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Smart technologies may be successfully applied in healthcare for creation of an IoT-enabled proactive pre-hospital and first aid assistance mobile services. A variety of smart services for the m-Health scenarios may be constructed by interaction of multiple knowledge processors (software agents) running on devices of the IoT environment. Thus, IoT-enabled m-Health applications should provide connection with smart space. It is possible to build such kind of services with Smart-M3 platform. The ontology describes interaction rules and the high-level design of the service. The first aid assistance scenario was chosen as a basic one. According to this scenario, sympathetic people provide first aid to patients in case of emergency. The study is focused on the implementation of the first aid assistance service consists of knowledge processors running on Linux servers and Android mobile devices. Such service should be scalable with adding new modules, sensors or participants. The purpose is to evaluate a possibility of application of a smart spaces approach for implementation mobile first aid services. Besides, implementation issues of server and client sides are discussed.

In this paper we estimate relevance of Smart TV as a platform for mobile healthcare applications. Suitability estimation is based on considering the roles that Smart TV can play in mobile healthcare area and benefits it provides. On top of our analysis we propose a prototype of a mobile healthcare application. Then, we present the actual application that is being developed accordingly to these specifications. Finally, we make a conclusion about relevance of Smart TV as a platform for mHealth applications.

One of the most important device in our lives is a mobile phone. For now, it is a powerful computing platform equipped with various sensors. Embedded sensors can be used in multiple domains, such as environmental monitoring, social networks, safety and also healthcare. In this paper we survey the main use cases of mobile phone sensors in mobile healthcare. We classify the proposed mHealth sensing applications according to sensor types they use and discuss the main advantages provided by these applications.