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Low-Complexity Image Processing for Real-Time Detection of Neonatal Clonic Seizures

G. M. K. Ntonfo, G. Ferrari, R. Raheli, F. Pisani
2012 IEEE Transactions on Information Technology in Biomedicine  
In this paper, we consider a novel low-complexity realtime image-processing-based approach to the detection of neonatal clonic seizures.  ...  Index Terms-Average luminance signal, image processing, neonatal clonic seizure, periodicity analysis.  ...  LOW-COMPLEXITY ALGORITHM FOR REAL-TIME CLONIC SEIZURE DETECTION Neonatal seizures are primarily characterized by the purposeless movements of one or more parts of the body.  ... 
doi:10.1109/titb.2012.2186586 pmid:22318500 fatcat:t5bpmvijs5e2zhraip2fypsccq

Low-complexity image processing for real-time detection of neonatal clonic seizures

G. Ferrari, G. M. Kouamou, C. Copioli, R. Raheli, F. Pisani
2010 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)  
In this paper, we consider a novel low-complexity realtime image-processing-based approach to the detection of neonatal clonic seizures.  ...  Index Terms-Average luminance signal, image processing, neonatal clonic seizure, periodicity analysis.  ...  LOW-COMPLEXITY ALGORITHM FOR REAL-TIME CLONIC SEIZURE DETECTION Neonatal seizures are primarily characterized by the purposeless movements of one or more parts of the body.  ... 
doi:10.1109/isabel.2010.5702898 fatcat:v5sstrbf3zhx3gsl2qhe6ac4dm

Real-time automated detection of clonic seizures in newborns

Francesco Pisani, Carlotta Spagnoli, Elena Pavlidis, Carlotta Facini, Guy Mathurin Kouamou Ntonfo, Gianluigi Ferrari, Riccardo Raheli
2014 Clinical Neurophysiology  
Significance: It could represent a low-cost, low complexity, real-time automated screening tool for clonic neonatal seizures.  ...  Here we describe a new algorithm for real-time, low-cost clonic neonatal seizures detection based on differential average luminance signal analysis.  ...  The aim of this study is to apply in a clinical setting a new realtime algorithm (Ntonfo et al., 2012) for clonic neonatal seizures detection, based on a low complexity image processing approach extracting  ... 
doi:10.1016/j.clinph.2013.12.119 pmid:24602566 fatcat:nhlnsc7afngdhdk2os74fddm2m

Monitoring and Diagnosing Neonatal Seizures by Video Signal Processing

Guy Mathurin Kouamou Ntonfo
2014 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
The goal of an effective image processing algorithm is the detection of "unusual" movements of the newborn.  ...  Therefore, non-invasive, real-time, automated, low-cost, wide-scale diagnostic methods and equipments capable of reliably recognizing neonatal seizures would be of significant value in the NICUs.  ...  Preliminary results show that the proposed approach allows to accurately detect neonatal clonic and subtle seizures.  ... 
doi:10.5565/rev/elcvia.623 fatcat:z53ws5nz75gqhj4xbvanjpjpji

Monitoring Infants by Automatic Video Processing

Luca Cattani
2016 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
Studies indicate an incidence rate of neonatal seizures of 2‰ for live births, 11‰ for preterm neonates, and 13‰ for infants weighing less than 2500 g at birth.  ...  This work has, as its objective, the development of non-invasive and low-cost systems for monitoring and automatic diagnosing specific neonatal diseases by means of the analysis of suitable video signals  ...  It is important to stress how we have always pursued simplicity, because low complexity leads to a low processing time, and this means that these algorithms can be used on a wide range of hardware devices  ... 
doi:10.5565/rev/elcvia.983 fatcat:mlnstlys25dcrdrezww76gini4

Automatic detection of epileptic seizures in Neonatal Intensive Care Units through EEG, ECG and video recordings: a survey

B. Olmi, L. Frassineti, A. Lanata, C. Manfredi
2021 IEEE Access  
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of utmost importance for a timely, effective and efficient clinical intervention.  ...  Expert systems based on the analysis of EEG, ECG and video recordings are investigated, and their usefulness as support tools for the medical staff in detecting and diagnosing neonatal seizures in NICUs  ...  ' AND 'NICU', 'image/video' AND 'processing' AND 'Neonatal seizure / NICU'.  ... 
doi:10.1109/access.2021.3118227 fatcat:ylikimc2nbcoppbpte3iknpfcm

Video-based Detection of Generalized Tonic-clonic Seizures Using Deep Learning

Yonghua Yang, Rani Sarkis, Rima El Atrache, Tobias Loddenkemper, Christian Meisel
2021 IEEE journal of biomedical and health informatics  
Timely detection of seizures is crucial to implement optimal interventions, and may help reduce the risk of sudden unexpected death in epilepsy (SUDEP) in patients with generalized tonic-clonic seizures  ...  Despite these advantages, neural network-based video classification has rarely been attempted for seizure detection.  ...  For more information, see This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/jbhi.2021.3049649 pmid:33406048 fatcat:iuflpr4dsnb6pboykc2hn466fq

Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy

Sriram Ramgopal, Sigride Thome-Souza, Michele Jackson, Navah Ester Kadish, Iván Sánchez Fernández, Jacquelyn Klehm, William Bosl, Claus Reinsberger, Steven Schachter, Tobias Loddenkemper
2014 Epilepsy & Behavior  
This review presents an overview of seizure detection and related prediction methods and discusses their potential uses in closed-loop warning systems in epilepsy.  ...  Artificial neural network Automated seizure detection Closed-loop methods ECG-based seizure detection EEG-based seizure detection Fourier Higher-order spectra Markov modeling Support vector machine Nearly  ...  Acknowledgments The authors would like to thank Alexander Mylavarapu, MD, for his assistance with Fig. 2 . This study was supported by the Danny Did foundation.  ... 
doi:10.1016/j.yebeh.2014.06.023 pmid:25174001 fatcat:rtz5sxb7mvhivpmgutg7dwoja4

Bio-Signal Complexity Analysis in Epileptic Seizure Monitoring: A Topic Review

Zhenning Mei, Xian Zhao, Hongyu Chen, Wei Chen
2018 Sensors  
Despite the promising results about epileptic seizure detection and prediction through offline analysis, we are still lacking robust, tried-and-true real-time applications.  ...  These discoveries have revealed that complexity is a fundamental aspect of physiological processes.  ...  Advanced techniques for time series analysis are also used for seizure detection.  ... 
doi:10.3390/s18061720 pmid:29861451 pmcid:PMC6022076 fatcat:owwowgqp7za5ll5ph5lrpiysma

Animal models of epilepsy: use and limitations

Ludmyla Kandratavicius, Priscila Balista, Cleiton Lopes-Aguiar, Rafael Ruggiero, Eduardo Umeoka, Norberto Garcia-Cairasco, Lezio Bueno-Junior, Joao Leite
2014 Neuropsychiatric Disease and Treatment  
Comprehension of the complex mechanisms underlying epileptogenesis and seizure generation in temporal lobe epilepsy and other forms of epilepsy cannot be fully acquired in clinical studies with humans.  ...  The quest for seizure mechanisms can provide insights into overall brain functions and consciousness, and animal models of epilepsy will continue to promote the progress of both epilepsy and neurophysiology  ...  for the Improvement of Higher Education Personnel (project A034_2013, to LK) in Brazil.  ... 
doi:10.2147/ndt.s50371 pmid:25228809 pmcid:PMC4164293 fatcat:xyq7ard265ca5nhnnpoyan6cny

Biosensors for Epilepsy Management: State-of-Art and Future Aspects

Shivani Tiwari, Varsha Sharma, Mubarak Mujawar, Yogendra Kumar Mishra, Ajeet Kaushik, Anujit Ghosal
2019 Sensors  
Excluding the effectiveness of available therapies, the timely detection and monitoring of epilepsy are of utmost priority for early remediation and prevention.  ...  This review will serve as a guide platform to scholars for understanding and planning of future research aiming to develop a smart bio-sensing system to detect and monitor epilepsy for point-of-care (PoC  ...  Acknowledgments: All the authors acknowledge their respective institutions for providing facilities. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19071525 fatcat:h5ils42mkvg33bw4fbg2i35tt4

Electrocardiogram Based Neonatal Seizure Detection

Barry R. Greene, Philip de Chazal, Geraldine B. Boylan, Sen Connolly, Richard B. Reilly
2007 IEEE Transactions on Biomedical Engineering  
The results of our ECG-based method are comparable with those reported for EEG-based neonatal seizure detection systems and offer the benefit of an easier acquisition methodology for seizure detection.  ...  The system uses a linear discriminant classifier to process 41 heartbeat timing interval features.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the software contribution of C. O'Brien in the QRS detection. They would also like to acknowledge the useful technical discussions with E. Lalor.  ... 
doi:10.1109/tbme.2006.890137 pmid:17405374 fatcat:npsdqdvfvjdjxolse4nrds6vwq

Artificial Intelligence-assisted Care for Human Newborns with Neurological Impairments

Ejay Nsugbe
2022 Digital Technologies Research and Applications  
This means of seizure detection has been critiqued, particularly due to subjectivity where, at times, waveform reviewing clinicians fail to reach a consensus on the presence of seizure activity in the  ...  The obtained results have helped to demonstrate that a reduced selection of electrode segments, alongside the selected algorithms, can serve towards the prediction of seizures for newborns within a neonatal  ...  Acknowledgment The author would like to thank Dawn Adams and Michael Provost for providing feedback on the manuscript, and Brian Kerr from Kerr Editing for proofreading this manuscript.  ... 
doi:10.54963/dtra.v1i2.67 fatcat:5jivpgnat5gwxgahajrkopfguu

Epileptic Seizure Detection and Experimental Treatment: A Review

Taeho Kim, Phuc Nguyen, Nhat Pham, Nam Bui, Hoang Truong, Sangtae Ha, Tam Vu
2020 Frontiers in Neurology  
In this article, we first discuss recent advances in seizure sensing, signal processing, time- or frequency-domain analysis, and classification algorithms to detect and classify seizure stages.  ...  One-fourths of the patients have medication-resistant seizures and require seizure detection and treatment continuously to cope with sudden seizures.  ...  (58) proposed the image processing approach to detect the focal clonic seizures of newborns, which are related to the periodic movements of parts of the body.  ... 
doi:10.3389/fneur.2020.00701 pmid:32849189 pmcid:PMC7396638 fatcat:dnnl7tyninc6zkqciwmuwo3esu

The Anti-inflammatory Compound Candesartan Cilexetil Improves Neurological Outcomes in a Mouse Model of Neonatal Hypoxia

Sean Quinlan, Paula Merino-Serrais, Alessandra Di Grande, Heiko Dussmann, Jochen H. M. Prehn, Tríona Ní Chonghaile, David C. Henshall, Eva M. Jimenez-Mateos
2019 Frontiers in Immunology  
Treatment of neonatal mice after hypoxia-seizures with the novel anti-inflammatory compound candesartan cilexetil suppressed acute seizure-damage and mitigated later-life aggravated seizure responses and  ...  Together, these findings improve our understanding of the effects of neonatal seizures and identify potentially novel treatments to protect against short and long-lasting harmful effects.  ...  There is certainly a need for a safe and effective therapy for neonatal seizures.  ... 
doi:10.3389/fimmu.2019.01752 pmid:31396238 pmcid:PMC6667988 fatcat:q6c4w7uhsngtdohfhbspb5a5li
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