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Hospitals aim at an extensive continuous monitoring of patients. This enables the personal to check the conditions of a patient anywhere at any given time and allows them to immediately react to anomalies and emergencies. The same technology can be used to instantaneously visualize available patient data using augmented reality techniques.
To meet the increasing needs of home-based healthcare, we propose a novel networked low-cost and wearable healthcare monitoring system, namely TCM-PCA, for pulse analysis in Traditional Chinese Medicine(TCM). The unique innovations of the system are as follows: (1) We propose a novel adaptive features extraction algorithm for pulse waveform to improve physiological feature extraction accuracy of sensed...
In this paper, we present the experimental results and evaluation of the Smart Box stimulation device for e-learning and medical applications in a P2P system which is based on JXTA-Overlay. The Smart Box is integrated with our P2P system as a useful tool for monitoring and controlling learners or patients activities. We found by experimental results that by Smart Box we can increase the learner's...
Homecare services have started adopting - during the last few years - a new provision model, based on wireless technologies, in order to support healthcare provision decentralisation and eInclusion. However, this new homecare service provision model raises several issues regarding the credibility of the data transmitted. From the plethora of available technologies to support the formulation of WPAN...
The increasingly ageing population and the healthcare expenses explosion urge for innovative solutions strongly related to prevention, improvement of quality of life and maintaining an independent life as long as possible. Therefore, the core of the BIOTELEKINESY project is to provide an innovative ICT based interface with a holistic approach to detect and prevent as early as possible in the daily...
Until recent years most research involving the capture and analysis of biometric and/or physiological signals have been limited to a laboratory or otherwise controlled environment. Wearable technologies introduced a refinement to personal signal capturing by permitting a long-term on-person approach. Sensors, integrated circuits, textile integration and other elements are directly responsible for...
Continuous monitoring of respiratory activity is mandatory in clinical, high risk situations such as ambulatory monitoring, intensive care, stress tests and sleep disorder investigations. Extraction of surrogate respiratory activity from electrocardiogram (ECG), blood pressure (BP) and photoplethysmographic (PPG) signals will potentially eliminate the use of additional sensor intended to record respiration...
mHealth systems are becoming very attractive for the home care monitoring and, in particular, for the monitoring of patients with heart failure. Knowledge-based technologies can be profitably used to design advanced software system able to provide efficient and dependable service to patients and physicians. In this paper we present a Rule-based Decision Support System for mHealth environments; the...
The left-ventricular stroke volume is an important direct indicator of the heart efficiency and perfusion of the vessels. Currently a valid measurement of the beat volume can only be implemented by invasive measurements procedures at the hospitals worldwide. Arterial catheterization is limited to intensive care unit (ICU) usage, costly and potential risky. Some available noninvasive methods yield...
The paper presents CaszOxiSys, a real-time system for monitoring and analyzing physiological signals during fitness activity. CaszOxiSys consists of non-invasive pair of physiological sensor (light-emitting diode & photodiode) wirelessly connected through Bluetooth to a netbook or laptop which analyses physiological data and presents it to the user in an intelligible and informative way. This...
H@H (Health at Home) is a web based monitoring system for de-hospitalization of patients suffering from chronic diseases, ensuring continuous assistance by monitoring, interaction and home therapy. Patients can greatly benefit from continuous in home monitoring of vital status via a patient monitoring system that integrates vital sign sensors, video communication with physicians and medical gases...
The aim of this work is to put forth some basic methodological aspects that are being followed in the demanding task of the development of a telemedical platform for the efficient control and management of chronic elderly patients. Among the main methodological concepts proposed there is: an integrated market-oriented approach, a user-centered design, an evaluation-driven development and a work plan...
Here we present the fabrication and the performance of a novel, wearable, robust, flexible and disposable micro-fluidic device which incorporates miniature optical components as a detection system, for wireless monitoring in real time mode of sweat pH during an exercise session. This micro-fluidic platform is completely non-invasive, with the great advantage of providing a continuous flow of fresh...
This paper presents an architecture for home telemonitoring scenarios based on ontology model solution. It can be divided into physical and conceptual layer. In the conceptual layer, the ontology is used as a common knowledge representation of involved data in the telemonitoring process. In this way, a formal solution to integrate information in both end sites of a telemonitoring scenario and also...
This paper presents an ontology proposal to manage individual profiles for patients follow-up in home telemonitoring scenarios. It provides a formal structure with a clear semantics used as a common knowledge to exchange information among the entities involved in the telemonitoring process, thus supporting health information interoperability. Monitoring guidelines, risk situations, reminders, clinical...
Daily monitoring of health condition at home is important for an effective scheme for early diagnosis, treatment and prevention of lifestyle-related diseases such as adiposis, diabetes and cardiovascular diseases. While a number of commercially available devices for home healthcare monitoring are widely used, those are actually cumbersome in terms of self-attachment of biological sensors and self-operation...
In this paper we employ the Matching Pursuit algorithm in order to obtain compact time-frequency representations of ECG data, which are then utilized from an ANN to achieve beat classification. To obtain optimum performance, the effect of the following attributes on the classification performance is examined: number of atoms, type of wavelet and number of ECG samples around the R peak. Our goal is...
Countries under development have recently benefited from the emergence of networked communities operating in an infrastructure poor environment. We describe a WSN protocol for monitoring quality of life in such networked communities. The protocol bridges a IEEE 802.15.4 to a IEEE 802.11 network using a presence advertising algorithm.
The emergence of Wireless Sensor Networks (WSNs) have introduced a new research area known as Body Sensor Networks (BSNs) that hold great promises to facilitate various pervasive monitoring services ranging from home automation, to remote healthcare and military surveillance. The performance of this resource-constrained network, is however, highly restricted by its error-prone characteristic, resulting...
Assessing the progress made during post-traumatic rehabilitation does not always involve monitoring tools which allow to objectively record the rehabilitation activity and its comparison with a standard activity. IMUs (Inertial Measurement Units) are often used in this area for assessing a specific movement which is relevant to the diagnosis of a particular disease or trauma. The evaluation is predominantly...
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