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We report on a smart microfluidic system with multiple micro sensors integrated in the channel. It consists of a standard PDMS channel, and a smart substrate which has six bubble pressure sensors and a flow sensor all based on electrochemical impedance methods. This system will allow, for the first time, directly and simultaneously monitoring of multiple parameters in the channel of microfluidic systems,...
At present, the diagnosis of sleep apnea syndrome requires patients to wear the PSG sensors all night long in hospital, which is so inconvenient and expensive that millions of sleep apnea patients can't receive diagnosis and treatment. We propose a low-cost sleep monitoring device to be used at the comfort of home based on photoplethysmography (PPG) with only single photoelectric sensor, which can...
Nowadays bad adaptive performance of network intrusion prevention system (IPS) becomes the bottleneck of its development in face of complex and fickle attacks. The idea of cognitive network intrusion prevention is creatively put forward to solve the problem in this paper. Three basic problems of the cognitive IPS, knowledge representation, environmental perception and self-learning, are discussed...
As an essential branch of context awareness, activity awareness, especially daily activity monitoring and fall detection, is important to healthcare for the elderly and patients with chronic diseases. In this paper, a framework for activity awareness using surface electromyography and accelerometer (ACC) signals is proposed. First, histogram negative entropy was employed to determine the start- and...
“Musica delenit bestiam feram” translates into “Music soothes the savage beast”. There is a hidden truth in this ancient quip passed down from generations. Besides soothing the heart, it also incites the heart to a healthier level of heart rate variability (HRV). In this paper, an approach to use and test music and biofeedback to increase the heart rate variability for people facing daily stress is...
Wireless sensor devices have applications for use in monitoring signals from the human body such as the electrocardiograph (ECG) and accelerometer data which contain vital information for an individual engaging in exercise. From ECG sensors and accelerometers, a person's heart rate and motion can be straightforwardly computed. However, little research is being conducted in the utilization of such...
A tele-medical approach for monitoring and detecting prolonging QT-intervals via cellular equipments is proposed in this paper. Currently, the procedures for detecting Longed QT Syndrome (LQTS) involves taking a 1 time preliminary prognosis followed by a comprehensive long time hospital or laboratory bound monitoring; the latter is only conducted if and only if the former is tested positive. However,...
In this paper, we propose to provide a better way to monitor one's cardiac health status given today's array of exercise monitors. Built on top of our existing MobiCare technology and using an adaptation of the Fox and Haskell formula for exercise, we have set up an exercise monitor on the mobile phone that will help an individual achieve a certain goal that he or she wants from doing exercise. It...
Given that wearable sensors that are attached on patients for the purpose of continuous real-time medical monitoring typically need to remain operational for periods of up to 24 hours before a battery change or recharge, power preservation schemes play a critical role in minimizing any possible disruption to a patient's daily activities. In this paper, we propose a motion-based wake-up scheme, a feature...
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