoencoders Medical services sensor systems Real-time systems biomedical monitoring Optimization Monitoring Diseases

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smart Savior: A Life Jacket Integrated IoT Emergency Response System Utilizing TTGO T-Call ESP32 and Advanced sensor Technologies

Smart Savior: A Life Jacket Integrated IoT Emergency Respons...

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International conference on Robotics,Electrical and Signal Processing Techniques (ICREST)

作者： Md. Jakarea Debopom Sutradhar Ariful Islam Talukder S.M. Azizul Hoque Sourov Ripon Kumar Debnath Md Shifat Karim Md. Tamzidul Islam Nion Tania Akter Helena Bulbul Department of EEE United International University Dhaka Bangladesh Department of CSE United International University Dhaka Bangladesh Department of BBA United International University Dhaka Bangladesh

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

Life jackets are crucial for aquatic safety, preventing drowning and aiding in rescue. However, locating survivors can be challenging. The smart Savior life jacket, enhanced with IoT technology, integrates advanced sensors into a wristband and jacket to monitor environmental and physiological data. Key components include the NEO-6M GPS module, heart rate and body temperature sensors, and the ESP32 microprocessor. Data is transmitted via ESP-NOW for real-time monitoring and analysis. Rescue teams access a dynamic dashboard to prioritize rescue efforts based on geolocation and critical health indicators. The system's performance, evaluated against industry standards, shows faster GPS connectivity, real-time data synchronization, and improved accuracy in heart rate monitoring (98%) and water temperature sensing (±0.5 ∘ C). This integration offers a robust and effective approach to enhancing safety and responsiveness during aquatic disasters, making it a vital tool in saving lives.

关键词： Temperature sensors Heart rate Geology Robot sensing systems Real-time systems sensor systems biomedical monitoring Intelligent sensors Monitoring Global Positioning System

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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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Fluorescence intensity measurements with display screen as excitation source

Fluorescence intensity measurements with display screen as e...

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conference on smart biomedical and physiological sensor technology viii

作者： Park, Sanghan Achanta, Satya Gowthami Kim, Chang-Soo Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Chem & Biol Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Biolog Sci Rolla MO 65409 USA

ISBN: (纸本)9780819485991

Several new techniques are emerging to use digital display devices as new type of light source for analytical purpose. We demonstrate the use of a liquid crystal display (LCD) computer screen as excitation light source for determining gaseous oxygen contents over a relatively large area. Meso-scale device platforms are prepared with glass plates incorporating fluidic channels and commercial oxygen sensor patches. Fluorophores are excited by blue wavelength range from the LCD computer screen. The sensor signals exhibit a good linear relationship with respect to the oxygen content. The display devices, with a capability of uniform illumination over a large area for variable wavelengths, have a great potential as light source for high-throughput, multiple-analyte, quantitative chemical analysis.

关键词： optical oxygen sensor liquid crystal display (LCD) color camera charge-coupled device (CCD) colorimetry

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Anti-sleepiness sensor systems for sober mental condition

Anti-sleepiness sensor systems for sober mental condition

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conference on smart biomedical and physiological sensor technology viii

作者： Han, Won Heum Jung, Hyung Sik Lee, Hyo Gun Hana Acad Seoul Seoul 122200 South Korea

ISBN: (纸本)9780819485991

The anti-sleepiness sensor systems have been devised for soldier's sober mental condition. These systems judge whether the soldier is sleepy or not, on one hand by monitoring open or closed eyes, on the other hand by measuring the heart blood beat and rate on the carotid of human's neck. They reasonably adopt one of the following methods such as optical, mechanical, magnetic impedance and piezoelectric sensor and so on. In this paper, the characteristics of those sensors are compared to one another and subsequently the suitable ones are proposed from the viewpoint of measurement and judgment reliability.;as a sensor to directly monitor the soldier's open/closed eyes the IR (Infrared) sensor is recommended, which is equipped on glasses (so called the anti-sleepiness glasses), and as a sensor to measure the heart beat and rate of blood vein, the piezoelectric PMN-PT crystal sensor mounted on a necklace turns out to be the most suitable owing to its high sensitivity (i.e. the anti-sleepiness necklace). These systems and relevant ideas are also applicable to the civilian usage, namely to the student preparing an examination as well as to the car-driver for safety.

关键词： Anti-sleepiness apparatus IR sensor piezoelectric sensor Anti-sleepiness glasses Anti-sleepiness necklace

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Special Challenges and Opportunities for Application of Bio-Medical sensors 13

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conference on smart biomedical and physiological sensor technology XIII

作者： Weinrich, Michael NIH Eunice Kennedy Shriver Inst Child Hlth & Human De Bethesda MD 20892 USA

ISBN: (纸本)9781510601048

Real-time data from sensors can potentially transform the practice of medicine. This article compares progress in genetics with sensors to draw some lessons for investigators developing sensor technologies. Special opportunities for research funding related to sensors at the NIH and challenges for sensor applications are highlighted.

关键词： sensors Medicine Genetics Clinical trials Analytics Biology Blood oxygen saturation Cancer Data centers sensor technology

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Colorimetric Phosphorescence Measurements with a Color Camera for Oxygen Determination

Colorimetric Phosphorescence Measurements with a Color Camer...

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conference on smart biomedical and physiological sensor technology viii

作者： Bhagwat, Prajakta Achanta, Gowthami Satya Henthorn, David Kim, Chang-Soo Missouri Univ Sci & Technol Dept Chem & Biol Engn Rolla MO 65409 USA St Louis Univ Dept Biomed Engn St Louis MO 63103 USA Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Biolog Sci Rolla MO 65409 USA

ISBN: (纸本)9780819485991

We developed a simple oxygen imaging platform with phosphorescent oxygen sensor films to demonstrate a quantitative oxygen determination method utilizing a color CCD camera. Phosphorescence quenching of a luminophore Pt(II) mesotetrakis (pentafluorophenyl) porphyrin complex (PtTFPP) immobilized in poly (dimethylsiloxane) (PDMS) matrix, is the principal detection mechanism. This sensor material was cast to form a film on the bottom surface of a transparent Petri dish. As levels of dissolved oxygen increased, phosphorescence of the complex decreased, allowing for measurement of oxygen levels which developed in the sensor film. A camera with a charge-coupled device (CCD) was used in conjunction with processing software to quantify oxygen levels colorimetrically. Microscopic images were collected using a CCD camera and stored as a set of red/green/blue (RGB) images. Phosphorescence excitation (390 nm peak) is limited to the blue (B) pixels of the CCD chip, and these values were discarded;while retaining the oxygen-responsive phosphorescence emission (645 nm peak) almost identical with the response range of the red (R) pixels. Red pixel intensity analysis effectively extracts color intensity information, which can be in turn directly related to oxygen contents. Color CCD cameras allow simultaneous acquisition of many types of chemical information by combining the merits of digital imaging with the attributes of spectroscopic measurement. Therefore, use of color CCD cameras is considered as an inexpensive alternative to time-resolved imaging for relatively short-term monitoring.

关键词： optical oxygen sensor color camera charge-coupled device (CCD) colorimetric analysis

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