Ramona Rednic

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This letter introduces MercuryLive, a platform to enable home monitoring of patients with Parkinson's disease (PD) using wearable sensors. MercuryLive contains three tiers: a resource-aware data collection engine that relies upon wearable sensors, web services for live streaming and storage of sensor data, and a web-based graphical user interface client(More)
Objective long-term health monitoring can improve the clinical management of several medical conditions ranging from cardiopulmonary diseases to motor disorders. In this paper, we present our work toward the development of a home-monitoring system. The system is currently used to monitor patients with Parkinson's disease who experience severe motor(More)
This paper presents the application scenario, conceptual overview and implementation of a monitoring system targeted at monitoring EOD suit wearers during missions. The system's aim is to deliver prediction of heat stress risk in the operative and provide actuation of a cooling system integrated within the suit. Prior work established that such prediction(More)
The paper proposes an information generation and summarisation algorithm to detect behavioural change in applications such as long-term monitoring of vulnerable people. The algorithm learns the monitored subject's behaviour autonomously post-deployment and provides time-suppressed summaries of the activity types engaged with by the subject over the course(More)
Energy, both in terms of its production and its usage has occupied a prime place in research as well as politics and world economy for the past few years. The majority of nations are aiming to deliver severe carbon cuts in the next few years. However, achieving a carbon-free future needs more than infrastructure investment and novel efficient technologies(More)
This paper presents an investigation into the design space for real-time, wearable posture classification systems; specifically, it analyses the impact of various factors/design choices on classification accuracy when using C4.5 decision trees. The factors can be broadly divided into: 1) system factors (such as sensor sampling rate and number of sensors(More)
Few Body Sensor Network (BSN) based posture classification systems have been fielded to date, despite laboratory based research work confirming their theoretical suitability for a range of applications. This paper reports and reflects on two algorithms which i) improve the accuracy of real-time, multi-accelerometer based posture classifiers when dealing(More)
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