Mobile and wearable devices in an open and universal system for remote patient monitoring

Remote patient monitoring: a comprehensive study

“…Contact-based methods A 'telemonitoring system' uses hardware and software devices (Szydlo and Koneiczny 2015) to monitor various heart-related illnesses. Software applications run on android platform.…”

“…Contact-based systems for diabetes EEG and glucose monitoring capability is discussed in Szydlo and Koneiczny (2015). The remote monitoring system given in Kozlovszky et al (2015) uses off-the-self sensors for diabetes sensing.…”

“…For example, in Sawand et al (2015) there is a good discussion about most relevant security and privacy issues in wireless sensor networks, but jamming attacks where one or few of the sensor nodes are compromised due to an attack is highlighted as an area which needs more investigation. It is quite clear that most systems are confined to a specific operating system (Szydlo and Koneiczny 2015). This makes it difficult to combine devices with other operating systems and this is a major limitation in most researches.…”

Remote Ecg Monitoring System by using Iot

“…The contemporarily subsisting system is available for smartphones and contrivances with the Android operating system only and doesn't fortify other software(ios, windows, etc) [1], A system that is in today market is more prone to security and privacy issues, which can be overcome by the implementation of this project [2], if we utilize the AMPED sensor to detect the heart rate, UART and HC-OS module there will be an issue cognate to platform dependency, security and privacy issues that can facilely tackle in this project [3], Intricacy in the integration of the contrivance has been reduced [4], Distance is the parameter which plays a paramount role in a wireless system which is very less range in the subsisting system that can be overcome in this project [5].…”

Estimation of Displacement for Internet of Things Applications with Kalman Filter

“…This trend was accelerated by technological improvements in the 1970s [9]; thanks to micro-electro-mechanical systems (MEMS), sensor performance was notably increased while both cost overhead and power requirements were significantly reduced. In 1979, the first MEMS accelerometers were batch-fabricated [10] and commonly integrated into wearable objects for the analysis of human activity and movements, both for research and commercial purposes [7,11]. The size and cost of accelerometers have continued to decrease, due to further advances in integrated MEMS, without compromising quality and reliability standards [12].…”