Publications by authors named "T E Sawa"

Background: Mode decomposition methods are used to extract the characteristic intrinsic mode function (IMF) from various multidimensional time series signals. We analyzed an electroencephalogram (EEG) dataset for sevoflurane anesthesia using two wavelet transform-based mode decomposition methods, comprising the empirical wavelet transform (EWT) and wavelet mode decomposition (WMD) methods, and compared the results with those from the previously reported variational mode decomposition (VMD) method.

Methods: To acquire the EEG data, we used the software application EEG Analyzer, which enabled the recording of raw EEG signals the serial interface of a bispectral index (BIS) monitor.

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Purpose: Despite the low overall death rate of coronavirus disease 2019 (COVID-19), no study has examined the association between COVID-19 severity and the total daily insulin dose required for glycemic control. The aim of this study was to determine the maximum total daily insulin dose required according to COVID-19 severity, and the number of days required to reach the maximum insulin dose in patients with COVID-19 who used insulin during hospitalization.

Patients And Methods: This retrospective cohort study included participants aged 20-90 years with a confirmed diagnosis of COVID-19 who used insulin during hospitalization at Kyoto Prefectural University of Medicine Hospital between March 4, 2020, and May 31, 2021.

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The increase in the incidence of antibiotic-resistant bacteria poses a global public health threat. According to a 2019 WHO report, approximately 1.27 million deaths were attributed to antibiotic-resistant bacteria, with many cases linked to specific bacterial species, such as drug-resistant Pseudomonas aeruginosa and Staphylococcus aureus.

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Acute lung injury caused by is attributed to the translocation of cytotoxin into pulmonary epithelial cells via the type III secretion system. This virulence can be blocked with a specific antibody against PcrV in this secretion system. However, because anti-PcrV antibodies do not have bactericidal activity, the treatment of bacteria depends on the phagocytic system of the host.

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Article Synopsis
  • Frequency analysis using EEG during general anesthesia helps in measuring anesthesia depth and can be enhanced by variational mode decomposition (VMD), which breaks down EEG signals into distinct components.
  • The study implemented a grey wolf optimizer (GWO) to efficiently determine the necessary hyperparameters for VMD, specifically the decomposition number (K) and the penalty factor (PF).
  • Results indicated that setting K to 2 was effective in capturing the significant α wave activity during general anesthesia, demonstrating that GWO can create a strong analytical model for analyzing EEG characteristics related to anesthesia effects.
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