Pub Date : 2022-05-02DOI: 10.1109/ismict56646.2022.9828283
Sergio López Bernal, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Ruben Ortega Romero, Alberto Huertas Celdrán, G. Pérez
Brain-Computer Interfaces (BCIs) are bidirectional devices that have allowed people to control computers or external devices through their brain activity. The P300 Speller is one of the most widely used BCI applications, where subjects can transmit textual information mentally with satisfactory performance. However, the P300 Speller still has room for improvement in practical use, such as selecting the best balance between accuracy and speed. Based on a lack of literature in this direction, this study evaluates two distinct approaches to the P300 Speller. The first is based on rows and columns following the traditional implementation, while the second is based on regions, employing subsets of characters during spelling. In both approaches, the effects of two different stimulus presentation parameters (the number of repetitions per stimulus and the interval between them) on the accuracy and performance efficiency of the P300 Speller are studied. The results show that both approaches obtain similar values in terms of detection performance, obtaining around 75% F1-score for predicting a character with four series of 12 blinks per character. In addition, the region-based approach presents a more robust scheme for false predictions, maintaining a similar spelling duration. The theoretical study performed indicates that spelling a character requires around one minute.
{"title":"Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography","authors":"Sergio López Bernal, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Ruben Ortega Romero, Alberto Huertas Celdrán, G. Pérez","doi":"10.1109/ismict56646.2022.9828283","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828283","url":null,"abstract":"Brain-Computer Interfaces (BCIs) are bidirectional devices that have allowed people to control computers or external devices through their brain activity. The P300 Speller is one of the most widely used BCI applications, where subjects can transmit textual information mentally with satisfactory performance. However, the P300 Speller still has room for improvement in practical use, such as selecting the best balance between accuracy and speed. Based on a lack of literature in this direction, this study evaluates two distinct approaches to the P300 Speller. The first is based on rows and columns following the traditional implementation, while the second is based on regions, employing subsets of characters during spelling. In both approaches, the effects of two different stimulus presentation parameters (the number of repetitions per stimulus and the interval between them) on the accuracy and performance efficiency of the P300 Speller are studied. The results show that both approaches obtain similar values in terms of detection performance, obtaining around 75% F1-score for predicting a character with four series of 12 blinks per character. In addition, the region-based approach presents a more robust scheme for false predictions, maintaining a similar spelling duration. The theoretical study performed indicates that spelling a character requires around one minute.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115634183","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828263
Max Bartunik, Oliver Keszöcze, Benjamin Schiller, J. Kirchner
Molecular communication presents a new approach for data transmission between miniaturised devices, especially in the context of medical applications. A communication link is established using molecules, or other particles in the nanoscale, to modulate information. Due to a lack of data or changing physical parameters, the information channel often cannot be modelled accurately. Deep Learning provides a solution to receive a transmitted data sequence without the need for an analytical description of the channel. We present a proof-of-concept for the application of a Convolutional Neural Network to demodulate a signal using concentration shift keying. The demodulation predictor is evaluated with experimental data from a testbed using magnetic nanoparticles in an active background flow in comparison to a conventional learning approach with Linear Discriminant Analysis. The new demodulator shows a better performance for higher symbol rates than the conventional approach. Using a modulation alphabet with 8 symbols a data rate of more than 5.5 bit s−1 can be achieved. The constructed neural network can be trained in under two minutes and can easily be adapted to changing transmission parameters.
分子通信为小型化设备之间的数据传输提供了一种新的方法，特别是在医疗应用的背景下。利用分子或纳米级的其他粒子来调制信息，建立通信链路。由于缺乏数据或变化的物理参数，信息通道往往不能准确建模。深度学习提供了一种不需要对信道进行分析描述就能接收传输数据序列的解决方案。我们提出了卷积神经网络应用的概念验证，以解调信号使用浓度移位键控。与传统的线性判别分析学习方法相比，在主动背景流中使用磁性纳米颗粒测试平台的实验数据对解调预测器进行了评估。与传统的解调方法相比，该方法在更高的符号速率下具有更好的性能。使用具有8个符号的调制字母表，可以实现超过5.5 bit s−1的数据速率。所构建的神经网络可以在两分钟内完成训练，并且可以很容易地适应传输参数的变化。
{"title":"Using Deep Learning to Demodulate Transmissions in Molecular Communication","authors":"Max Bartunik, Oliver Keszöcze, Benjamin Schiller, J. Kirchner","doi":"10.1109/ismict56646.2022.9828263","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828263","url":null,"abstract":"Molecular communication presents a new approach for data transmission between miniaturised devices, especially in the context of medical applications. A communication link is established using molecules, or other particles in the nanoscale, to modulate information. Due to a lack of data or changing physical parameters, the information channel often cannot be modelled accurately. Deep Learning provides a solution to receive a transmitted data sequence without the need for an analytical description of the channel. We present a proof-of-concept for the application of a Convolutional Neural Network to demodulate a signal using concentration shift keying. The demodulation predictor is evaluated with experimental data from a testbed using magnetic nanoparticles in an active background flow in comparison to a conventional learning approach with Linear Discriminant Analysis. The new demodulator shows a better performance for higher symbol rates than the conventional approach. Using a modulation alphabet with 8 symbols a data rate of more than 5.5 bit s−1 can be achieved. The constructed neural network can be trained in under two minutes and can easily be adapted to changing transmission parameters.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124916570","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828176
{"title":"ISMICT 2022 Cover Page","authors":"","doi":"10.1109/ismict56646.2022.9828176","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828176","url":null,"abstract":"","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115152096","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828233
Tran Hiep Dinh, Quang Manh Doan, N. Trung, Diep N. Nguyen, Chin-Teng Lin
Mask mandate has been applied in many countries in the last two years as a simple but effective way to limit the Covid-19 transmission. Besides the guidance from authorities regarding mask use in public, numerous vision-based approaches have been developed to aid with the monitoring of face mask wearing. Despite promising results have been obtained, several challenges in vision-based masked face detection still remain, primarily due to the insufficient of a quality dataset covering adequate variations in lighting conditions, object scales, mask types, or occlusion levels. In this paper, we investigate the effectiveness of a lightweight masked face detection system under different lighting conditions and the possibility of enhancing its performance with the employment of an image enhancement algorithm and an illumination awareness classifier. A dataset of human subjects with and without face masks in different lighting conditions is first introduced. An illumination awareness classifier is then trained on the collected dataset, the labeling of which is processed automatically based on the difference in detection accuracy when an image enhancement algorithm is taken into account. Experimental results have shown that the combination of the masked face detection system with the illumination awareness and an image enhancement algorithm can boost the system performance to up to 8.6%, 7.4%, and 8.5% in terms of Accuracy, F1-score, and AP-M, respectively.
{"title":"Masked Face Detection with Illumination Awareness","authors":"Tran Hiep Dinh, Quang Manh Doan, N. Trung, Diep N. Nguyen, Chin-Teng Lin","doi":"10.1109/ismict56646.2022.9828233","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828233","url":null,"abstract":"Mask mandate has been applied in many countries in the last two years as a simple but effective way to limit the Covid-19 transmission. Besides the guidance from authorities regarding mask use in public, numerous vision-based approaches have been developed to aid with the monitoring of face mask wearing. Despite promising results have been obtained, several challenges in vision-based masked face detection still remain, primarily due to the insufficient of a quality dataset covering adequate variations in lighting conditions, object scales, mask types, or occlusion levels. In this paper, we investigate the effectiveness of a lightweight masked face detection system under different lighting conditions and the possibility of enhancing its performance with the employment of an image enhancement algorithm and an illumination awareness classifier. A dataset of human subjects with and without face masks in different lighting conditions is first introduced. An illumination awareness classifier is then trained on the collected dataset, the labeling of which is processed automatically based on the difference in detection accuracy when an image enhancement algorithm is taken into account. Experimental results have shown that the combination of the masked face detection system with the illumination awareness and an image enhancement algorithm can boost the system performance to up to 8.6%, 7.4%, and 8.5% in terms of Accuracy, F1-score, and AP-M, respectively.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126734961","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828353
Tomoka Tsuchiya, T. Saiki, T. Nakano
Recent studies in cancer biology reveal that cancer cells form a large-scale vascular-like structure, allowing them to gain access to blood vessels and nutrient sources in a cooperative manner. To understand how cancer cells form such a structure, we develop an individual-based model of cancer cells. In our model, each cancer cell moves based on the attraction and repulsion forces. The attraction force is divided into two types: remote and contact forces. The remote force is the one that one cell exerts on another at a distance while the contact force is the one that acts between two cells in physical contact. The repulsion force represents volume exclusion effects, allowing two cells to maintain a distance from each other. It is also responsible for the upward cell motion. Also, in our model, cells divide probabilistically based on a cell cycle. Using the model we develop, we conduct computer simulation experiments and reproduce the structure of cancer cells similar to that observed in wet laboratory experiments. The model developed in this paper can be used for in silico analysis of vascular-like structure formation of cancer cells.
{"title":"Modeling and Simulations of Vascular-like Structure Formation of Cancer Cells","authors":"Tomoka Tsuchiya, T. Saiki, T. Nakano","doi":"10.1109/ismict56646.2022.9828353","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828353","url":null,"abstract":"Recent studies in cancer biology reveal that cancer cells form a large-scale vascular-like structure, allowing them to gain access to blood vessels and nutrient sources in a cooperative manner. To understand how cancer cells form such a structure, we develop an individual-based model of cancer cells. In our model, each cancer cell moves based on the attraction and repulsion forces. The attraction force is divided into two types: remote and contact forces. The remote force is the one that one cell exerts on another at a distance while the contact force is the one that acts between two cells in physical contact. The repulsion force represents volume exclusion effects, allowing two cells to maintain a distance from each other. It is also responsible for the upward cell motion. Also, in our model, cells divide probabilistically based on a cell cycle. Using the model we develop, we conduct computer simulation experiments and reproduce the structure of cancer cells similar to that observed in wet laboratory experiments. The model developed in this paper can be used for in silico analysis of vascular-like structure formation of cancer cells.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128689219","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828139
Marco Hernandez, R. Kohno, Takumi Kobayashi, Minsoo Kim
Body Area Networks (BANs) is an active field of research and development because it offers the potential of significant improvement in the delivery and monitoring of healthcare, especially for senior people or patients with chronic conditions monitored at home.Other applications may include tracking the performance of athletes, and recently the potential integration to vehicles aided by Time Sensitive Networking (TSN) to deliver high-performance communication flows to 5G and Wi-Fi networks.The standard IEEE 802.15.6™–2012 Wireless BANs aimed to solve the former issues. To address the latter, an amendment to such a standard is currently developed by the Task Group IEEE 802.15.6a. This amendment enhances the Ultra-Wideband (UWB) physical layer (PHY) and medium access control (MAC) to support dependability to human body area networks (HBAN) and adds support for vehicle body area networks (VBAN). VBAN operates under strict compliance to standards and limits for electromagnetic interference (EMI) from the vehicle’s electric and electronic systems.
{"title":"New Revision of IEEE 802.15.6 Wireless Body Area Networks","authors":"Marco Hernandez, R. Kohno, Takumi Kobayashi, Minsoo Kim","doi":"10.1109/ismict56646.2022.9828139","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828139","url":null,"abstract":"Body Area Networks (BANs) is an active field of research and development because it offers the potential of significant improvement in the delivery and monitoring of healthcare, especially for senior people or patients with chronic conditions monitored at home.Other applications may include tracking the performance of athletes, and recently the potential integration to vehicles aided by Time Sensitive Networking (TSN) to deliver high-performance communication flows to 5G and Wi-Fi networks.The standard IEEE 802.15.6™–2012 Wireless BANs aimed to solve the former issues. To address the latter, an amendment to such a standard is currently developed by the Task Group IEEE 802.15.6a. This amendment enhances the Ultra-Wideband (UWB) physical layer (PHY) and medium access control (MAC) to support dependability to human body area networks (HBAN) and adds support for vehicle body area networks (VBAN). VBAN operates under strict compliance to standards and limits for electromagnetic interference (EMI) from the vehicle’s electric and electronic systems.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128081934","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828368
Yue Xiao, Huafeng Bian, Yue Sun, Yifan Chen, Fanqiang Lin
Bio-inspired Molecular Communication (MC) is a promising communication paradigm benefiting from the advance in bio-nanotechnology. Due to diffusion motion’s slow and stochastic nature, inter-symbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. As one of the challenges in diffusion-based MC, ISI impacts signal detection significantly. This paper proposes a synchronization-assisted photolysis scheme to mitigate ISI and improve the bit error rate (BER) performance. Inspired by on-off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. We establish a hybrid channel model of diffusion and photolysis-reaction and derive the relevant channel impulse response (CIR) expression. Through the maximum posterior estimation scheme the optimal decision threshold is obtained and the BER performance of the proposed scheme is analysed in terms of different time intervals of the system. Numerical simulations show that the proposed method can eliminate ISI effectively.
{"title":"A Synchronization-assisted Photolysis Scheme to Mitigate ISI in Diffusion-based Molecular Communication","authors":"Yue Xiao, Huafeng Bian, Yue Sun, Yifan Chen, Fanqiang Lin","doi":"10.1109/ismict56646.2022.9828368","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828368","url":null,"abstract":"Bio-inspired Molecular Communication (MC) is a promising communication paradigm benefiting from the advance in bio-nanotechnology. Due to diffusion motion’s slow and stochastic nature, inter-symbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. As one of the challenges in diffusion-based MC, ISI impacts signal detection significantly. This paper proposes a synchronization-assisted photolysis scheme to mitigate ISI and improve the bit error rate (BER) performance. Inspired by on-off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. We establish a hybrid channel model of diffusion and photolysis-reaction and derive the relevant channel impulse response (CIR) expression. Through the maximum posterior estimation scheme the optimal decision threshold is obtained and the BER performance of the proposed scheme is analysed in terms of different time intervals of the system. Numerical simulations show that the proposed method can eliminate ISI effectively.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121042537","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828241
U. Chude-Okonkwo
The use of nanocarriers to encapsulate and carry drug molecules to different parts of the body for therapeutic purpose in a controlled and targeted manner has received extensive attention in the literature. To deliver the drug to the targets site, the nanocarrier has to be responsive to triggered-release stimuli. In some scenarios, the trigger stimuli will be externally introduced into the system in which case the nanocarrier must be equipped with a trigger-release mechanism. In the case where the release is initiated by membrane receptor-mediation, the responsiveness of the nanocarrier to the trigger stimuli is crucial. The responsiveness factor is a function of the nanocarrier sensitivity, which is primarily determined by the concentration of the membrane receptors. However, the nanoscale size of the nanocarrier limits the concentration of the receptor it can be equipped with. In this paper, based on the molecular communication (MC) paradigm, an approach that enhances the sensitivity of the nanocarrier to external stimuli is presented. The analytical expressions for the number of trigger molecule-receptor complex, which defines the nanocarrier sensitivity are presented. The effectiveness of the proposed model is investigated using simulation. Results show that the performance of the MC-based targeted drug delivery process is dependent on the sensitivity of the drug-carrying nanocarrier to external stimuli. In this sense, it is shown that the residence time factor can be used to greatly enhance the responsiveness of the nanocarrier to stimuli even at very low membrane receptor and stimuli concentrations.
{"title":"Enhancing Nanocarrier Trigger-Sensitivity for Targeted Drug Delivery Application using Ligand-Receptor Residence Time Factor","authors":"U. Chude-Okonkwo","doi":"10.1109/ismict56646.2022.9828241","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828241","url":null,"abstract":"The use of nanocarriers to encapsulate and carry drug molecules to different parts of the body for therapeutic purpose in a controlled and targeted manner has received extensive attention in the literature. To deliver the drug to the targets site, the nanocarrier has to be responsive to triggered-release stimuli. In some scenarios, the trigger stimuli will be externally introduced into the system in which case the nanocarrier must be equipped with a trigger-release mechanism. In the case where the release is initiated by membrane receptor-mediation, the responsiveness of the nanocarrier to the trigger stimuli is crucial. The responsiveness factor is a function of the nanocarrier sensitivity, which is primarily determined by the concentration of the membrane receptors. However, the nanoscale size of the nanocarrier limits the concentration of the receptor it can be equipped with. In this paper, based on the molecular communication (MC) paradigm, an approach that enhances the sensitivity of the nanocarrier to external stimuli is presented. The analytical expressions for the number of trigger molecule-receptor complex, which defines the nanocarrier sensitivity are presented. The effectiveness of the proposed model is investigated using simulation. Results show that the performance of the MC-based targeted drug delivery process is dependent on the sensitivity of the drug-carrying nanocarrier to external stimuli. In this sense, it is shown that the residence time factor can be used to greatly enhance the responsiveness of the nanocarrier to stimuli even at very low membrane receptor and stimuli concentrations.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115057970","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828364
Hadeel Elayan, A. Eckford, R. Adve
Miniaturization is creating innovative solutions that pave the path toward effective diagnosis and treatments. One option is molecular communication (MC), where information is exchanged between biological and artificial nanomachines through molecules emitted and absorbed by these nanodevices. Another option is electromagnetic (EM) nano-communication, which points to the Terahertz band (0.1-10 THz) as the frequency range for communication among nanobiosensors. In this work, we propose a novel stimulus-responsive paradigm that bridges the gap between the MC and THz-EM domains by stimulating proteins in the human body. We capitalize on the fact that proteins exhibit collective vibrational modes in the THz regime, which could be attributed to functionally relevant dynamics. As such, we present a study of the proposed paradigm merging the two fields. We explain the physical basis underlying the interaction between the THz signals and protein structures. We then formulate a mathematical framework that relates the protein mechanical system to its stochastic behavior. We also demonstrate the communication link established between the nanoantenna and the protein. Finally, we illustrate potential applications that showcase the importance of our proposed integrative system in advancing the future of health care.
{"title":"Toward Establishing Molecular Interfaces Using Terahertz Radiation","authors":"Hadeel Elayan, A. Eckford, R. Adve","doi":"10.1109/ismict56646.2022.9828364","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828364","url":null,"abstract":"Miniaturization is creating innovative solutions that pave the path toward effective diagnosis and treatments. One option is molecular communication (MC), where information is exchanged between biological and artificial nanomachines through molecules emitted and absorbed by these nanodevices. Another option is electromagnetic (EM) nano-communication, which points to the Terahertz band (0.1-10 THz) as the frequency range for communication among nanobiosensors. In this work, we propose a novel stimulus-responsive paradigm that bridges the gap between the MC and THz-EM domains by stimulating proteins in the human body. We capitalize on the fact that proteins exhibit collective vibrational modes in the THz regime, which could be attributed to functionally relevant dynamics. As such, we present a study of the proposed paradigm merging the two fields. We explain the physical basis underlying the interaction between the THz signals and protein structures. We then formulate a mathematical framework that relates the protein mechanical system to its stochastic behavior. We also demonstrate the communication link established between the nanoantenna and the protein. Finally, we illustrate potential applications that showcase the importance of our proposed integrative system in advancing the future of health care.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133331424","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 : 2022-05-02DOI: 10.1109/ismict56646.2022.9828189
Mariella Särestöniemi, C. Pomalaza-ráez, J. Iinatti
This paper presents a study of the radio channel characteristics between a colon capsule endoscope and a multiple on-body antenna system in ultra wideband wireless body area networks (UWB-WBAN). The main aim is to study the variation of the channel characteristics for the on-body antennas in different capsule locations throughout the whole colon area. The study is conducted with CST Studio Suite simulations and one of its anatomical voxel models. A simplified capsule model and directive on-body antennas designed for low-band UWB in-body communications are used. It is found that five of this type directive on-body antennas provide sufficient coverage over the whole colon are even in the most challenging capsule locations.
本文研究了超宽带无线体域网(UWB-WBAN)中结肠胶囊内窥镜与多体上天线系统之间的无线信道特性。主要目的是研究在整个结肠区域内不同胶囊位置的体载天线的信道特性变化。该研究是通过CST Studio Suite模拟和其中一个解剖体素模型进行的。采用简化的胶囊模型和定向体上天线设计低频段超宽带体内通信。研究发现，即使在最具挑战性的胶囊位置，这种类型的5个定向体上天线也能提供对整个结肠的足够覆盖。
{"title":"Radio Channel Study for Colon Capsule Endoscopy with Low-Band UWB Multiple Antenna System","authors":"Mariella Särestöniemi, C. Pomalaza-ráez, J. Iinatti","doi":"10.1109/ismict56646.2022.9828189","DOIUrl":"https://doi.org/10.1109/ismict56646.2022.9828189","url":null,"abstract":"This paper presents a study of the radio channel characteristics between a colon capsule endoscope and a multiple on-body antenna system in ultra wideband wireless body area networks (UWB-WBAN). The main aim is to study the variation of the channel characteristics for the on-body antennas in different capsule locations throughout the whole colon area. The study is conducted with CST Studio Suite simulations and one of its anatomical voxel models. A simplified capsule model and directive on-body antennas designed for low-band UWB in-body communications are used. It is found that five of this type directive on-body antennas provide sufficient coverage over the whole colon are even in the most challenging capsule locations.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127368250","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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