Remote health monitoring systems involve energy-constrained devices, such as sensors and mobile gateways. Current data formats for communication of health data, such as DICOM and HL7, were not designed for multi-sensor applications or to enable the management of power-constrained devices in health monitoring processes. In this paper, a data format suitable for collection of multiple sensor data, including readings and other operational parameters is presented. By using the data format, the system management can assess energy consumptions and plan realistic monitoring scenarios. The proposed data format not only outperforms other known data formats in terms of readability, flexibility, interoperability and validation of compliant documents, but also enables energy assessment capability for realistic data collection scenarios and maintains or even reduces the overhead introduced due to formatting. Additionally, we provide analytical methods to estimate incremental energy consumption by various sensors and experiments to measure the actual battery drain on smartphones.
Electrical and computer engineering graduates need practical working skills with real-world electronic devices, which are addressed to some extent by hands-on laboratories. Deployment capacity of hands-on laboratories is typically constrained due to insufficient equipment availability, facility shortages, and lack of human resources for in-class support and maintenance. At the same time, at many sites, existing experimental systems are usually underutilized due to class scheduling bottlenecks. Nowadays, online education gains popularity and remote laboratories have been suggested to broaden access to experimentation resources. Remote laboratories resolve many problems as various costs can be shared, and student access to instrumentation is facilitated in terms of access time and locations. Labs are converted to homeworks that can be done without physical presence in laboratories. Even though they are not providing full sense of hands-on experimentation, remote labs are a viable alternatives for underserved educational sites. This paper studies remote modality of USRP-based radio-communication labs offered by National Instruments (NI). The labs are offered to graduate and undergraduate students and tentative assessments support feasibility of remote deployments.
Mobile Health (mHealth) has emerged as a promising direction for delivery of healthcare services via mobile
communication devices such as cell phones. Examples include texting-based interventions for chronic disease
monitoring, diabetes management, control of hypertension, smoking cessation, monitoring medication adherence,
appointment keeping and medical test result delivery; as well as improving patient-provider communication, health
information communication, data collection and access to health records. While existing messaging systems very well
support bulk messaging and some polling applications, they are not designed for data collection and processing of health
research oriented studies. For that reason known studies based on text-messaging campaigns have been constrained in
participant numbers. In order to empower healthcare promotion and education research, this paper presents a system
dedicated for healthcare research. It is designed for convenient communication with various study groups, feedback
collection and automated processing.