A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. - Pallavi Gupta; Laurel Despins; David Heise; Jamal Saied-Walker; Ruhan Yi; Marjorie Skubic; Grant J. Scott (AMIA, 2022)

Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. - Jamal Saied-Walker; Pallavi Gupta; Ruhan Yi; Noah Marchal; Marjorie Skubic; Grant J. Scott (IEEE Big Data, 2022)

HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data. - Grant J. Scott; Jamal Saied-Walker; Noah Marchal; Hang Yu; Marjorie Skubic (EMBC, 2022)

GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. - Jamal Saied-Walker; Pallavi Gupta; Ruhan Yi; Noah Marchal; Marjorie Skubic; Grant J. Scott (IEEE Big Data, 2023)

Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. - Trevor M. Bajkowski; Noah Marchal; Jamal Saied-Walker; Pallavi Gupta; James M. Keller; Marjorie Skubic; Grant J. Scott (FUZZ, 2023)

A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. - Pallavi Gupta; Jamal Saied-Walker; Laurel Despins; David Heise; James Keller 001; Marjorie Skubic; Ruhan Yi; Grant J. Scott (J. Biomed. Informatics, 2023)