Embedded & Pervasive Systems Lab

We research design, development, and validation of algorithms, tools, and technologies that enhance utilization and large-scale adoption of pervasive systems.

Embedded & Pervasive Systems Lab

Embedded & Pervasive Systems Lab

Research Lab

Washington State University

About EPSL

Medical embedded systems seamlessly connect human users to the physical world that is richly and invisibly interwoven with sensors, actuators, displays, and networks embedded in the everyday objects. The pervasive nature of such systems will transform the way people interact with each other and their environment and will revolutionize the way next generation medical services are provided. When realized properly, the resulting unparalleled information extracted from these systems enables emerging applications in mobile and remote healthcare, wellness, emergency response, fitness monitoring, elderly care support, long-term preventive chronic care, smart environments, gaming and sports.

The current focus of our research in the Embedded and Pervasive Systems Lab (EPSL) is on design, development, and validation of algorithms, tools, and technologies that enhance utilization and large-scale adoption of medical embedded systems. To validate and refine the new technology, we conduct clinical studies involving patients with heart failure, diabetes, cancer, visual impairment, and gait difficulties. Clinical studies are conducted in collaboration with partners from Elson S. Floyd College of Medicine, College of Nursing, College of Pharmacy, College of Education, and College of Agricultural, Human, and Natural Resource Science at WSU as well as our collaborators at Pullman Regional Hospital, UCLA School of Medicine, UCLA Stein Eye Institute, UC-Irvine Nursing Science, and Memorial Sloan Kettering Cancer Center (MSKCC). This end-to-end approach results in innovative, evidence-based and cost-conscious solutions for patients, doctors and medical centers.

Research Projects


Human-in-the-Loop Learning

Designing active learning strategies that collect labeled sensor data in uncontrolled environments is challenging because (i) without taking into account user’s cognitive factors, active learning places much burden on the user and lowers …

Edema Monitoring

Monitoring Edema helps caregivers and patients to understand the state of the disease as well as the effectiveness of treatments. SmartSock is a wearable and context-aware prototype for intelligent in-home monitoring of edema. SmartSock is powered by …

Gait Monitoring

We develop novel approaches for reliable gait monitoring and investigate applications of wearable-base monitoring in various populations. The utility of wearable sensors for continuous gait monitoring has grown substantially, enabling novel …

Power-Aware System Design

The stringent constrained resources available on tiny sensor nodes introduce a number of challenges regarding accuracy, power-efficiency, user-comfort, and security. These design considerations, however, often impose conflicting requirements. Thus, a …

Computational Autonomy

Computational algorithms need to be reconfigured (i.e., retrained) upon any changes in configuration of wearable technologies, such as addition/removal of a sensor to/from the network, displacement/misplacement/mis-orientation of the sensors, etc. …

Contact

  • epsl@wsu.edu
  • 114 Dana Hall, 355 Spokane Street, Pullman, WA 99164