11,618 research outputs found

    Personal heart monitoring and rehabilitation system using smart phones

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    This paper discusses a personalized heart monitoring system using smart phones and wireless (bio) sensors. Based on several scenarios we present the functionality of a prototype we have built. The application is capable of monitoring the health of high risk cardiac patients. The smart phone application analyses in real-time sensor and environmental data and can automatically alert the ambulance and pre assigned caregivers when a heart patient is in danger. It also transmits sensor data to a healthcare centre for remote monitoring by a nurse or cardiologist. The system can be personalized and rehabilitation programs can monitor the progress of a patient. Rehabilitation programs can be used to give advice (e.g. exercise more) or to reassure the patient. © 2006 IEEE

    M-health review: joining up healthcare in a wireless world

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    In recent years, there has been a huge increase in the use of information and communication technologies (ICT) to deliver health and social care. This trend is bound to continue as providers (whether public or private) strive to deliver better care to more people under conditions of severe budgetary constraint

    Personalised mobile services supporting the implementation of clinical guidelines

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    Telemonitoring is emerging as a compelling application of Body Area Networks (BANs). We describe two health BAN systems developed respectively by a European team and an Australian team and discuss some issues encountered relating to formalization of clinical knowledge to support real-time analysis and interpretation of BAN data. Our example application is an evidence-based telemonitoring and teletreatment application for home-based rehabilitation. The application is intended to support implementation of a clinical guideline for cardiac rehabilitation following myocardial infarction. In addition to this the proposal is to establish the patient’s individual baseline risk profile and, by real-time analysis of BAN data, continually re-assess the current risk level in order to give timely personalised feedback. Static and dynamic risk factors are derived from literature. Many sources express evidence probabilistically, suggesting a requirement for reasoning with uncertainty; elsewhere evidence requires qualitative reasoning: both familiar modes of reasoning in KBSs. However even at this knowledge acquisition stage some issues arise concerning how best to apply the clinical evidence. Furthermore, in cases where insufficient clinical evidence is currently available, telemonitoring can yield large collections of clinical data with the potential for data mining in order to furnish more statistically powerful and accurate clinical evidence

    Increasing the Capacity of Primary Care Through Enabling Technology.

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    Primary care is the foundation of effective and high-quality health care. The role of primary care clinicians has expanded to encompass coordination of care across multiple providers and management of more patients with complex conditions. Enabling technology has the potential to expand the capacity for primary care clinicians to provide integrated, accessible care that channels expertise to the patient and brings specialty consultations into the primary care clinic. Furthermore, technology offers opportunities to engage patients in advancing their health through improved communication and enhanced self-management of chronic conditions. This paper describes enabling technologies in four domains (the body, the home, the community, and the primary care clinic) that can support the critical role primary care clinicians play in the health care system. It also identifies challenges to incorporating these technologies into primary care clinics, care processes, and workflow

    A new track for technology: Can ICT take care for healthier lifestyles?

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    The paper takes a look on potential contribution of Information and Communication Technologies to abate public health challenges caused by demographics and lifestyle. From the current convergence of mhealth, and sport market products emerge targeting normal athletes to control their training in a quantified manner. The resulting feedback and transparency foster a healthier lifestyle. These products and services help overcome limitations to innovation typical to the health care market. The paper is based on research by the European Commission's Institute for Prospective Technological Studies on Integrated Personal Health/Care services. --eHealth,Integrated Personal Health/Care services,sport,training,lifestyle related disease,innovation

    Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour

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    Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial

    A Mobile rehabilitation application for the remote monitoring of cardiac patients after a heart attack or a coronary bypass surgery

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    This paper describes a personalised rehabilitation application using a smart phone (PDA) and wireless (bio) sensors. It instructs and motivates patients to follow their exercise programme and keeps track of their progress. It also monitors the relevant biosignals and provides immediate feedback to the patient. Sensors transmit data to the mobile phone where it is analysed locally and the data can also be instantaneously transmitted to a healthcare centre for remote monitoring by a health professional. The rehabilitation application is personalised for each cardiac patient and provides tailored advice (e.g. exercise more, slow down). A trial with a rehabilitation centre is in progress in which we investigate whether the personalised rehabilitation application improves the success of the rehabilitation programme in terms of patient compliance with recommended life style changes (such as increase physical activity or lose weight) and whether use of the system brings peace of mind to cardiac patients. Copyright 2009 ACM
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