Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152221
Mariella Särestöniemi, K. Sayrafian-Pour, M. Sonkki, J. Iinatti
Flexible electronics are envisioned to play a major role in future wearable medical devices. An important component of this technology is flexible antennas. This paper presents a preliminary study of on-body and off-body propagation channels in Body Area Networks (BAN) using a small Ultra WideBand (UWB) flexible wearable antenna. The research is carried out with physical measurements in an anechoic chamber and a small laboratory room. The on-body measurements include propagation channels between two wearable devices placed on the head and various locations on the arm (i.e., shoulder to wrist). The off-body measurements cover propagation channels between a head-mounted device and an external device placed at various distances from the body. The wearable devices in these measurements use a small flexible antenna that can easily conform to the surface of the body. The measurements are conducted to better understand and characterize the wireless communication channels in applications such as brain monitoring or brain computer interface. The measurement results show that the UWB flexible antenna presented here performs well for both on-body and off-body communication channels.
{"title":"A Preliminary Study of On/Off-Body Propagation Channels for Brain Telemetry Using a Flexible Wearable Antenna","authors":"Mariella Särestöniemi, K. Sayrafian-Pour, M. Sonkki, J. Iinatti","doi":"10.1109/ISMICT58261.2023.10152221","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152221","url":null,"abstract":"Flexible electronics are envisioned to play a major role in future wearable medical devices. An important component of this technology is flexible antennas. This paper presents a preliminary study of on-body and off-body propagation channels in Body Area Networks (BAN) using a small Ultra WideBand (UWB) flexible wearable antenna. The research is carried out with physical measurements in an anechoic chamber and a small laboratory room. The on-body measurements include propagation channels between two wearable devices placed on the head and various locations on the arm (i.e., shoulder to wrist). The off-body measurements cover propagation channels between a head-mounted device and an external device placed at various distances from the body. The wearable devices in these measurements use a small flexible antenna that can easily conform to the surface of the body. The measurements are conducted to better understand and characterize the wireless communication channels in applications such as brain monitoring or brain computer interface. The measurement results show that the UWB flexible antenna presented here performs well for both on-body and off-body communication channels.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152165
Fardad Vakilipoor, Abdulhamid N. M. Ansari, M. Ferrari, Maurizio Magarini
This paper proposes a method to estimate the direction of a point source in a diffusive molecular communication (MC) system. The estimator neither requires the knowledge of the number of released molecules nor the distance from the source. The goal is achieved via a specifically designed spherical array of receivers composed of a finite number of fully-absorbing (FA) elements, i.e. receivers. It is proved that the source direction estimation without the knowledge of the number of released molecules is feasible only for the symmetrical configuration of receivers on the array. The proposed approach is based on a model for the temporal asymptotic number of molecules absorbed by multiple FA receivers that takes into account their reciprocal interaction. The accuracy of the estimation is measured in terms of root mean squared error for different scenarios.
{"title":"Estimation of Source Direction with Spherical Array Receiver in Molecular Communication","authors":"Fardad Vakilipoor, Abdulhamid N. M. Ansari, M. Ferrari, Maurizio Magarini","doi":"10.1109/ISMICT58261.2023.10152165","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152165","url":null,"abstract":"This paper proposes a method to estimate the direction of a point source in a diffusive molecular communication (MC) system. The estimator neither requires the knowledge of the number of released molecules nor the distance from the source. The goal is achieved via a specifically designed spherical array of receivers composed of a finite number of fully-absorbing (FA) elements, i.e. receivers. It is proved that the source direction estimation without the knowledge of the number of released molecules is feasible only for the symmetrical configuration of receivers on the array. The proposed approach is based on a model for the temporal asymptotic number of molecules absorbed by multiple FA receivers that takes into account their reciprocal interaction. The accuracy of the estimation is measured in terms of root mean squared error for different scenarios.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133756241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Livestock production is a crucial part of the global economy with a worth of estimated $1.4 trillion. It provides livelihoods for 1.3 billion people and supports 600 million poor rural household farmers in developing countries. In Bangladesh, it contributes 6.5% to the country's GDP. However, this industry faces substantial financial setbacks when contagious diseases transmit among their livestock. One of the most common and expensive diseases affecting the livestock industry is Bovine Mastitis. This paper presents a real-time system for detecting bovine mastitis in livestock using deep learning (dl) and machine learning (ml) techniques. The system aims to provide a timely and accurate diagnosis of mastitis, ultimately reducing costs and improving the efficiency of treatment. By utilizing dl and ml techniques, the system is able to analyze data collected from edge devices and make accurate predictions about the presence of mastitis. The dataset that has been used for the classification contains both an Image dataset consisting of 1341 images and a Numerical dataset that had been taken from 1100 cows over a period of six days. The edge device utilizes sensors and cameras to collect data from the cow, which is then processed through ml and dl algorithms using Raspberry Pi and cloud computing respectively, and then displays if the cow is infected with mastitis or not. Inception V3 and RandomForest algorithms were used for dl and ml, respectively, and had an accuracy of 99.34% and 99% respectively. The proposed system has the potential to significantly reduce the economic impact of this disease in the dairy industry of Bangladesh and other developing countries by providing timely and accurate diagnosis and helping to improve treatment efficiency and protect the health and productivity of livestock animals.
{"title":"Real-Time Mastitis Detection in Livestock using Deep Learning and Machine Learning Leveraging Edge Devices","authors":"Kawshik Kumar Ghosh, Md. Fahim Ul Islam, Abrar Ahsan Efaz, Amitabha Chakrabarty, Shahriar Hossain","doi":"10.1109/ISMICT58261.2023.10152110","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152110","url":null,"abstract":"Livestock production is a crucial part of the global economy with a worth of estimated $1.4 trillion. It provides livelihoods for 1.3 billion people and supports 600 million poor rural household farmers in developing countries. In Bangladesh, it contributes 6.5% to the country's GDP. However, this industry faces substantial financial setbacks when contagious diseases transmit among their livestock. One of the most common and expensive diseases affecting the livestock industry is Bovine Mastitis. This paper presents a real-time system for detecting bovine mastitis in livestock using deep learning (dl) and machine learning (ml) techniques. The system aims to provide a timely and accurate diagnosis of mastitis, ultimately reducing costs and improving the efficiency of treatment. By utilizing dl and ml techniques, the system is able to analyze data collected from edge devices and make accurate predictions about the presence of mastitis. The dataset that has been used for the classification contains both an Image dataset consisting of 1341 images and a Numerical dataset that had been taken from 1100 cows over a period of six days. The edge device utilizes sensors and cameras to collect data from the cow, which is then processed through ml and dl algorithms using Raspberry Pi and cloud computing respectively, and then displays if the cow is infected with mastitis or not. Inception V3 and RandomForest algorithms were used for dl and ml, respectively, and had an accuracy of 99.34% and 99% respectively. The proposed system has the potential to significantly reduce the economic impact of this disease in the dairy industry of Bangladesh and other developing countries by providing timely and accurate diagnosis and helping to improve treatment efficiency and protect the health and productivity of livestock animals.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152132
J. Kokkoniemi
The reconfigurable intelligent surfaces (RISs) are expected to be a cheap way to extend service areas of base stations. This is especially promising in the millimeter wave and THz bands (from 30 GHz to +300 GHz) where base station coverage is expected to be modest and suffer greatly from blockages. As the RISs can potentially be large (physically and via number of sub-elements), there is a good change that a user is in the near field of the RIS. This paper considers RIS near field propagation and achievable power levels close to these surfaces. Ideal energy levels are looked into among with the impact of beamforming and beam squinting. Human safety issues close to these surfaces are also analyzed from the energy density point of view. It is shown that the achievable received power in the near field are very good, but the beam squinting may have a significant impact on the received power and frequency response. We also conclude that RISs are safe for humans even at close proximity due to relatively large channel losses in the reflected channels and hence low power densities in the air.
{"title":"Analysis of Received Power via RIS in Near Field LOS Channels","authors":"J. Kokkoniemi","doi":"10.1109/ISMICT58261.2023.10152132","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152132","url":null,"abstract":"The reconfigurable intelligent surfaces (RISs) are expected to be a cheap way to extend service areas of base stations. This is especially promising in the millimeter wave and THz bands (from 30 GHz to +300 GHz) where base station coverage is expected to be modest and suffer greatly from blockages. As the RISs can potentially be large (physically and via number of sub-elements), there is a good change that a user is in the near field of the RIS. This paper considers RIS near field propagation and achievable power levels close to these surfaces. Ideal energy levels are looked into among with the impact of beamforming and beam squinting. Human safety issues close to these surfaces are also analyzed from the energy density point of view. It is shown that the achievable received power in the near field are very good, but the beam squinting may have a significant impact on the received power and frequency response. We also conclude that RISs are safe for humans even at close proximity due to relatively large channel losses in the reflected channels and hence low power densities in the air.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114686897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152168
M. Hämäläinen, L. Mucchi, Tuomas Paso, D. Anzai, Hirokazu Tanaka, C. Lanting, Marco Hernandez
In this paper we are updating the current status of the development of the smart body area network standardization process carried out at ETSI, the European Telecommunications Standards Institute under the Technical Committee Smart Body Area Networks, TC SmartBAN. Due to the increasing interest in monitoring personal health and wellness related vital signs, daily activity and so on, a person is nowadays, and in the future expected even more, to carry various wearable interconnected sensing devices. This forms a base for creating and using wireless body area networks (WBAN), which can simplify the architecture to link various wearable sensor nodes distributed around a human body jointly with a low-power radio and sensing technologies.
在本文中，我们正在更新智能体域网络标准化进程的发展现状，该进程由ETSI(欧洲电信标准协会，隶属于智能体域网络技术委员会TC SmartBAN)执行。由于人们对监测个人健康和与健康相关的生命体征、日常活动等越来越感兴趣，人们现在甚至未来都希望携带各种可穿戴的互联传感设备。这为无线身体区域网络(wireless body area network, WBAN)的创建和使用奠定了基础，它可以简化架构，将分布在人体周围的各种可穿戴传感器节点与低功耗无线电和传感技术联合起来。
{"title":"Recent Progress in ETSI TC SmartBAN Standardization","authors":"M. Hämäläinen, L. Mucchi, Tuomas Paso, D. Anzai, Hirokazu Tanaka, C. Lanting, Marco Hernandez","doi":"10.1109/ISMICT58261.2023.10152168","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152168","url":null,"abstract":"In this paper we are updating the current status of the development of the smart body area network standardization process carried out at ETSI, the European Telecommunications Standards Institute under the Technical Committee Smart Body Area Networks, TC SmartBAN. Due to the increasing interest in monitoring personal health and wellness related vital signs, daily activity and so on, a person is nowadays, and in the future expected even more, to carry various wearable interconnected sensing devices. This forms a base for creating and using wireless body area networks (WBAN), which can simplify the architecture to link various wearable sensor nodes distributed around a human body jointly with a low-power radio and sensing technologies.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115960986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152290
S. Caputo, Giacomo Borghini, S. Jayousi, Adnan Rashid Chaudhry, L. Mucchi
Visible Light Communication (VLC) technology is proposed as a promising solution that uses light-emitting diodes (LEDs) to transmit data and illumination in the visible portion of the electromagnetic spectrum. VLC offers a large unlicensed bandwidth, high-speed wireless communication, and can also be used for localization purposes. VLC technology, combined with RF communication, could help achieve the sixth generation (6G) of mobile communication targets in terms of low power consumption, high data rate, high reliability, massive user connectivity, low latency, and high security. While VLC technology has been explored in various fields such as high-speed internet connection, autonomous driving, and positioning systems, its potential use in healthcare applications remains relatively unexplored. The paper aims to provide an overview of the current state of research on VLC in healthcare and highlights its promising potential.
{"title":"Visible Light Communications for Healthcare Applications: Opportunities and Challenges","authors":"S. Caputo, Giacomo Borghini, S. Jayousi, Adnan Rashid Chaudhry, L. Mucchi","doi":"10.1109/ISMICT58261.2023.10152290","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152290","url":null,"abstract":"Visible Light Communication (VLC) technology is proposed as a promising solution that uses light-emitting diodes (LEDs) to transmit data and illumination in the visible portion of the electromagnetic spectrum. VLC offers a large unlicensed bandwidth, high-speed wireless communication, and can also be used for localization purposes. VLC technology, combined with RF communication, could help achieve the sixth generation (6G) of mobile communication targets in terms of low power consumption, high data rate, high reliability, massive user connectivity, low latency, and high security. While VLC technology has been explored in various fields such as high-speed internet connection, autonomous driving, and positioning systems, its potential use in healthcare applications remains relatively unexplored. The paper aims to provide an overview of the current state of research on VLC in healthcare and highlights its promising potential.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130788927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152140
Giacomo Borghini, S. Caputo, L. Mucchi, Adnan Rashid Chaudhry, S. Jayousi, M. Hämäläinen, Tuomas Paso, Marco Hernandez
Wireless Body Area Network (WBAN) is vulnerable to various security threats including both active and passive attacks. It is important to implement effective security measures to mitigate these threats and ensure the security requirements of medical information transmitted over WBANs. In this paper, a comparison of the security features of different standards suitable for WBANs are presented. The various security protocols, made by different global standard organizations, such as the Institute of Electrical and Electronic Engineers (IEEE) and European Telecommunications Standards Institute (ETSI), for WBAN, are analyzed. Moreover, it also presented their current work in the context of WBAN security and what their future directions are.
{"title":"Security of Wireless Body Area Networks for Healthcare Applications: Comparison between ETSI and IEEE Approaches","authors":"Giacomo Borghini, S. Caputo, L. Mucchi, Adnan Rashid Chaudhry, S. Jayousi, M. Hämäläinen, Tuomas Paso, Marco Hernandez","doi":"10.1109/ISMICT58261.2023.10152140","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152140","url":null,"abstract":"Wireless Body Area Network (WBAN) is vulnerable to various security threats including both active and passive attacks. It is important to implement effective security measures to mitigate these threats and ensure the security requirements of medical information transmitted over WBANs. In this paper, a comparison of the security features of different standards suitable for WBANs are presented. The various security protocols, made by different global standard organizations, such as the Institute of Electrical and Electronic Engineers (IEEE) and European Telecommunications Standards Institute (ETSI), for WBAN, are analyzed. Moreover, it also presented their current work in the context of WBAN security and what their future directions are.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128296280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152231
Ivana Kovacevic, Rana Inzimam Ul Haq, Jude Okwuibe, T. Kumar, S. Glisic, M. Ylianttila, E. Harjula
Future healthcare services will extensively exploit wireless telehealth solutions in various healthcare use cases from preventive home monitoring to highly demanding real-time scenarios, such as monitoring an emergency patient's vital functions in an ambulance or ICU unit. Reliable real-time communications and computing are needed to enable these highly critical health services. However, the majority of current telehealth use cases are cloud - based, which poses a challenge to provide sufficient Quality of Service (QoS). The traditional centralized cloud infrastructure cannot meet the latency and reliability requirements due to long and unreliable communication routes. Therefore, the most advanced cloud solutions integrate edge computing as an integral part of the computational architecture to bring a part of the computational infrastructure to the proximity of the data sources and end-nodes, thus constituting an edge-cloud continuum. This continuum is capable of serving applications with real-time requirements. However, since edge computing capacity is a limited resource, solutions are needed for deciding which tasks should be run on edge and which at the data center. In this paper, we propose a machine learning-based solution to prioritize ultra-low-latency tasks for running on the edge to meet their strict delay requirements while leaving other tasks to be executed at remote servers. Our proposed solution in comparison to the baseline has a significantly lower dropping rate and outperforms fixed - interval scheduling solutions in terms of resource efficiency.
{"title":"Reinforcement Learning based Cloud and Edge Resource Allocation for Real-Time Telemedicine","authors":"Ivana Kovacevic, Rana Inzimam Ul Haq, Jude Okwuibe, T. Kumar, S. Glisic, M. Ylianttila, E. Harjula","doi":"10.1109/ISMICT58261.2023.10152231","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152231","url":null,"abstract":"Future healthcare services will extensively exploit wireless telehealth solutions in various healthcare use cases from preventive home monitoring to highly demanding real-time scenarios, such as monitoring an emergency patient's vital functions in an ambulance or ICU unit. Reliable real-time communications and computing are needed to enable these highly critical health services. However, the majority of current telehealth use cases are cloud - based, which poses a challenge to provide sufficient Quality of Service (QoS). The traditional centralized cloud infrastructure cannot meet the latency and reliability requirements due to long and unreliable communication routes. Therefore, the most advanced cloud solutions integrate edge computing as an integral part of the computational architecture to bring a part of the computational infrastructure to the proximity of the data sources and end-nodes, thus constituting an edge-cloud continuum. This continuum is capable of serving applications with real-time requirements. However, since edge computing capacity is a limited resource, solutions are needed for deciding which tasks should be run on edge and which at the data center. In this paper, we propose a machine learning-based solution to prioritize ultra-low-latency tasks for running on the edge to meet their strict delay requirements while leaving other tasks to be executed at remote servers. Our proposed solution in comparison to the baseline has a significantly lower dropping rate and outperforms fixed - interval scheduling solutions in terms of resource efficiency.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152089
N. Alsbou, Reuben Lane, Lalita Gurung, Imad Ali
Internet of Things (IoT)-enabled networks have utilized progress in wireless sensor technologies to bring greater connectivity to homes, streets, cars, offices, industries, college campuses, and even entire cities. One area which would greatly benefit from this is the biology laboratory setting, where constant and careful monitoring of samples is often required. This work proposes the implementation of a smart biology lab to assist with the maintenance of cell cultures and the production of accurate and reliable research. Cisco Packet Tracer, a network simulation tool, simulates the firewall-secured laboratory network with embedded IoT functions of environmental data sensing and storage, motion-activated lighting, and cell culture monitoring through a smart incubator. A hardware implementation of the system was developed and tested with the additional functionality of push notifications to alert users of abnormal data readings.
{"title":"Simulation and Implementation of an IoT-based Secure Smart Biology Laboratory for Smart Cities","authors":"N. Alsbou, Reuben Lane, Lalita Gurung, Imad Ali","doi":"10.1109/ISMICT58261.2023.10152089","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152089","url":null,"abstract":"Internet of Things (IoT)-enabled networks have utilized progress in wireless sensor technologies to bring greater connectivity to homes, streets, cars, offices, industries, college campuses, and even entire cities. One area which would greatly benefit from this is the biology laboratory setting, where constant and careful monitoring of samples is often required. This work proposes the implementation of a smart biology lab to assist with the maintenance of cell cultures and the production of accurate and reliable research. Cisco Packet Tracer, a network simulation tool, simulates the firewall-secured laboratory network with embedded IoT functions of environmental data sensing and storage, motion-activated lighting, and cell culture monitoring through a smart incubator. A hardware implementation of the system was developed and tested with the additional functionality of push notifications to alert users of abnormal data readings.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132620275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1109/ISMICT58261.2023.10152069
N. Alsbou, Karidjatou Cisse, Colton Cox, Mubaraak Akinbola, Imad Ali
When discussing medical imaging systems, microwave imaging is considered one of the emerging techniques that provide fast, safe, cost effective and noninvasive medical imaging modality compared to other conventional imaging techniques such as x-ray, magnetic resonance imaging (MRI), and computed tomography imaging (CT). The imaging in microwave imaging system can be performed by mapping the interactions of microwave photons with the medium including signal reflection, attenuation and propagation. These factors are dependent on the water or blood content of the tissue. The maps of electromagnetic properties of the tissue generated with microwave imaging is used to generate medical images for different clinical applications such as leukemia, bone degradation, tumor and traumatic brain injury (TBI) detection. This paper proposes a medical imaging system that is able to produce three-dimensional images in a much safer and cheaper way compared to conventional imaging methods. The medical imaging system proposed is a work in progress and this paper is intended to outline the design and show the preliminary medical images obtained.
{"title":"Medical Imaging System Design using Microwave Antennas and Portable Platform","authors":"N. Alsbou, Karidjatou Cisse, Colton Cox, Mubaraak Akinbola, Imad Ali","doi":"10.1109/ISMICT58261.2023.10152069","DOIUrl":"https://doi.org/10.1109/ISMICT58261.2023.10152069","url":null,"abstract":"When discussing medical imaging systems, microwave imaging is considered one of the emerging techniques that provide fast, safe, cost effective and noninvasive medical imaging modality compared to other conventional imaging techniques such as x-ray, magnetic resonance imaging (MRI), and computed tomography imaging (CT). The imaging in microwave imaging system can be performed by mapping the interactions of microwave photons with the medium including signal reflection, attenuation and propagation. These factors are dependent on the water or blood content of the tissue. The maps of electromagnetic properties of the tissue generated with microwave imaging is used to generate medical images for different clinical applications such as leukemia, bone degradation, tumor and traumatic brain injury (TBI) detection. This paper proposes a medical imaging system that is able to produce three-dimensional images in a much safer and cheaper way compared to conventional imaging methods. The medical imaging system proposed is a work in progress and this paper is intended to outline the design and show the preliminary medical images obtained.","PeriodicalId":332729,"journal":{"name":"2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131467304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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