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.2016.7749455
Hongguang Zhang, Kai Liu, Weijian Kong, Fei Tian, Youren Yang, Chu Feng, Ti Wang, Qi Chen
This paper presents a mobile solution for the management of chronic diseases, i.e. hypertension and diabetes. This solution facilitates the exchange of health information between patients and pharmacists, supports wellness decision making, and assists behavioral interventions for enhanced self-management and healthcare delivery. Since the beginning of 2015, we have deployed the Software as a Service (SaaS) solution in 3,000 drug stores around China. The one-year trial demonstrated significant improvements in the real-world evidence outcome.
{"title":"A mobile health solution for chronic disease management at retail pharmacy","authors":"Hongguang Zhang, Kai Liu, Weijian Kong, Fei Tian, Youren Yang, Chu Feng, Ti Wang, Qi Chen","doi":"10.1109/HealthCom.2016.7749455","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749455","url":null,"abstract":"This paper presents a mobile solution for the management of chronic diseases, i.e. hypertension and diabetes. This solution facilitates the exchange of health information between patients and pharmacists, supports wellness decision making, and assists behavioral interventions for enhanced self-management and healthcare delivery. Since the beginning of 2015, we have deployed the Software as a Service (SaaS) solution in 3,000 drug stores around China. The one-year trial demonstrated significant improvements in the real-world evidence outcome.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"50 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":"115049619","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.2016.7749486
L. Sevrin, B. Massot, N. Noury, N. Abouchi, F. Jumel, Jacques Saraydaryan
As the world population gets older, the healthcare system must be adapted, among others by providing continuous health monitoring at home and in the city. The social activities have a significant role in everyone health status. Hence, this paper proposes a system to perform a data fusion of signals sampled on several subjects during social activities. This study implies the time synchronization of data coming from several sensors whether these are embedded on people or integrated in the environment. The data fusion is applied to several experiments including physical, cognitive and rest activities, with social aspects. The simultaneous and continuous analysis of four subjects cardiac activity and GPS coordinates provides a new way to distinguish different collaborative activities comparing the measurements between the subjects and along time.
{"title":"A data fusion system to study synchronization in social activities","authors":"L. Sevrin, B. Massot, N. Noury, N. Abouchi, F. Jumel, Jacques Saraydaryan","doi":"10.1109/HealthCom.2016.7749486","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749486","url":null,"abstract":"As the world population gets older, the healthcare system must be adapted, among others by providing continuous health monitoring at home and in the city. The social activities have a significant role in everyone health status. Hence, this paper proposes a system to perform a data fusion of signals sampled on several subjects during social activities. This study implies the time synchronization of data coming from several sensors whether these are embedded on people or integrated in the environment. The data fusion is applied to several experiments including physical, cognitive and rest activities, with social aspects. The simultaneous and continuous analysis of four subjects cardiac activity and GPS coordinates provides a new way to distinguish different collaborative activities comparing the measurements between the subjects and along time.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"89 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":"114668462","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.2016.7749496
A. Khatua, Apalak Khatua
Twitter is becoming a popular social media platform for syndromic surveillance. We explored the Twitter discussion in the context of the 2016 Zika Outbreak. The Zika virus can have severe long-term (such as microcephaly in newborns) effects and not so serious immediate (such as fever or headache) effects. We explored whether social media discussions effectively capture the severity of these long-term concerns. We performed volumetric and text mining analysis, such as the co-occurrence of words and hierarchical clustering, to explore the different underlying themes in the Twitter discussion regarding the immediate and long-term concerns. Our findings suggest that the concerns related to the long-term consequences are dominant and consistent, but this is not the case for the immediate effects.
{"title":"Immediate and long-term effects of 2016 Zika Outbreak: A Twitter-based study","authors":"A. Khatua, Apalak Khatua","doi":"10.1109/HealthCom.2016.7749496","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749496","url":null,"abstract":"Twitter is becoming a popular social media platform for syndromic surveillance. We explored the Twitter discussion in the context of the 2016 Zika Outbreak. The Zika virus can have severe long-term (such as microcephaly in newborns) effects and not so serious immediate (such as fever or headache) effects. We explored whether social media discussions effectively capture the severity of these long-term concerns. We performed volumetric and text mining analysis, such as the co-occurrence of words and hierarchical clustering, to explore the different underlying themes in the Twitter discussion regarding the immediate and long-term concerns. Our findings suggest that the concerns related to the long-term consequences are dominant and consistent, but this is not the case for the immediate effects.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"43 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":"123736359","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.2016.7749532
Stefanus A. Wirdatmadja, S. Balasubramaniam, Y. Koucheryavy, J. Jornet
In recent years, numerous research efforts have been dedicated towards developing efficient implantable devices for Deep Brain Stimulation (DBS). However, there are limitations and challenges with the current technologies. Firstly, the stimulation of neurons currently is only possible through implantable electrodes which target a population of neurons. This results in challenges in the event that stimulation at the single neuron level is required. Secondly, a major hurdle still lies in developing miniature devices that can last for a lifetime in the patient's brain. Recently, the concept of neural dust has been introduced as a way to achieve single neuron monitoring and potentially actuation. In parallel to this, the field of optogenetics has emerged where the aim is to stimulate neurons using light, usually by means of optical fibers inserted through the skull. Obviously, this introduces many challenges in terms of user friendliness and biocompatibility. We address this shortcoming by proposing the wireless optogenetic neural dust (wi-opt neural dust). The wiopt neural dust is equipped with a miniature LED that is able to stimulate the genetically engineered neurons, and at the same time harvest energy from ultrasonic vibrations. The simulation results presented in the paper investigates the behaviour of the light propagation in the brain tissue, as well as the performance of designed circuitry for the energy harvesting process. The results demonstrates the feasibility of utilizing wi-opt neural dust for long term implantation in the brain, and a new direction towards precise stimulation of neurons in the cortex.
{"title":"Wireless optogenetic neural dust for deep brain stimulation","authors":"Stefanus A. Wirdatmadja, S. Balasubramaniam, Y. Koucheryavy, J. Jornet","doi":"10.1109/HealthCom.2016.7749532","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749532","url":null,"abstract":"In recent years, numerous research efforts have been dedicated towards developing efficient implantable devices for Deep Brain Stimulation (DBS). However, there are limitations and challenges with the current technologies. Firstly, the stimulation of neurons currently is only possible through implantable electrodes which target a population of neurons. This results in challenges in the event that stimulation at the single neuron level is required. Secondly, a major hurdle still lies in developing miniature devices that can last for a lifetime in the patient's brain. Recently, the concept of neural dust has been introduced as a way to achieve single neuron monitoring and potentially actuation. In parallel to this, the field of optogenetics has emerged where the aim is to stimulate neurons using light, usually by means of optical fibers inserted through the skull. Obviously, this introduces many challenges in terms of user friendliness and biocompatibility. We address this shortcoming by proposing the wireless optogenetic neural dust (wi-opt neural dust). The wiopt neural dust is equipped with a miniature LED that is able to stimulate the genetically engineered neurons, and at the same time harvest energy from ultrasonic vibrations. The simulation results presented in the paper investigates the behaviour of the light propagation in the brain tissue, as well as the performance of designed circuitry for the energy harvesting process. The results demonstrates the feasibility of utilizing wi-opt neural dust for long term implantation in the brain, and a new direction towards precise stimulation of neurons in the cortex.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"19 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":"128704262","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.2016.7749421
Erik Schreiber, S. Franke, R. Bieck, T. Neumuth
With each newly developed surgical assistance functionality, more information is available but also required in the operating room (OR). To prevent an information overload and support the surgical workflow, we propose a concept for a prioritized and consistent presentation of surgical information. We identify necessary tasks and requirements to present the right information, to the right time, at the right place and in the right form. For this, rule-based methods to prioritize information in respect to its relevance to the current OR situation and to orchestrate information consistently on a set of OR monitors are designed. Subsequently advantages and disadvantages of the proposed approach are discussed and next required steps for an implementation elucidated.
{"title":"A concept for consistent and prioritized presentation of surgical information","authors":"Erik Schreiber, S. Franke, R. Bieck, T. Neumuth","doi":"10.1109/HealthCom.2016.7749421","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749421","url":null,"abstract":"With each newly developed surgical assistance functionality, more information is available but also required in the operating room (OR). To prevent an information overload and support the surgical workflow, we propose a concept for a prioritized and consistent presentation of surgical information. We identify necessary tasks and requirements to present the right information, to the right time, at the right place and in the right form. For this, rule-based methods to prioritize information in respect to its relevance to the current OR situation and to orchestrate information consistently on a set of OR monitors are designed. Subsequently advantages and disadvantages of the proposed approach are discussed and next required steps for an implementation elucidated.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"4 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":"131142438","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.2016.7749481
K. J. Francis, P. Mishra, P. Rajalakshmi, Sumohana S. Channappayya, A. Richhariya
Accurate model-based methods in Photo-Acoustic Tomography (PAT) can reconstruct the image from insufficient and inaccurate measurements. Most of the models either make the simplified assumption of spherical averaging or use accurate models that have computationally burdensome implementations. We present a simple and accurate measurement matrix that is derived from the pseudo-spectral PAT model. The accuracy of the measurement matrix is first validated against the experimental PAT signal. We also compare the model against the standard k-wave measurement model and the spherical averaging model. We then highlight several reconstruction strategies based on the nature of the region of interest to further demonstrate the accuracy of the proposed measurement matrix.
{"title":"A simple and accurate matrix for model based photoacoustic imaging","authors":"K. J. Francis, P. Mishra, P. Rajalakshmi, Sumohana S. Channappayya, A. Richhariya","doi":"10.1109/HealthCom.2016.7749481","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749481","url":null,"abstract":"Accurate model-based methods in Photo-Acoustic Tomography (PAT) can reconstruct the image from insufficient and inaccurate measurements. Most of the models either make the simplified assumption of spherical averaging or use accurate models that have computationally burdensome implementations. We present a simple and accurate measurement matrix that is derived from the pseudo-spectral PAT model. The accuracy of the measurement matrix is first validated against the experimental PAT signal. We also compare the model against the standard k-wave measurement model and the spherical averaging model. We then highlight several reconstruction strategies based on the nature of the region of interest to further demonstrate the accuracy of the proposed measurement matrix.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"73 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":"127254655","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.2016.7749460
Christoph Thuemmler, A. Paulin, Ai Keow Lim
This paper summarizes the determinants for future e-Health network and IT infrastructures in the health care environment. The paper bases on observations conducted as part of a larger study at a university hospital in Munich, and summarizes ongoing discussions, key determinants from relevant whire papers, and challenges of the domain. The objective of the paper is to provide a broad overview over the implications of the e-Health domain to provide inputs in ongoing discussion on 5G characteristics.
{"title":"Determinants of next generation e-Health network and architecture specifications","authors":"Christoph Thuemmler, A. Paulin, Ai Keow Lim","doi":"10.1109/HealthCom.2016.7749460","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749460","url":null,"abstract":"This paper summarizes the determinants for future e-Health network and IT infrastructures in the health care environment. The paper bases on observations conducted as part of a larger study at a university hospital in Munich, and summarizes ongoing discussions, key determinants from relevant whire papers, and challenges of the domain. The objective of the paper is to provide a broad overview over the implications of the e-Health domain to provide inputs in ongoing discussion on 5G characteristics.","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":"127320883","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.2016.7749525
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}
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