A5056825707- Context-Aware Activity Recognition Systems
- Non-Invasive Vital Sign Monitoring
- Advanced Fiber Laser Technologies
- Nursing Roles and Practices
- Advanced Materials Characterization Techniques
- Obstructive Sleep Apnea Research
- Optical Network Technologies
- Semiconductor Lasers and Optical Devices
- Wireless Body Area Networks
- Biosensors and Analytical Detection
- Advanced Biosensing Techniques and Applications
- Ion-surface interactions and analysis
- Electron and X-Ray Spectroscopy Techniques
- Bacteriophages and microbial interactions
University of Georgia
2024
University of California, Santa Barbara
2023
Brigham Young University
2007
Health monitoring is essential for both humans and animals in daily life. While numerous health systems have been developed, the majority are designed exclusively either or animals, most require direct physical contact. We developed BedDot, a contactless system using seismic sensor. BedDot can be deployed various environments, such as bed seat settings humans, well cages to monitor occupancy, heart rate (HR), respiratory (RR), blood pressure (BP). Our demonstrates high accuracy clinical...
In automated sleep monitoring systems, bed occupancy detection is the foundation or first step before other downstream tasks, such as inferring activities and vital signs. The existing methods do not generalize well to real-world environments due single environment settings rely on threshold-based approaches. Manually selecting thresholds requires observing a large amount of data may yield optimal results. contrast, acquiring extensive labeled sensory poses significant challenges regarding...
Extended abstract of a paper presented at Microscopy and Microanalysis 2009 in Richmond, Virginia, USA, July 26 – 30,
We demonstrate a compact and inexpensive microcontroller based YDFA control system built around PyBoard V1.1 programmed in MicroPython. power ramping, housekeeping shutdown case of SBS induced back-reflections.
We present the first detection of fluorescently labeled Qbeta phage viruses on a planar integrated optofluidic chip. Detection sensitivities order 1000 within an 85 femtoliter excitation volume have been achieved.