Towards efficient and secure in-home wearable insomnia monitoring and diagnosis system

Abstract

Sleep disorders, such as insomnia can seriously affect a patient's quality of life. Sleep measurements based on polysomnographic (PSG) signals and patients' questionnaires are necessary for an accurate evaluation of insomnia. Due to recent innovations in technology, it is now possible to continuously monitor a patient's sleep at home and have their sleep data sent to a remote clinical back-end system for collection and assessment. Most of the research on sleep reported in the literature mainly looks into how to automate the analysis of the sleep data and does not address the problem of the efficient and secure transmissions of the collected health data. This paper provides an experimental evaluation of communication and security protocols that can be used in inhome sleep monitoring and health care and highlights the most suitable protocol in terms of security and overhead. Design guidelines are then derived for the deployment of effective inhome patients monitoring systems. © 2013 IEEE.