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Smart homes offer an unprecedented opportunity to unobtrusively monitor human behavior in everyday environments and to determine whether relationships exist between behavior and health changes. Behavior change detection (BCD) can be used to identify changes that accompany health events, which can potentially save lives. [ABSTRACT FROM AUTHOR]

Portable medical devices generate volumes of data that could be useful in identifying health risks. The proposed method filters patients' electrocardiograms (ECGs) and applies machine-learning classifiers to identify cardiac health risks and estimate severity. The authors present the results of applying their method in a case study. [ABSTRACT FROM AUTHOR]

Longitudinal individual and crowdsourced health data from wearable sensors can be leveraged to increase the quality and length of life, giving rise to a new health data economy. [ABSTRACT FROM AUTHOR]

Healthcare delivery is being transformed by technology that personalizes, tracks, and manages patient information across devices. Smart and connected health will develop safer and more effective, efficient, equitable, and user-centered services through pervasive computing innovations. [ABSTRACT FROM AUTHOR]

Health applications involve many data sources, individuals, and services that work against guarantees that an individual's personal data will not be used without consent. The proposed privacy-centered architecture integrates data security and semantic descriptions into a trust-query framework, enabling the provision of user consent as a service. [ABSTRACT FROM PUBLISHER]

Advances in medicine and clinical care are increasingly tied to computing technologies. This special issue explores emerging trends in smart health and the benefits they bring to individual patients and society as a whole. [ABSTRACT FROM AUTHOR]