Background/Objectives: Application of pervasive computation in healthcare is an interdisciplinary research domain for both the medical and computer domains. Such systems provide support to remote patients and to disaster affected people. Methods/Statistical Analysis: This paper calculates percentage of contribution of various methodologies which have been described in this whole paper. Along with this it has presented comparative analysis of the surveyed algorithms based on their important features. Findings: The literature studies in this field are found to concentrate on specific applications of pervasive healthcare, such as remote patient monitoring, fall detection, etc. In this paper, we exhibit a descriptive study of different features of pervasive healthcare in recent years. Application/Improvements: The pervasive healthcare has proved to be much useful in case of elderly people living alone or patients undergoing post-operative recovery phase. Finally, a comparative analysis table of the respective techniques has been presented.
Keywords
Access Control, Classification, Clustering, Daily Activities, Decision Making, Healthcare, Pervasive, Prediction, Remote Patient Monitoring.
User
Information