Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining.

Hypertension is one of the most common cardiovascular diseases, which will cause severe complications if not treated in a timely way. Early and accurate identification of hypertension is essential to prevent the condition from deteriorating further. As a kind of complex physiological state, hypertension is hard to characterize accurately.

Multiscale Fine-Grained Heart Rate Variability Analysis for Recognizing the Severity of Hypertension.

Hypertension is a common and chronic disease and causes severe damage to patients' health. Blood pressure of a human being is controlled by the autonomic nervous system. Heart rate variability (HRV) is an impact of the autonomic nervous system and an indicator of the balance of the cardiac sympathetic nerve and vagus nerve.

Assessing the severity of sleep apnea syndrome based on ballistocardiogram.

Background: Sleep Apnea Syndrome (SAS) is a common sleep-related breathing disorder, which affects about 4-7% males and 2-4% females all around the world. Different approaches have been adopted to diagnose SAS and measure its severity, including the gold standard Polysomnography (PSG) in sleep study field as well as several alternative techniques such as single-channel ECG, pulse oximeter and so on. However, many shortcomings still limit their generalization in home environment.

Intelligent emission-sensitive routing for plugin hybrid electric vehicles.

The existing transportation sector creates heavily environmental impacts and is a prime cause for the current climate change. The need to reduce emissions from this sector has stimulated efforts to speed up the application of electric vehicles (EVs). A subset of EVs, called plug-in hybrid electric vehicles (PHEVs), backup batteries with combustion engine, which makes PHEVs have a comparable driving range to conventional vehicles.

Identifying sleep apnea syndrome using heart rate and breathing effort variation analysis based on ballistocardiography.

Sleep apnea syndrome (SAS) is regarded as one of the most common sleep-related breathing disorders, which can severely affect sleep quality. Since SAS is usually accompanied with the cyclical heart rate variation (HRV), many studies have been conducted on heart rate (HR) to identify it at an earlier stage. While most related work mainly based on clinical devices or signals (e.

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis.

Social media is becoming a new battlefield for tobacco "wars". Evaluating the current situation is very crucial for the advocacy of tobacco control in the age of social media. To reveal the impact of tobacco-related user-generated content, this paper characterizes user interaction and social influence utilizing social network analysis and information theoretic approaches.

Exploring how the tobacco industry presents and promotes itself in social media.

Background: The commercial potential of social media is utilized by tobacco manufacturers and vendors for tobacco promotion online. However, the prevalence and promotional strategies of pro-tobacco content in social media are still not widely understood.

Objective: The goal of this study was to reveal what is presented by the tobacco industry, and how it promotes itself, on social media sites.

PM2: a partitioning-mining-measuring method for identifying progressive changes in older adults' sleeping activity.

As people age, their health typically declines, resulting in difficulty in performing daily activities. Sleep-related problems are common issues with older adults, including shifts in circadian rhythms. A detection method is proposed to identify progressive changes in sleeping activity using a three-step process: partitioning, mining, and measuring.