In this thesis we consider the use of well-known statistical methods to early diagnose, through wire-free low-cost video processing, the potential presence of seizures. For this purpose several approaches, have been proposed: periodicity-based, classification-based and clustering-based approaches
Objective: The description and evaluation of the performance of a new real-time seizure detection al...
Seizure activity in the perinatal period, which constitutes the most common neurological emergency i...
Abstract Automated processing and analysis of video recordings of neonatal seizures can generate nov...
In this thesis we consider the use of well-known statistical methods to early diagnose, through wire...
Advisors: Riccardo Raheli. Date and location of PhD thesis defense: 4 March 2013, University of Parm...
Objective: The aim of this study is to apply a real-time algorithm for clonic neonatal seizures dete...
Clinical operators in one of the most difficult health care fields, namely neonatal neurology, on a ...
This work has, as its objective, the development of non-invasive and low-cost systems for monitoring...
In this paper, we consider a novel low-complexity realtime image-processing based approach to the de...
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of utmost impo...
PurposeExisting automated seizure detection algorithms report sensitivities between 43% and 77% and ...
This paper presents a novel approach to the extraction of video features for real-time detection of ...
In this paper we consider the use of a well-known statistical method, namely Maximum-Likelihood Dete...
In this paper, we present a novel approach to early diagnosis, through a video processing-based appr...
The detection of neonatal seizures is an important step in identifying neurological dysfunction in n...
Objective: The description and evaluation of the performance of a new real-time seizure detection al...
Seizure activity in the perinatal period, which constitutes the most common neurological emergency i...
Abstract Automated processing and analysis of video recordings of neonatal seizures can generate nov...
In this thesis we consider the use of well-known statistical methods to early diagnose, through wire...
Advisors: Riccardo Raheli. Date and location of PhD thesis defense: 4 March 2013, University of Parm...
Objective: The aim of this study is to apply a real-time algorithm for clonic neonatal seizures dete...
Clinical operators in one of the most difficult health care fields, namely neonatal neurology, on a ...
This work has, as its objective, the development of non-invasive and low-cost systems for monitoring...
In this paper, we consider a novel low-complexity realtime image-processing based approach to the de...
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of utmost impo...
PurposeExisting automated seizure detection algorithms report sensitivities between 43% and 77% and ...
This paper presents a novel approach to the extraction of video features for real-time detection of ...
In this paper we consider the use of a well-known statistical method, namely Maximum-Likelihood Dete...
In this paper, we present a novel approach to early diagnosis, through a video processing-based appr...
The detection of neonatal seizures is an important step in identifying neurological dysfunction in n...
Objective: The description and evaluation of the performance of a new real-time seizure detection al...
Seizure activity in the perinatal period, which constitutes the most common neurological emergency i...
Abstract Automated processing and analysis of video recordings of neonatal seizures can generate nov...