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Heart failure (HF) is an escalating public health problem, with few effective methods for home monitoring. In HF management, the important clinical factors to monitor include symptoms, fluid status, cardiac output, and blood pressure — based on these factors, inotrope and diuretic dosages are adjusted day-by-day to control the disorder and improve the patient's status towards a successful discharge...
The objective evaluation of depressive mood is thought to be useful for the diagnosis and treatment of depressive disorders. Thus, we investigated psychobehavioral correlates, particularly the statistical associations between momentary depressive mood and behavioral dynamics measured objectively, in patients with major depressive disorder (MDD). Patients with MDD (n = 14) wore a watch-type computer...
Non-destructive monitoring of tissue-engineered cartilage growth is needed to optimize growth conditions, but extracting quantitative biomarkers of extracellular matrix development remains a technical challenge. MRI provides a non-invasive way to obtain a three dimensional map of growing tissue where the image contrast is based on tissue water relaxation times and the apparent diffusion coefficient...
This paper presents a new approach for analyzing center of pressure (COP) progression using pressure data collected from a pressure-sensitive array placed under the bed mattress. Pressure data were collected from a young female participant who was healthy and an older 78 year old female participant who had a history of falls. Information relevant to movement direction, time, path trajectory, magnitude...
COPD is associated with a gradual decline in physical activity, which itself contributes to a worsening of the underlying condition. Strategies that improve physical activity levels are critical to halt this cycle. Wearable sensor based activity monitoring and persuasive feedback might offer a potential solution. However it is not clear just how much intervention might be needed in this regard — i...
In this paper we present a new method for passively measuring walking speed using a small array of radio transceivers positioned on the walls of a hallway within a home. As a person walks between a radio transmitter and a receiver, the received signal strength (RSS) detected by the receiver changes in a repeatable pattern that may be used to estimate walking speed without the need for the person to...
Network traffic intrusions increase day by day in computer systems. This poses major security threats to computer networks. In this paper, we present an effective approach for anomaly detection in network traffic. We investigate the long-range dependence (LRD) behavior of decomposed network traffic subgroups in different directions with respect the enterprise network. If the network traffic exhibits...
In this paper, we propose a new method for foreground ex- traction of underwater videos based on sparse and low-rank matrix de- composition. By stacking the underwater video frames as columns of a matrix, principal component pursuit algorithm is used for decompos- ing the matrix into a low-rank matrix representing the stationary back- ground and a sparse matrix representing the activities in the foreground...
Human behavioral interventions aimed at improving health can benefit from objective wearable sensor data and mathematical models. Smartphone-based sensing is particularly practical for monitoring behavioral patterns because smartphones are fairly common, are carried by individuals throughout their daily lives, offer a variety of sensing modalities, and can facilitate various forms of user feedback...
Poor sleep quality is associated with chronic diseases, weight increase and cognitive dysfunction. Home monitoring solutions offer the possibility of offering tailored sleep coaching interventions. There are several new commercially available devices for tracking sleep, and although they have been tested in sleep laboratories, little is known about the errors associated with the use in the home. To...
There exist corresponding relationships of state information between the suspension points of the maglev train. This essay carries on the statistics of monitoring data of all the suspension points, describes the distributed situation of the suspension points data frequently spotted in engineering practices, detects suspect values and abnormal values in the suspension system based on the steady estimator...
This research explored whether robots can use modern speech synthesizers to convey emotion with their speech. We investigated the use of MARY, an open source speech synthesizer, to convey a robot's emotional intent to novice robot users. The first experiment indicated that participants were able to distinguish the intended emotions of anger, calm, fear, and sadness with success rates of 65.9%, 68...
The purpose of this study is the design and development of the supporting environment that attempts to improve skipping-rope form of unlearned performers. We focus on monitoring four body parts based on image processing technology. We also propose values of threshold in image processing for each part but they are subject to change as the study progresses. This study also integrates feedback information...
Train positioning is a fundamental function which is required by many location-based railway applications. The rapid development of satellite navigation technology enables a better cost-effectiveness for the safety-critical railway train control systems. When using BDS (BeiDou Navigation Satellite System) in train control, it has to be ensured the positioning module takes full consideration of the...
Understanding the states of learners at a lecture is useful for improving the quality of the lecture. A video camera with an infrared sensor Kinect has been widely studied and proved to be useful for some kinds of activity recognition. However, learners in a lecture usually do not act with large moving. This paper evaluates Kinect for use of activity recognition of learners. The authors considered...
Agent-based support systems are used to help people with developing and maintaining a healthy lifestyle. Interventions on the social network of an individual could play a role in achieving behaviour change. In this paper, a method for finding effective network interventions to influence specific individuals is proposed. The effect of these interventions was analysed by simulating the diffusion of...
Self-regulated learning (SRL) has positive effects on learners' success in and beyond school, and it may be fostered by technology enhanced learning environments, especially ePortfolio platform. However, the lack of explicit technological models leads to challenges in fostering SRL, such as capturing and sharing SRL principles, creating a platform for SRL's processes implementation. The purpose of...
Unlike the current Internet where applications have little control over the path that their data travels, emerging network architectures enable applications to control the path their packets/flows take. Although an application can select its paths, providing an application with the up-to-date information needed to make an informed decision is a difficult problem. In particular, monitoring (i.e., collecting...
This paper proposes a divide-and-conquer method to synthesize non-blocking supervisors for a class of generalized Petri nets, namely G-system. A novel deadlock prevention method is presented by utilizing the reachability graph (RG). Due to the RG of a large Petri net model (PNM) easily becomes unmanageable, an optimal non-blocking supervisor based on RG becomes a challenging problem in a generalized...
Activity monitoring is used in a number of fields in order to assess the physical activity of the user. Applications include health and well-being, rehabilitation and enhancing independent living. Data are often gathered from multiple accelerometers and analysis focuses on multi-parametric classification. For longer term monitoring this is unsuitable and it is desirable to develop a method for the...
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