30 research outputs found

    A multidisciplinary reference framework to support implementation and assessment of diabetes care in community settings: study design

    Full text link
    Diabetes is a disease presenting multifaceted challenges. A holistic approach is needed to properly address it. The Chronic Care Model, worldwide reference for managing chronic disease in community settings, support implementation at micro-meso--macro level. We present a multi-disciplinary framework that support the uptake of the Chronic Care Model. This framework was tested to support the implementation of a research project focused on Diabetes Management through personal health systems

    An iPhone-based application for promoting type 2 diabetic patients self- management towards healthy lifestyle habits

    Full text link
    — In 2000, according to the World Health Organization, at least 171 million people, 2.8% of the population worldwide, suffered from diabetes. The Centres for Disease Control has defined it as an epidemic disease. Its incidence is increasing rapidly, and it is estimated that by 2030 this number will almost double. Diabetes mellitus occurs throughout the world, but is more common (especially type 2) in the more developed countries. Diabetes is a chronic condition that occurs when pancreas does not assure enough insulin secretion or when the body does not consume the insulin produced. Insulin is a hormone that regulates blood sugar. The effect of uncontrolled diabetes is the hyperglycaemia (blood sugar), which eventually seriously damage many organs and systems, especially the nerves and blood vessels. Diabetes type 2 (most common type of diabetes) is highly correlated with elderly people, obesity or overweight. Promoting a healthy lifestyle helps patients to improve their quality of life and in many cases to avoid complications related to the disease. This paper is intended to describe an iPhone-based application for self-management of type 2 diabetic patients, which allow them improving their lifestyle through healthy diet, physical activity and educatio

    A telehealth system for Parkinson's disease remote monitoring. The PERFORM approach

    Get PDF
    This paper summarizes the experience and the lessons learned from the European project PERFORM (A sophisticated multi-parametric system FOR the continuous effective assessment and monitoring of motor status in Parkinson s disease and other neurodegenerative diseases). PERFORM is aimed to provide a telehealth system for the remote monitoring of Parkinson s disease patients (PD) at their homes. This paper explains the global experience with PERFORM. It summarizes the technical performance of the system and the feedback received from the patients in terms of usability and wearability

    Heart Failure Monitoring System Based on Wearable and Information Technologies

    Get PDF
    In Europe, Cardiovascular Diseases (CVD) are the leading source of death, causing 45% of all deceases. Besides, Heart Failure, the paradigm of CVD, mainly affects people older than 65. In the current aging society, the European MyHeart Project was created, whose mission is to empower citizens to fight CVD by leading a preventive lifestyle and being able to be diagnosed at an early stage. This paper presents the development of a Heart Failure Management System, based on daily monitoring of Vital Body Signals, with wearable and mobile technologies, for the continuous assessment of this chronic disease. The System makes use of the latest technologies for monitoring heart condition, both with wearable garments (e.g. for measuring ECG and Respiration); and portable devices (such as Weight Scale and Blood Pressure Cuff) both with Bluetooth capabilitie

    Clinical validation of a wearable system for emotional recognition based on biosignals.

    Get PDF
    The AUBADE system can be trained to classify a subject’s feelings into six different emotional classes, derived from three of the basic emotions (happiness, disgust and fear). The performance of different classifiers was examined. Biosignals were recorded from 24 healthy subjects who viewed pictures designed to invoke different emotional responses. A psychologist evaluated the emotional status of the subjects by looking at their faces. During the training stage, information from 15 subjects was used to teach the system how to discriminate the emotional status of the subject based on the biosignals provided as input. A subset of the data was used for comparing the performance of four different classifiers. They were evaluated using three different metrics: sensitivity, positive predictive accuracy and accuracy. Using the SVM classifier, the AUBADE system provided sensitivities in the range 63–81%. The positive predictive accuracy was in the range 71–95%. The accuracy was in the range 63–83%, depending on the emotional class considered. The work paves the way for remote telemonitoring of patients suffering from neurological diseases

    User centered design to incorporate predictive models for type 2 Diabetes screening and management into professional decision support tools: preliminary results

    Get PDF
    Type 2 Diabetes screening and risk stratification tools could benefit from the incorporation of predictive systems based on computer modelling. The adoption of User Centered Design techniques is fundamental in order to integrate these systems in an effective and successful way. The work presented in this paper describe the methodologies used in the context of a multidisciplinary research project and provides an overview of the preliminary results. Keywords? User Centered Design, Predictive Modelling and Data Mining, Diabetes Screening and Risk Stratification, Decision Support Tools

    Preliminary results of ON/OFF detection using an integrated system for Parkinson's disease monitoring

    Full text link
    This paper describes the experimental set up of a system composed by a set of wearable sensors devices for the recording of the motion signals and software algorithms for the signal analysis. This system is able to automatically detect and assess the severity of bradykinesia, tremor, dyskinesia and akinesia motor symptoms. Based on the assessment of the akinesia, the ON-OFF status of the patient is determined for each moment. The assessment performed through the automatic evaluation of the akinesia is compared with the status reported by the patients in their diaries. Preliminary results with a total recording period of 32 hours with two PD patients are presented, where a good correspondence (88.2 +/- 3.7 %) was observed. Best (93.7 por ciento) and worst (87 por ciento) correlation results are illustrated, together with the analysis of the automatic assessment of the akinesia symptom leading to the status determination. The results obtained are promising, and if confirmed with further data, this automatic assessment of PD motor symptoms will lead to a better adjustment of medication dosages and timing, cost savings and an improved quality of life of the patients

    Feasibility of a wireless health monitoring system for prevention and health assessment of elderly people

    Full text link
    The work presented in this paper comprises the methodology and results of a pilot study on the feasibility of a wireless health monitoring system designed under main EU challenges for the promotion of healthy and active ageing. The system is focused on health assessment, prevention and lifestyle promotion of elderly people. Over a hundred participants including elderly users and caregivers tested the system in four pilot sites across Europe. Tests covered several scenarios in senior centers and real home environments, including performance and usability assessment. Results indicated strong satisfactoriness on usability, usefulness and user friendliness, and the acceptable level of reliability obtained supports future investigation on the same direction for further improvement and transfer of conclusions to the real world in the healthcare delivery

    HeartCycle: User interaction and patient education

    Get PDF
    Cardiovascular Diseases are the most prevalent and serious chronic conditions existing nowadays. They are the primary cause of death in the world and generate enormous expenditures to the health systems. Tele-monitoring and personal health systems have proven to be good options for tackling this situation; however they are still lacking many functionalities. It is necessary to find solutions that allow health professionals to follow up patients more closely and efficiently, while reducing the non-adherence of patients to the treatment regime. HeartCycle research project (partially funded by the European Commission) has developed a personal health system for cardiovascular diseases management with the aim to address this problem. This paper describes the Patient Loop of this solution, including the different components, the adopted user interaction, and the implemented patients education and coaching strategy

    A User Centered Design Approach for Patient Interfaces to a Diabetes IT Platform

    Full text link
    Improving patient self-management can have a greater impact than improving any clinical treatment (WHO). We propose here a systematic and comprehensive user centered design approach for delivering a technological platform for diabetes disease management. The system was developed under the METABO research project framework, involving patients from 3 different clinical centers in Parma, Modena and Madrid
    corecore