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Innovative wellness gadgets are the products of convergence of science and technology in this dynamic digital era. It has not been possible before to provide just-in-time intervention to avoid unhealthy behavior. The change in behavior requires the understanding of the behavior theories and then practical implementation of the stages. Transtheoretical model supports to identify the stage of human...
Ageing populations and the increase in chronic diseases all over the world demand efficient healthcare solutions for maintaining well-being of people. One strategy that has drawn significant research attention is a focus on remote health monitoring systems based on Internet of Things (IoT) technology. This concept can help decrease pressure on hospital systems and healthcare providers, reduce healthcare...
Prediction of Chronic Disorders in early stage is very vital. IoT facilitated remote health monitoring system has enormous benefits over customary health monitoring system. It is imperative to accumulate correct raw data in an efficient way; but more significant is to explore and mine the raw data to abstract more valued information such as correlations amongst things and services to afford web of...
The explosion of smaller and more powerful wearable sensing devices has allowed us to continually record and quantify our lives. Undertaking such activities is becoming very popular and has grown into a community called the Quantified Self (QS). Utilizing this outlet has the potential to benefit many aspects of our lives and is gaining momentum within the health sector. However, whilst we can easily...
We present an example of unobtrusive, continuous monitoring in the home for the purpose of assessing early health changes. Sensors embedded in the environment capture behavior and activity patterns. Changes in patterns are detected as potential signs of changing health. We first present results of a preliminary study investigating 22 features extracted from in-home sensor data. A 1-D alert algorithm...
Behavioural and psychological symptoms of dementia (BPSD) are complex array of symptoms that have devastating impact on patients, carers and their loved ones. In this paper we argue that with the combined use of pervasive computing and big data, we could make significant progress in the diagnosis of the causes of BPSD, monitoring response to treatment and helping in the prevention of these symptoms...
Intensive Care Unit is extremely useful for providing health care to critically ill patients for their speedy recovery. An Intensive Care Unit (ICU) consists of multiple life saving machines which are continuously recording vital organs of patients and generating vast data at very high frequency. A context aware based real time monitoring system is extremely useful in the modern era of bio-medical...
Sensor-based intelligent and ubiquitous systems are important in the context of "Intelligent Infrastructures''. In this scenario, healthcare is one area where sensors and mobile platforms will become more useful and the application must have the capability of analysing the data feeds from sensors to extract useful meanings. Various data analytics methods such as data-mining techniques or stream...
Neural Engineering is a new discipline which unites engineering, computer science, physics, chemistry, and mathematics with cellular, molecular, cognitive and behavioral neurosciences, to understand the organizational principles and underlying mechanisms of the biology of neural systems, and to study the behavior dynamics and complexities of neural systems in nature. Therefore, it deals with many...
Extra-corporal Circulation Support Systems (ECCS) are used in cardiac surgery on a daily basis. Surgeons and perfusionists supervise patients' vital signals such as heart rate or blood pressure and ensure secure and errorless operation of the ECCS. Latest developments clear the way to use an ECCS for emergency circulatory resuscitation in non-clinical environments, even when trained staff is sparse...
The PERFORM project is funded under EC FP7 Program and aims to provide a platform for the remote health status monitoring, classification & modeling, and the personalisation treatment of patient suffering from Parkinson's disease (PD) and Amyotrophic Lateral Sclerosis (ALS). The remote monitoring of neurodegenerative disease evolution is achieved via micro-sensors worn by the patients at home,...
The deployment of wearable health monitoring systems (WHMS) is expected to address several important healthcare-related issues such as increasing healthcare costs, the rising number of the elderly population and treatment of chronic conditions. However, most of the currently developed WHMS simply serve as ambulatory physiological data loggers and transmitters in order to make the recorded bio-signals...
CHRONIOUS project contributions supports the design and the development of an open architecture monitoring platform aiming on the detailed description of patient's health status focusing on people with chronic diseases. Essential modules of the CHRONIOUS system are the wearable platform responsible for the collection of several vital body signs, environmental, context and patient's activity signals...
Monitoring activities of daily living is one of the key functionalities expected from a Smart Living environment providing independent living services for elderly people. Simple state-change sensors have been considered to be a promising sensing technique to observe the environment and consequently provide the data required to form the basis to infer high-level behaviours. From a data analysis point...
Continuous monitoring of eating habits could be useful in preventing lifestyle diseases such as the metabolic syndrome. Conventional methods consist in self-reporting and mastication frequency calculation from myoelectric potential of the masseter muscle, both resulting in a significant burden for the user. We developed a non-invasive wearable sensing system that can record eating habits over a long...
Integration of portable, energy efficient computing devices with clothing results in possibilities of wear-ware. Wearable network is composed of all these tiny interactive devices, which is highly appealing now a day's. A wearable body area network (WBAN) is the emerging technology that is developed for wearable monitoring application. WBAN revolutionized wearable computers communication with their...
This paper introduces a conceptual framework and process that aims to simplify the development of applications for mobile devices. We specialize on the domain of health monitoring by providing a whole system that would allow people to model their own mobile health monitoring applications in a simplified manner without dealing with low-level coding themselves.
In the present work, we introduce Fallarm, a pervasive fall prevention solution suitable for hospitals and care facilities, as well as for home settings. We applied a multifaceted intervention strategy based on closed-loop information exchange between proactive and reactive methods: comprehensive assessment protocols determine the individuals' risk of falling; an innovative device continuously monitors...
In this work we describe a system for the monitoring and management of patients with neurodegenerative diseases, focusing on Parkinson's Disease and Amyotrophic Lateral Sclerosis. The system exploits a single wearable sensors' setting to detect and quantify all patient symptoms. An easy to use touchscreen interface allows patients and caregivers to provide additional useful information and assist...
In this work we describe a system for the monitoring and management of patients with neurodegenerative diseases, focusing on Parkinson's Disease and Amyotrophic Lateral Sclerosis. The system exploits a single wearable sensors' setting to detect and quantify all patient symptoms. An easy to use touchscreen interface allows patients and caregivers to provide additional useful information and assist...
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