6 accepted papers
Wearable sensors provide abundant physiological time series observations, yet the resolution at which we should extract features for downstream tasks remain unclear. We hypothesize that temporal resolution is a fundamental axis of representation learning, with different clinical and behavioral outco…
Biosignals acquired from different locations on the body often provide temporally ordered views of the same underlying physiological process. However, most existing self-supervised learning methods treat these signals as interchangeable views, overlooking the directional temporal dynamics that link …
This study evaluates the usability of wearable head ballistocardiography (BCG) in providing accurate pulse transit time (PTT) measurements during blood pressure (BP) interventions. Head BCG is a new technique enabling measurement of proximal aortic blood ejection from sensors placed at distal sites,…
Cardiac Output (CO) is a critical indicator of health, offering insights into cardiac dysfunction, acute stress responses, and cognitive decline. Traditional CO monitoring methods, like impedance cardiography, are invasive and impractical for daily use, leading to a gap in continuous, non-invasive m…
The earbud-based ballistocardiogram (BCG) assessment holds significant promise for monitoring diverse physiological signals, including stress, cardiac activity, and blood pressure. However, unlike traditional methods that measure the force component along the head-to-foot axis for enhanced BCG signa…
Core body temperature (CBT) is one of the critical yet under-explored phenomena in the context of stress detection. Several CBT measurement methods exist, but they are often limited in continuous CBT monitoring. Furthermore, how continuous CBT can be used to model acute stress is little explored. We…