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  1. Article ; Online: Dangers and Management of Obstructive Sleep Apnea Syndrome in COVID-19 Patients.

    Machado-Curbelo, Calixto

    MEDICC review

    2021  Volume 23, Issue 1, Page(s) 10

    MeSH term(s) COVID-19 ; Central Nervous System ; Cuba ; Humans ; Respiratory Distress Syndrome ; SARS-CoV-2 ; Sleep Apnea, Obstructive/therapy
    Language English
    Publishing date 2021-01-30
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2430374-4
    ISSN 1527-3172 ; 1527-3172
    ISSN (online) 1527-3172
    ISSN 1527-3172
    DOI 10.37757/MR2021.V23.N1.17
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Silent or 'Happy' Hypoxemia: An Urgent Dilemma for COVID-19 Patient Care.

    Machado-Curbelo, Calixto

    MEDICC review

    2020  Volume 22, Issue 4, Page(s) 85–86

    Abstract: A perplexing clinical aspect of COVID-19 is presentation of patients with pronounced hypoxemia without expected signs of respiratory distress or dyspnea, even when cyanotic. Nonetheless, these patients frequently leapfrog clinical evolution stages and ... ...

    Abstract A perplexing clinical aspect of COVID-19 is presentation of patients with pronounced hypoxemia without expected signs of respiratory distress or dyspnea, even when cyanotic. Nonetheless, these patients frequently leapfrog clinical evolution stages and suffer acute respiratory distress syndrome (ARDS), with concomitant cardiorespiratory arrest and death.[1] This phenomenon is referred to as silent or 'happy' hypoxemia.
    MeSH term(s) COVID-19/physiopathology ; Cuba ; Dyspnea/physiopathology ; Humans ; Hypoxia/physiopathology ; Pandemics ; Respiratory Distress Syndrome/physiopathology ; SARS-CoV-2
    Language English
    Publishing date 2020-12-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2430374-4
    ISSN 1527-3172 ; 1527-3172
    ISSN (online) 1527-3172
    ISSN 1527-3172
    DOI 10.37757/MR2020.V22.N4.9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Severe COVID-19 Cases: Is Respiratory Distress Partially Explained by Central Nervous System Involvement?

    Machado-Curbelo, Calixto

    MEDICC review

    2020  Volume 22, Issue 2, Page(s) 38–39

    Abstract: The main characteristics and challenging symptoms of COVID-19, caused by the novel coronavirus SARS-CoV-2, are related to re-spiratory distress. Although most patients have mild symptoms such as fever, headache, cough, myalgia and anosmia, some develop ... ...

    Abstract The main characteristics and challenging symptoms of COVID-19, caused by the novel coronavirus SARS-CoV-2, are related to re-spiratory distress. Although most patients have mild symptoms such as fever, headache, cough, myalgia and anosmia, some develop acute respiratory distress syndrome, leading to death in many cases. Human coronavirus (CoVs) were responsible for two previ-ous worldwide outbreaks: Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV). Several reports of these outbreaks demonstrated that these diseases affected the central nervous system (CNS).[1] Thus, for the current COVID-19 pandemic, a crucial question arises: does CNS affection at least partially explain the respiratory distress commonly found in these patients?
    MeSH term(s) Betacoronavirus/pathogenicity ; COVID-19 ; Central Nervous System/microbiology ; Coronavirus Infections/physiopathology ; Humans ; Pandemics ; Pneumonia, Viral/physiopathology ; SARS-CoV-2 ; Severity of Illness Index
    Keywords covid19
    Language English
    Publishing date 2020-05-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2430374-4
    ISSN 1527-3172 ; 1527-3172
    ISSN (online) 1527-3172
    ISSN 1527-3172
    DOI 10.37757/MR2020.V22.N2.10
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Severe COVID-19 Cases: Is Respiratory Distress Partially Explained by Central Nervous System Involvement?

    Machado-Curbelo, Calixto

    MEDICC Rev

    Abstract: The main characteristics and challenging symptoms of COVID-19, caused by the novel coronavirus SARS-CoV-2, are related to re-spiratory distress. Although most patients have mild symptoms such as fever, headache, cough, myalgia and anosmia, some develop ... ...

    Abstract The main characteristics and challenging symptoms of COVID-19, caused by the novel coronavirus SARS-CoV-2, are related to re-spiratory distress. Although most patients have mild symptoms such as fever, headache, cough, myalgia and anosmia, some develop acute respiratory distress syndrome, leading to death in many cases. Human coronavirus (CoVs) were responsible for two previ-ous worldwide outbreaks: Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV). Several reports of these outbreaks demonstrated that these diseases affected the central nervous system (CNS).[1] Thus, for the current COVID-19 pandemic, a crucial question arises: does CNS affection at least partially explain the respiratory distress commonly found in these patients?
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #32478706
    Database COVID19

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  5. Article ; Online: A Shift in SARS-CoV-2 Omicron Variant's Entry Pathway Might Explain Different Clinical Outcomes.

    Machado-Curbelo, Calixto / Gutiérrez-Gil, Joel / González-Quevedo, Alina

    MEDICC review

    2022  Volume 24, Issue 3-4, Page(s) 68–71

    Abstract: Globally, SARS CoV-2 omicron variant has led to a notable increase of COVID-19 diagnoses, although with less severe clinical manifestations and decreased hospitalizations. The omicron wave swelled faster than previous waves, completely displacing the ... ...

    Abstract Globally, SARS CoV-2 omicron variant has led to a notable increase of COVID-19 diagnoses, although with less severe clinical manifestations and decreased hospitalizations. The omicron wave swelled faster than previous waves, completely displacing the delta variant within weeks, and creating worldwide concern about final, successful pandemic control. Some authors contend that symptoms associated to omicron differ from 'traditional' symptoms and more closely resemble those of the common cold. One major COVID-19 symptom frequent with other variants-loss of taste and smell-is rarely present with omicron. This may be of interest, since it has also been suggested that direct SARS-CoV-2 invasion into the brainstem through the olfactory nerves by transsynaptic pathways could provide one explanation for the acute respiratory distress syndrome refractory to treatment. Brainstem infection by SARS-CoV-2 can severely damage the respiratory center, triggering functional deviations that affect involuntary respiration, leading to acute respiratory distress syndrome refractory to treatment, the main cause of death in COVID-19 patients. A shift in the omicron SARS-CoV-2 entry pathway from cell-surface fusion, triggered by TMPRSS2, to cathepsin-dependent fusion within the endosome, may affect transmission, cellular tropism and pathogenesis. Therefore, we can hypothesize that this entrance modification may impact transmission from the olfactory nerve to the brainstem through transsynaptic pathways. A decrement of the virus's direct invasion into the brainstem could diminish respiratory center dysfunction, reducing acute respiratory distress syndrome and the need for mechanical ventilation.
    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19 ; Cuba ; Respiratory Distress Syndrome
    Language English
    Publishing date 2022-10-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2430374-4
    ISSN 1527-3172 ; 1527-3172
    ISSN (online) 1527-3172
    ISSN 1527-3172
    DOI 10.37757/mr2022.v24.n3-4.10
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Comparison between traditional fast Fourier transform and marginal spectra using the Hilbert–Huang transform method for the broadband spectral analysis of the electroencephalogram in healthy humans

    Eduardo Arrufat‐Pié / Mario Estévez‐Báez / José Mario Estévez‐Carreras / Calixto Machado‐Curbelo / Gerry Leisman / Carlos Beltrán

    Engineering Reports, Vol 3, Iss 8, Pp n/a-n/a (2021)

    2021  

    Abstract: Abstract The fast Fourier transform (FFT) has been the main tool for electroencephalographic (EEG) Spectral Analysis (SPA). However, as the EEG dynamics show nonlinear and non‐stationary behavior, results using the FFT approach may result meaningless. A ... ...

    Abstract Abstract The fast Fourier transform (FFT) has been the main tool for electroencephalographic (EEG) Spectral Analysis (SPA). However, as the EEG dynamics show nonlinear and non‐stationary behavior, results using the FFT approach may result meaningless. A novel method has been developed for the analysis of nonlinear and non‐stationary signals known as the Hilbert–Huang transform method. In this study we analyze the differences for the broadband (SPA) of the EEG using the traditional FFT approach with those calculated with the Hilbert Marginal Spectra (HMS) after decomposition of the EEG with a multivariate empirical mode decomposition algorithm. EEG segments recorded from 19 leads of 47 healthy volunteers were studied. Statistically significant differences between methods were found for almost all leads by variance analyses. The agreement assessment shows that mean weighted frequencies have a good agreement for almost all bands, with the exception of beta‐2 and gamma bands where values for the HMS where higher than 3 Hz. Also the HMS method received lower than 5% energy values for alpha activity with an increment in the adjacent bands. The HMS may be considered a good alternative for the SPA of the EEG when nonlinearity or non‐stationarity may be present.
    Keywords EEG ; Hilbert–Huang transform ; multivariate empirical mode decomposition ; non‐stationary analysis ; spectral analysis ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 518
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Motivaciones de un tutor

    Calixto Machado Curbelo

    Medisan, Vol 17, Iss 7, Pp 1037-

    2013  Volume 1038

    Keywords Medicine (General) ; R5-920 ; Internal medicine ; RC31-1245
    Language Spanish
    Publishing date 2013-07-01T00:00:00Z
    Publisher Centro Provincial de Información de Ciencias Médicas
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Improving electroencephalographic source localization of epileptogenic zones with time-frequency analysis.

    Cuspineda-Bravo, Elena R / Martínez-Montes, Eduardo / Farach-Fumero, Miguel / Machado-Curbelo, Calixto

    Clinical EEG and neuroscience

    2015  Volume 46, Issue 2, Page(s) 153–168

    Abstract: The combination of recently developed methods for electroencephalographic (EEG) space-time-frequency analysis can provide noninvasive functional neuroimages necessary for obtaining an accurate localization of the epileptogenic zone. The aim of this study ...

    Abstract The combination of recently developed methods for electroencephalographic (EEG) space-time-frequency analysis can provide noninvasive functional neuroimages necessary for obtaining an accurate localization of the epileptogenic zone. The aim of this study was to determine if time-frequency (TF) analysis, followed by EEG source localization, would improve the detection and identification of epileptogenic and related activity. Seventeen patients with refractory frontal lobe epilepsy (FLE) were studied using video EEG recording. TF analysis identified the first epileptogenic EEG changes. Using the Bayesian model averaging (BMA) approach, we compared brain electromagnetic tomographic (BET) images, constructed from the TF domain, with BET images constructed from the time domain only. We determined if the localization identified by BET images was concordant with the localization from medical history and video EEG recording. TF analysis provided a clear display of subtle EEG features, including EEG lateralization, and more concordant and delimited epileptogenic zones, compared with time-domain source analysis. In conclusion, EEG TF analysis improves source localization. After a thorough validation, this methodology could become a useful noninvasive tool for localizing the epileptogenic zone in clinical practice.
    MeSH term(s) Adolescent ; Adult ; Bayes Theorem ; Brain/physiopathology ; Brain Mapping/methods ; Child ; Diagnosis, Computer-Assisted/methods ; Epilepsy/diagnosis ; Epilepsy/physiopathology ; Female ; Humans ; Male ; Middle Aged ; Nerve Net/physiopathology ; Reproducibility of Results ; Sensitivity and Specificity ; Spatio-Temporal Analysis ; Wavelet Analysis ; Young Adult
    Language English
    Publishing date 2015-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2140201-2
    ISSN 1550-0594 ; 0009-9155
    ISSN 1550-0594 ; 0009-9155
    DOI 10.1177/1550059414522231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 833: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article: Computing sources of epileptic discharges using the novel BMA approach: comparison with other distributed inverse solution methods.

    Bravo, Elena Cuspineda / Martínez-Montes, Eduardo / Farach-Fumero, Miguel / Machado-Curbelo, Calixto

    Clinical EEG and neuroscience

    2013  Volume 44, Issue 1, Page(s) 3–15

    Abstract: Electroencephalography (EEG) source localization in epileptology continues to be a challenge for neuroscientists. A number of inverse solution (IS) methodologies have been proposed to solve this problem, and their advantages and limitations have been ... ...

    Abstract Electroencephalography (EEG) source localization in epileptology continues to be a challenge for neuroscientists. A number of inverse solution (IS) methodologies have been proposed to solve this problem, and their advantages and limitations have been described. In the present work, a previously developed IS approach called Bayesian model averaging (BMA) is introduced in clinical practice in order to improve the localization accuracy of epileptic discharge sources. For this study, 31 patients with the diagnosis of partial epilepsies were studied: 14 had benign childhood epilepsy with centrotemporal spikes and 17 had temporal lobe epilepsy (TLE). The underlying epileptic sources were localized using the BMA approach, and the results were compared with those expected from the clinical diagnosis. Additional comparisons with results obtained from 3 of the most commonly used distributed IS methods for these purposes (minimum norm [MN], weighted minimum norm [WMN], and low-resolution electromagnetic tomography [LORETA]) were carried out in terms of source localization accuracy and spatial resolutions. The BMA approach estimated discharge sources that were consistent with the clinical diagnosis, and this method outperformed LORETA, MN, and WMN in terms of both localization accuracy and spatial resolution. The BMA was able to localize deeper generators with high accuracy. In conclusion, the BMA methodology has a great potential for the noninvasive accurate localization of epileptic sources, even those located in deeper structures. Therefore, it could be a promising tool for clinical practice in epileptology, although additional studies in other types of epileptic syndromes are necessary.
    MeSH term(s) Adult ; Algorithms ; Bayes Theorem ; Brain Mapping/methods ; Brain Mapping/standards ; Child ; Electroencephalography/methods ; Electroencephalography/standards ; Epilepsies, Partial/diagnosis ; Epilepsies, Partial/physiopathology ; Epilepsy, Rolandic/diagnosis ; Epilepsy, Rolandic/physiopathology ; Female ; Humans ; Male ; Middle Aged ; Reference Standards ; Reproducibility of Results ; Young Adult
    Language English
    Publishing date 2013-01
    Publishing country United States
    Document type Clinical Trial ; Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't ; Validation Studies
    ZDB-ID 2140201-2
    ISSN 1550-0594 ; 0009-9155
    ISSN 1550-0594 ; 0009-9155
    DOI 10.1177/1550059412451706
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 833: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: CARTA AL EDITOR

    Calixto Machado Curbelo

    Revista Cubana de Medicina, Vol 49, Iss 4, Pp 431-

    2010  Volume 434

    Keywords Medicine ; R
    Language Spanish
    Publishing date 2010-12-01T00:00:00Z
    Publisher Editorial Ciencias Médicas
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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