Joanna Fursse

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BACKGROUND Changes in daily habits can provide important information regarding the overall health status of an individual. This research aimed to determine how meaningful information may be extracted from limited sensor data and transformed to provide clear visualization for the clinicians who must use and interact with the data and make judgments on the(More)
We have investigated the use of telemonitoring in three long-term conditions: chronic heart failure (CHF), type 2 diabetes and essential hypertension. Participants were provided with a home telemonitoring unit for a 12-week period and entered physiological data each day. The data were sent automatically via the participant's telephone line to a server and(More)
This study presents a novel dynamic threshold algorithm that is applied to daily self-measured SpO<sub>2</sub> data for management of chronic obstructive pulmonary disease (COPD) patients in remote patient monitoring to improve accuracy of detection of exacerbation. Conventional approaches based on a fixed threshold applied to a single SpO<sub>2</sub>(More)
BACKGROUND Telehealth solutions can improve the safety of ambulatory chemotherapy, contributing to the maintenance of patients at their home, hence improving their well-being, all the while reducing health care costs. There is, however, need for a practicable multilevel monitoring solution, encompassing relevant outputs involved in the pathophysiology of(More)
We describe our experiences of using remote patient monitoring to support the long term management and clinical intervention in patients with chronic disease. Within the project we developed new algorithms to determine from vital signs collected on a daily basis, those patients requiring clinical investigation for their condition. Our aim was for patients(More)
AIM We present a computerized system for the assessment of the long-term risk of developing diabetes-related complications. METHODS The core of the system consists of a set of predictive models, developed through a data-mining/machine-learning approach, which are able to evaluate individual patient profiles and provide personalized risk assessments.(More)
We present experience of implementing and evaluating a platform purpose designed to integrate interoperable telehealth and telecare. We chose the IEEE 11073 standards for all devices and used ZigBee wireless to support many devices concurrently and exploit its mesh networking to extend range around the entire house. We designed the home gateway to be(More)
OBJECTIVE To evaluate the cost-effectiveness of a pilot telehealth program applied to a wide population of patients with chronic obstructive pulmonary disease (COPD). DESIGN Vital signs data were transmitted from the home of the patient on a daily basis using a patient monitoring system for review by community nurse to assist decisions on management. (More)