Automatic detection and recognition of human respiratory patterns for health monitoring without any uncomfortable sensors that make continuous measurements impossible was a key problem for technologies that use analysis of respiration and behavior of a human. As a result, there appeared a decision to detect respiration rate, based on signals, received from a variety of body sensors in real time. At continuous measurement of respiration rate, signals received from the sensors, wearable on the body, is much more preferable than signals received from external sensors (for example, a thermal sensor, a pressure sensor, etc.), even if the latter are more accurately. The main reasons are listed below.-Cameras, spirometers or other sensors, not subject to wearing out, suffer from environmental influence and are complicated to use. At the same time, sensors worn on the body do not, so they can carry out measurements much more frequently and even continuously, which provides more accurate results.

IoT based e-Health solutions is an upcoming trend which will revolutionize the healthcare in the near future. IoT has evolved from micro-electro-mechanical systems (MEMS), wireless technologies and Internet which together offer connectivity of systems, microelectronic devices, and medical services and allow data processing at the edge. That at the same time allows to save computational resources and avoid unnecessary point of failure, such as centralized synchronization point. Monitoring of patients' vital signs parameters (measured at home) is achieved by using modern Internet of Things technology which provides networkable connections between portable diagnostic sensors, their cell phones, cloud data storage with patients' Personal Health Records and professional health providers. This paper explores possibilities of using fog computing approach to shift data processing and computations from cloud to the edge and to build a multi-scope infrastructure for mHealth and citizen-observation system, based on SOA approach.

Storing and sharing healthcare data is challenging. Despite different data types that can be used on different platforms, also there is a question of security of gathered data. Storing data in a traditional way may cause data leak and it unavailability in critical moments. In this work we present decentralized way of storing patient data that can be used to avoid security and unavailability problems. A blockchain is a distributed and decentralized ledger that contains connected blocks of transactions. Unlike other ledger approaches, blockchain guarantees tamper proof storage of approved transactions.

No abstract

No abstract