Now showing items 1-20 of 24

    • A decision support system to determine optimal ventilator settings 

      Patlar Akbulut, Fatma; Akkur, Erkan; Akan, Aydın; Yarman, B. Sıddık (Biomed Central Ltd, 236 Grays Inn Rd, Floor 6, London Wc1X 8Hl, England, 2014)
      Background: Choosing the correct ventilator settings for the treatment of patients with respiratory tract disease is quite an important issue. Since the task of specifying the parameters of ventilation equipment is entirely ...
    • A smart wearable system for short-term cardiovascular risk assessment with emotional dynamics 

      Patlar Akbulut, Fatma; Akan, Aydın (Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1Gb, Oxon, England, 2018-11)
      Recent innovative treatment and diagnostic methods developed for heart and circulatory system disorders do not provide the desired results as they are not supported by long-term patient follow-up. Continuous medical support ...
    • Analysis of brain connectivity changes after propofol injection by generalized partial directed coherence 

      Gürkan, Güray; Akan, Aydın; Özkan Seyhan, Tülay (Academic Press Inc Elsevier Science, 525 B St, Ste 1900, San Diego, Ca 92101-4495 Usa, 2014)
      In this paper we present a method for the analysis of multichannel EEG by using Generalized Partial Directed Coherence (gPDC) to extract cortical connectivity changes under anesthesia. 15 channel EEG data were recorded ...
    • Application of Stockwell Coherence To Prediction Of Alertness Under Anaesthesia 

      Gürkan, Güray; Akan, Aydın; Demiralp, Tamer (Brno Univ Technology Vut Press, Purkynova 118, Brno 61200, Czech Republic, 2010)
      In this paper, we represent an application of Stockwell Coherence to scalp EEG signals under anesthesia. By the analysis of overlapping, stationary data segments, we obtained the time-varying Stockwell coherence, which ...
    • Application of Stockwell Coherence To Prediction Of Alertness Under Anaesthesia 

      Gürkan, Güray; Akan, Aydın; Demiralp, Tamer (2010)
      In this paper, we represent an application of Stockwell Coherence to scalp EEG signals under anesthesia. By the analysis of overlapping, stationary data segments, we obtained the time-varying Stockwell coherence, which ...
    • Bandpass sampling of multiband signals by using geometric approach 

      Saatçı, Esra; Saatçı, Ertuğrul; Akan, Aydın (IEEE, 345 E 47th St, New York, Ny 10017 USA, 2017)
      This paper presents a simple and fast approach to f nd a minimum sampling frequency for multi-band signals. Instead of neighbor and boundary conditions, constraints on the sampling frequency were derived by using the ...
    • Doku Analiz Yaklaşımına Dayanan Yeni Bir İris Tanıma Yöntemi 

      Gürkan, Güray; Akan, Aydın (IEEE, 2005)
      Bu çalışmada, iris yardımı ile kişi tanıma konusunda doku analizine dayalı yeni bir yöntem sunulmaktadır. İris görüntüleri bir ön işlemeden geçirildikten sonra doku analizine dayanan öznitelik vektörleri çıkarılmaktad ...
    • Dual Kalman Filter based State-Parameter Estimation in Linear Lung Models 

      Akan, Aydın; Saatçı, Esra (Springer, 233 Spring Street, New York, Ny 10013, United States, 2009)
      Time-domain approach to inverse modeling of respiratory system requires estimation of the parameters from the noisy observation. In this work, states and parameters of the linear lung models are estimated simultaneously ...
    • EEG Sinyalinin Anestezi Sırasındaki Topografik ve Zamansal İzge Analizi 

      Gürkan, Güray; Uslu, Atilla; Cebeci, Bora; Erdoğan, Ezgi T.; Kaşıkçı, Itır; Seyhan, Tülay Ö.; Akan, Aydın; Demiralp, Tamer (IEEE, 2018)
      Bu çalışmada EEG sinyalinin anestezi altındaki izgesel değişimi, zamansal ve uzaysal olarak incelenmiştir. Bu amaçla kullanılan yöntemler arasında, günümüz anestezi derinliği takip cihazlarının da kullandığı bilinen ...
    • Estimation Of The Respiratory System Parameters 

      Sert, Görkem; Saatçı, Esra; Gürkan, Güray; Akan, Aydın (European Assoc Signal Speech & Image Processing-Eurasip, Po Box 74251, Kessariani, 151 10, Greece, 2011)
      In clinical respiratory studies, resistance and the lung compliance are two important respiratory parameters that are often measured by physicians. In this work, Respiratory signals (mask pressure, airway flow, and lung ...
    • Frequency estimation for monophonical music by using a modified VMD method 

      Öztürk Şimşek, Berrak; Akan, Aydın (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      In this paper, a new Variational Mode Decomposition (VMD) is introduced, and applied to the fundamental frequency estimation of monophonical Turkish maqam music. VMD is a method to decompose an input signal into an ensemble ...
    • Fundamental Frequency Estimation for Monophonical Turkish Music by using VMD 

      Öztürk Şimşek, Berrak; Akan, Aydın; Bozkurt, Barış (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2015-05-16)
      In this study, a new method is presented for the fundamental frequency estimation of Turkish makam music recordings by using Variational Mode Decomposition (VMD). VMD is a method to decompose an input signal into an ensemble ...
    • Generalized Gauss Distribution Noise Model for Respiratory Parameter Estimation 

      Saatçı, Esra; Akan, Aydın (Ieee, 345 E 47Th St, New York, Ny 10017 Usa, 2009)
      In this studs, measurement noise is modelled as a Generalized Gauss Distribution and a new method is presented to estimate the model parameters. The estimator algorithm consists of the Kurtosis method, Kalman iterarions ...
    • Heart sound localization and reduction in tracheal sounds by gabor time-frequency masking 

      Saatçı, Esra; Akan, Aydın (Istanbul Unıv, Fac Engineering, Elektrik-Elektronik Mühendisliği Bölümü, Avcılar Kampüsü, İstanbul, 34320, Turkey, 2017)
      Respiratory sounds, i.e. tracheal and lung sounds, have been of great interest due to their diagnostic values as well as the potential of their use in the estimation of the respiratory dynamics (mainly airflow). Thus the ...
    • Inverse Modeling of Respiratory System during Noninvasive Ventilation by Maximum Likelihood Estimation 

      Saatçı, Esra; Akan, Aydın (Hindawi Publishing Corporation, 410 Park Avenue, 15Th Floor, #287 Pmb, New York, Ny 10022 Usa, 2010)
      We propose a procedure to estimate the model parameters of presented nonlinear Resistance-Capacitance (RC) and the widely used linear Resistance-Inductance-Capacitance (RIC) models of the respiratory system by Maximum ...
    • Lung model parameter estimation by unscented Kalman filter 

      Saatçı, Esra; Akan, Aydın (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2007)
      Dynamic nonlinear models are the best choice to analyze respiratory systems and to describe system mechanics. In this work, Unscented Kalman Filtering (UKF) was used to estimate the dynamic nonlinear model parameters of ...
    • Lung Sound Noise Reduction Using Gabor Time-Frequency Masking 

      Saatçı, Esra; Akan, Aydın (SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2007)
      The Gabor expansion is a mathematical tool, which provides a joint time-frequency representation of a given signal by decomposing it into time-frequency elementary signals called Gabor atoms. It has been used in a variety ...
    • Multiple frequency estimation by using improved variational mode decomposition 

      Öztürk Şimşek, Berrak; Akan, Aydın (IEEE, 345 E 47th St, New York, Ny 10017 USA, 2017)
      In this study, an improved Variational Mode Decomposition method is introduced and applied to the multi frequency estimation problem in heterophonical Turkish maqam music recordings. The main purpose of this method is to ...
    • Posterior Cramer-Rao Lower Bounds for Dual Kalman estimation 

      Saatçı, Esra; Akan, Aydın (Academic Press inc Elsevier Science, 525 B St, Ste 1900, San Diego, Ca 92101-4495 USA, 2012-01)
      We present the Posterior Cramer-Rao Lower Bounds (PCRLB) for the dual Kalman filter estimation where the parameters are assumed to be time-invariant and stationary random variables. Relations between the PCRLB, the states, ...