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  1. Book ; Online ; E-Book: Systems and signal processing of capnography as a diagnostic tool for asthma assessment

    Malarvili, M. B.

    2023  

    Author's details M. B. Malarvili [and four others]
    Keywords Asthma/Diagnosis ; Capnography
    Subject code 616.238
    Language English
    Size 1 online resource (210 pages)
    Publisher Academic Press
    Publishing place London
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-323-91567-1 ; 9780323857475 ; 978-0-323-91567-0 ; 0323857477
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Digitization and Analysis of Capnography Using Image Processing Technique.

    Vijayam, Bhuwaneswaran / Supriyanto, Eko / Malarvili, M B

    Frontiers in digital health

    2021  Volume 3, Page(s) 723204

    Abstract: The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, ... ...

    Abstract The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, lung perfusion and diffusion, quality of spontaneous respiration, and patency of airways outside of its typical usage in the anesthetic and emergency medicine field. The parameters of the capnograph could be classified as carbon dioxide (CO
    Language English
    Publishing date 2021-10-29
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2021.723204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Assessing respiratory complications by carbon dioxide sensing platforms

    Santheraleka Ramanathan / M.B. Malarvili / Subash C.B. Gopinath

    Arabian Journal of Chemistry, Vol 16, Iss 2, Pp 104478- (2023)

    Advancements in infrared radiation technology and IoT integration

    1480  

    Abstract: Respiratory illness demands pragmatic clinical monitoring and diagnosis to curb numerous fatal diseases in all aged groups. Due to the complicated instrumentation, long amplification periods, and restricted number of simultaneous detections, present ... ...

    Abstract Respiratory illness demands pragmatic clinical monitoring and diagnosis to curb numerous fatal diseases in all aged groups. Due to the complicated instrumentation, long amplification periods, and restricted number of simultaneous detections, present clinically available multiplex diagnostic technologies are difficult to deploy the onsite diagnostic platforms. The futuristic assessment of medical diagnosis eases the respiratory monitoring using exhaled breath, due to the simple and comfort non-invasive detecting techniques. Carbon dioxide (CO2) stands as a promising biomarker and has been identified in exhaled breath samples that distinguish different respiratory issues. State-of-the-art CO2 gas sensing strategies are recognized with the growth of modern telecommunication technologies for real-time respiratory illness monitoring and diagnosis using exhaled breath. The presented article reviews the existing CO2 gas sensors and their developments towards medical applications. With that, the advancement of infrared (IR) CO2 gas sensors with distinguished light and sensing properties in detecting respiratory disorders are overviewed. The development of optimal CO2 gas sensing strategy incorporated with Internet of Things (IoT) technology is over-reviewed. The hurdles encountered in the existing research and future preference with real-time CO2 monitoring and diagnosing respiratory disorders with the advancement attained in IR sensing technology and IoT networking are highlighted.
    Keywords Gas sensors ; Infrared radiation ; Telemedicine ; Respiratory disorders ; Chemistry ; QD1-999
    Subject code 600
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: On Analyzing Capnogram as a Novel Method for Screening COVID-19: A Review on Assessment Methods for COVID-19.

    Malarvili, M B / Alexie, Mushikiwabeza / Dahari, Nadhira / Kamarudin, Anhar

    Life (Basel, Switzerland)

    2021  Volume 11, Issue 10

    Abstract: In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city, China, and was reported in other countries around the globe. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Strategies ... ...

    Abstract In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city, China, and was reported in other countries around the globe. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Strategies such as contact tracing and a vaccination program have been imposed to keep COVID-19 under control. Furthermore, a fast, noninvasive and reliable testing device is needed urgently to detect COVID-19, so that contact can be isolated and ringfenced before the virus spreads. Although the reverse transcription polymerase chain reaction (RT-PCR) test is considered the gold standard method for the diagnosis of SARS-CoV-2 infection, this test presents some limitations which cause delays in detecting the disease. The antigen rapid test (ART) test, on the other hand, is faster and cheaper than PCR, but is less sensitive, and may limit SARS-CoV-2 detection. While other tests are being developed, accurate, noninvasive and easy-to-use testing tools are in high demand for the rapid and extensive diagnosis of the disease. Therefore, this paper reviews current diagnostic methods for COVID-19. Following this, we propose the use of expired carbon dioxide (CO
    Language English
    Publishing date 2021-10-17
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life11101101
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Can metagenomics unravel the impact of oral bacteriome in human diseases?

    Chattopadhyay, Indranil / Lu, Wenying / Manikam, Rishya / Malarvili, M B / Ambati, Ranga Rao / Gundamaraju, Rohit

    Biotechnology & genetic engineering reviews

    2022  Volume 39, Issue 1, Page(s) 85–117

    Abstract: Oral microbial ecosystems are vital in maintaining the health of the oral cavity and the entire body. Oral microbiota is associated with the progression of oral diseases such as dental caries, periodontal diseases, head and neck cancer, and several ... ...

    Abstract Oral microbial ecosystems are vital in maintaining the health of the oral cavity and the entire body. Oral microbiota is associated with the progression of oral diseases such as dental caries, periodontal diseases, head and neck cancer, and several systemic diseases such as cardiovascular disease, rheumatoid arthritis, adverse pregnancy outcomes, diabetes, lung infection, colorectal cancer, and pancreatic cancer. Buccal mucosa, tongue dorsum, hard palate, saliva, palatine tonsils, throat, keratinized gingiva, supra-gingival plaque, subgingival plaque, dentures, and lips are microbial habitats of the oral cavity.
    MeSH term(s) Female ; Humans ; Pregnancy ; Dental Caries ; Periodontal Diseases/microbiology ; Porphyromonas gingivalis ; Microbiota ; Arthritis, Rheumatoid
    Language English
    Publishing date 2022-07-21
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 49457-4
    ISSN 2046-5556 ; 0264-8725
    ISSN (online) 2046-5556
    ISSN 0264-8725
    DOI 10.1080/02648725.2022.2102877
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Digitization and Analysis of Capnography Using Image Processing Technique

    Bhuwaneswaran Vijayam / Eko Supriyanto / M. B. Malarvili

    Frontiers in Digital Health, Vol

    2021  Volume 3

    Abstract: The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, ... ...

    Abstract The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, lung perfusion and diffusion, quality of spontaneous respiration, and patency of airways outside of its typical usage in the anesthetic and emergency medicine field. The parameters of the capnograph could be classified as carbon dioxide (CO2) concentration and time points and coordinates, slopes angle, volumetric studies, and functional transformation of wave data. Up to date, there is no gold standard device for the calculation of the capnographic parameters. Capnography digitization using the image processing technique could serve as an option. From the algorithm we developed, eight identical breath waves were tested by four investigators. The values of the parameters chosen showed no significant difference between investigators. Although there were no significant differences between any of the parameters tested, there were a few related parameters that were not calculable. Further testing after refinement of the algorithm could be done. As more capnographic parameters are being derived and rediscovered by clinicians and researchers alike for both lung and non-lung-related diseases, there is a dire need for data analysis and interpretation. Although the proposed algorithm still needs minor refinements and further large-scale testing, we proposed that the digitization of the capnograph via image processing technique could serve as an intellectual option as it is fast, convenient, easy to use, and efficient.
    Keywords capnography ; capnometry ; end tidal carbon dioxide ; EtCO2 ; time based capnography ; Medicine ; R ; Public aspects of medicine ; RA1-1270 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 600
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Fusion of heart rate variability and salivary cortisol for stress response identification based on adverse childhood experience.

    Aimie-Salleh, Noor / Malarvili, M B / Whittaker, Anna C

    Medical & biological engineering & computing

    2019  Volume 57, Issue 6, Page(s) 1229–1245

    Abstract: Adverse childhood experiences have been suggested to cause changes in physiological processes and can determine the magnitude of the stress response which might have a significant impact on health later in life. To detect the stress response, biomarkers ... ...

    Abstract Adverse childhood experiences have been suggested to cause changes in physiological processes and can determine the magnitude of the stress response which might have a significant impact on health later in life. To detect the stress response, biomarkers that represent both the Autonomic Nervous System (ANS) and Hypothalamic-Pituitary-Adrenal (HPA) axis are proposed. Among the available biomarkers, Heart Rate Variability (HRV) has been proven as a powerful biomarker that represents ANS. Meanwhile, salivary cortisol has been suggested as a biomarker that reflects the HPA axis. Even though many studies used multiple biomarkers to measure the stress response, the results for each biomarker were analyzed separately. Therefore, the objective of this study is to propose a fusion of ANS and HPA axis biomarkers in order to classify the stress response based on adverse childhood experience. Electrocardiograph, blood pressure (BP), pulse rate (PR), and salivary cortisol (SCort) measures were collected from 23 healthy participants; 11 participants had adverse childhood experience while the remaining 12 acted as the no adversity control group. HRV was then computed from the ECG and the HRV features were extracted. Next, the selected HRV features were combined with the other biomarkers using Euclidean distance (e
    MeSH term(s) Adverse Childhood Experiences ; Biomarkers/metabolism ; Entropy ; Female ; Heart Rate/physiology ; Humans ; Hydrocortisone/metabolism ; Male ; Nonlinear Dynamics ; Saliva/metabolism ; Stress, Psychological/metabolism ; Stress, Psychological/physiopathology ; Support Vector Machine ; Young Adult
    Chemical Substances Biomarkers ; Hydrocortisone (WI4X0X7BPJ)
    Language English
    Publishing date 2019-02-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 282327-5
    ISSN 1741-0444 ; 0025-696X ; 0140-0118
    ISSN (online) 1741-0444
    ISSN 0025-696X ; 0140-0118
    DOI 10.1007/s11517-019-01958-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Effect of short-term ketogenic diet on end-tidal carbon dioxide.

    Vijayam, Bhuwaneswaran / Malarvili, M B / Md Shakhih, Muhammad Faiz / Omar, Nashuha / Wahab, Asnida Abdul

    Clinical nutrition ESPEN

    2021  Volume 42, Page(s) 124–131

    Abstract: Background & aims: Previous studies have shown that end-tidal carbon dioxide (EtCO: Methods: Healthy subjects were screened not to have conditions that exerts abnormal EtCO: Results: 12 subjects completed the study. The mean score ± standard ... ...

    Abstract Background & aims: Previous studies have shown that end-tidal carbon dioxide (EtCO
    Methods: Healthy subjects were screened not to have conditions that exerts abnormal EtCO
    Results: 12 subjects completed the study. The mean score ± standard deviation (SD) for EtCO
    Conclusions: These findings suggest that EtCO
    MeSH term(s) 3-Hydroxybutyric Acid ; Carbon Dioxide ; Diabetic Ketoacidosis ; Diet, Ketogenic ; Humans ; Ketones
    Chemical Substances Ketones ; Carbon Dioxide (142M471B3J) ; 3-Hydroxybutyric Acid (TZP1275679)
    Language English
    Publishing date 2021-02-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2405-4577
    ISSN (online) 2405-4577
    DOI 10.1016/j.clnesp.2021.02.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Can metagenomics unravel the impact of oral bacteriome in human diseases?

    Chattopadhyay, Indranil / Lu, Wenying / Manikam, Rishya / Malarvili, M. B. / Ambati, Ranga Rao / Gundamaraju, Rohit

    Biotechnology and Genetic Engineering Reviews. 2023 Jan. 02, v. 39, no. 1, p. 85-117

    2023  , Page(s) 85–117

    Abstract: Oral microbial ecosystems are vital in maintaining the health of the oral cavity and the entire body. Oral microbiota is associated with the progression of oral diseases such as dental caries, periodontal diseases, head and neck cancer, and several ... ...

    Abstract Oral microbial ecosystems are vital in maintaining the health of the oral cavity and the entire body. Oral microbiota is associated with the progression of oral diseases such as dental caries, periodontal diseases, head and neck cancer, and several systemic diseases such as cardiovascular disease, rheumatoid arthritis, adverse pregnancy outcomes, diabetes, lung infection, colorectal cancer, and pancreatic cancer. Buccal mucosa, tongue dorsum, hard palate, saliva, palatine tonsils, throat, keratinized gingiva, supra-gingival plaque, subgingival plaque, dentures, and lips are microbial habitats of the oral cavity. Porphyromonas gingivalis may have a role in the development of periodontal diseases, oral cancer, diabetes, and atherosclerotic disease. Fusobacterium nucleatum showed a higher abundance in periodontal diseases, oral and colon cancer, adverse pregnancy outcomes, diabetes, and rheumatoid arthritis. The higher abundance of Prevotella intermedia is typical in periodontal diseases, rheumatoid arthritis, and adverse pregnancy outcome. S. salivarius displayed higher abundance in both dental caries and OSCC. Oral bacteria may influence systemic diseases through inflammation by releasing pro inflammatory cytokines. Identification of oral bacteria using culture-dependent approaches and next-generation sequencing-based metagenomic approaches is believed to significantly identify the therapeutic targets and non-invasive diagnostic indicators in different human diseases. Oral bacteria in saliva could be exploited as a non-invasive diagnostic indicator for the early detection of oral and systemic disorders. Other therapeutic approaches such as the use of probiotics, green tea polyphenol, cold atmospheric plasma (CAP) therapy, antimicrobial photodynamic therapy, and antimicrobial peptides are used to inhibit the growth of biofilm formation by oral bacteria.

    Porphyromonas gingivalis may have a role in the development of periodontal diseases, oral cancer, diabetes, and atherosclerotic disease Fusobacterium nucleatum showed a higher abundance in periodontal diseases, oral and colon cancer, adverse pregnancy outcomes, diabetes, and rheumatoid arthritis Oral bacteria may influence systemic diseases through inflammation by releasing pro inflammatory cytokines. Identification of oral bacteria in saliva may be used as a non-invasive diagnostic indicator for the early detection of oral and systemic disorders.
    Keywords Fusobacterium nucleatum ; Porphyromonas gingivalis ; Prevotella intermedia ; antimicrobial peptides ; atherosclerosis ; bacteriome ; biofilm ; biotechnology ; colorectal neoplasms ; cytokines ; dental caries ; diabetes ; gingiva ; green tea ; humans ; inflammation ; keratinization ; lungs ; metagenomics ; mouth neoplasms ; mucosa ; nonthermal processing ; palate ; pancreatic neoplasms ; photochemotherapy ; polyphenols ; pregnancy outcome ; probiotics ; rheumatoid arthritis ; saliva ; throat ; tongue ; Oral bacteria ; oral diseases ; systemic diseases ; dysbiosis ; therapeutic targets ; biomarker
    Language English
    Dates of publication 2023-0102
    Size p. 85-117
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 2500039-1
    ISSN 2046-5556 ; 0264-8725
    ISSN (online) 2046-5556
    ISSN 0264-8725
    DOI 10.1080/02648725.2022.2102877
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III.

    Boon, K H / Khalil-Hani, M / Malarvili, M B

    Computer methods and programs in biomedicine

    2018  Volume 153, Page(s) 171–184

    Abstract: This paper presents a method that able to predict the paroxysmal atrial fibrillation (PAF). The method uses shorter heart rate variability (HRV) signals when compared to existing methods, and achieves good prediction accuracy. PAF is a common cardiac ... ...

    Abstract This paper presents a method that able to predict the paroxysmal atrial fibrillation (PAF). The method uses shorter heart rate variability (HRV) signals when compared to existing methods, and achieves good prediction accuracy. PAF is a common cardiac arrhythmia that increases the health risk of a patient, and the development of an accurate predictor of the onset of PAF is clinical important because it increases the possibility to electrically stabilize and prevent the onset of atrial arrhythmias with different pacing techniques. We propose a multi-objective optimization algorithm based on the non-dominated sorting genetic algorithm III for optimizing the baseline PAF prediction system, that consists of the stages of pre-processing, HRV feature extraction, and support vector machine (SVM) model. The pre-processing stage comprises of heart rate correction, interpolation, and signal detrending. After that, time-domain, frequency-domain, non-linear HRV features are extracted from the pre-processed data in feature extraction stage. Then, these features are used as input to the SVM for predicting the PAF event. The proposed optimization algorithm is used to optimize the parameters and settings of various HRV feature extraction algorithms, select the best feature subsets, and tune the SVM parameters simultaneously for maximum prediction performance. The proposed method achieves an accuracy rate of 87.7%, which significantly outperforms most of the previous works. This accuracy rate is achieved even with the HRV signal length being reduced from the typical 30 min to just 5 min (a reduction of 83%). Furthermore, another significant result is the sensitivity rate, which is considered more important that other performance metrics in this paper, can be improved with the trade-off of lower specificity.
    MeSH term(s) Algorithms ; Atrial Fibrillation/physiopathology ; Electrocardiography ; Humans ; Support Vector Machine
    Language English
    Publishing date 2018-01
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2017.10.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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