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

共 310 条记录，以下是41-50 订阅

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Does glucose affect our vision? A preliminary study using smart glasses

Does glucose affect our vision? A preliminary study using sm...

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Data Science and Engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic conference on

作者： Natalia Piaseczna Rafał Doniec Szymon Sieciński Marcin Grzegorzek Ewaryst Tkacz Department of Biosensors and Processing of Biomedical Signals Faculty of Biomedical Engineering Silesian University of Technology 41-800 Zabrze Poland Institute of Medical Informatics University of Lübeck 23562 Lübeck Germany Fraunhofer IMTE Mönkhofer Weg 239a 23562 Lübeck Germany

In this study, we investigate the relationship between blood glucose levels and visual acuity during simulated driving using smart glasses and machine learning. We found compelling correlations between blood glucose levels and visual performance, with a classification accuracy of 98.70%. These results highlight the importance of blood glucose regulation for road safety and human well-being, and the potential of wearable sensor technology to advance our understanding of physiological influences on human performance.

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Detection of Mishap and Myocardial Infraction

Detection of Mishap and Myocardial Infraction

引用

Recent Innovation in smart and Sustainable technology (ICRISST), International conference on

作者： Pusphalatha N Sri Dhananjayan K Senthooriya O S Tharunprasath K J.Arulvadivu Gowtham M Department of Electrical and Electronics Engineering Sri Eshwar College of Engineering Coimbatore Department of Electronics and Communication Engineering Coimbatore Institute of Engineering and Technology Coimbatore Department of Electrical and Electronics Engineering Karpagam Institute of Technology Coimbatore

ISBN: (数字)9798350309140

ISBN: (纸本)9798350309157

Mishap is the most common cause of death if not detected in time. Myocardial infractions lead to a heavy loss to an individual’s family. The proposed system is a kind of health monitoring system with a location tracking facility that is used to identify if there are any accidents prone to the user or if the driver suddenly gets any high or low BPM. The system immediately senses the situation and sends information to the registered mobile number. The designed system uses a microcontroller chip, a GSM module, a gyroscopic sensor, and a pulse ox meter sensor to detect the user’s health condition. In the present scenario, lots of people are suffering from heart-related diseases. In order to reduce this, a technology using the Node MCU and GSM Module Track has been introduced. This will be processed when the driver gets a sudden cardio attack, a higher heart rate, or a lower heart rate. It will detect the oxygen level and give an alert to the user, admin, police, and the nearby ambulance. The goal of this research is to automatically assess a person's heart rate. This method can categorize, process, and evaluate key physiological information for long-term health monitoring applications.

关键词： Heart rate GSM Meters Technological innovation Microcontrollers Myocardium Real-time systems biomedical monitoring Monitoring Accidents

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Design of a Intelligent Crutch Tool for Elders 1st

Design of a Intelligent Crutch Tool for Elders

引用

1st EAI International conference on Intelligent Systems and Machine Learning, ICISML 2022

作者： Dhivya, A. Josephin Arockia Hemalatha, R.J. Department of Biomedical Engineering Vels Institute of Science Technology and Advanced Studies Chennai India

ISBN: (纸本)9783031350801

In the last few years physiotherapists has been treating the individuals by taking their decisions quickly which results in complexity, non effective and decrease in recovery rate in rehabilitation. Walking aids play a vital role in helping the patients in certain conditions, they lack balance and leads to complex usage of device. These type of aids helps for individuals suffering from spondylitis, disc bulging and postural In this proposed system we design a solution for patient using walkers, this device helps them to maintain the proper balance. As a proof of concept, we develop a sensors-based solution which can be easily embed where the walker helps to get real time information of the subject and helps in recovery rate. This device will automatically warn the users when they apply more pressure on a sensor using haptic feedback. To design a smart crutch tool for Elders and Accident patients which balances the force applied in terms of stress and strain to warn the patients by means of haptic feedback. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Liquid crystal displays

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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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Development of smart Mask System Integrated with Alert Detection and Vital-sign Measurement

Development of Smart Mask System Integrated with Alert Detec...

引用

IEEE International conference on Systems, Man and Cybernetics

作者： Wei-Lun Ting Chun-Chieh Hsiao Ren-Guey Lee Department of Electronic Engineering National Taipei University of Technology Taipei Taiwan R.O.C. Department of Computer Information and Network Engineering Lunghwa University of Science and Technology Taoyuan Taiwan R.O.C.

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

This research focuses on enhancing worker safety in environments with high levels of TVOC gases, such as toluene, a neurotoxin. Traditional cartridge replacement methods, based on fixed intervals, lack precision and pose risks. We propose a novel approach using the SGP30 sensor to monitor cartridge effectiveness, aligned with PEL-TWA regulations. Our system triggers alerts when sensor readings exceed 10 ppm for toluene, 35 ppm for carbon monoxide, and 5000 ppm for carbon dioxide. Additionally, we incorporate physiological monitoring via Photoplethysmography (PPG) using the AFE4404 sensor to assess Heart Rate (HR) and Heart Rate Variability (HRV), alongside respiration monitoring with the D6F-P0010AM2 airflow sensor. Data from these sensors is transmitted via low-power Bluetooth to a mobile APP, enabling real-time monitoring of the wearer's condition. In case of cartridge failure or abnormal physiological readings, the APP triggers vibrations on the mask and automatically sends an SOS to the employer's server via UDP protocol, ensuring immediate intervention. This system aims to enhance occupational safety by reducing the risk of accidents and safeguarding worker well-being.

关键词： Vibrations Protocols Occupational safety Real-time systems Safety Mobile applications Servers biomedical monitoring Heart rate variability Monitoring

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Multimodal sensor-based identification of stress and compulsive actions in children with obsessive-compulsive disorder for telemedical treatment 44

Multimodal sensor-based identification of stress and compuls...

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44th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Thierfelder, Annika Primbs, Jonas Severitt, Bjorn Hohnecker, Carolin S. Kuhnhausen, Jan Alt, Annika K. Pascher, Anja Worz, Ursula Passon, Helene Seemann, Jens Ernst, Christian Lautenbacher, Heinrich Holderried, Martin Kasneci, Enkelejda Giese, Martin A. Bulling, Andreas Menth, Michael Barth, Gottfried M. Ilg, Winfried Hollmann, Karsten Renner, Tobias J. Univ Tubingen Hertie Inst Clin Brain Res Sect Theoret Sensorimotor Control Tubingen Germany Univ Tubingen Dept Comp Sci Commun Networks Tubingen Germany Univ Tubingen Dept Comp Sci Human Comp Interact Tubingen Germany Univ Hosp Tubingen Psychiat Psychosomat & Psychotherapy Childhood & Tubingen Germany Univ Hosp Tubingen Sect Informat Technol Tubingen Germany Univ Hohenheim Inst Healthcare & Publ Management Stuttgart Germany Univ Tubingen Dept Strateg Med Dev & Qual Management Tubingen Germany Univ Stuttgart Inst Visualisat & Interact Syst Stuttgart Germany

ISBN: (数字)9781728127828

ISBN: (纸本)9781728127828

In modern psychotherapy, digital health technology offers advanced and personalized therapy options, increasing availability as well as ecological validity. These aspects have proven to be highly relevant for children and adolescents with obsessive-compulsive disorder (OCD). Exposure and Response Prevention therapy, which is the state-of-the-art treatment for OCD, builds on the reconstruction of everyday life exposure to anxious situations. However, while compulsive behavior pre-dominantly occurs in home environments, exposure situations during therapy are limited to clinical settings. Telemedical treatment allows to shift from this limited exposure reconstruction to exposure situations in real life. In the SSTeP KiZ study (smart sensor technology in telepsychotherapy for children and adolescents with OCD), we combine video therapy with wearable sensors delivering physiological and behavioral measures to objectively determine the stress level of patients. The setup allows to gain information from exposure to stress in a realistic environment both during and outside of therapy sessions. In a first pilot study, we explored the sensitivity of individual sensor modalities to different levels of stress and anxiety. For this, we captured the obsessive-compulsive behavior of five adolescents with an ECG chest belt, inertial sensors capturing hand movements, and an eye tracker. Despite their prototypical nature, our results deliver strong evidence that the examined sensor modalities yield biomarkers allowing for personalized detection and quantification of stress and anxiety. This opens up future possibilities to evaluate the severity of individual compulsive behavior based on multi-variate state classification in real-life situations.

关键词： Pediatrics Sensitivity Tracking Anxiety disorders Medical treatment Behavioral sciences biomedical monitoring

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Transformative Potential IoT sensor Frameworks for Real-Time Alzheimer's Detection and Monitoring in Elderly Populations

Transformative Potential IoT Sensor Frameworks for Real-Time...

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Advances in Computing Research on Science Engineering and technology (ACROSET), International conference on

作者： Kamlesh Mani Kamlesh Kumar Singh Ratnesh Litoriya Computer science and engineering Amity University Lucknow India Electronics and Communication Amity University Lucknow India Computer science and engineering Medi-Caps University Indore India

ISBN: (数字)9798350388800

ISBN: (纸本)9798350388817

This review paper presents a comprehensive overview of IoT sensor-based frameworks for real-time Alzheimer's disease detection and monitoring in elderly populations. The paper examines the current state of Alzheimer's disease, including its definition, stages, symptoms, and challenges in diagnosis. It explores the importance of early detection and monitoring in improving patient outcomes and highlights the role of IoT sensors in enabling real-time monitoring of physiological parameters, activity levels, and behavior patterns associated with Alzheimer's disease. The paper discusses various applications of IoT sensors in healthcare and disease monitoring, including smart home monitoring systems, wearable sensor-based interventions, and community-based screening programs. It analyzes methodologies, technologies, and outcomes in IoT sensor-based research, emphasizing the integration of machine learning algorithms for real-time analysis of sensor data. Additionally, the paper addresses challenges and future directions in the field, including regulatory and ethical considerations, technical challenges, and potential advancements. Overall, this review paper underscores the transformative potential of IoT sensor-based frameworks in improving early detection, personalized care, and disease management for individuals living with Alzheimer's disease.

关键词： Machine learning algorithms Reviews Medical services Real-time systems sensors Alzheimer's disease biomedical monitoring Older adults Monitoring Intelligent sensors

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Automated Detection of Pneumothorax Using Frontal Chest x-Rays 1

Automated Detection of Pneumothorax Using Frontal Chest X-Ra...

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1st International conference on Technologies for smart Green Connected Society 2021, ICTSGS 2021

作者： Mathumetha, P. Rajagopal, Sivakumar Vaidya, Shailly Alhadidi, Basim Department of Sensor and Biomedical Technology School of Electronics Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Computer Information Systems Al-Balqa Applied University Salt 19117 Jordan

ISBN: (纸本)9781607685395

Pneumothorax detection can assist doctors in treatment and diagnosis of diseases more accurately. In this paper automated method employed image segmentation techniques for the detection. The preprocessing methods are handled by image processing techniques along on which Support Vector machine is applied to classify normal and abnormal lung chest x-ray. Features are extracted from lung image with the texture based segmentation techniques. The gray level incurrence matrices segmentation method increase accuracy rate with AUC 0.91. The automation system promises to deliver efficient and accurate recognition of a collapsed lung in a patient. © The Electrochemical Society

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smart Health Monitoring for Comatose Patients: Integrating IoT and Real-Time Alerts

Smart Health Monitoring for Comatose Patients: Integrating I...

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International conference of Electronics, Communication and Aerospace technology (ICECA)

作者： K Thivyabrabha C Saranya R Aakash T Abishek S Mohamed Hussain Department of Biomedical Engineering Nandha Engineering College Erode India

ISBN: (数字)9798350367904

ISBN: (纸本)9798350367911

This research study develops a specialized monitoring and warning system tailored for coma patients to ensure timely and accurate assessment of their health status. The system integrates various physiological markers, including temperature, heart rate, urine level, finger movement, and blink frequency, using non-invasive sensors. Alongside critical indicators, it continuously monitors these parameters to enable rapid caregiver and medical specialist responses to significant changes in the patient’s condition. Additionally, the system incorporates email and phone notifications for immediate alerts. A computer vision-based eye blink monitoring module tracks and evaluates neurological activity through blink frequency analysis. Furthermore, a real-time urine level monitoring system employs sensors to gather and transmit data, facilitating early detection of potential health issues. Future work includes leveraging AI and machine learning for predictive analytics and enhancing interoperability with other medical devices for comprehensive healthcare management.

关键词： Temperature sensors Temperature measurement Accuracy Tracking Fingers sensor systems Real-time systems Reliability biomedical monitoring Monitoring

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Optical Scanning System for Imaging of Heterogeneity in Biological Tissues 1

Optical Scanning System for Imaging of Heterogeneity in Biol...

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1st International conference on Technologies for smart Green Connected Society 2021, ICTSGS 2021

作者： Jeeva, J.B. Elliot, C. Jim Singh, Megha Department of Sensor & Biomedical Technology School of Electronics Engineering Vellore Institute of Technology Vellore632014 India Department of Biomedical Engineering School of Electronics Electrical and Biomedical Technology Kalasalingam Academy of Research & Education Srivilliputhur Krishnankoil626126 India Center for Biomedical Engineering S. G. N. Educational Foundation 12 3rd Street Park Avenue Chennai600042 India

ISBN: (纸本)9781607685395

A noninvasive hand-held optical probe for imaging of biological tissues consists of nine units. Each unit is equipped with one red LED and three photodetectors placed at distances 7, 12 and 17mm from the source along the x-axis. For testing, three phantoms of paraffin wax are embedded with solid inhomogeneity placed at various depths. Human biological tissues consisting of right index finger, four fingers of the same hand and a part of the forearm below elbow joint are used. The data on optical backscattering are collected by moving the probe on the surface of phantom/tissue and after processing the respective images are obtained. Three images of the index finger show the tissue structural variation in various layers, which are in agreement with anatomical details and radiograph of the finger. The tissue details of four fingers are in agreement with that of individual finger. Similarly, the three images of the forearm show the structural variation. These observations suggest that the present technique may be used to detect tissue compositional changes below the skin. © The Electrochemical Society

关键词： Tissue

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