Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749525
O. S. Ajigboye, K. Danas
Sensors, actuators and event sensors are the major types of transducers recognized by the IEEE 21451 standards for Smart Transducers. These contain information embedded in the Transducer Electronic Data Sheets (TEDS) that help describe the transducer and identify it in a network. Advancement in sensor and information technologies has led to various designs and development in wearable medical devices e.g. wireless Electrocardiogram (ECG) monitoring devices used to measure heart physiological parameters for diagnosis and monitoring of patients' health remotely. Most wearables were designed and proposed on IEEE 11073 standards, while, advances in implementation and application of smart transducers are based on ISO/IEC/IEEE 21451 standards. Therefore, seamless integration and interoperability between sensing technology in wearable and Health Information Systems (HIS) requires attention on the interoperability opportunities at the semantic level. The proposed ontology was implemented using Protege, SPARQL was used to evaluate it, and the performance analysis shows the greater description of the transducers with improve rate of recall and enhance interoperability at the semantic level.
{"title":"Towards semantics in wearable sensors: The role of transducers electronic data sheets (TEDS) ontology in sensor networks","authors":"O. S. Ajigboye, K. Danas","doi":"10.1109/HealthCom.2016.7749525","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749525","url":null,"abstract":"Sensors, actuators and event sensors are the major types of transducers recognized by the IEEE 21451 standards for Smart Transducers. These contain information embedded in the Transducer Electronic Data Sheets (TEDS) that help describe the transducer and identify it in a network. Advancement in sensor and information technologies has led to various designs and development in wearable medical devices e.g. wireless Electrocardiogram (ECG) monitoring devices used to measure heart physiological parameters for diagnosis and monitoring of patients' health remotely. Most wearables were designed and proposed on IEEE 11073 standards, while, advances in implementation and application of smart transducers are based on ISO/IEC/IEEE 21451 standards. Therefore, seamless integration and interoperability between sensing technology in wearable and Health Information Systems (HIS) requires attention on the interoperability opportunities at the semantic level. The proposed ontology was implemented using Protege, SPARQL was used to evaluate it, and the performance analysis shows the greater description of the transducers with improve rate of recall and enhance interoperability at the semantic level.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127401867","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 : 2016-09-01DOI: 10.1109/HEALTHCOM.2016.7749513
A. Religi, L. Moccozet, D. Vernez, A. Milon, C. Backes, J. Bulliard, L. Vuilleumier
Excessive exposure to solar ultraviolet (UV) radiation is the main cause of skin cancer. The dose-response between UV exposure and skin cancer occurrence is not yet fully understood since UV exposure is highly heterogeneous and strongly influenced by host and behavioural factors, such as posture, orientation to the sun, skin complexion and clothing. To address this issue, a three-dimensional (3D) numeric model (SimUVEx) has been developed to assess dose and distribution of anatomical UV exposure. The model uses 3D computer graphics techniques to compute UV radiance on the basis of postural information and ambient irradiation data, without necessitating time-consuming individual dosimetry, ensuring a wide potential use in skin cancer prevention and research. With the purpose to improve simulation capabilities in order to obtain more realistic scenarios and quantify effective sun protection strategies, a new version has been released, SimUVEX v2. Among new features, a specific morphology for the most sun-exposed body area, the head, has been added. We selected three different styles of hat (cap, wide-brimmed hat and helmet) to compare scenarios with and without solar protections considering the relative contribution of the direct, diffuse and reflected radiation. It was found that, sites directly covered apart (e.g., forehead and top of the head), hats with a wide brim are necessary in order to provide reasonable protections around facial zones on which non-melanoma skin cancers commonly occur, such as nose and cheeks.
{"title":"Prediction of anatomical exposure to solar UV: A case study for the head using SimUVEx v2","authors":"A. Religi, L. Moccozet, D. Vernez, A. Milon, C. Backes, J. Bulliard, L. Vuilleumier","doi":"10.1109/HEALTHCOM.2016.7749513","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2016.7749513","url":null,"abstract":"Excessive exposure to solar ultraviolet (UV) radiation is the main cause of skin cancer. The dose-response between UV exposure and skin cancer occurrence is not yet fully understood since UV exposure is highly heterogeneous and strongly influenced by host and behavioural factors, such as posture, orientation to the sun, skin complexion and clothing. To address this issue, a three-dimensional (3D) numeric model (SimUVEx) has been developed to assess dose and distribution of anatomical UV exposure. The model uses 3D computer graphics techniques to compute UV radiance on the basis of postural information and ambient irradiation data, without necessitating time-consuming individual dosimetry, ensuring a wide potential use in skin cancer prevention and research. With the purpose to improve simulation capabilities in order to obtain more realistic scenarios and quantify effective sun protection strategies, a new version has been released, SimUVEX v2. Among new features, a specific morphology for the most sun-exposed body area, the head, has been added. We selected three different styles of hat (cap, wide-brimmed hat and helmet) to compare scenarios with and without solar protections considering the relative contribution of the direct, diffuse and reflected radiation. It was found that, sites directly covered apart (e.g., forehead and top of the head), hats with a wide brim are necessary in order to provide reasonable protections around facial zones on which non-melanoma skin cancers commonly occur, such as nose and cheeks.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132572528","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749458
Wenda Li, Bo Tan, R. Piechocki, I. Craddock
Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.
{"title":"Opportunistic physical activity monitoring via passive WiFi radar","authors":"Wenda Li, Bo Tan, R. Piechocki, I. Craddock","doi":"10.1109/HealthCom.2016.7749458","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749458","url":null,"abstract":"Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128186063","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749488
Kabalan Chaccour, Hiba Al Assaad, A. Hassani, R. Darazi, Emmanuel Andres
As people age, they become more fragile and exhibit difficulties in maintaining their gait and balance. Their state of fragility increases their vulnerability to fall incidents. Various analysis methods were developed to detect the abnormality of human gait and balance, and estimate the risk of falling. In this paper, we present a method to estimate the falling risk and alert the patient when a fall is about to happen. The proposed method consists in monitoring and analyzing the amount of sway of the center of mass in the medial-lateral plane by computing the center of pressure displacement at the foot plantar surface. Our proposed method uses the spatio-temporal sliding window processing to generate fall alarms and estimate the falling risk. The method was validated via a two-phase experimental protocol with five young adults who performed a walk of 20 stances with simulated sways using an instrumented shoe with resistive pressure sensors. The threshold of the normal walk THN and the risk level RL of the altered walk are determined as well as the risk of falling. The method can be applied in real-life and clinical settings with real-time processing.
{"title":"Sway analysis and fall prediction method based on spatio-temporal sliding window technique","authors":"Kabalan Chaccour, Hiba Al Assaad, A. Hassani, R. Darazi, Emmanuel Andres","doi":"10.1109/HealthCom.2016.7749488","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749488","url":null,"abstract":"As people age, they become more fragile and exhibit difficulties in maintaining their gait and balance. Their state of fragility increases their vulnerability to fall incidents. Various analysis methods were developed to detect the abnormality of human gait and balance, and estimate the risk of falling. In this paper, we present a method to estimate the falling risk and alert the patient when a fall is about to happen. The proposed method consists in monitoring and analyzing the amount of sway of the center of mass in the medial-lateral plane by computing the center of pressure displacement at the foot plantar surface. Our proposed method uses the spatio-temporal sliding window processing to generate fall alarms and estimate the falling risk. The method was validated via a two-phase experimental protocol with five young adults who performed a walk of 20 stances with simulated sways using an instrumented shoe with resistive pressure sensors. The threshold of the normal walk THN and the risk level RL of the altered walk are determined as well as the risk of falling. The method can be applied in real-life and clinical settings with real-time processing.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116870074","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749446
Md Osman Gani, G. Ahsan, Duc Do, Drew Williams, M. Balfas, Sheikh Iqbal Ahamed, Muhammad Arif, A. Kattan
Every year millions of people gather at Makkah, Saudi Arabia during the Hajj, an annual Islamic pilgrimage. The area at Makkah is small, and the number of attendees increases each year, which has created an ongoing and ever increasing problem of crowd management. In this paper, we present our integrated solution to the localization challenge of tracking specific users in a highly crowded area where GPS signal may be weak or even unavailable. Smartphone based Human Activity Recognition (HAR) uses various sensors that are built into the smartphone to sense a person's activity in real time. Applications that incorporate HAR can be used to track a person's movements and are very useful in areas such as health care. We also propose a group-tracking mechanism that can be applied when a group member appears to get lost. Other members of the group will be immediately notified and receive an estimation of the lost member's location. Using wireless signals (RSSI) and inertial sensor data, we have developed a mathematical model and a system for both outdoor and indoor localization. The experimental results show that the proposed system is able to detect locations of users with high accuracy, with an error of less than 2.5 meters. The system will be used by millions of users in Makkah, where there have been thousands of reported cases of pilgrims getting lost during the Hajj, however, it is scalable to accommodate any other crowded population.
{"title":"An approach to localization in crowded area","authors":"Md Osman Gani, G. Ahsan, Duc Do, Drew Williams, M. Balfas, Sheikh Iqbal Ahamed, Muhammad Arif, A. Kattan","doi":"10.1109/HealthCom.2016.7749446","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749446","url":null,"abstract":"Every year millions of people gather at Makkah, Saudi Arabia during the Hajj, an annual Islamic pilgrimage. The area at Makkah is small, and the number of attendees increases each year, which has created an ongoing and ever increasing problem of crowd management. In this paper, we present our integrated solution to the localization challenge of tracking specific users in a highly crowded area where GPS signal may be weak or even unavailable. Smartphone based Human Activity Recognition (HAR) uses various sensors that are built into the smartphone to sense a person's activity in real time. Applications that incorporate HAR can be used to track a person's movements and are very useful in areas such as health care. We also propose a group-tracking mechanism that can be applied when a group member appears to get lost. Other members of the group will be immediately notified and receive an estimation of the lost member's location. Using wireless signals (RSSI) and inertial sensor data, we have developed a mathematical model and a system for both outdoor and indoor localization. The experimental results show that the proposed system is able to detect locations of users with high accuracy, with an error of less than 2.5 meters. The system will be used by millions of users in Makkah, where there have been thousands of reported cases of pilgrims getting lost during the Hajj, however, it is scalable to accommodate any other crowded population.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114174422","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749467
N. Noury, M. Berenguer, M. Bouzid, Jean-Baptiste Versini
To follow up the daily activities of elderly populations living independently in their home, is of central importance because the level and variety of activities performed reflect the correct functioning of their homeostasis, thus their health and well being. But the workers, in charge on the field for the remote follow up, need a ready to use and easy to interpret composite information. Our work aims at producing and evaluating this unique index, built from data fusion of heterogeneous information, such as the electrical activities on the power line.
{"title":"Building a spatial-temporal index to detect the global pattern deviations in daily activities of elderly subjects","authors":"N. Noury, M. Berenguer, M. Bouzid, Jean-Baptiste Versini","doi":"10.1109/HealthCom.2016.7749467","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749467","url":null,"abstract":"To follow up the daily activities of elderly populations living independently in their home, is of central importance because the level and variety of activities performed reflect the correct functioning of their homeostasis, thus their health and well being. But the workers, in charge on the field for the remote follow up, need a ready to use and easy to interpret composite information. Our work aims at producing and evaluating this unique index, built from data fusion of heterogeneous information, such as the electrical activities on the power line.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125461760","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749453
Xiao Xu, Tao Jin, Jianmin Wang
Clinical Pathway is ubiquitous and plays an essential role in clinical workflow management. The combination of topic modeling and process mining is an efficient approach to get a non-static and topic-based process model. Topic modeling is used to group the activities of each clinical day into the latent topics, and process mining is used to generate a concise workflow model based on these topics. However, because of the specificity of clinical data, it usually suffers from the performance of topic modeling. In this paper, we take an important clinical practice, all the same activities in one clinical day tend to represent the same clinical goal, into account to enhance the effectiveness of topic modeling. The experiments on real data show significant performance gains of our approach.
{"title":"Summarizing patient daily activities for clinical pathway mining","authors":"Xiao Xu, Tao Jin, Jianmin Wang","doi":"10.1109/HealthCom.2016.7749453","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749453","url":null,"abstract":"Clinical Pathway is ubiquitous and plays an essential role in clinical workflow management. The combination of topic modeling and process mining is an efficient approach to get a non-static and topic-based process model. Topic modeling is used to group the activities of each clinical day into the latent topics, and process mining is used to generate a concise workflow model based on these topics. However, because of the specificity of clinical data, it usually suffers from the performance of topic modeling. In this paper, we take an important clinical practice, all the same activities in one clinical day tend to represent the same clinical goal, into account to enhance the effectiveness of topic modeling. The experiments on real data show significant performance gains of our approach.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121637538","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749474
Hamzah Osop, T. Sahama
Effective decision-making plays an important role in promoting optimal care delivery. Factors such as availability of data, timely access to data and organised information greatly influences the quality of decision-making as illustrated in a causal loop diagram. The contribution of practice-based evidence thus aims at structuring an approach where healthcare professionals can be consistently assisted in making effective decisions during routine primary care. Through a practice-based evidence e-health scenario and a data-flow diagram of clinical systems in a public hospital from Singapore, we have identified the importance of leveraging electronic health records as ideal resources in the pursuit of improving healthcare decision-making.
{"title":"Electronic health records: Improvement to healthcare decision-making","authors":"Hamzah Osop, T. Sahama","doi":"10.1109/HealthCom.2016.7749474","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749474","url":null,"abstract":"Effective decision-making plays an important role in promoting optimal care delivery. Factors such as availability of data, timely access to data and organised information greatly influences the quality of decision-making as illustrated in a causal loop diagram. The contribution of practice-based evidence thus aims at structuring an approach where healthcare professionals can be consistently assisted in making effective decisions during routine primary care. Through a practice-based evidence e-health scenario and a data-flow diagram of clinical systems in a public hospital from Singapore, we have identified the importance of leveraging electronic health records as ideal resources in the pursuit of improving healthcare decision-making.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123791312","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749528
Yonghee Ahn, D. Jayalath, A. Oloyede
The demand for assistive living technologies is rising rapidly due to the increasing ageing population around the world. Advancements in wearable device technologies have paved the way to patient-centred ubiquitous health monitoring at home. Despite the increasing availability of continuous patient monitoring by integrating various sensors and Body area networks (BAN), little work has focused on automated intervention at multiple levels. On the other hand, certain personal medical treatment devices such as insulin injectors and pneumatic compression therapy devices provide treatment without overall personal health monitoring. In this research, we propose a framework to enable continuous monitoring and control of a personal treatment device seamlessly. Proposed framework assimilates inertial sensor-based activity recognition, intelligent control algorithms, and BAN in a modularised hardware architecture. Consequently, the proposed system can monitor activities of daily living and provide automated intentions. The modularised hardware architecture facilitates the use of single sensing and controller platform for multiple treatment devices. We validate the proposed framework by implementing and testing a prototype automated compression therapy device.
{"title":"A framework for modularised wearable adaptive biofeedback devices","authors":"Yonghee Ahn, D. Jayalath, A. Oloyede","doi":"10.1109/HealthCom.2016.7749528","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749528","url":null,"abstract":"The demand for assistive living technologies is rising rapidly due to the increasing ageing population around the world. Advancements in wearable device technologies have paved the way to patient-centred ubiquitous health monitoring at home. Despite the increasing availability of continuous patient monitoring by integrating various sensors and Body area networks (BAN), little work has focused on automated intervention at multiple levels. On the other hand, certain personal medical treatment devices such as insulin injectors and pneumatic compression therapy devices provide treatment without overall personal health monitoring. In this research, we propose a framework to enable continuous monitoring and control of a personal treatment device seamlessly. Proposed framework assimilates inertial sensor-based activity recognition, intelligent control algorithms, and BAN in a modularised hardware architecture. Consequently, the proposed system can monitor activities of daily living and provide automated intentions. The modularised hardware architecture facilitates the use of single sensing and controller platform for multiple treatment devices. We validate the proposed framework by implementing and testing a prototype automated compression therapy device.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130340899","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749534
V. Bumgardner, V. Marek, Caylin D. Hickey, K. Nandakumar
The Constellation framework is designed for process automation, secure workload distribution, and performance optimization for genomic processing. The goal of Constellation is to provide a flexible platform for the processing of custom ”write once run anywhere” genomic pipelines, across a range of computational resources and environments, through the agent-based management of genomic processing containers. An implementation of the Constellation framework is currently in use at the University of Kentucky Medical Center for clinical diagnostic and research genomic processing.
星座框架是为基因组处理的过程自动化、安全工作负载分配和性能优化而设计的。Constellation的目标是通过基于代理的基因组处理容器管理，为处理定制的“一次写入，随处运行”的基因组管道提供一个灵活的平台，跨越一系列计算资源和环境。目前，肯塔基大学医学中心(University of Kentucky Medical Center)正在使用Constellation框架的一个实施方案，用于临床诊断和基因组处理研究。
{"title":"Constellation: A secure self-optimizing framework for genomic processing","authors":"V. Bumgardner, V. Marek, Caylin D. Hickey, K. Nandakumar","doi":"10.1109/HealthCom.2016.7749534","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749534","url":null,"abstract":"The Constellation framework is designed for process automation, secure workload distribution, and performance optimization for genomic processing. The goal of Constellation is to provide a flexible platform for the processing of custom ”write once run anywhere” genomic pipelines, across a range of computational resources and environments, through the agent-based management of genomic processing containers. An implementation of the Constellation framework is currently in use at the University of Kentucky Medical Center for clinical diagnostic and research genomic processing.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114491925","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：