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  1. Article ; Online: Low-field thoracic magnetic stimulation increases peripheral oxygen saturation levels in coronavirus disease (COVID-19) patients: A single-blind, sham-controlled, crossover study.

    Dominguez-Nicolas, Saul M / Manjarrez, Elias

    Medicine

    2021  Volume 100, Issue 40, Page(s) e27444

    Abstract: Abstract: Severe acute respiratory syndrome coronavirus-2 may cause low oxygen saturation (SpO2) and respiratory failure in patients with coronavirus disease (COVID-19). Hence, increased SpO2 levels in COVID-19 patients could be crucial for their ... ...

    Abstract Abstract: Severe acute respiratory syndrome coronavirus-2 may cause low oxygen saturation (SpO2) and respiratory failure in patients with coronavirus disease (COVID-19). Hence, increased SpO2 levels in COVID-19 patients could be crucial for their quality of life and recovery. This study aimed to demonstrate that a 30-minute single session of dorsal low-field thoracic magnetic stimulation (LF-ThMS) can be employed to increase SpO2 levels in COVID-19 patients significantly. Furthermore, we hypothesized that the variables associated with LF-ThMS, such as frequency, magnetic flux density, and temperature in the dorsal thorax, might be correlated to SpO2 levels in these patients.Here we employed an LF-ThMS device to noninvasively deliver a pulsed magnetic field from 100 to 118 Hz and 10.5 to 13.1 milliTesla (i.e., 105 to 131 Gauss) to the dorsal thorax. These values are within the intensity range of several pulsed electromagnetic field devices employed in physical therapy worldwide. We designed a single-blind, sham-controlled, crossover study on 5 COVID-19 patients who underwent 2 sessions of the study (real and sham LF-ThMS) and 12 patients who underwent only the real LF-ThMS.We found a statistically significant positive correlation between magnetic flux density, frequency, or temperature, associated with the real LF-ThMS and SpO2 levels in all COVID-19 patients. However, the 5 patients in the sham-controlled study did not exhibit a significant change in their SpO2 levels during sham stimulation. The employed frequencies and magnetic flux densities were safe for the patients. We did not observe adverse events after the LF-ThMS intervention.This study is a proof-of-concept that a single session of LF-ThMS applied for 30 minutes to the dorsal thorax of 17 COVID-19 patients significantly increased their SpO2 levels. However, future research will be needed to understand the physiological mechanisms behind this finding.The study was registered at ClinicalTrials.gov (Identifier: NCT04895267, registered on May 20, 2021) retrospectively registered. https://clinicaltrials.gov/ct2/show/NCT04895267.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; COVID-19/therapy ; Cross-Over Studies ; Female ; Humans ; Magnetic Field Therapy/methods ; Male ; Middle Aged ; Oxygen/blood ; Quality of Life ; SARS-CoV-2 ; Single-Blind Method ; Thorax
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2021-10-07
    Publishing country United States
    Document type Clinical Trial ; Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000027444
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Modeling Post-Scratching Locomotion with Two Rhythm Generators and a Shared Pattern Formation.

    Tapia, Jesus A / Reid, Argelia / Reid, John / Dominguez-Nicolas, Saul M / Manjarrez, Elias

    Biology

    2021  Volume 10, Issue 7

    Abstract: This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, ... ...

    Abstract This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, with the condition that both CPGs share their supraspinal circuits and their motor outputs at the level of their pattern formation networks. We show that the model reproduces the post-scratching locomotion latency of 6.2 ± 3.5 s, and the mean cycle durations for scratching and post-scratching locomotion of 0.3 ± 0.09 s and 1.7 ± 0.6 s, respectively, which were observed in a previous experimental study. Our findings show how the transition of two rhythmic movements could be mediated by information exchanged between their CPG circuits through routes converging in a common pattern formation layer. This integrated organization may provide flexible and effective connectivity despite the rigidity of the anatomical connections in the spinal cord circuitry.
    Language English
    Publishing date 2021-07-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology10070663
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Modeling Post-Scratching Locomotion with Two Rhythm Generators and a Shared Pattern Formation

    Jesus A. Tapia / Argelia Reid / John Reid / Saul M. Dominguez-Nicolas / Elias Manjarrez

    Biology, Vol 10, Iss 663, p

    2021  Volume 663

    Abstract: This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, ... ...

    Abstract This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, with the condition that both CPGs share their supraspinal circuits and their motor outputs at the level of their pattern formation networks. We show that the model reproduces the post-scratching locomotion latency of 6.2 ± 3.5 s, and the mean cycle durations for scratching and post-scratching locomotion of 0.3 ± 0.09 s and 1.7 ± 0.6 s, respectively, which were observed in a previous experimental study. Our findings show how the transition of two rhythmic movements could be mediated by information exchanged between their CPG circuits through routes converging in a common pattern formation layer. This integrated organization may provide flexible and effective connectivity despite the rigidity of the anatomical connections in the spinal cord circuitry.
    Keywords mathematical model ; movement production ; movement sequence ; CPG ; central pattern generator ; locomotion ; Biology (General) ; QH301-705.5
    Subject code 612
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Modeling Post-Scratching Locomotion with Two Rhythm Generators and a Shared Pattern Formation

    Tapia, Jesus A. / Reid, Argelia / Reid, John / Dominguez-Nicolas, Saul M. / Manjarrez, Elias

    Biology. 2021 July 14, v. 10, no. 7

    2021  

    Abstract: This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, ... ...

    Abstract This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, with the condition that both CPGs share their supraspinal circuits and their motor outputs at the level of their pattern formation networks. We show that the model reproduces the post-scratching locomotion latency of 6.2 ± 3.5 s, and the mean cycle durations for scratching and post-scratching locomotion of 0.3 ± 0.09 s and 1.7 ± 0.6 s, respectively, which were observed in a previous experimental study. Our findings show how the transition of two rhythmic movements could be mediated by information exchanged between their CPG circuits through routes converging in a common pattern formation layer. This integrated organization may provide flexible and effective connectivity despite the rigidity of the anatomical connections in the spinal cord circuitry.
    Keywords locomotion ; models ; spinal cord
    Language English
    Dates of publication 2021-0714
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology10070663
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Measurement System of Metal Magnetic Memory Method Signals around Rectangular Defects of a Ferromagnetic Pipe

    J. Jesús Villegas-Saucillo / José Javier Díaz-Carmona / Carlos A. Cerón-Álvarez / Raúl Juárez-Aguirre / Saúl M. Domínguez-Nicolás / Francisco López-Huerta / Agustín L. Herrera-May

    Applied Sciences, Vol 9, Iss 13, p

    2019  Volume 2695

    Abstract: Oil and gas pipeline networks require the periodic inspection of their infrastructure, which can cause gas and oil leakage with several damages to the environment and human health. For this, non-destructive testing (NDT) techniques of low-cost and easy ... ...

    Abstract Oil and gas pipeline networks require the periodic inspection of their infrastructure, which can cause gas and oil leakage with several damages to the environment and human health. For this, non-destructive testing (NDT) techniques of low-cost and easy implementation are required. An option is the metal magnetic memory (MMM) method, which could be used for real-time monitoring defects of ferromagnetic structures based on the analysis of self-magnetic leakage fields distribution around each defect. This method only requires magnetic sensors with high resolution and a data processing system. We present a measurement system of tangential and normal MMM signals of three rectangular defects of an ASTM A-36 steel pipe. This system is formed by a magnetoresistive sensor, an Arduino nano and a virtual instrumentation. The measured magnetic signals have non-uniform distributions around the rectangular defects, which have small differences with respect to the results obtained of a 2D magnetic dipole model. The size of each rectangular defect is related to the amplitude and shape of its tangential and normal MMM signals. The proposed system could be used for real-time monitoring of the size and location of rectangular defects of ferromagnetic pipes. This system does not require expensive equipment, operators with high skill level or a special treatment of the ferromagnetic samples.
    Keywords rectangular defect ; magneto-mechanical memory method ; metal magnetic memory method ; magnetic sensor ; non-destructive testing ; oil and gas pipeline ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 530
    Language English
    Publishing date 2019-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Improved detection of magnetic signals by a MEMS sensor using stochastic resonance.

    Herrera-May, Agustín L / Tapia, Jesus A / Domínguez-Nicolás, Saúl M / Juarez-Aguirre, Raul / Gutierrez-D, Edmundo A / Flores, Amira / Figueras, Eduard / Manjarrez, Elias

    PloS one

    2014  Volume 9, Issue 10, Page(s) e109534

    Abstract: We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise ...

    Abstract We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise applied on the vicinity of the MEMS sensor can improve the detection of subthreshold magnetic fields. We examined the increase in the signal-to-noise ratio (SNR) of such detected magnetic fields as a function of the magnetic noise intensity. The data disclosed an inverted U-like graph between the SNR and the applied magnetic noise. This finding shows that the application of an intermediate level of noise in the environment of a MEMS magnetic field sensor improves its detection capability of subthreshold signals via the stochastic resonance phenomenon.
    MeSH term(s) Humans ; Magnetic Fields ; Micro-Electrical-Mechanical Systems/instrumentation ; Micro-Electrical-Mechanical Systems/methods ; Models, Neurological ; Signal-To-Noise Ratio ; Stochastic Processes
    Language English
    Publishing date 2014-10-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0109534
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Digital signal processing by virtual instrumentation of a MEMS magnetic field sensor for biomedical applications.

    Juárez-Aguirre, Raúl / Domínguez-Nicolás, Saúl M / Manjarrez, Elías / Tapia, Jesús A / Figueras, Eduard / Vázquez-Leal, Héctor / Aguilera-Cortés, Luz A / Herrera-May, Agustín L

    Sensors (Basel, Switzerland)

    2013  Volume 13, Issue 11, Page(s) 15068–15084

    Abstract: We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board ...

    Abstract We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board (PCB), a data acquisition (DAQ) card, and a virtual instrument. It allows the development of a semi-portable prototype with the capacity to filter small electromagnetic interference signals through digital signal processing. The virtual instrument includes an algorithm to implement different configurations of infinite impulse response (IIR) filters. The PCB contains a precision instrumentation amplifier, a demodulator, a low-pass filter (LPF) and a buffer with operational amplifier. The proposed prototype is used for real-time non-invasive monitoring of magnetic flux density in the thoracic cage of rats. The response of the rat respiratory magnetogram displays a similar behavior as the rat electromyogram (EMG).
    MeSH term(s) Algorithms ; Animals ; Biomedical Technology/instrumentation ; Biomedical Technology/methods ; Electromagnetic Fields ; Electronics, Medical/instrumentation ; Equipment Design ; Magnetometry/instrumentation ; Magnetometry/methods ; Male ; Micro-Electrical-Mechanical Systems ; Rats ; Rats, Sprague-Dawley ; Respiration ; Signal Processing, Computer-Assisted/instrumentation ; Silicon ; Thorax/physiology
    Chemical Substances Silicon (Z4152N8IUI)
    Language English
    Publishing date 2013-11-05
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s131115068
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Improved detection of magnetic signals by a MEMS sensor using stochastic resonance.

    Agustín L Herrera-May / Jesus A Tapia / Saúl M Domínguez-Nicolás / Raul Juarez-Aguirre / Edmundo A Gutierrez-D / Amira Flores / Eduard Figueras / Elias Manjarrez

    PLoS ONE, Vol 9, Iss 10, p e

    2014  Volume 109534

    Abstract: We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise ...

    Abstract We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise applied on the vicinity of the MEMS sensor can improve the detection of subthreshold magnetic fields. We examined the increase in the signal-to-noise ratio (SNR) of such detected magnetic fields as a function of the magnetic noise intensity. The data disclosed an inverted U-like graph between the SNR and the applied magnetic noise. This finding shows that the application of an intermediate level of noise in the environment of a MEMS magnetic field sensor improves its detection capability of subthreshold signals via the stochastic resonance phenomenon.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2014-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Digital Signal Processing by Virtual Instrumentation of a MEMS Magnetic Field Sensor for Biomedical Applications

    Héctor Vázquez-Leal / Luz A. Aguilera-Cortés / Agustín L. Herrera-May / Eduard Figueras / Jesús A. Tapia / Saúl M. Domínguez-Nicolás / Elías Manjarrez / Raúl Juárez-Aguirre

    Sensors, Vol 13, Iss 11, Pp 15068-

    2013  Volume 15084

    Abstract: We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board ...

    Abstract We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board (PCB), a data acquisition (DAQ) card, and a virtual instrument. It allows the development of a semi-portable prototype with the capacity to filter small electromagnetic interference signals through digital signal processing. The virtual instrument includes an algorithm to implement different configurations of infinite impulse response (IIR) filters. The PCB contains a precision instrumentation amplifier, a demodulator, a low-pass filter (LPF) and a buffer with operational amplifier. The proposed prototype is used for real-time non-invasive monitoring of magnetic flux density in the thoracic cage of rats. The response of the rat respiratory magnetogram displays a similar behavior as the rat electromyogram (EMG).
    Keywords digital signal processing ; magnetic field sensor ; magnetogram ; MEMS ; silicon resonator ; virtual instrument ; Technology (General) ; T1-995 ; Technology ; T ; DOAJ:Technology (General) ; DOAJ:Technology and Engineering ; Analytical chemistry ; QD71-142 ; Chemistry ; QD1-999 ; Science ; Q ; DOAJ:Analytical Chemistry ; DOAJ:Chemistry
    Language English
    Publishing date 2013-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Respiratory magnetogram detected with a MEMS device.

    Dominguez-Nicolas, Saul M / Juarez-Aguirre, Raul / Herrera-May, Agustin L / Garcia-Ramirez, Pedro / Figueras, Eduard / Gutierrez-D, Edmundo A / Tapia, Jesus A / Trejo, Argelia / Manjarrez, Elias

    International journal of medical sciences

    2013  Volume 10, Issue 11, Page(s) 1445–1450

    Abstract: Magnetic fields generated by the brain or the heart are very useful in clinical diagnostics. Therefore, magnetic signals produced by other organs are also of considerable interest. Here we show first evidence that thoracic muscles can produce a strong ... ...

    Abstract Magnetic fields generated by the brain or the heart are very useful in clinical diagnostics. Therefore, magnetic signals produced by other organs are also of considerable interest. Here we show first evidence that thoracic muscles can produce a strong magnetic flux density during respiratory activity, that we name respiratory magnetogram. We used a small magnetometer based on microelectromechanical systems (MEMS), which was positioned inside the open thoracic cage of anaesthetized and ventilated rats. With this new MEMS sensor of about 20 nT resolution, we recorded a strong and rhythmic respiratory magnetogram of about 600 nT.
    MeSH term(s) Animals ; Electrophysiology/methods ; Male ; Micro-Electrical-Mechanical Systems/methods ; Rats ; Rats, Sprague-Dawley ; Respiration
    Language English
    Publishing date 2013-08-27
    Publishing country Australia
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2151424-0
    ISSN 1449-1907 ; 1449-1907
    ISSN (online) 1449-1907
    ISSN 1449-1907
    DOI 10.7150/ijms.4732
    Database MEDical Literature Analysis and Retrieval System OnLINE

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