PURPOSE Physiologic monitors are plagued with alarms that create a cacophony of sounds and visual alerts causing "alarm fatigue" which creates an unsafe patient environment because a life-threatening event may be missed in this milieu of sensory overload. Using a state-of-the-art technology acquisition infrastructure, all monitor data including 7 ECG leads, all pressure, SpO(2), and respiration...

We develop a neural network (NN) architecture aimed at the midterm prediction of earthquakes. Our data-based model aims to predict if an earthquake with magnitude above threshold takes place given small area size 10 km $\times $ in ra...

Cardiopulmonary monitors (CPMs) generate false alarm rates ranging from 85%-99% with few of these alarms actually representing serious clinical events. The overabundance of clinically insignificant alarms in hospitals desensitizes the clinician to true-positive alarms and poses significant safety issues. In this IRB-approved externally funded study, we sought to assess the clinical conditions a...

Cooperative warning systems have a great potential to prevent traffic accidents. However, because of their predictive nature, they might also go along with an increased frequency of incorrect alarms that could limit their effectiveness. To better understand the consequences associated with incorrect alarms, a driving simulator study with N=80 drivers was conducted to investigate how situational...

To address the impacts of future land changes on biodiversity and ecosystem services, land-use scenarios have been developed at national scale in Japan. However, validation remains a challenge owing to lack an appropriate method. This research maps for 10 categories calibrate land-change model 1987–1998 period, simulate during 1998–2014 validate simulation period. Following established method, ...

The primary objective of this note is to reduce the false alarms in multivariate statistical process control (MSPC). The issue of false alarms is inherent within MSPC as a result of the definition of control limits. It has been observed that under normal operating conditions, the occurrence of “outof-control” data, i.e. false alarms, conforms to a Bernoulli distribution. Therefore this issue ca...

OBJECTIVE To assess the clinical performance of 3 new-generation pulse-oximetry signal-processing software systems (Philips FAST, Masimo SET, and Nellcor N-3000) during ambulation after open-heart surgery. DESIGN Prospective, convenience sample. SETTING Cardiac surgical progressive care unit in a 629-bed, not-for-profit, tertiary-care teaching hospital. PATIENTS Status post-cardiac-surger...

Static analyzers like Astrée are incomplete, hence, may produce false alarms. We propose a framework for the investigation of the alarms produced by Astrée, so as to help classifying them as true errors or false alarms that are due to the approximation inherent in the static analysis. Our approach is based on the computation of an approximation of a set of traces specified by an initial and a (...

BACKGROUND As evidenced in the DSM-V, autism spectrum disorders (ASD) are often characterized by atypical sensory behavior (hyper- or hypo-reactivity), but very few studies have evaluated olfactory abilities in individuals with ASD. METHODS Fifteen adults with ASD and 15 typically developing participants underwent olfactory tests focused on superficial (suprathreshold detection task), percept...

Patient Monitoring Information Systems generate alarms that are designed to make the clinician aware of the condition of a patient, but frequent false alarm occurrence can result in alarm fatigue and reduce the probability of a clinician to respond to the alarms. The purpose of this paper is to develop a simulation model to investigate the effect of false alarms and different alarm routing poli...