Edge AI, an interdisciplinary technology that enables distributed intelligence with edge
devices, is quickly becoming a critical component in early health prediction. Edge AI …

Recent studies have reported that occupants' physiological responses can be indicators of
indoor environmental quality (IEQ). As a result, there is an emerging demand for devices to …

Digital health technologies (DHTs) have brought several significant improvements to clinical
trials, enabling real-world data collection outside of the traditional clinical context and more …

Wearable sensing devices (WSDs) have enormous promise for monitoring construction
worker safety. They can track workers and send safety-related information in real time …

Abstract Objective Home monitoring of 3‐Hz spike–wave discharges (SWDs) in patients with
refractory absence epilepsy could improve clinical care by replacing the inaccurate seizure …

Objective Circadian and multidien cycles of seizure occurrence are increasingly discussed
as to their biological underpinnings and in the context of seizure forecasting. This study …

Abstract Objective Randomized controlled trials (RCTs) in epilepsy for drug treatments are
plagued by high costs. One potential remedy is to reduce placebo response via better …

Wearable digital health technologies (DHTs) have become increasingly popular in recent
years, enabling more capabilities to assess behaviors and physiology in free-living …

Proof-of-principle studies suggest that seizure prediction from non-invasive device
recordings may be feasible. However, the discovery of optimal biomarkers is an ongoing …

The Photoplethysmography (PPG) has already proved its importance as an auxiliary vital
signal measurement technique. The PPG is predominantly a quasi-periodic signal for small …