A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring

Abstract

Pervasive computing is changing the monitoring landscape for patients to communicate their healthcare information in real-time to clinicians and researchers. We developed a framework based on a smartwatch application allowing researchers to execute a study that is customized to their needs. The application is configured to collect patient generated data in remote settings from both sensor-based (location and movement) and user-reported health factors through the visual display. For example, data are used to investigate concurrent symptoms and mobility patterns in free-living conditions. To support the collection and analysis of this data in a robust and scalable fashion, we have developed an event driven, serverless computing platform using Amazon cloud services. This system also allows multiple campaigns to run concurrently each under the auspices of a different researcher. The framework is ideal for harnessing and scaling the utilization of smart wearable devices in research and clinical settings.

The role of perceived attributes of innovations in the adoption of smartwatches

“…A popular smartwatch component is an ability to access mobile applications without having a mobile phone on hand at any time, from anywhere, ubiquitously. This is an attractive feature that gives the smartwatch a competitive edge (Karnati et al , 2020). Consequently, the results of this study support Dillon and Morris (1996) argument that a technological innovation that offers an improvement over other currently available tools is a significant advantage for the innovation.…”

Surface Textured Double Layer Triboelectric Nanogenerator for Autonomous and Ultra‐Sensitive Biomedical Sensing

“…Recent advancements in flexible electronic technologies have contributed to the tremendous growth of the market of portable electronic devices for various fields of applications, especially those related to the health, sports, and lifestyle industries. The plethora of devices demonstrated include for example physical activity trackers [1] (e.g., smartwatches), physiological signal monitoring systems [2,3] (e.g., heart rate sensors, breath rate sensors), as well as implantable healthcare devices. [4,5] Although the power requirements of sensing elements have kept reducing, they still require power sources to fulfill their energy needs.…”