Epilepsy affects nearly 1% of the world's population. A third of epilepsy patients suffer from a
kind of epilepsy that cannot be controlled by current medications. For those where surgery is …

Objective: The present study proposes a new epileptic seizure prediction method through
integrating heart rate variability (HRV) analysis and an anomaly monitoring technique …

Objective: Obstructive sleep apnea (OSA) is a common sleep disorder; however, most
patients are undiagnosed and untreated because it is difficult for patients themselves to …

Background: Orthostatic hypotension (OH) caused by autonomic dysfunction is a common
symptom in older people and patients with idiopathic rapid eye movement sleep behavior …

Background Elucidating the association between heart rate variability (HRV) metrics
obtained through non-invasive methods and mental health symptoms could provide an …

Various drowsiness detection systems have been developed to prevent traffic accidents.
Drivers feel such systems are annoying or useless when the systems provide many false …

This chapter introduces cyber-enhanced rescue canines that digitally strengthen the
capability of search and rescue (SAR) dogs using robotics technology. A SAR dog wears a …

Changes in emotions affect our physiological responses, and perhaps vice versa. We
investigate a new game interaction system that uses false heart rate (fHR) feedback to …

If player condition during video game playing could be measured in real time, it would
become possible to develop a new game interaction system. Since heart rate (HR) has been …

Objective The present work proposes a new epileptic seizure prediction method based on
lagged Poincaré plot analysis of heart rate (HR). Methods In this article, the Poincaré plots …