An information and knowledge society creates value by gathering, processing, evaluating, and sharing digital products and services. Knowledge society relies on emerging technologies with intelligence and automation for information and communication ...

Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features. There is a resurgence of interest in developing more accurate prediction models for time-to-...

Asthma is a common inflammatory condition affecting more than 7 million children in US alone, and tens of millions more globally. Despite effective preventive medications, medication adherence in children and adolescents is often below 50% [1].

In ...

The age distribution has changed in Europe over the last decade. The group of 45 year-olds and above has increased and the median age in the EU is estimated to increase by 4.5 years during the next 3 decades reaching a median age of approximately 48.2 ...

Healthcare cognitive assistants (HCAs) are intelligent systems or agents that interact with users in a context-aware and adaptive manner to improve their health outcomes by augmenting their cognitive abilities or complementing a cognitive impairment. ...

This article presents an in-depth experimental study of Ensemble Deep Learning techniques on small datasets for the analysis of time-series data generated by wearable devices. Deep Learning networks generally require large datasets for training. In some ...

Cardiovascular disorders cause nearly one in three deaths in the United States. Short- and long-term care for these disorders is often determined in short-term settings. However, these decisions are made with minimal longitudinal and long-term data. To ...

Core body temperature is an important indicator of medical treatment. Sudden changes in core body temperature can be a precursor to neurodegenerative diseases such as Parkinson's disease. These diseases have the potential to strike at any time, ...

Smart health exploits smart health devices (e.g., fitness trackers, heart rate or glucose monitoring units) and Internet of Things technologies to improve users' health and wellness. By enabling self-monitoring and data sharing among users and ...

Innovations in healthcare have introduced a radical change in medical environment including patient diagnostic data and patient biological signal facilities and processing. The adoption of telemedicine services usually leads to an incremental trend in ...

Internet of Things (IoT) is one of the leading technologies in the IT field. All the industries are trying to employ the advantages of this technology by integrating it in different functions. Healthcare is one of the top industries that saw the ...

Effective at-home rehabilitation of both upper and lower extremities is important for regaining proficiency in activities of daily living (ADLs) post-stroke. We introduce ARMove, a smartphone augmented reality (AR) exergaming system for upper and lower ...

Effective home rehabilitation is important for recovery of hand grip ability in post-stroke individuals. This paper presents BIGHand, a bilateral, integrated, and gamified handgrip stroke rehabilitation system for independent at-home exercise. BIGHand ...

Care has evolved in a very important way in the last decade by diversifying modes and practices, which has led to an advent in smart health. However, projects that address health in smart homes are still in the experimental stage with mixed and ...

The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are augmented with computational and wireless communication capabilities, typically through the incorporation of resource-constrained devices including sensors and ...

We study the authentication of the heart rate (HR) signal and we present HR-Auth, an algorithm to authenticate HR data using two independent wearable sensors. We describe and evaluate the proposed algorithm.

Recent development of wearable sensor technologies have made it possible to capture concurrent data streams for ambient environment and instantaneous physiological stress response at a fine granularity. Characterizing the delay in physiological stress ...

Textual health advice generated from different online sources (e.g., health apps and websites) can be conflicting. Conflicts can occur due to lexical features, (such as, negation, antonyms, or numerical mismatch) or can be conditioned upon time and/or ...

With the rapid changes in the food variety and lifestyles, many people are facing the problem of making healthier food decisions to reduce the risk of chronic diseases such as obesity and diabetes. To this end, our recommender system not only offers ...

Due to the extensive growth of food varieties, making better and healthier food choices becomes more and more complex. Most of the current food suggestion applications offer just generic advices that are not tailored to the user's personal taste. To ...