Electrocardiogram Based Neonatal Seizure Detection
نویسندگان
چکیده
منابع مشابه
EEG-based neonatal seizure detection with Support Vector Machines
OBJECTIVE The study presents a multi-channel patient-independent neonatal seizure detection system based on the Support Vector Machine (SVM) classifier. METHODS A machine learning algorithm (SVM) is used as a classifier to discriminate between seizure and non-seizure EEG epochs. Two post-processing steps are proposed to increase both the temporal precision and the robustness of the system. Th...
متن کاملAdvances in automated neonatal seizure detection
This chapter highlights the current approaches in automated neonatal seizure detection and in particular focuses on classifier based methods. Automated detection of neonatal seizures has the potential to greatly improve the outcome of patients in the neonatal intensive care unit. The electroencephalogram (EEG) is the only signal on which 100% of electrographic seizures are visible and thus is c...
متن کاملA Novel Automatic Neonatal Seizure Detection System
A novel neonatal seizure detection system is proposed including work in the areas of Independent Component Analysis, feature extraction, probability and classification networks. The system comprises of a preprocessing stage to reduce the effect of EEG artifacts and incorporate multichannel analysis and data reduction. A feature extraction stage examines the EEG using techniques from various sig...
متن کاملSensitivity of amplitude-integrated electroencephalography for neonatal seizure detection.
BACKGROUND Conventional electroencephalography remains the gold standard for the diagnosis and quantification of neonatal seizures. However, amplitude-integrated electroencephalography (aEEG) is being introduced to neonatal intensive care as an adjunct for neonatal seizure detection. OBJECTIVES This study's purpose was to determine the sensitivity of neonatal seizure detection in a single ele...
متن کاملClinical implementation of a neonatal seizure detection algorithm
Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present different ways to visualize the output of a neonatal seizure detection system and analyse their influence on performance in a clinical environment. Three different ways to visualize the detector output are considered: a binary output, a probabilisti...
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: 2007
ISSN: 0018-9294
DOI: 10.1109/tbme.2006.890137