A5102909478- Non-Invasive Vital Sign Monitoring
- Healthcare Technology and Patient Monitoring
- Context-Aware Activity Recognition Systems
- Heart Rate Variability and Autonomic Control
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- EEG and Brain-Computer Interfaces
- Obstructive Sleep Apnea Research
- ECG Monitoring and Analysis
- IoT-based Smart Home Systems
- Wireless Body Area Networks
University of Georgia
2023-2025
Electronics and Telecommunications Research Institute
2005
Emergency situations can occur anywhere and anytime in daily life. In the paper, we present an e-health system to perceive emergency of a patient. Using wearable shirt (BioShirt) personal monitoring (PBM), obtain body signals user. The collects transmits vital signs digital assistant (PDA) via BlueTooth communication module. To detect from received data, simple detection algorithm is performed PDA. And PDA forwards data central room (ECMR), if necessary. ECMR, several operators supervise...
This article presents the design and evaluation of an engagement-free contactless vital signs occupancy monitoring system called BedDot. While many existing works demonstrated estimation, they do not address practical challenge environment noises, online bed detection, data quality assessment in real-world environment. work a robust signal algorithm consisting three parts: 1) detection; 2) movement 3) heartbeat to identify high-quality data. It also series innovative estimation algorithms...
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...
In this study, we introduce BedDot, the first contact-free and bed-mounted continuous blood pressure monitoring sensor. Equipped with a seismic sensor, BedDot eliminates need for external wearable devices physical contact, while avoiding privacy or radiation concerns associated other technologies such as cameras radars. Using advanced preprocessing techniques innovative AI algorithms, extract time-series features from collected bedseismogram signals accurately estimate remarkable stability...
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...