Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520044
Kolitha Warnakulasooriya, C. Premachandra, B. Sudantha, S. Sumathipala
Gesture recognition could be effectively used in most instruments targeting the life support of differently abled people. Therefore, an enhanced development was carried out targeting the miscellaneous requirements of the said kind of people. The Kinect capturing device was used to extract the 3-D information and processing could be carried out using a single board PC and the low power blue tooth module was used to get the connectivity between external devices enabling IoT features of the system. Different gestures were carefully identified and unique command set was generated covering each gesture identified. Once the system is configured identifying the relevant conditions of a particular person's hearing conditions, it could be used to address his different hearing requirements.
{"title":"IoT Empowered Gesture Recognition System for Life Style Enhancement of Differently Abled People","authors":"Kolitha Warnakulasooriya, C. Premachandra, B. Sudantha, S. Sumathipala","doi":"10.1109/ICSSE.2018.8520044","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520044","url":null,"abstract":"Gesture recognition could be effectively used in most instruments targeting the life support of differently abled people. Therefore, an enhanced development was carried out targeting the miscellaneous requirements of the said kind of people. The Kinect capturing device was used to extract the 3-D information and processing could be carried out using a single board PC and the low power blue tooth module was used to get the connectivity between external devices enabling IoT features of the system. Different gestures were carefully identified and unique command set was generated covering each gesture identified. Once the system is configured identifying the relevant conditions of a particular person's hearing conditions, it could be used to address his different hearing requirements.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131979334","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520064
N. T. Long, Nguyen Van Huong, Dao Phuong Nam, Mai Xuan Sinh, Nguyen Thu Ha
This work presents an adaptive optimal control algorithm based integral sliding mode control law for a class of continuous-time systems with input disturbance or uncertain and unknown parameters. The main objective is to find a general form of integral sliding mode control law can assure that the system states are forced to reach a sliding surface in the initial finite time. Then, an adaptive optimal control based on the approximate dynamic programming method is responsible for the robust stability of the closed-loop system. Finally, the theoretical analysis and simulation results demonstrate the performance of the proposed algorithm for a wheel inverted pendulum system.
{"title":"A Simple Approximate Dynamic Programing Based on Integral Sliding Mode Control for Unknown Linear Systems with Input Disturbance","authors":"N. T. Long, Nguyen Van Huong, Dao Phuong Nam, Mai Xuan Sinh, Nguyen Thu Ha","doi":"10.1109/ICSSE.2018.8520064","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520064","url":null,"abstract":"This work presents an adaptive optimal control algorithm based integral sliding mode control law for a class of continuous-time systems with input disturbance or uncertain and unknown parameters. The main objective is to find a general form of integral sliding mode control law can assure that the system states are forced to reach a sliding surface in the initial finite time. Then, an adaptive optimal control based on the approximate dynamic programming method is responsible for the robust stability of the closed-loop system. Finally, the theoretical analysis and simulation results demonstrate the performance of the proposed algorithm for a wheel inverted pendulum system.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131816589","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520209
Mu-Yen Chen, Hsin-Te Wu, Wen-Yu Chiu
Ever since the Internet of Things was developed, countries around the world have been applying the technology to solve current issues in agriculture, such as combating climate change and reducing labor costs. In the moment, intelligent agriculture has focused mainly on greenhouse cultivation; however, it takes significant amount of material and labor resources to build greenhouses, and their products are mostly high-valued cash crops. This study employs an outdoor farm as the field of experimentation and uses self-made model vehicles that patrols regularly to obtain information on the farm's crops. The study first establishes deep learning in intelligent agriculture to understand the farmer's farming skills so that such information may in turn help in further establishing an Internet of Things system that realizes automated farming systems. This study utilizes small, self-made model vehicles to gather crop information every day. The vehicles' designed functions include the following: (1) automated patrol along preprogrammed routes, (2) automatic photographing of each area, (3) prevention of collision between the small, self-made model vehicles, and (4) data collection of each area's temperature and humidity conditions. In this study, deep learning is employed mainly towards training and prediction of conditions based on the crop's temperature and humidity data as well as weather information. Deep learning is established first, followed by the Internet of Things, in order to achieve intelligent agriculture. The study must first acquire the farmers' cultivation skills; since such knowledge is passed on through experience and without any recordings, it can only be retrieved by means of the small model vehicles. In addition, the study also conducted simulation through hands-on experiments. The proposed scheme first collects all environment-related factors and conducts training on related coefficients, then utilizes the automatic irrigation system to allow the same kind of crops to grow in the most ideal environment. The system focuses on outdoor farms; it establishes an intelligent agriculture using minimal costs, resolving issues such as number of sensors needed, farm network accessibility, and electrical wiring.
{"title":"An Intelligent Agriculture Application Based on Deep Learning","authors":"Mu-Yen Chen, Hsin-Te Wu, Wen-Yu Chiu","doi":"10.1109/ICSSE.2018.8520209","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520209","url":null,"abstract":"Ever since the Internet of Things was developed, countries around the world have been applying the technology to solve current issues in agriculture, such as combating climate change and reducing labor costs. In the moment, intelligent agriculture has focused mainly on greenhouse cultivation; however, it takes significant amount of material and labor resources to build greenhouses, and their products are mostly high-valued cash crops. This study employs an outdoor farm as the field of experimentation and uses self-made model vehicles that patrols regularly to obtain information on the farm's crops. The study first establishes deep learning in intelligent agriculture to understand the farmer's farming skills so that such information may in turn help in further establishing an Internet of Things system that realizes automated farming systems. This study utilizes small, self-made model vehicles to gather crop information every day. The vehicles' designed functions include the following: (1) automated patrol along preprogrammed routes, (2) automatic photographing of each area, (3) prevention of collision between the small, self-made model vehicles, and (4) data collection of each area's temperature and humidity conditions. In this study, deep learning is employed mainly towards training and prediction of conditions based on the crop's temperature and humidity data as well as weather information. Deep learning is established first, followed by the Internet of Things, in order to achieve intelligent agriculture. The study must first acquire the farmers' cultivation skills; since such knowledge is passed on through experience and without any recordings, it can only be retrieved by means of the small model vehicles. In addition, the study also conducted simulation through hands-on experiments. The proposed scheme first collects all environment-related factors and conducts training on related coefficients, then utilizes the automatic irrigation system to allow the same kind of crops to grow in the most ideal environment. The system focuses on outdoor farms; it establishes an intelligent agriculture using minimal costs, resolving issues such as number of sensors needed, farm network accessibility, and electrical wiring.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133788152","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}
This study applies socket for connecting Ethernet control automation technology (EtherCAT) master program and OpenPLC. EtherCAT is a new potential protocol that might be the next generation of industrial communication. To make it fully functional, combining EtherCAT with programmable logic controller (PLC) become our first target. With Socket, a reliable API, we can implement PLC on EtherCATstructure by connecting EtherCAT master program and OpenPLC
{"title":"Applying Socket on Connecting EtherCAT and OpenPLC","authors":"Hong-Yu Lin, I-Wen Cheng, Yu-Hsuan Huang, Hung-Chun Liu, Yu-Hsin Lin, Chan-Yun Yang, Hooman Saman, Ying-Jen Chen","doi":"10.1109/ICSSE.2018.8520168","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520168","url":null,"abstract":"This study applies socket for connecting Ethernet control automation technology (EtherCAT) master program and OpenPLC. EtherCAT is a new potential protocol that might be the next generation of industrial communication. To make it fully functional, combining EtherCAT with programmable logic controller (PLC) become our first target. With Socket, a reliable API, we can implement PLC on EtherCATstructure by connecting EtherCAT master program and OpenPLC","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116254684","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520247
W. Huang, Wen Kai Yang, T. Chiang, Jyh-Homg Chou
This study investigated the application of ultrasonic atomization lubrication system with Nanofluid additive implemented in micro-milling process on SKD11 die steel. The graphene nanoparticles are employed as the additive of Nanofluid. Ultrasonic atomization system not only can effectively improve the agglomeration phenomena of Nanoparticles in Nanofluids but also provide the benefit of particle lubrication. For this experiment, Taguchi method was adopted and L934 orthogonal array was used to explore the optimal parameters. Targeting micro-milling force evaluation as the only focus, the control parameters included the average thickness and weight percentage concentration of Nano-graphene, the amount of ultrasonic atomization, and the angle of nozzle are analyzed. Based on the analysis, the optimal combination of Nano-graphene with ultrasonic atomization micro-lubrication was found, and then compared to the case of MWCNTs with ultrasonic atomization micro-lubrication and the other case of basal liquid with ultrasonic atomization micro-lubrication. According to the experiment results, the Nanofluid with Nano-graphene added can further reduce the micro-milling force of micro-milling process that suppress the burr generated by the processing. It can achieve the goal of tool life improvement and high workpiece quality. The micro-milling force using Nano-graphene with ultrasonic atomization micro-lubrication is reduced by 7.8% and 12.9% compared to the other two lubricating fluids, respectively.
{"title":"The Application of Nanofluid (Nano-Graphene)/Ultrasonic Atomization Micro-Lubrication in Micro-Milling Process on SKD11 Die Steel","authors":"W. Huang, Wen Kai Yang, T. Chiang, Jyh-Homg Chou","doi":"10.1109/ICSSE.2018.8520247","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520247","url":null,"abstract":"This study investigated the application of ultrasonic atomization lubrication system with Nanofluid additive implemented in micro-milling process on SKD11 die steel. The graphene nanoparticles are employed as the additive of Nanofluid. Ultrasonic atomization system not only can effectively improve the agglomeration phenomena of Nanoparticles in Nanofluids but also provide the benefit of particle lubrication. For this experiment, Taguchi method was adopted and L934 orthogonal array was used to explore the optimal parameters. Targeting micro-milling force evaluation as the only focus, the control parameters included the average thickness and weight percentage concentration of Nano-graphene, the amount of ultrasonic atomization, and the angle of nozzle are analyzed. Based on the analysis, the optimal combination of Nano-graphene with ultrasonic atomization micro-lubrication was found, and then compared to the case of MWCNTs with ultrasonic atomization micro-lubrication and the other case of basal liquid with ultrasonic atomization micro-lubrication. According to the experiment results, the Nanofluid with Nano-graphene added can further reduce the micro-milling force of micro-milling process that suppress the burr generated by the processing. It can achieve the goal of tool life improvement and high workpiece quality. The micro-milling force using Nano-graphene with ultrasonic atomization micro-lubrication is reduced by 7.8% and 12.9% compared to the other two lubricating fluids, respectively.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131049219","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520032
Sheng-Yang Chiu, Jui-Chien Hsieh, Chi-I Hsu, C. Chiu
Among various kinds of falling prevention measures, bed exit alarm mechanism has raised serious attention recently. In particular, the recent inflow of innovative ICT advancement from Internet of Things, wearable technology, and artificial intelligence have shed on more possibility in realizing effective bed exit alarm systems. This research proposes a deep learning algorithm to construct the bed exit detection model using monitored behavior information collected from the infrared array sensor. Based on the preliminary experiment results, the bed-exit events can be recognized with 92% accuracy, 99% for precision and 97% for recall rate. This approach also has its advantages in low device costs, less data storage needed, less spacial resolution without privacy and legal concerns, and unaffected performance in various lighting conditions.
{"title":"A Convolutional Neural Networks Approach with Infrared Array Sensor for Bed-Exit Detection","authors":"Sheng-Yang Chiu, Jui-Chien Hsieh, Chi-I Hsu, C. Chiu","doi":"10.1109/ICSSE.2018.8520032","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520032","url":null,"abstract":"Among various kinds of falling prevention measures, bed exit alarm mechanism has raised serious attention recently. In particular, the recent inflow of innovative ICT advancement from Internet of Things, wearable technology, and artificial intelligence have shed on more possibility in realizing effective bed exit alarm systems. This research proposes a deep learning algorithm to construct the bed exit detection model using monitored behavior information collected from the infrared array sensor. Based on the preliminary experiment results, the bed-exit events can be recognized with 92% accuracy, 99% for precision and 97% for recall rate. This approach also has its advantages in low device costs, less data storage needed, less spacial resolution without privacy and legal concerns, and unaffected performance in various lighting conditions.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125567170","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520053
Kai-Sheng Wang, Chen-Kang Huang
Mowing is the most fundamental practice to maintain lawn. However, this can be a monotonous, troublesome and dangerous work. It is so parlous that stones and twigs can be thrown out to the operator. It is quite difficult for person to focus during the entire period of time and tragedy can occur. Currently, the sweeping robots are quite common on the market. But, it is not so general to robotic lawn mower. Robotic lawn mower is based on computer vision and several path planning algorithms. In this work, robotic lawn mower is designed that it will run two times to finish its job. At the first round, Simultaneous Localization and Mapping (SLAM) algorithm is the main method to realize the map building, and mower also record the area which is unmown adequately via the camera on the rear of mower. At the second round, mower aims to the area has been marked and move to the area by A* Search and Depth First Search (DFS) to realize the shortest path planning. Therefore, it can perform the better efficiency than other mower which adapted random algorithm and much intelligent.
割草是维护草坪最基本的做法。然而，这可能是一项单调、麻烦和危险的工作。它是如此危险，石头和小树枝可以扔向操作员。一个人很难在整个过程中集中注意力，悲剧就会发生。目前，扫地机器人在市场上相当普遍。但是，对于机器人割草机来说，它并不是那么普遍。割草机机器人是基于计算机视觉和多种路径规划算法的割草机。在这项工作中，机器人割草机被设计成可以运行两次来完成它的工作。在第一轮中，SLAM (Simultaneous Localization and Mapping)算法是实现地图构建的主要方法，割草机也通过割草机后部的摄像头对未割区域进行充分记录。在第二轮中，割草机瞄准已标记的区域，通过A*搜索和深度优先搜索(DFS)向该区域移动，实现最短路径规划。因此，它比其他采用随机算法的割草机具有更高的效率和更高的智能。
{"title":"Intelligent Robotic Lawn Mower Design","authors":"Kai-Sheng Wang, Chen-Kang Huang","doi":"10.1109/ICSSE.2018.8520053","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520053","url":null,"abstract":"Mowing is the most fundamental practice to maintain lawn. However, this can be a monotonous, troublesome and dangerous work. It is so parlous that stones and twigs can be thrown out to the operator. It is quite difficult for person to focus during the entire period of time and tragedy can occur. Currently, the sweeping robots are quite common on the market. But, it is not so general to robotic lawn mower. Robotic lawn mower is based on computer vision and several path planning algorithms. In this work, robotic lawn mower is designed that it will run two times to finish its job. At the first round, Simultaneous Localization and Mapping (SLAM) algorithm is the main method to realize the map building, and mower also record the area which is unmown adequately via the camera on the rear of mower. At the second round, mower aims to the area has been marked and move to the area by A* Search and Depth First Search (DFS) to realize the shortest path planning. Therefore, it can perform the better efficiency than other mower which adapted random algorithm and much intelligent.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123686034","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520258
Li Ning, Rong Zhou, Yong Zhang, D. Yu, Francis C. M. Lau
Existing collision avoidance approaches for multiagent navigation often cause excessive detouring as a side effect. In this work, we propose an approach that navigates the agents with much less deviation from the ideal route, while efficiently avoiding potential collisions.
{"title":"Taking Less Detour when Avoiding the Collisions","authors":"Li Ning, Rong Zhou, Yong Zhang, D. Yu, Francis C. M. Lau","doi":"10.1109/ICSSE.2018.8520258","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520258","url":null,"abstract":"Existing collision avoidance approaches for multiagent navigation often cause excessive detouring as a side effect. In this work, we propose an approach that navigates the agents with much less deviation from the ideal route, while efficiently avoiding potential collisions.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122488823","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520125
Shang-Wei Lin, Kuo-Yi Chen
In order to reach the goal of colorful 3D printing, a color gradient 3D printer is proposed in this paper, Users could choose the printed mode such as assigned specified color, random color, random of layer gradually and specified of layer gradually before creating objects by a FDM 3D printer. With the use of mobile device to send color setting data to the proposed devices which is designed for color change mechanism through Wi-Fie With receiving color and model information, the 3D printer's step motors could squeeze the assigned color to mix therefore, the proposed 3D printer could create the object with the color setting by users. In terms of color mixture, we specially designed a nozzle with three inputs and one output to make desired color by mixing CMY in the nozzle. The CMY filament mixed proportion is assigned from the calculated data output by the MCU. By using this calculated data to control step motor's action, and create the color chosen by the user in the app. Then we can print models with multiple colors that the users desire.
{"title":"The Design and Implementation of a Color Gradient 3D Printer with Multiple PLA Fusion","authors":"Shang-Wei Lin, Kuo-Yi Chen","doi":"10.1109/ICSSE.2018.8520125","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520125","url":null,"abstract":"In order to reach the goal of colorful 3D printing, a color gradient 3D printer is proposed in this paper, Users could choose the printed mode such as assigned specified color, random color, random of layer gradually and specified of layer gradually before creating objects by a FDM 3D printer. With the use of mobile device to send color setting data to the proposed devices which is designed for color change mechanism through Wi-Fie With receiving color and model information, the 3D printer's step motors could squeeze the assigned color to mix therefore, the proposed 3D printer could create the object with the color setting by users. In terms of color mixture, we specially designed a nozzle with three inputs and one output to make desired color by mixing CMY in the nozzle. The CMY filament mixed proportion is assigned from the calculated data output by the MCU. By using this calculated data to control step motor's action, and create the color chosen by the user in the app. Then we can print models with multiple colors that the users desire.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127681929","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 : 2018-06-01DOI: 10.1109/ICSSE.2018.8520024
Chun Liu, Johnson Wong, Anisiia Doytchinova, Peng-Sheng Chen, Shien‐Fong Lin
Sympathetic nerve activity is an important trigger of cardiac arrhythmia. Our laboratory recently developed a new method for non-invasive recording of the skin sympathetic nerve activity (SKNA) using conventional electrocardiography (ECG) patch electrodes. Recent studies showed that SKNA can adequately estimate sympathetic tone in humans. In order to improve the analysis of SKNA, we developed automatic standard assessment system based on the concept of microneurography and applied to non-invasive SKNA recording via 4 steps of signal processing. Every parameters in procedures can be manually selected by users in order to meet requirements. After using these signal processing, the results obtained by this system show improved nerve burst morphology and trend. Intuitive nerve discharge pattern and occurrence frequency can be automatically generated. Verification of the method with the cold water pressor test data further established the reliability and usefulness of the system. This new method offered a convenient tool to evaluate SKNA for comprehensive and detailed application in neurocardiology. The analysis system may facilitate the study between SKNA and cardiac arrhythmia, thus advance the field of neurocardiology research.
{"title":"Method for Detection and Quantification of Non-Invasive Skin Sympathetic Nerve Activity","authors":"Chun Liu, Johnson Wong, Anisiia Doytchinova, Peng-Sheng Chen, Shien‐Fong Lin","doi":"10.1109/ICSSE.2018.8520024","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520024","url":null,"abstract":"Sympathetic nerve activity is an important trigger of cardiac arrhythmia. Our laboratory recently developed a new method for non-invasive recording of the skin sympathetic nerve activity (SKNA) using conventional electrocardiography (ECG) patch electrodes. Recent studies showed that SKNA can adequately estimate sympathetic tone in humans. In order to improve the analysis of SKNA, we developed automatic standard assessment system based on the concept of microneurography and applied to non-invasive SKNA recording via 4 steps of signal processing. Every parameters in procedures can be manually selected by users in order to meet requirements. After using these signal processing, the results obtained by this system show improved nerve burst morphology and trend. Intuitive nerve discharge pattern and occurrence frequency can be automatically generated. Verification of the method with the cold water pressor test data further established the reliability and usefulness of the system. This new method offered a convenient tool to evaluate SKNA for comprehensive and detailed application in neurocardiology. The analysis system may facilitate the study between SKNA and cardiac arrhythmia, thus advance the field of neurocardiology research.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115740905","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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