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Youbing Zhao

University of Bedfordshire, Computer Science and Technology, Post-Doc

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Address: Luton, United Kingdom

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School of the Art Institute of Chicago

Duke University

Marta Diaz-Guardamino

Durham University

Bulgarian Academy of Sciences

Sebastian Heath

New York University

University of Otago

Geert J Verhoeven

University of Vienna

Qusay F. Hassan

Oxford Brookes University

Despoina Tsiafakis

Research and Innovation Centre “Athena”

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Papers by Youbing Zhao

Hardware Accelerated Medical Data Visualisation on the Web

This paper proposes a way to develop high-quality real-time web-based medical 3D data visualisati... more This paper proposes a way to develop high-quality real-time web-based medical 3D data visualisation. Isosurface extraction is used as an example to discuss how to use programmable Graphics Processing Units (GPUs) and shaders to improve rendering performance on the web. The method is designed to reduce data transmission. When data is ready, the performance penalty can be considered negligible. A method to estimate memory usage to balance client memory limitation and rendering quality is also described. A way of using the frame rate to measure performance on the web is suggested, which could be used in future web visualisation.

Navigating Health Literacy Using Interactive Data Visualisation

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), 2016

It is commonly concluded that health literacy focuses on individual skills to obtain, process and... more It is commonly concluded that health literacy focuses on individual skills to obtain, process and understand health information and services necessary to make appropriate health decisions. To achieve this, an individual first needs to obtain an adequate level of health literacy. However, nowadays, the information that individuals encounter with regards to their health, the amount, credibility and quality of the data make it difficult for one to make judgments on their health and disease progression, let alone make informed decisions on behaviour change. In this paper, we will report our work in providing patients with efficient ways to explore and understand the relevant health literacy. We focus on two data types: 1) harvested medical evidence from PubMed on cardiorenal disease and its comorbidities, 2) data collected from patients including from PHR and wearable sensors. Our work provides ways for patients to visualise this data meaningfully. Our work aims to improve the health li...

Topic-Aware Visual Citation Tracing via Enhanced Term Weighting for Efficient Literature Retrieval

Efficient retrieval of scientific literature related to a certain topic plays a key role in resea... more Efficient retrieval of scientific literature related to a certain topic plays a key role in research work. While little has been done on topic-enabled citation filtering in traditional citation tracing, this paper presents visual citation tracing of scientific papers with document topics taken into consideration. Improved term selection and weighting are employed for mining the most relevant citations. A variation of the TF-IDF scheme, which uses external domain resources as references is proposed to calculate the term weighting in a particular domain. Moreover document weight is also incorporated in the calculation of term weight from a group of citations. A simple hierarchical word weighting method is also presented to handle keyword phrases. A visual interface is designed and implemented to interactively present the citation tracks in chord diagram and Sankey diagram.

Visualisation and simulated surgery of the left ventricle in VPH2

WebGL-based interactive rendering of whole body anatomy for web-oriented visualisation of avatar-centered digital health data

13th IEEE International Conference on BioInformatics and BioEngineering, 2013

ABSTRACT The visualisation of whole-body anatomy has a variety of applications in health-related ... more ABSTRACT The visualisation of whole-body anatomy has a variety of applications in health-related analysis and simulation. However, the rendering of complex 3D human anatomy models is generally performed by standalone applications rather than via a web interface, as rendering large 3D models has always been a weak spot of traditional web browsers. Consequently, online access to, and exploration of, the human anatomy in 3D has not been feasible in the past. With the advent of WebGL and HTML5, high performance OpenGL rendering seamlessly integrated with the web interface is now within reach, and this opens the possibility of visualising avatar-centered health data via a web interface. In this paper, a WebGL-based prototype for rendering whole-body anatomy is introduced, and the technical details are presented.

Efficient Non-fused Winograd on GPUs

Advances in Computer Graphics, 2020

This paper presents an optimized implementation for Winograd non-fused convolution. Our optimizat... more This paper presents an optimized implementation for Winograd non-fused convolution. Our optimizations comprise application-independent grouped producer-consumer chains and a set of Winograd-specific software techniques, including specialized interface-kernels data format which enhances memory access efficiency; warp specialization and double buffer prefetching which effectively exploit computational resources and memory bandwidth; utilizing “shuffle” instruction which conserves hardware resources. The paper also provides supplementary explanation of Winograds’ tile extraction, which saves memory and computing resources.

Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection

The Visual Computer, 2019

Scientific researchers are facing a rapidly growing volume of literatures nowadays. While these p... more Scientific researchers are facing a rapidly growing volume of literatures nowadays. While these publications offer rich and valuable information, the scale of the datasets makes it difficult for the researchers to manage and search for desired information efficiently. Literature Explorer is a new interactive visual analytics suite that facilitates the access to desired scientific literatures through mining and interactive visualisation. We propose a novel topic mining method that is able to uncover "thematic topics" from a scientific corpus. These thematic topics have an explicit semantic association to the research themes that are commonly used by human researchers in scientific fields, and hence are human interpretable. They also contribute to effective document retrieval. The visual analytics suite consists of a set of visual components that are closely coupled with the underlying thematic topic detection to support interactive document retrieval. The visual components are adequately integrated under the design rationale and goals. Evaluation results are given in both objective measurements and subjective terms through expert assessments. Comparisons are also made against the outcomes from the traditional topic modelling methods.

Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

Journal of Biomedical Informatics, 2018

Due to importantly beneficial effects on physical and mental health and strong association with m... more Due to importantly beneficial effects on physical and mental health and strong association with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) have been considered as a key paradigm for smart healthcare. Traditional methods for PARM focus on controlled environments with the aim of increasing the types of identifiable activity subjects complete and improving recognition accuracy and system robustness by means of novel body-worn sensors or advanced learning algorithms. The emergence of the Internet of Things (IoT) enabling technology is transferring PARM studies to open and connected uncontrolled environments by connecting heterogeneous cost-effective wearable devices and mobile apps. Little is currently known about whether traditional PARM technologies can tackle the new challenges of IoT environments and how to effectively harness and improve these technologies. In an effort to understand the use of IoT technologies in PARM studies, this paper will give a systematic review, critically examining PARM studies from a typical IoT layer-based perspective. It will firstly summarize the state-of-the-art in traditional PARM methodologies as used in the healthcare domain, including sensory, feature extraction and recognition techniques. The paper goes on to identify some new research trends and challenges of PARM studies in the IoT environments, and discusses some key enabling techniques for tackling them. Finally, this paper consider some of the successful case studies in the area and look at the possible future industrial applications of PARM in smart healthcare.

Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment

Journal of Visualization, 2016

Patient empowerment delivers health and social care services to enable people to take more contro... more Patient empowerment delivers health and social care services to enable people to take more control of their health care needs. With the advance of sensor technologies, it is increasingly possible to monitor people's health with dedicated wearable sensors. The consistent measurements from a variety of wearable sensors implies that a huge amount of data may be exploited to monitor and predict people's health with proven models. In the process of health data representation and analysis, visualization can be used to promote data analysis and knowledge discovery via mature visual paradigms with well-designed user interactions. In this paper we introduce the role of visualisation for individualized health monitoring and risk management in the background of the European Commission funded project which aims to provide self-management of cardiorenal diseases with the assistance of wearable sensors. The visualisation

Life-Logging Data Aggregation Solution for Interdisciplinary Healthcare Research and Collaboration

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

Recently, the popular use of wearable monitoring devices and mobile apps makes the effectively ca... more Recently, the popular use of wearable monitoring devices and mobile apps makes the effectively capture of life logging personal health data come true. The effective collection of these data in long term is beneficial to interdisciplinary healthcare research and collaboration between citizens (patients), clinicians and researchers. However, most of wearable devices and mobile apps available on market focus on a specific aspect of personal fitness and lack of the compatibility or extensibility of each other. From literatures, no platforms are reported to have successfully aggregated the heterogeneous data from different resources. This paper explores the possibility of collecting and aggregating life logging data with the integration of wearable devices, mobile apps and social media for interdisciplinary healthcare research and collaboration. It reviews existing personal health data collection techniques and identifies the requirements of implementing a lifelogging data aggregator. An integrated data collection solution is designed and implemented on MyHealthAvarter (MHA) [14] platform with the integration of five well-known tools: Fitbit[4], Moves[8], Withings[7], Twitter[10] and Facebook[11]. The preliminary experiment demonstrates that the platform can successfully record, store and reuse the unified and structured personal health information in a long term, which including activities, location, exercise sleep, food, heat rate and mood. This demo receives highly positive feedbacks from interdisciplinary partners in EU VPH project MHA [14].

MyHealthAvatar and CARRE: case studies of interactive visualisation for internet‐enabled sensor‐assisted health monitoring and risk analysis

IET Networks, 2016

With the progress of wearable sensor technologies, more wearable health sensors have been made av... more With the progress of wearable sensor technologies, more wearable health sensors have been made available on the market, which enables not only people to monitor their health and lifestyle in a continuous way but also doctors to utilise them to make better diagnoses. Continuous measurement from a variety of wearable sensors implies that a huge amount of data needs to be collected, stored, processed and presented, which cannot be achieved by traditional data processing methods. Visualisation is designed to promote knowledge discovery and utilisation via mature visual paradigms with well-designed user interactions and has become indispensable in data analysis. In this paper we introduce the role of visualisation in wearable sensor-assisted health analysis platforms by case studies of two projects funded by the European Commission: MyHealthAvatar and CARRE. The former focuses on health sensor data collection and lifestyle tracking while the latter aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The roles of visualisation components including timeline, parallel coordinates, map, node-link diagrams, Sankey diagrams, etc. are introduced and discussed.

Data Mining, Management and Visualization in Large Scientific Corpuses

Lecture Notes in Computer Science, 2016

Visual Analytics for Health Monitoring and Risk Management in CARRE

Lecture Notes in Computer Science, 2016

For guidance on citations see FAQs.

MyHealthAvatar: A Case Study of Web-Based Interactive Visual Analytics of Lifestyle Data

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

Although cloud computing has made great inroads in terms of consumer adoption, we argue that the ... more Although cloud computing has made great inroads in terms of consumer adoption, we argue that the paradigm still has a long way to go to reach an economically efficient free market state. We highlight four key problems with the current cloud computing approach. These are (1) coarse granularity of service provision, (2) limited control of resources, (3) inadequate support for small providers and prosumers, and (4) vendor lockin via APIs. In this position paper, we briefly outline interesting work that may lead to a solution, in terms of moving towards a more market-based approach to cloud resource allocation.

Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar

Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", 2015

MyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's we... more MyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's wellbeing. As a lifetime companion of citizens the amount of data to be collected is large. It is almost impossible for citizens, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clock view and map. These components can be used cooperatively to achieve flexible visual analysis of spatial temporal lifestyle and health data.

Support for the Calculation of Stent Fatigue Fracture in Peripheral Arteries

TPCG, 2013

Vascular stenting is a medical intervention in which a wire mesh tube is inserted into an artery ... more Vascular stenting is a medical intervention in which a wire mesh tube is inserted into an artery or vein to provide internal support. This is a safe and common procedure, but stents are now increasingly being deployed in peripheral locations, such as the femoral artery, as part of a procedure called Peripheral Vascular Angioplasty (PVA). Stents in such locations are subject to cyclic bending, and are therefore at risk of fatigue fracture. This paper describes the work of the RT3S project, which brings together stent modelling, surgical simulation and risk calculation for surgical planning. This will allow the clinical user to interactively assess different stent models and deployment options for breakage risk. In the RT3S system, models of several commercial models of self-expanding stent are available for simulation. The placement of the stent in the vessel and the withdrawal of the catheter sheath to expand the stent are visualised. A simplex control mesh is used to guide the deformation of the stent from its compressed start configuration to its expanded final position. The fracture risk for the given model and its patient-specific final position is precomputed using the response surfaces methodology.

A user interface design for a patient oriented digital patient

13th IEEE International Conference on BioInformatics and BioEngineering, 2013

A scalable data repository for recording self-managed longitudinal health data of digital patients

13th IEEE International Conference on BioInformatics and BioEngineering, 2013

This paper presents the proof-of-concept design of the data repository for 4D digital avatars in ... more This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.

Using Web Services as Functional-Level Plug Ins for Interactive 3D Medical Visualisation

2010 14th International Conference Information Visualisation, 2010

... Conventionally, web service applications have been oriented to non-interactive data processin... more

Laplacian Musculoskeletal Deformation for Patient-Specific Simulation and Visualisation

2013 17th International Conference on Information Visualisation, 2013

ABSTRACT In many biomedical applications, it is often desired to simulate, analyse and visualise ... more ABSTRACT In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution.

Hardware Accelerated Medical Data Visualisation on the Web

This paper proposes a way to develop high-quality real-time web-based medical 3D data visualisati... more This paper proposes a way to develop high-quality real-time web-based medical 3D data visualisation. Isosurface extraction is used as an example to discuss how to use programmable Graphics Processing Units (GPUs) and shaders to improve rendering performance on the web. The method is designed to reduce data transmission. When data is ready, the performance penalty can be considered negligible. A method to estimate memory usage to balance client memory limitation and rendering quality is also described. A way of using the frame rate to measure performance on the web is suggested, which could be used in future web visualisation.

Navigating Health Literacy Using Interactive Data Visualisation

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), 2016

It is commonly concluded that health literacy focuses on individual skills to obtain, process and... more It is commonly concluded that health literacy focuses on individual skills to obtain, process and understand health information and services necessary to make appropriate health decisions. To achieve this, an individual first needs to obtain an adequate level of health literacy. However, nowadays, the information that individuals encounter with regards to their health, the amount, credibility and quality of the data make it difficult for one to make judgments on their health and disease progression, let alone make informed decisions on behaviour change. In this paper, we will report our work in providing patients with efficient ways to explore and understand the relevant health literacy. We focus on two data types: 1) harvested medical evidence from PubMed on cardiorenal disease and its comorbidities, 2) data collected from patients including from PHR and wearable sensors. Our work provides ways for patients to visualise this data meaningfully. Our work aims to improve the health li...

Topic-Aware Visual Citation Tracing via Enhanced Term Weighting for Efficient Literature Retrieval

Efficient retrieval of scientific literature related to a certain topic plays a key role in resea... more Efficient retrieval of scientific literature related to a certain topic plays a key role in research work. While little has been done on topic-enabled citation filtering in traditional citation tracing, this paper presents visual citation tracing of scientific papers with document topics taken into consideration. Improved term selection and weighting are employed for mining the most relevant citations. A variation of the TF-IDF scheme, which uses external domain resources as references is proposed to calculate the term weighting in a particular domain. Moreover document weight is also incorporated in the calculation of term weight from a group of citations. A simple hierarchical word weighting method is also presented to handle keyword phrases. A visual interface is designed and implemented to interactively present the citation tracks in chord diagram and Sankey diagram.

Visualisation and simulated surgery of the left ventricle in VPH2

WebGL-based interactive rendering of whole body anatomy for web-oriented visualisation of avatar-centered digital health data

13th IEEE International Conference on BioInformatics and BioEngineering, 2013

ABSTRACT The visualisation of whole-body anatomy has a variety of applications in health-related ... more ABSTRACT The visualisation of whole-body anatomy has a variety of applications in health-related analysis and simulation. However, the rendering of complex 3D human anatomy models is generally performed by standalone applications rather than via a web interface, as rendering large 3D models has always been a weak spot of traditional web browsers. Consequently, online access to, and exploration of, the human anatomy in 3D has not been feasible in the past. With the advent of WebGL and HTML5, high performance OpenGL rendering seamlessly integrated with the web interface is now within reach, and this opens the possibility of visualising avatar-centered health data via a web interface. In this paper, a WebGL-based prototype for rendering whole-body anatomy is introduced, and the technical details are presented.

Efficient Non-fused Winograd on GPUs

Advances in Computer Graphics, 2020

This paper presents an optimized implementation for Winograd non-fused convolution. Our optimizat... more This paper presents an optimized implementation for Winograd non-fused convolution. Our optimizations comprise application-independent grouped producer-consumer chains and a set of Winograd-specific software techniques, including specialized interface-kernels data format which enhances memory access efficiency; warp specialization and double buffer prefetching which effectively exploit computational resources and memory bandwidth; utilizing “shuffle” instruction which conserves hardware resources. The paper also provides supplementary explanation of Winograds’ tile extraction, which saves memory and computing resources.

Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection

The Visual Computer, 2019

Scientific researchers are facing a rapidly growing volume of literatures nowadays. While these p... more Scientific researchers are facing a rapidly growing volume of literatures nowadays. While these publications offer rich and valuable information, the scale of the datasets makes it difficult for the researchers to manage and search for desired information efficiently. Literature Explorer is a new interactive visual analytics suite that facilitates the access to desired scientific literatures through mining and interactive visualisation. We propose a novel topic mining method that is able to uncover "thematic topics" from a scientific corpus. These thematic topics have an explicit semantic association to the research themes that are commonly used by human researchers in scientific fields, and hence are human interpretable. They also contribute to effective document retrieval. The visual analytics suite consists of a set of visual components that are closely coupled with the underlying thematic topic detection to support interactive document retrieval. The visual components are adequately integrated under the design rationale and goals. Evaluation results are given in both objective measurements and subjective terms through expert assessments. Comparisons are also made against the outcomes from the traditional topic modelling methods.

Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

Journal of Biomedical Informatics, 2018

Due to importantly beneficial effects on physical and mental health and strong association with m... more Due to importantly beneficial effects on physical and mental health and strong association with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) have been considered as a key paradigm for smart healthcare. Traditional methods for PARM focus on controlled environments with the aim of increasing the types of identifiable activity subjects complete and improving recognition accuracy and system robustness by means of novel body-worn sensors or advanced learning algorithms. The emergence of the Internet of Things (IoT) enabling technology is transferring PARM studies to open and connected uncontrolled environments by connecting heterogeneous cost-effective wearable devices and mobile apps. Little is currently known about whether traditional PARM technologies can tackle the new challenges of IoT environments and how to effectively harness and improve these technologies. In an effort to understand the use of IoT technologies in PARM studies, this paper will give a systematic review, critically examining PARM studies from a typical IoT layer-based perspective. It will firstly summarize the state-of-the-art in traditional PARM methodologies as used in the healthcare domain, including sensory, feature extraction and recognition techniques. The paper goes on to identify some new research trends and challenges of PARM studies in the IoT environments, and discusses some key enabling techniques for tackling them. Finally, this paper consider some of the successful case studies in the area and look at the possible future industrial applications of PARM in smart healthcare.

Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment

Journal of Visualization, 2016

Patient empowerment delivers health and social care services to enable people to take more contro... more Patient empowerment delivers health and social care services to enable people to take more control of their health care needs. With the advance of sensor technologies, it is increasingly possible to monitor people's health with dedicated wearable sensors. The consistent measurements from a variety of wearable sensors implies that a huge amount of data may be exploited to monitor and predict people's health with proven models. In the process of health data representation and analysis, visualization can be used to promote data analysis and knowledge discovery via mature visual paradigms with well-designed user interactions. In this paper we introduce the role of visualisation for individualized health monitoring and risk management in the background of the European Commission funded project which aims to provide self-management of cardiorenal diseases with the assistance of wearable sensors. The visualisation

Life-Logging Data Aggregation Solution for Interdisciplinary Healthcare Research and Collaboration

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

Recently, the popular use of wearable monitoring devices and mobile apps makes the effectively ca... more Recently, the popular use of wearable monitoring devices and mobile apps makes the effectively capture of life logging personal health data come true. The effective collection of these data in long term is beneficial to interdisciplinary healthcare research and collaboration between citizens (patients), clinicians and researchers. However, most of wearable devices and mobile apps available on market focus on a specific aspect of personal fitness and lack of the compatibility or extensibility of each other. From literatures, no platforms are reported to have successfully aggregated the heterogeneous data from different resources. This paper explores the possibility of collecting and aggregating life logging data with the integration of wearable devices, mobile apps and social media for interdisciplinary healthcare research and collaboration. It reviews existing personal health data collection techniques and identifies the requirements of implementing a lifelogging data aggregator. An integrated data collection solution is designed and implemented on MyHealthAvarter (MHA) [14] platform with the integration of five well-known tools: Fitbit[4], Moves[8], Withings[7], Twitter[10] and Facebook[11]. The preliminary experiment demonstrates that the platform can successfully record, store and reuse the unified and structured personal health information in a long term, which including activities, location, exercise sleep, food, heat rate and mood. This demo receives highly positive feedbacks from interdisciplinary partners in EU VPH project MHA [14].

MyHealthAvatar and CARRE: case studies of interactive visualisation for internet‐enabled sensor‐assisted health monitoring and risk analysis

IET Networks, 2016

With the progress of wearable sensor technologies, more wearable health sensors have been made av... more With the progress of wearable sensor technologies, more wearable health sensors have been made available on the market, which enables not only people to monitor their health and lifestyle in a continuous way but also doctors to utilise them to make better diagnoses. Continuous measurement from a variety of wearable sensors implies that a huge amount of data needs to be collected, stored, processed and presented, which cannot be achieved by traditional data processing methods. Visualisation is designed to promote knowledge discovery and utilisation via mature visual paradigms with well-designed user interactions and has become indispensable in data analysis. In this paper we introduce the role of visualisation in wearable sensor-assisted health analysis platforms by case studies of two projects funded by the European Commission: MyHealthAvatar and CARRE. The former focuses on health sensor data collection and lifestyle tracking while the latter aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The roles of visualisation components including timeline, parallel coordinates, map, node-link diagrams, Sankey diagrams, etc. are introduced and discussed.

Data Mining, Management and Visualization in Large Scientific Corpuses

Lecture Notes in Computer Science, 2016

Visual Analytics for Health Monitoring and Risk Management in CARRE

Lecture Notes in Computer Science, 2016

For guidance on citations see FAQs.

MyHealthAvatar: A Case Study of Web-Based Interactive Visual Analytics of Lifestyle Data

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

Although cloud computing has made great inroads in terms of consumer adoption, we argue that the ... more Although cloud computing has made great inroads in terms of consumer adoption, we argue that the paradigm still has a long way to go to reach an economically efficient free market state. We highlight four key problems with the current cloud computing approach. These are (1) coarse granularity of service provision, (2) limited control of resources, (3) inadequate support for small providers and prosumers, and (4) vendor lockin via APIs. In this position paper, we briefly outline interesting work that may lead to a solution, in terms of moving towards a more market-based approach to cloud resource allocation.

Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar

Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", 2015

MyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's we... more MyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's wellbeing. As a lifetime companion of citizens the amount of data to be collected is large. It is almost impossible for citizens, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clock view and map. These components can be used cooperatively to achieve flexible visual analysis of spatial temporal lifestyle and health data.

Support for the Calculation of Stent Fatigue Fracture in Peripheral Arteries

TPCG, 2013

Vascular stenting is a medical intervention in which a wire mesh tube is inserted into an artery ... more Vascular stenting is a medical intervention in which a wire mesh tube is inserted into an artery or vein to provide internal support. This is a safe and common procedure, but stents are now increasingly being deployed in peripheral locations, such as the femoral artery, as part of a procedure called Peripheral Vascular Angioplasty (PVA). Stents in such locations are subject to cyclic bending, and are therefore at risk of fatigue fracture. This paper describes the work of the RT3S project, which brings together stent modelling, surgical simulation and risk calculation for surgical planning. This will allow the clinical user to interactively assess different stent models and deployment options for breakage risk. In the RT3S system, models of several commercial models of self-expanding stent are available for simulation. The placement of the stent in the vessel and the withdrawal of the catheter sheath to expand the stent are visualised. A simplex control mesh is used to guide the deformation of the stent from its compressed start configuration to its expanded final position. The fracture risk for the given model and its patient-specific final position is precomputed using the response surfaces methodology.

A user interface design for a patient oriented digital patient

13th IEEE International Conference on BioInformatics and BioEngineering, 2013

A scalable data repository for recording self-managed longitudinal health data of digital patients

13th IEEE International Conference on BioInformatics and BioEngineering, 2013

This paper presents the proof-of-concept design of the data repository for 4D digital avatars in ... more This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.

Using Web Services as Functional-Level Plug Ins for Interactive 3D Medical Visualisation

2010 14th International Conference Information Visualisation, 2010

... Conventionally, web service applications have been oriented to non-interactive data processin... more

Laplacian Musculoskeletal Deformation for Patient-Specific Simulation and Visualisation

2013 17th International Conference on Information Visualisation, 2013

ABSTRACT In many biomedical applications, it is often desired to simulate, analyse and visualise ... more ABSTRACT In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution.