Selim Aras

Ondokuz Mayıs University · Department of Electrical and Electronic Engineering

Despite the advances in biomedical signal processing in recent years, the need for fast and highly accurate diagnostic systems for the detection of lung disorders continues. In the study, 150 normal and 444 abnormal lung sounds obtained by automatic detection of respiratory cycles from 94 different people by physical examination were used as a data...

In this study, feature extraction methods used in the classification of single-channel lung sounds obtained by automatic identification of respiratory cycles were examined in detail in order to extract distinctive features at the lowest size. In this way, it will be possible to design a system for the detection of lung diseases, completely autonomo...

zet-İletişim insanların temel ihtiyaçlarını belirtebilmek ve sosyalleşebilmek için oldukça önemlidir. Engelli bireylerin iletişimi sınırlı olabilmektedir. Bu çalışmada gözlerini istemli olarak hareket ettirebilen bireylerin iletişim kurmasını ve bazı temel ihtiyaçlarını tanımlayabilmeleri için göz hareketlerine dayalı bir insan bilgisayar arabirimi...

Water, which is indispensable for human life and is of great importance among natural resources, is used in all areas of our daily life. In order to manage water use, water must be measured at each of the stages of obtaining, transporting, distributing, using and disposing of water from the source. Water use is measured by a water meter. Calibratio...

Bu çalışmada, Kızılgerdan kuş popülasyonuna ait dört alt türün biyoakustik özelliklerinden tespiti için uygun öznitelik ve sınıflandırma yöntemi araştırılmıştır. Özniteliklerin belirlenmesi için Mel Frekansı Kepstrum Katsayıları temel alınmış ve bu katsayılardan istatistiksel parametreler yardımıyla hesaplanabilecek uygun öznitelik araştırması yapı...

Listening to the sounds made by the lungs is a long-standing method that is still used to diagnose lung diseases. Many studies have been conducted on the automatic recognition of recorded sounds from the lungs. However, in these studies, respiratory cycles, i.e. inhalations followed by exhalations, were either monitored manually or by using multich...

Since the beginning of the recording of lung sounds, many studies have been done on automatic recognition of lung sounds. But, multi-channel recording methods were frequently used in these studies. Whereas single-channel recording methods are more suitable for the auscultation procedure. Therefore, there is a greater need in the literature for stud...

Lung auscultation is essentially performed as single channel. However, multichannel recording methods were often used for automatic classification of lung sounds in previous studies. Unlike these studies, commonly heard lung sounds consisting of healthy, rhonchi, crackles (consist of fine, coarse, and velcro crackles) were recorded as single channe...

Records are usually taken as multichannel in most of the studies about lung sounds. However, these studies which conducted as a multi-channel are not appropriate to auscultation procedure and as not suitable for the single-channel electronic stethoscope that is improved today. In this study, common lung sounds were recorded with using a single chan...

Although there have been many studies about lung sounds, a commercial product has not yet been developed that can recognize these sounds automatically. Firstly, endpoint of these sounds should be clearly defined in order to be automatically recognized in real time. Thus, studies could be conducted on that effort to reach the outcome of lung sounds...

In this paper, lung sounds were classified as healthy and pathological. Means and standard deviations of Mel Frequency Cepstrum Coefficients were used as features and also parameters obtained by exponential curve fitted to these values. Optimum performance obtained as 92.65% when exponential curve fit parameters used for the average of Mel Frequenc...

In this paper, lung sounds recorded by electronic auscultation, were classified as healthy and pathological. Linear Predictive Coding coefficients, Mel Frequency Cepstrum Coefficients mean and standard deviation were used as features. Records are consists of two data sets containing different respiratory cycle. k-Nearest Neighbor classification alg...

In this paper, five different voiced direction command recognition is realized in real-time. Speech detection step is performed on voice recordings that includes five different direction commands. Mel frequency cepstrum coefficients (MFCC) and Linear Predictive Coding (LPC) coefficients are utilized to extract feature vectors and training dat...

Bu bildiride görüntü renklendirme teknikleri üzerine geniş bir literatür taraması yapılmış ve renklendirme tekniklerinin uygulama alanları irdelenmiştir.