As wearables and nonwearables sensors become more reliable and affordable, their ubiquitous integration into our daily lives will lead to continuous ambulatory monitoring by a combination of technologies (). These multimodal signals will be able to collect and provide a wealth of diverse data from the daily routine of a person as well as information of clinical relevance. The Internet-of-Things is one framework that will make such realm possible by providing the framework for exchange and communication of data between sensors and ultimately with health care providers and caregivers. These connected sensors will be able to provide critical event detection and alerts and also offer better insights for improved health care and personalized medicine and therapy (). Coupled with the power of social networks, this can further lead to more insights for both patients and health care providers helping identify effective approaches in dealing with diseases. Online platforms such as PatientsLikeMe are already enabling such advancements by letting people with rare diseases connect with one another to learn about the best possible therapies for themselves (). Yet, a recent survey indicated that the vast majority of Americans are currently not aware of this platform and would like to learn more about it, although they are concerned about the insurance coverage, costs, and potential use of their data for discrimination (). This indicates that more awareness is needed to educate the public of how their data collected through ambulatory monitoring devices can potentially benefit them, while also maintaining their privacy and interests. Technological developments need to be looked into carefully from the perspective of privacy, security, and data ownership to ensure that patients feel comfortable and confident in sharing such significant amount of data regarding their daily lives with data analytic companies, health care providers, and insurance companies (,). For that matter, transparency is an important issue that needs to be considered to ensure that data are collected and used with the consent of the people the data have been collected from, and only after they have been fully briefed of how their data will be utilized. The recent General Data Protection Regulation, enacted by European Union, aims at regulating some of the most important issues in this space, including those related to algorithms designed to make decisions without human intervention (). However, as the opportunities and impact of such vast amount of data collected from our daily lives, laws, and frameworks is realized, regulations will need to evolve continuously in order to ensure the best interests of the general population., The 3 main components of a remote monitoring health care system are: 1) a wearable sensor collecting the data on physiological parameters; 2) a network and communications interface that enables transfer of these data to a remote monitoring station such as nurse or physician’s terminal or a smartphone; and 3) a remote cloud analytics platform , The sensing system, at the heart of the monitoring system, comprises two key modules: a heart sound module and an electrocardiogram module. These modules work in tandem to capture and transmit .