By Topic

e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on

Date 10-13 Oct. 2012

Filter Results

Displaying Results 1 - 25 of 112
  • A study of repeatability and reproducibility for tongue diagnosis instrument in TCM

    Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1228 KB) |  | HTML iconHTML  

    We design a solid phantom with painted tongue body as a simulation of human tongue and analyze the average color distance of the phantom images to evaluate the repeatability and reproducibility of this instrument. The color difference is applied as a tolerance of Precision-to-Tolerance ratio (P/T) in QS9000. The P/T ratio of total measurement is used to indicate whether the instrument is correctly built or in good condition for continuous use. We may find some confounding factors of these instruments through this examination. The result shows the unsteady condition for image capture by the instrument or operator factors such as light, vibration, operators training and so on could be adjusted or modified. The study of repeatability and reproducibility needs to be performed when a new tongue diagnosis instrument is being introduced, and could help TCM doctors to establish a standard tongue diagnosis environment. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Thinking of comparative effectiveness research of the combination in the real traditional Chinese medicine world

    Page(s): 7 - 9
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (207 KB) |  | HTML iconHTML  

    The research of traditional Chinese medicine clinical represented by the randomized controlled trial (RCT) has developed rapidly, But it also revealed two problem. The “combination between disease and syndrome” reflects the common law of disease and the patient's personality characteristics, and individual therapy focuses on dynamic effect which is more suitable for research environment in the real world the Institute of Medicine of the US National Academy of Science proposed the comparative effectiveness research (CER) to compare the research and analysis of different treatment methods. Building clinical research methods in the real world needs to carry on innovative exploration, and studies the methods and specifications of clinical research in the real world from the elements of clinical design, the control of bias, data management, statistical analysis, ethics and other clinical researches. On the basis, the comparative effectiveness research of “real world” and the “combination between disease and syndrome” needs to be carried out. The comparative effectiveness research of traditional Chinese medicine in the real world includes retrospective and prospective studies. The retrospective study is to analyze and compare based on historical data to provide clues and evidence for prospective study. The prospective study is to build follow-up platform for patients to carry on prospective study design. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Clinical data preprocessing and case studies of POMDP for TCM treatment knowledge discovery

    Page(s): 10 - 14
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (596 KB) |  | HTML iconHTML  

    Partially Observable Markov Decision Processes (POMDP) has been applied to induce sequential treatment scheme from Traditional Chinese Medicinal (TCM) clinical data. The data required by POMDP should be of rich structure and with heterogeneous variables. But sometimes there is large number of missing values in the real-world TCM clinical data set. This makes it difficult for data preprocessing. This paper designs a data preprocessing framework of TCM clinical data for POMDP applications. It significantly facilitates the process of sequential treatment scheme discovery through POMDP when applying the framework on TCM clinical cases of coronary heart disease and lung cancer. We also systematically analyze the sequential treatment scheme. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Using link topic model to analyze traditional Chinese Medicine Clinical symptom-herb regularities

    Page(s): 15 - 18
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (617 KB) |  | HTML iconHTML  

    Traditional Chinese Medicine (TCM) is a clinical medicine, which focuses on human physiology, pathology, diagnosis and treatment of diseases. Numerous clinical practice and theory research in the TCM field have accumulated huge amount of data. These data include TCM basic databases, TCM literature, as well as a large number of databases or data warehouse on TCM clinical diagnoses and treatment. More and more people pay attention to the discovery of hidden regularities of TCM clinical data. In recent years, topic model has been popularly used for text analysis and information retrieval by extracting latent and significant topics from corpus. In this paper, we apply the Link Latent Dirichlet Allocation (LinkLDA), to automatically extract the latent topic structures which contain the information of both symptoms and their corresponding herbs. By experimental results, the latent topic with symptoms and their corresponding herbs show clinical meaningful results. Furthermore, the model is also compared with other topic models, such as author-topic model, and the result of LinkLDA got better results. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Full life cycle health records of data base center architecture research

    Page(s): 19 - 22
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (599 KB) |  | HTML iconHTML  

    Full life cycle health records service is the core of the regional health information platform. The file information which is various and massive includes basic personal information, major diseases and health problems, women and children health information, disease prevention and control, disease management information. Because of different targets, we need different ways to show and have an efficient way to carry out of the business system, these data also can be assembled for the people-centered health information. Based on these requirements, we propose an data center architecture which separating business from data storage in exchanging. It links the workflow with all kinds of service on one hand and. On the another hand, it is able to accommodate the expansion of personal health information database. Compare the architecture with the traditional three-level, the paper highlights the performance of its advantages and points out the trend on future. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Technical models and key technologies of E-Health Monitoring

    Page(s): 23 - 26
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (554 KB) |  | HTML iconHTML  

    This paper describes E-Health Monitoring (EHM) ecosystem and current EHM market segments. Based on IoT reference model, three EHM technical models are proposed. Model 1 focuses on device to device communication; model 2 focuses on network providing connection only; model 3 focuses on network combined with platform. Model 3 is equipped with a service support platform which is a new entity comparing with model 2. And then, several key technologies are proposed for service support platform of model 3. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • New requirements and trends of mHealth

    Page(s): 27 - 31
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (561 KB) |  | HTML iconHTML  

    This paper presents a representative use case of mHealth. The use case, called patient monitoring, is described from a Mobile Network Operator (MNO) point of view and should be seen as complimentary to other use cases that already exist from other parts of the industry. Then three communication scenarios are abstracted form the use case in order to clarify MNO's concerns and new requirements. The MNO's assets that mHealth take advantages from are evaluated next. And new requirements and trends of mHealth are presented before the conclusion of this paper. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Hybrid decision making in the monitoring of hypertensive patients

    Page(s): 32 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (290 KB) |  | HTML iconHTML  

    In the intelligent monitoring of the hypertensive patients, it's necessary to assess their treatment effect and give corresponding diagnostic feedback automatically. This paper proposed a hybrid decision support system (DSS) combining several data mining techniques using an improved weighted majority voting scheme (iWMV). The mass health data of hypertensive patients were used as data source of the data mining techniques, and iWMV was used to produce a proper final judgement on patients' control condition on the basis of the individual classifier results. The proposed system was trained and evaluated using data from 167 hypertensive patients. Performance analysis showed that the hybrid system could reach classification rate (CR) of 95.34% and kappa coefficient (KC) of 92.54%, much better than systems with a single classification algorithm or combining using the simple weighted majority voting scheme (WMV). Moreover, the proposed DSS showed high stability. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Integrating modern technology with Traditional Chinese Medicine, sharing information across Hong Kong

    Page(s): 38 - 40
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (153 KB) |  | HTML iconHTML  

    This paper serves to share Hong Kong's experience in the modernization of traditional Chinese Medicine through application of modern technology. CMIS, short for Chinese Medicine Information System, is a comprehensive computerized clinical management system which supports and assists clinical and non-clinical staff with their daily workflow at the clinics. The seven modules: registration and appointment, billing, assessment, consultation, dispensing and inventory management, clinical intelligence as well as management reports work together to consolidate all the real-time information related to the operation of a Chinese medicine clinic. Record sharing was made possible through this centralized CMIS system. At the moment CMIS serves 16 clinics across Hong Kong. Two new Chinese Medicine Center for Training and Research (CMCTRs) managed under tripartite collaboration agreement among Hospital Authority, local universities and local NGOs are scheduled to be established during 2013-2015. Eventually there will be 18 CMCTRs in total. Serving one CMCTR in every district in Hong Kong, CMIS paves the path to future patient-centered electronic health record (eHR). View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Data mining Traditional Chinese Medicine (TCM): Lessons learnt from mining in law and allopathic medicine

    Page(s): 41 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (555 KB) |  | HTML iconHTML  

    Key decisions at the collection, pre-processing, transformation, mining and interpretation phase of any knowledge discovery from database (KDD) process depend heavily on assumptions and theoretical perspectives relating to the type of task to be performed and characteristics of data sourced. In this article, we compare and contrast theoretical perspectives and assumptions taken in data mining exercises in the legal domain with those adopted in data mining in TCM and allopathic medicine. The juxtaposition results in insights for the application of KDD for Traditional Chinese Medicine. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Construction of national clinical research data center of Traditional Chinese medicine

    Page(s): 47 - 51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (319 KB) |  | HTML iconHTML  

    Traditional Chinese medicine (TCM) is developed from clinical practice. Rich information can be obtained from the medical record of TCM. National clinical research data center of TCM is constructed to collect the clinical medical data of TCM from hospitals all over the country. The construction framework of national clinical data center of TCM includes infrastructure construction, software construction, local branch data center construction and institutional framework. In the mean time, a series of measures is implemented to guarantee the normal running of the national clinical data center of TCM. The construction of national clinical data center of TCM may promote the development of TCM and improve the level of medical care in China. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multidimensional analysis for Traditional Chinese Medicine diagnosis and treatment on hepatitis diseases

    Page(s): 52 - 56
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1209 KB) |  | HTML iconHTML  

    Traditional Chinese Medicine (TCM) has been widely used to treat various diseases like infectious diseases. Treatment Based on Syndrome Differentiation (TBSD) is the main principle in TCM clinical practice. So exploring the relationships between diagnoses and treatments from successful cases is important and valuable for better treating hepatitis diseases, which is a decision support problem based on data warehouse in nature. In this paper, using the multidimensional analysis techniques of BusinessObjects (BO) platform, we introduce a series of online analytical processing (OLAP) reports which cover different subjects of TCM on hepatitis diseases and a corresponding system used to manage the reports. It has been found that these OLAP reports are useful in experience sharing of making diagnoses and giving treatments on hepatitis diseases. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Enhanced data extraction, transforming and loading processing for Traditional Chinese Medicine clinical data warehouse

    Page(s): 57 - 61
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (491 KB) |  | HTML iconHTML  

    Clinical data warehouse has been developed as a fundamental data infrastructure for large scale TCM clinical data management and decision support services. However, as a key component, data extraction, transforming and loading (ETL) is a complicated and labor intensive task to ensure high data quality before all kinds of data analyses. This paper introduces an enhanced ETL technique framework, which includes operational data store (ODS) model and two step data preprocessing subcomponents, to perform the ETL tasks. The ODS data model was designed to integrate the heterogeneous clinical data sources and support the direct copy from these data sources to ODS database by ETL. Therefore, ETL task has been separated into two core steps in enhanced ETL component: (1) dynamic filter and copy of the original operational data sources to ODS; (2) specialized transforming the ODS data to detailed clinical data warehouse. This enhanced technique framework improves the ETL performance to be used in clinical data center since there would have various kinds of operational data sources that need be integrated in this data environments. This paper has a description of the related enhanced ETL framework and proposes some key procedures to accomplish the tasks. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A monitoring system for type 2 diabetes mellitus

    Page(s): 62 - 67
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1035 KB) |  | HTML iconHTML  

    This paper presents a novel type 2 diabetes mellitus (T2DM) monitoring system. Decisions on the statuses of diabetes control and predictions of future blood glucose of an individual made by the system depend both on the original medical data collected by medical sensors and some contexts either are entered manually or generated automatically. When dealing with the data, first we clean and transform data and contexts, then build data mining models using several mining algorithms. After the mining process, we analyze and assess the accuracy and sensitivity of the models, and find out the appropriate models for decision making and predicting in diabetes control. Our study is of certain significance to help prevent and treat T2DM. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An interference avoidance strategy for zigbee based WeHealth monitoring system

    Page(s): 68 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (308 KB) |  | HTML iconHTML  

    With the unprecedented aging of population, chronic disease become a serious problem in modern medical area. Recent advances of wireless technology make the health monitoring in home to be more convenient for the chronic disease. Reducing the influence of the interference from the other wireless equipment is one of the most important problems in wireless physical parameter monitoring device in healthcare field, as reliable data transmitting is vital in medical care. In this paper, we propose a novel interference avoidance strategy that can greatly reduce the influence of the interference from other wireless equipment to wireless physical parameter monitoring devices in the hospital or home environment. Experimental results show that the strategy has good effect on interference avoidance and reduce the package loss rate. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A study of regional cooperative emergency care system for ST-elevation myocardial infarction patients based on the internet of things

    Page(s): 73 - 77
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (453 KB) |  | HTML iconHTML  

    We established a regional cooperative emergency care system of ST-elevation myocardial infarction patients based on the internet of things. In this article, the current status and problems of ST-elevation myocardial infarction patient emergency care have been studied and key influence factors are found. As the results, a shorter time from symptom onset to reperfusion is achieved with improved outcomes for patients with ST-segment elevation myocardial infarction (STEMI). Primary percutaneous coronary intervention (PCI) in patients with STEMI significantly reduces mortality and morbidity, particularly when door-to-balloon (D2B) time is <; 90 min. An expedited pre-hospital diagnosis and transfer pathway was developed, with rapid reperfusion times and favorable outcomes. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A systemic description of service flows in Traditional Chinese Medicine

    Page(s): 78 - 81
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (559 KB) |  | HTML iconHTML  

    Traditional Chinese Medicine can be viewed as a health promotion and healing system that has been practice, based on both philosophy and practical experience, for thousands of years. Although this medicine is crucial in the information of integrative medicine, lack of methodology and experience sharing mechanisms has impeded the development of this specific branch of medicine. This study adopts a systematic approach to describe service flows in Traditional Chinese Medicine. Following a literature review, specialist meetings and field observations are conducted to gather opinions from different perspectives. A conceptual framework was created to describe entities involved in service flows for Tradition Chinese Medicine and their inter-relationships. The framework can be used to clarify the abstract knowledge of this medicine which can contribute to the development of Traditional Chinese Medicine. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A study on electrical properties of acupuncture points in allergic rhinitis

    Page(s): 82 - 87
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (438 KB) |  | HTML iconHTML  

    Allergic rhinitis is a prevalent disease throughout the world. Electrodermal screening devices (EDSD) are devices that can measure the electrical properties of acupuncture points. This paper performs a series of experiments based on machine learning algorithms to study the feasibility of utilizing EDSD to diagnose allergic rhinitis. The experimental result shows that, to assess the presence of allergic rhinitis, using the k-nearest neighbor classification algorithm, the accuracy can achieve 93.26%, and using the support vector machine classification algorithm, the average accuracy can achieve 97.78%. The experimental result also shows that using, respectively, the k-means clustering algorithm and the Ward's hierarchical clustering algorithm to cluster the data into three clusters, 87% of the data are consistently clustered. The average total symptom scores in these three clusters are also very consistent. Based on the 87% consistently clustered data, using the support vector machine algorithm to assess the severity (mild and moderate/severe) of allergic rhinitis, the average accuracy can achieve 99.57%. In particular, the experimental result also shows that the disordered EDSD values at acupuncture points of spleen meridian and liver meridian coincides with the clinic experiences of standard traditional Chinese medicine. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Real-world clinical data mining on TCM clinical diagnosis and treatment: A survey

    Page(s): 88 - 93
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (360 KB) |  | HTML iconHTML  

    This paper provides a survey of data mining methods that have been commonly applied to real-world TCM clinical data in recent years, and sets forth the requirements of data mining on real-world TCM clinical diagnosis and treatment data, in order to provide reference for better analyzing the syndrome differentiation and treatment principle hidden in the massive TCM clinical data in the future. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Research on the nomenclature relations of conceptual system in fundamental theory of Traditional Chinese Medicine

    Page(s): 94 - 99
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (375 KB) |  | HTML iconHTML  

    Objective: Extracting on the medical terminology system will associate TCM with intelligent system and propel TCM informatization. Method: Extracting the term relation by artificial drawing and comparative analysis with UMLS. Results: Obtained 26 kinds of term relations on Nomenclature Relations of Conceptual System in Fundamental Theory of TCM and enriched UMLS. Conclusion: We should further study on Nomenclature Relations of Conceptual System in Fundamental Theory of TCM owing its characters. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Scheduling medical tests: A solution to the problem of overcrowding in a hospital emergency department

    Page(s): 100 - 104
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (678 KB) |  | HTML iconHTML  

    To improve the performance of hospital emergency department (ED), we propose a scheduling strategy to reduce the total time of medical tests in ED for a given number of patients. We model the schedulig strategy as a constraint logic programming problem, and then solve this problem with an open source software: Minizinc. Also we compare the medical test time with the scheduling strategy and that without scheduling, which is viewed as a benchmark for our proposed scheduling strategy. The results show that the scheduling strategy can save 12%-25% of medical test time. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The development of a Patient Adherence Management System Applying Intelligent Keyword (PAMSIK) empowered by peer learning mechanism

    Page(s): 105 - 110
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (890 KB) |  | HTML iconHTML  

    For each treatment plan, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords to navigate users to the target in-time knowledge and also leverage the collective power - peer learning to encourage patients. Three major components are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Notice of Violation of IEEE Publication Principles
    On medical informatics for pervasive and ubiquitous computing in eHealth

    Page(s): 111 - 118
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (976 KB) |  | HTML iconHTML  

    Notice of Violation of IEEE Publication Principles

    "On Medical Informatics for Pervasive and Ubiquitous Computing in eHealth"
    by Aravind Kailas and Dimitrios Stefanidis
    in the Proceedings of the 2012 International Conference on eHealth Networking, Applications and Services (HealthCom), October 2012, pp. 111-118

    After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

    This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

    Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

    "A Survey of Data Analytics Methods in Ubiquitous Sensor-Based Healthcare Information Systems"
    by Arijit Mukherjee, Arpan Pal, Prateep Misra
    in the Proceedings of the 2012 International Conference on Advances in Computing, Communications and Informatics (ICACCI), ACM, August 2012

    As the world moves towards the reality of “intelligent infrastructures,” many avenues open up for research on sensor - based intelligent and ubiquitous systems. Healthcare is one such application area, where sensors and mobile platforms are becoming more useful and hence the idea of analyzing the data feeds from sensors to extract useful meanings is gaining in popularity. Various data-mining techniques are used in this regard. Apart from these, stream processing and continuous event processing are also becoming popular. This paper is a broad survey article where we look into the emerging trends in Ubiquitous Healthcare Information Systems, especially, various approaches taken in order to successfully use data analyti- s techniques on the data streams coming from the sensors and mobile platforms to cluster patients into similar groups, or analytics processing on streaming data to detect abnormal medical conditions as early as possible. The paper also refers to a recent research on non-parametric classification of data, which has the potential to discover interesting patterns within physiological data, which may otherwise remain undetected and advocates it's case in the health domain. Considering the size of the population and hence the volume of data, there are several architectural challenges such as scalability and availability of the platforms and handling of “big-data.” We try to summarize how these problems have been addressed and whether the solutions are adequate or not. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Remote rehabilitation model based on BAN and cloud computing technology

    Page(s): 119 - 123
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (457 KB) |  | HTML iconHTML  

    With the improvement of living standards and the intensified social competition, the population of various chronic diseases is gradually expanded. In this study, we use a mature domestic commercial Body Area Network as our experiment platform-IVT mhealth system, a remote health care and rescue system created by IVT Corporation. This system adopts several most advanced technologies and patents in the world. It is a remote health care and rescue system, which consists of sensors, the call center and network platform. With the collaboration of medical institutions and health advisory center, it has the function of monitoring, positioning and asking for help. This system has achieved a dynamic measurement of ECG, blood pressure, blood glucose and blood oxygen. The data of users collected by wireless blood pressure meter, oximeter, ECG analyzer can be automatically sent to the cloud via cell phone and be kept as materials on records. This system provides a good platform for remote guidance, quantitative real-time monitoring and timely two-way feedback, as well as dynamic evaluation and overall adjustment for exercise rehabilitation of people on a large scale. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Using artificial neural nets to Hemo metabolites identification

    Page(s): 124 - 131
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (690 KB) |  | HTML iconHTML  

    Over the last century there has been a considerable increase in human longevity and this made a large number of people to reach a critical age for development of several diseases. As a result of this increase in life expectancy health issues related to ageing appeared, some examples are hypercholesterolemia, hyperglycemia and increased levels of blood urea. This paper presents a portable and low cost system using Artificial Neural Networks to Hemo metabolites identification. The system developed is based in amperometric biosensors and is able to perform the identification of glucose, cholesterol and urea concentrations in the blood. The main goals of this system is: the identification of three types of Hemo metabolites with their concentrations, the low cost of the entire system and the reuse capability of the biosensor. Cost of the entire system and the reuse capability of the biosensor. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.