Featured Application Our team currently works on the IPBS (IPBS for the “Internet+ Smart
bed”) system based on the BCG, using AI and Big Data algorithm to perform health …

Background Patients with congenital heart disease (CHD) are at risk for the development of
low cardiac output and other physiologic derangements, which could be detected early …

In recent years, the use of accelerometer data in biosensors, which tracks physical activity
levels and mobility, has gained more attention. Accelerometers offer enormous promise in …

Background: The goal of this work was to create a sharable dataset of heart-driven signals,
including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs) …

In this paper, we investigated how cardiorespiratory parameters derived from multiple
modalities of physiological signals respond to acute mental stress. The novelty of our study …

This paper presents a ballistocardiogram (BCG) based beat-to-beat heart rate (HR)
measurement system for healthcare applications in smart home. The BCG signal is picked …

Cuffless blood pressure (BP) monitors are noninvasive devices that measure systolic and
diastolic BP without an inflatable cuff. They are easy to use, safe, and relatively accurate for …

Background: Cardiovascular diseases (CVDs), being the culprit for one-third of deaths
globally, constitute a challenge for biomedical instrumentation development, especially for …

Objective: To develop and evaluate an accurate method for cuffless blood pressure (BP)
estimation during moderate-and heavy-intensity exercise. Methods: Twelve participants …

Objective: Nocturnal recordings of heart rate and respiratory rate usually require several
separate sensors or electrodes attached to different body parts–a disadvantage for at-home …