Bianying Song

Technische Universität Braunschweig, Brunswyck, Lower Saxony, Germany

Are you Bianying Song?

Claim your profile

Publications (27)8.71 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: Decision support systems (DSSs) which are able to automatically supervise and control physical exercise training of patients affected by chronic obstructive pulmonary disease (COPD) are regarded as a novel method to promote rehabilitation. The objective of our research work for this paper was to evaluate the feasibility of a rule-based DSS for autonomous bicycle ergometer training of COPD patients. Load control is based on real-time analysis of sensor parameters oxygen saturation and heart rate. Ten COPD patients have participated in a study, performing altogether 18 training sessions. On average, 7.4 rules were fired in each training session. Four sessions had to be stopped for different reasons. The average ergometer training load ranged between 31 and 47 W. The average percentage of heart rate in or lower than the intended target zone was 45.9 and 41.6 %, respectively. The average patient-perceived Borg value was 12.6 ± 2.4. Patients reported a high satisfaction for the automatically controlled training. With the help of the DSS, patients may change their training place from a rehabilitation center to their own homes. More studies are needed to assess long-term clinical and motivational effects of the DSS in home environment.
    Journal of Medical Systems 01/2015; 39(1):150. DOI:10.1007/s10916-014-0150-x · 1.37 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Many societies across the world are confronted with demographic changes, usually related to increased life expectancy and, often, relatively low birth rates. Information and communication technologies (ICT) may contribute to adequately support senior citizens in aging societies with respect to quality of life and quality and efficiency of health care processes. For investigating and for providing answers on whether new information and communication technologies can contribute to keeping, or even improving quality of life, health and self-sufficiency in ageing societies through new ways of living and new forms of care, the Lower Saxony Research Network Design of Environments for Ageing (GAL) had been established as a five years research project, running from 2008 to 2013. Ambient-assisted living (AAL) technologies in personal and home environments were especially important. In this article we report on the GAL project, and present some of its major outcomes after five years of research. We report on major challenges and lessons learned in running and organizing such a large, inter- and multidisciplinary project and discuss GAL in the context of related research projects. With respect to research outcomes, we have, for example, learned new knowledge about multimodal and speech-based human-machine-interaction mechanisms for persons with functional restrictions, and identified new methods and developed new algorithms for identifying activities of daily life and detecting acute events, particularly falls. A total of 79 apartments of senior citizens had been equipped with specific "GAL technology", providing new insights into the use of sensor data for smart homes. Major challenges we had to face were to deal constructively with GAL's highly inter- and multidisciplinary aspects, with respect to research into GAL's application scenarios, shifting from theory and lab experimentation to field tests, and the complexity of organizing and, in our view, successfully managing such a large project. Overall it can be stated that, from our point of view, the GAL research network has been run successfully and has achieved its major research objectives. Since we now know much more on how and where to use AAL technologies for new environments of living and new forms of care, a future focus for research can now be outlined for systematically planned studies, scientifically exploring the benefits of AAL technologies for senior citizens, in particular with respect to quality of life and the quality and efficiency of health care.
    Informatics for Health and Social Care 09/2014; 39(3-4):166-187. DOI:10.3109/17538157.2014.931849 · 0.71 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Background: When applying health-enabling technologies (HET), researchers are faced with analyzing highly intensive, multimodal and heterogeneous data sets. Experience has shown that there is a lack of understanding concerning the relationship of analysis methods suitable for such data sets and their appropriate application. Objectives: The objective of this paper is to describe the present situation when analyzing data of HET and the main problems in this context, to present a nomenclature suitable for analysis methods in the context of HET, to present an example dealing with geriatric diseases that highlights the problems and the urgent need for results and to explain some steps for future work. Methods: Nomenclatures as standard tools in information processing are applied. Results: We present an open three-axial mono-hierarchical nomenclature called SNOCAP-HET. Moreover, we explain other ideas to overcome the lack of systematization within the set of analysis methods suitable for HET. Conclusions: Our approach allows for an extension of SNOCAP-HET and will allow for the development and evaluation of different measures for the appropriateness of analysis methods given a certain highly intensive, multimodal and heterogeneous data set in the context of HET. Our final future aim is to obtain better results when analyzing medical data.
    Informatics for Health and Social Care 07/2014; 39(3-4):1-11. DOI:10.3109/17538157.2014.931847 · 0.71 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Health enabling technologies and ambient assisted living are important fields in biomedical informatics. In this context, a huge variety of analysis methods are applied. Neither is a suitable structuring of these methods available, nor is an aid known for selecting appropriate methods for a given set of data specifying a context and a problem. The goal of the present paper is to present a prototype of a semantic collaboration tool which is based on the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET). This tool can be seen as a first step towards an assistance system for decision support within SNOCAP-HET. We present aspects of the selection and modeling process of our tool and discuss its benefits and appealing tasks for further research. Moreover we present a number of already planned and some unspecified upcoming steps which should optimize SNOCAP-HET in the future.
    Journal of Medical Systems 01/2014; 38(1):9996. DOI:10.1007/s10916-013-9996-6 · 1.37 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Against the background of demographic change and a diminishing care workforce there is a growing need for personalized decision support. The aim of this paper is to describe the design and implementation of the standards-based personal intelligent care systems (PICS). PICS makes consistent use of internationally accepted standards such as the Health Level 7 (HL7) Arden syntax for the representation of the decision logic, HL7 Clinical Document Architecture for information representation and is based on a open-source service-oriented architecture framework and a business process management system. Its functionality is exemplified for the application scenario of a patient suffering from congestive heart failure. Several vital signs sensors provide data for the decision support system, and a number of flexible communication channels are available for interaction with patient or caregiver. PICS is a standards-based, open and flexible system enabling personalized decision support. Further development will include the implementation of components on small computers and sensor nodes.
    Studies in health technology and informatics 01/2013; 186:135-9.
  • [Show abstract] [Hide abstract]
    ABSTRACT: When working with health-enabling technologies, researchers all over the world usually have to analyze highly intensive, multimodal and incoherent data. We explain that there is a lack of systematization within the set of methods of analysis suitable for these data. As a first step towards a methodology in this context, we present the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET).
    Studies in health technology and informatics 01/2013; 192:967. DOI:10.3233/978-1-61499-289-9-967
  • [Show abstract] [Hide abstract]
    ABSTRACT: Complications may occur after a liver transplantation, therefore proper monitoring and care in the post-operation phase plays a very important role. Sometimes, monitoring and care for patients from abroad is difficult due to a variety of reasons, e.g., different care facilities. The objective of our research for this paper is to design, implement and evaluate a home monitoring and decision support infrastructure for international children who underwent liver transplant operation. A point-of-care device and the PedsQL questionnaire were used in patients' home environment for measuring the blood parameters and assessing quality of life. By using a tablet PC and a specially developed software, the measured results were able to be transmitted to the health care providers via internet. So far, the developed infrastructure has been evaluated with four international patients/families transferring 38 records of blood test. The evaluation showed that the home monitoring and decision support infrastructure is technically feasible and is able to give timely alarm in case of abnormal situation as well as may increase parent's feeling of safety for their children.
    Studies in health technology and informatics 01/2013; 192:268-72. DOI:10.3233/978-1-61499-289-9-268
  • [Show abstract] [Hide abstract]
    ABSTRACT: Cardiopulmonary diseases affect millions of people and cause high costs in health care systems worldwide. Patients should perform regular endurance exercises to stabilize their health state and prevent further impairment. However, patients are often uncertain about the level of intensity they should exercise in their current condition.
    Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 08/2012; 2012:702-6. DOI:10.1109/EMBC.2012.6346028
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Wearable sensor systems which allow for remote or self-monitoring of health-related parameters are regarded as one means to alleviate the consequences of demographic change. This paper aims to summarize current research in wearable sensors as well as in sensor-enhanced health information systems. Wearable sensor technologies are already advanced in terms of their technical capabilities and are frequently used for cardio-vascular monitoring. Epidemiologic predictions suggest that neuropsychiatric diseases will have a growing impact on our health systems and thus should be addressed more intensively. Two current project examples demonstrate the benefit of wearable sensor technologies: long-term, objective measurement under daily-life, unsupervised conditions. Finally, up-to-date approaches for the implementation of sensor-enhanced health information systems are outlined. Wearable sensors are an integral part of future pervasive, ubiquitous and person-centered health care delivery. Future challenges include their integration into sensor-enhanced health information systems and sound evaluation studies involving measures of workload reduction and costs.
    06/2012; 18(2):97-104. DOI:10.4258/hir.2012.18.2.97
  • [Show abstract] [Hide abstract]
    ABSTRACT: Patient empowerment might be one key to reduce the pressure on health care systems challenged by the expected demographic changes. Knowledge based systems can, in combination with automated sensor measurements, improve the patients' ability to review their state of health and make informed decisions. The Arden Syntax as a standardized language to represent medical knowledge can be used to express the corresponding decision rules. In this paper we introduce ARDEN2BYTECODE, a newly developed open source compiler for the Arden Syntax. ARDEN2BYTECODE runs on Java Virtual Machines (JVM) and translates Arden Syntax directly to Java Bytecode (JBC) executable on JVMs. ARDEN2BYTECODE easily integrates into service oriented architectures, like the Open Services Gateway Initiative (OSGi) platform. Apart from an evaluation of compilation performance and execution times, ARDEN2BYTECODE was integrated into an existing knowledge supported exercise training system and recorded training sessions have been used to check the implementation.
    Computer methods and programs in biomedicine 12/2011; 106(2):114-25. DOI:10.1016/j.cmpb.2011.11.003 · 1.56 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: One of the key problems in accelerometry based gait analyses is that it may not be possible to attach an accelerometer to the lower trunk so that its axes are perfectly aligned to the axes of the subject. In this paper we will present an algorithm that was designed to virtually align the axes of the accelerometer to the axes of the subject during walking sections. This algorithm is based on a physically reasonable approach and built for measurements in unsupervised settings, where the test persons are applying the sensors by themselves. For evaluation purposes we conducted a study with 6 healthy subjects and measured their gait with a manually aligned and a skewed accelerometer attached to the subject's lower trunk. After applying the algorithm the intra-axis correlation of both sensors was on average 0.89±0.1 with a mean absolute error of 0.05g. We concluded that the algorithm was able to adjust the skewed sensor node virtually to the coordinate system of the subject.
    Computer methods and programs in biomedicine 11/2011; 106(2):97-103. DOI:10.1016/j.cmpb.2011.10.014 · 1.56 Impact Factor
  • Tagungsband der 56. gmds Jahrestagung, 26.-29.09.2011, Mainz; 01/2011
  • [Show abstract] [Hide abstract]
    ABSTRACT: Repeated endurance training - supervised by an expert - is one of the most effective rehabilitation methods for patients with chronic obstructive pulmonary disease (COPD) to improve physical function. Monitoring of vital signs in combination with an automatic intelligent training control and emergency detection facilitates supervised training without the physical presence of an expert as well as training optimisation through individualisation. The aim of this study is the development of a suitable analysis and control method for this purpose. Healthy volunteers and patients with COPD were equipped with body sensors during ergometer training to enable measuring their vital signs continuously. Depending on these values, the exercise load of the ergometer was controlled automatically using a Bayesian network. The network, trained with expert knowledge and training data, is embedded in our system by using Java application programming interface. Extensive tests in a laboratory setting have proved safe usage of our prototype. In a case study, evaluation during training sessions with patients with COPD took place. Due to the automatic control the patients' vital signs ranged inside the predefined optimal thresholds for at least 95% of the time. Furthermore, our results suggest an increase of the training efficiency compared with the conventional method (constant exercise load).
    Informatics for Health and Social Care 12/2010; 35(3-4):144-56. DOI:10.3109/17538157.2010.528659 · 0.71 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Worldwide, ageing societies are bringing challenges for independent living and healthcare. Health-enabling technologies for pervasive healthcare and sensor-enhanced health information systems offer new opportunities for care. In order to identify, implement and assess such new information and communication technologies (ICT) the 'Lower Saxony Research Network Design of Environments for Ageing' (GAL) has been launched in 2008 as interdisciplinary research project. In this publication, we inform about the goals and structure of GAL, including first outcomes, as well as to discuss the potentials and possible barriers of such highly interdisciplinary research projects in the field of health-enabling technologies for pervasive healthcare. Although GAL's high interdisciplinarity at the beginning slowed down the speed of research progress, we can now work on problems, which can hardly be solved by one or few disciplines alone. Interdisciplinary research projects on ICT in ageing societies are needed and recommended.
    Informatics for Health and Social Care 12/2010; 35(3-4):92-103. DOI:10.3109/17538157.2010.520419 · 0.71 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Population ageing needs health-enabling technologies for delivering pervasive health care. Home care plays an import role in pervasive health care. In this paper, we aim to construct a home-centered health information system architecture which can efficiently manage multi sensors, actuators and decision support systems. Open Services Gateway initiative (OSGI) was used for constructing the service oriented architecture. HL 7 Arden Syntax for medical logic module (MLM) was used to describe the medical knowledge; An Arden compiler was used to interpret the MLMs. The Arden compiler was packed in an OSGI bundle. All of the knowledge bases can share the compiler within the OSGI platform. System within the OSGI-based architecture can change their behaviors during runtime. The proposed prototype architecture was deployed in a case study.
    Studies in health technology and informatics 01/2010; 160(Pt 1):48-52.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Unter assistierenden Gesundheitstechnologien sollen hier Informatik-Werkzeuge verstanden werden, welche systematisch Daten, Informationen und Wissen über den Gesundheitszustand eines Individuums verarbeiten, um diesen Gesundheitszustand zu erhalten oder zu verbessern. Im Zentrum der Forschung zu assistierenden Gesundheitstechnologien steht der Mensch (typischerweise mit zukünftigem Funktionsdefizit) in seiner Lebensumgebung. Ziel der Forschung ist die Erhöhung der individuellen Lebensqualität (bei verbesserter Versorgungseffizienz) durch Anwendung neuer assistierender Gesundheitstechnologien. Ziel des Vortrags ist es -- u.a. anhand von Beispielen -- assistierende Gesundheitstechnologien und deren Potentiale für die Gesundheitsversorgung zu beschreiben.
    eHealth2010 -- Health Informatics meets eHealth -- von der Wissenschaft zur Anwendung und zurück. Tagungsband der eHealth2010 vom 06. -- 7. 5. 2010 in Wien; 01/2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: The demographic change will lead to an increase in the incidence of falls in the elderly. Technological progress allows for unobtrusive physical activity measurement with miniature sensors, e.g. accelerometers. Yet it is unclear which activities or activity patterns are associated with an increased fall risk. The aim of the research for this paper is to identify daily physical activities associated with a high fall risk. A one-year follow-up study was conducted with n=50 geriatric patients who took part in a telephone interview to assess fall events, their consequences and a set of daily physical activities. Descriptive analysis of the data shows that there are marked differences between fallers (n=21) and non-fallers (n=29) in the overall activity level, the amount of shopping activity and associated locomotion, and in the intensity of light household work. The results confirm that there are differences in typical daily activities between fallers and non-fallers that may be used as parameters to enhance fall prediction models.
    Studies in health technology and informatics 01/2010; 160(Pt 1):68-72.
  • Tagungsband der 55. gmds Jahrestagung, 05-09.09.2010, Mannheim; 01/2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: Einleitung Dreißig Prozent der über 65-Jährigen stürzen mindestens einmal pro Jahr. Stürze verursachen durch ihre teils schweren Folgen hohe Kosten und können zur Immobilisierung führen. Sturzerkennungssysteme können älteren Menschen eine gewisse Sicherheit bieten, im Notfall zum Beispiel Nachbarn, Angehörige oder mobile Pflegedienste zu kontaktieren und damit länger selbstständig und selbstbestimmt in ihrer gewohnten Umgebung zu leben. Solche Sturzerkennungssysteme müssen dabei sehr verlässlich sein. Material und Methoden Es wurde ein System zur Sturzerkennung realisiert, das auf einem Vision- und einem Beschleunigungssensor basiert. Die Ergebnisse der beiden Systeme wurden fusioniert, um auf diese Weise ihre Zuverlässigkeit und Ausfallsicherheit zu erhöhen. Die Fusionsmethode erlaubt es, zusätzliche Sturzerkennungsalgorithmen zu integrieren, ohne die Fusion dabei anpassen zu müssen. Die Schlüsselidee ist hierbei, dass jeder Sensor nach der Evidenztheorie neben einem Wahrscheinlichkeitswert auch einen Wert über die Zuverlässigkeit der Messung bestimmt. Die Fusion ist dadurch in der Lage, in unsicheren Situationen dem Sensor mehr zu „vertrauen“, der sich sicherer ist. Dies bedeutet jedoch gleichzeitig, dass der Ausfall eines Sensors das Fusionsergebnis nicht wesentlich beeinflusst und durch die anderen Sensoren kompensiert werden kann. Ergebnisse In einer Studie mit sieben jungen Probanden wurde das System getestet. Der Beschleunigungssensor erreichte eine Sensitivität von 83,7% und eine Spezifität von 97,2%. Der Vision-Sensor erreichte eine Sensitivität von 85,3% und eine Spezifität von 93,3%. Die Fusion lieferte eine Sensitivität von 91,4% und eine Spezifität von 95,0%. Diskussion Während der Evaluierung zeigte sich, dass die Sturzalgorithmen der Einzelsysteme zuverlässig arbeiteten. Für jede Sensortechnologie gibt es jedoch Situationen, in denen die Zuverlässigkeit der Messungen niedrig ist. Der Vision-Sensor kann besonders bei starken Beleuchtungsänderungen keine genauen Aussagen treffen; für den Beschleunigungssensor stellt sich das Ablegen des Gürtels als große Herausforderung heraus. Um die Performance hinsichtlich dieser beiden Aspekte zu überprüfen, wurden die Probanden angewiesen, während der Datenakquisition diverse Beleuchtungssituationen herzustellen, indem sie Lampen ein- und ausschalten sollten und den Gürtel mit dem integrierten Beschleunigungssensor für einige Minuten abzulegen. Die Gesamtauswertung zeigte, dass durch die Fusion der Ergebnisse der beiden Algorithmen höhere Erkennungsraten erzielt werden konnten, als die einzelnen Komponenten für sich erreichten. Der vorgestellte Ansatz zur Fusion ist dabei so einfach, dass man diesen leicht auf Embedded-Systeme integrieren und für zukünftige Anwendungen z.B. auf dem iPhone ressourcenschonend implementieren kann. Weitere in die Fusion integrierbare Sturzerkennungsalgorithmen könnten beispielsweise auf Mikrophonen, Drucksensoren oder intelligenten Teppichen basieren.
    Tagungsband der 55. gmds Jahrestagung, 05-09.09.2010, Mannheim; 01/2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: For an improvement of the quality of life for patients suffering from chronic obstructive pulmonary disease (COPD) we developed a concept and prototype of a sensor-enhanced health information system. This system includes a component that is monitoring the rehabilitation training and automatically controls the target load for the exercise on the basis of his or her vital data. The system also detects potentially critical health states and communicates alarms to external users. The component interacts with a personal electronic health record (PHR) that provides additional health related information for the decision making process, as feedback to the user and as an opportunity for physicians to optimize the users exercise plan. The PHR uses current medical informatics standards to store and transmit training data to health care professionals and to provide a maximum of interoperability with their information systems. We have integrated these components in a service oriented platform design that is located in the home environment of the user.
    4th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2010, Munich, Germany, 22-25 March, 2010; 01/2010