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    Design and fabrication of an ubiquitous, low-cost, and wearable respiratory bio-sensor using ionic soft materials

    , Article 26th National and 4th International Iranian Conference on Biomedical Engineering, ICBME 2019, 27 November 2019 through 28 November 2019 ; 2019 , Pages 55-59 ; 9781728156637 (ISBN) Annabestani, M ; Mirzaei, I ; Esmaeili Dokht, P ; Fardmanesh, M
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    The respiratory system is a vital organ system which makes breathing and gas exchange possible for human's body. The loss of functionality in this system is due to either genetical problems or environmental issues like pollution or toxic gases which in many cases is inevitable. These circumstances may cause different respiratory diseases which may not be curable presently but their side effects can be partly controlled by careful and timely analysis improving the quality of patient's life. So, an appropriate device for conducting different analysis can be effective for people who suffer from respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, occupational lung... 

    Mathematical modeling of heart rate and blood pressure variations due to changes in breathing pattern

    , Article 2013 20th Iranian Conference on Biomedical Engineering, ICBME 2013, Tehran, 18 December 2013 through 20 December 2013 ; 2013 , Pages 54-58 Goldoozian, L. S ; Zahedi, E ; Sharif University of Technology
    IEEE Computer Society  2013
    Abstract
    Analysis of the heart rate (HR) variation due to respiration, known as respiratory sinus arrhythmia (RSA), is a method to assess the autonomic nervous system (ANS) function. In this paper a physiologically-based mathematical model consisting of the cardiorespiratory system and ANS control has been used in order to study the cardiovascular response (mean arterial blood pressure and HR) to breathing with different respiration rates and tidal volumes. Simulation results show that RSA has its maximal amplitude at the respiration frequency of 0.12 Hz and that RSA amplitude varies linearly by tidal volume. These results are in agreement with real data from the literature. In addition, the... 

    Classification of asthma based on nonlinear analysis of breathing pattern

    , Article PLoS ONE ; Volume 11, Issue 1 , 2016 ; 19326203 (ISSN) Raoufy, M. R ; Ghafari, T ; Darooei, R ; Nazari, M ; Mahdaviani, S. A ; Eslaminejad, A. R ; Almasnia, M ; Gharibzadeh, S ; Mani, A. R ; Hajizadeh, S ; Sharif University of Technology
    Public Library of Science  2016
    Abstract
    Normal human breathing exhibits complex variability in both respiratory rhythm and volume. Analyzing such nonlinear fluctuations may provide clinically relevant information in patients with complex illnesses such as asthma. We compared the cycle-by-cycle fluctuations of inter-breath interval (IBI) and lung volume (LV) among healthy volunteers and patients with various types of asthma. Continuous respiratory datasets were collected from forty agematched men including 10 healthy volunteers, 10 patients with controlled atopic asthma, 10 patients with uncontrolled atopic asthma, and 10 patients with uncontrolled non-atopic asthma during 60 min spontaneous breathing. Complexity of breathing... 

    NAFAS: non-rigid air flow active sensor, a cost-effective, wearable, and ubiquitous respiratory bio-sensor

    , Article IEEE Sensors Journal ; Volume 21, Issue 7 , 2021 , Pages 9530-9537 ; 1530437X (ISSN) Annabestani, M ; Esmaeili Dokht, P ; Khazaee Nejad, S ; Fardmanesh, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    A Non-rigid Air Flow Active Sensor (NAFAS) to detect the respiratory patterns is introduced in this paper. The main part of NAFAS is an ionic electroactive polymer-based ( ${i}$ -EAP) soft sensor. It can accurately detect breathing patterns and has promising features to develop low cost, wearable, and ubiquitous spirometers. Patients with respiratory diseases need to take pulmonary function tests consistently. Hence, it is time-consuming and expensive. To address these problems, NAFAS presents point-of-care testing (POCT) of the respiratory system's function. The proposed ${i}$ -EAP based sensor is a small strip of Ionic Polymer Metal Composite (IPMC) that has been fabricated using a Nafion... 

    ECG-derived respiration estimation from single-lead ECG using gaussian process and phase space reconstruction methods

    , Article Biomedical Signal Processing and Control ; Volume 45 , 2018 , Pages 80-90 ; 17468094 (ISSN) Janbakhshi, P ; Shamsollahi, M. B ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Respiratory activity influences electrocardiographic measurements (ECG) in various ways. Therefore, extraction of respiratory information from ECG, namely ECG-derived respiratory (EDR), can be used as a promising noninvasive method to monitor respiration activity. In this paper, an automatic EDR extraction system using single-lead ECG is proposed. Respiration effects on ECG are categorized into two different models: additive and multiplicative based models. After selection of a proper model for each subject using a proposed criterion, gaussian process (GP) and phase space reconstruction area (PSRArea) are introduced as new methods of EDR extraction for additive and multiplicative models,...