Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features
نویسندگان
چکیده
منابع مشابه
Reducing False Alarms with Multi-modal Sensing
Industrial sensing applications place a premium on costeffectiveness and accuracy. Traditional approaches often use expensive, invasive sensors, because inexpensive sensors suffer from false positive detections. Sensor cost means automation is sparse or avoided when the value of specific sites cannot be justified. In this paper, we show combining different types of sensors can allow low-cost se...
متن کاملReducing False Alarms Using Genetic Programming in Object Detection
This paper describes a refinement of an approach to locating objects in complex images with the objective of reducing the false alarm rate. The method uses genetic programming to evolve a detector using a threshold for defining an unclassified region. It is envisaged that incorporating a threshold during training will encourage programs to produce a high output when the object has been located....
متن کاملReducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform
BACKGROUND Over the past two decades, high false alarm (FA) rates have remained an important yet unresolved concern in the Intensive Care Unit (ICU). High FA rates lead to desensitization of the attending staff to such warnings, with associated slowing in response times and detrimental decreases in the quality of care for the patient. False arrhythmia alarms are commonly due to single channel E...
متن کاملOn Reducing False Alarms in Multivariate Statistical Process Control
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...
متن کاملReducing False Arrhythmia Alarms in the Intensive Care Unit
Due to entrenched methodology and a tendency towards deep focus in domain-specific knowledge, health care operations is a field with open problems, yet relatively little previous work in applying modern machine learning methods. In particular, alarm fatigue in hospital intensive care units is a major issue that could greatly benefit from the application of even relatively simple and standard le...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Biomedical Engineering
سال: 2013
ISSN: 0018-9294,1558-2531
DOI: 10.1109/tbme.2012.2210042