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Published in 2023 at "Epilepsia Open"
DOI: 10.1002/epi4.12704
Abstract: Electroencephalogram (EEG) datasets from epilepsy patients have been used to develop seizure detection and prediction algorithms using machine learning (ML) techniques with the aim of implementing the learned model in a device. However, the format…
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Keywords:
seizure detection;
eeg datasets;
publicly available;
detection prediction ... See more keywords
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Published in 2022 at "International Urology and Nephrology"
DOI: 10.1007/s11255-022-03165-w
Abstract: Although renal failure is a major healthcare burden globally and the cornerstone for preventing its irreversible progression is an early diagnosis, an adequate and noninvasive tool to screen renal impairment (RI) reliably and economically does…
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Keywords:
dlm;
renal impairment;
detection prediction;
using electrocardiography ... See more keywords
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Published in 2017 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2017.07.009
Abstract: Abstract This paper presents a methodology for the detection and prediction of Segments containing very high Significant Wave Height (SSWH) values in oceans. This kind of prediction is needed in order to account for potential…
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Keywords:
detection;
significant wave;
prediction segments;
prediction ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3251105
Abstract: Epilepsy is a neurological condition affecting around 50 million individuals worldwide, reported by the World Health Organization. This is identified as a hypersensitive disease by clinical associations. The unique characteristics of Electroencephalography have proven to…
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Keywords:
epileptic seizure;
seizure detection;
detection prediction;
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1
Published in 2022 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2022.3185584
Abstract: During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware implementation using conventional technologies, such as Complementary Metal–Oxide–Semiconductor (CMOS), in power and area-constrained settings…
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Keywords:
seizure detection;
seizure;
convolutional neural;
detection prediction ... See more keywords
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Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3161479
Abstract: False data injection (FDI) attacks aim to threaten the security of Internet of Things (IoT) systems by falsifying a device's measurements without being detected. In this paper, we propose a process for detecting and predicting…
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Keywords:
hidden markov;
detection prediction;
fdi attacks;
detection ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1871841
Abstract: Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth of cells, and it is the second leading cause of death globally. Screening, early diagnosis, and prediction of recurrence give…
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Keywords:
genetic algorithms;
detection prediction;
cancer;
cancer detection ... See more keywords
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Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9768467
Abstract: [This retracts the article DOI: 10.1155/2022/7713939.].
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Keywords:
retracted iot;
framework early;
enabled framework;
detection prediction ... See more keywords
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Published in 2020 at "Journal of Biomedical Research"
DOI: 10.7555/jbr.34.20200700
Abstract: This special issue of The Journal of Biomedical Research features novel studies on epileptic seizure detection and prediction based on advanced EEG signal processing and machine learning algorithms. The articles selected present important findings including…
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Keywords:
eeg signal;
seizure detection;
special issue;
signal processing ... See more keywords