In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Imagery-based electroencephalogram (EEG) signals provide interaction and communication between paralyzed patients outside world for moving controlling external devices such as wheelchair cursors. However, current approaches Imagery-BCI system design require effective feature extraction methods classification algorithms to acquire discriminative features from EEG due non-linear...

Introduction Brain-computer interfaces (BCIs) are systems that acquire the brain's electrical activity and provide control of external devices. Since electroencephalography (EEG) is simplest non-invasive method to capture activity, EEG-based BCIs very popular designs. Aside from classifying extremity movements, recent BCI studies have focused on accurate coding finger movements same hand through their classification by employing machine learning techniques. State-of-the-art were interested...

Abstract Congestive heart failure (CHF) occurs when the is unable to provide sufficient pump action maintain blood flow meet needs of body. Early diagnosis important since mortality rate patients with CHF very high. There are different validation methods measure performances classifier algorithms designed for this purpose. In study, k-fold and leave-one-out cross-validation were tested performance measures five distinct classifiers in CHF. Each algorithm was run 100 times average standard...

In this study, we aimed to detect paroxysmal atrial fibrillation episodes before they occur so that patients can take precautions putting their and others’ lives in potentially life-threatening danger. We used the prediction database, open data from PhysioNet, assembled our process based on convolutional neural networks. Conventional heart rate variability features are calculated time-domain measures, frequency-domain measures using power spectral density estimations, time-frequency-domain...

Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a signal. The WT relies on prototype signal that called mother wavelet. However, there no single universal wavelet fits all signals. Thus, selection function might be challenging represent achieve optimum performance. There are some studies determine optimal for other biomedical signals; however, exists evaluation steady-state visually-evoked potentials (SSVEP) signals becomes very popular among...

In this study, the effects of heart rate (HR) normalization in analysis variability (HRV) were investigated to distinguish 29 patients with congestive failure from 54 healthy subjects control group. performed, best accuracy performances optimal combination standard short-term HRV measures and HR-normalized are compared. A genetic algorithm is used select features among all possible combinations these measures. k-nearest-neighbour (KNN) classifier evaluate feature classifying two data groups....

Motor Hayali Elektroensefalogram (EEG) sinyalleri, Beyin-Bilgisayar Arayüzlerinde (BBA) yaygın olarak kullanılmaktadır. Son yıllarda, büyük uzuv hareketlerinin motor hayali EEG çeşitli makine öğrenme yaklaşımları kullanılarak sınıflandırılmaya çalışılmıştır. Ancak, parmak sinyallerinin sınıflandırılması, ayırt edilmesini zorlaştıran daha küçük ve gürültülü sinyal özelliklerinden dolayı az sıklıkla analiz edilmektedir. Bu çalışma, (Başparmak, İşaret parmağı, Orta parmak, Yüzük Serçe parmak)...

In the field of automation technology, research and development for industrial applications has increased rapidly in recent years. Therefore, control education is a very important element industrialization process developing countries, such as Turkey, which needs to keep abreast latest developments field. However, there are several challenges country. First, course that includes instrumentation significant budget. Moreover, necessary generally confusing use, reduces motivation students....

Paroxysmal Atrial Fibrillation (PAF) is a very common heart disease caused by irregular impulses of atrial tissue in adult. Diagnosing the early stages this disorder important for patients to stop progression and improve life quality. In study, it aimed predict PAF event before realization which 5 minutes patients. 30-minute data used study were divided into 5-minute parts. Fast Fourier Transform frequency domain measures rate variability obtained easily practically each part. The...

The optoelectronic system gives the most sensitive results among motion capture systems; however, it has limited use due to its disadvantages such as high cost, time-consuming calibration process, and space limitation. On other hand, inertial measurement unit (IMU) sensors are lightweight, portable, low-cost, easy-to-implement systems consisting of small components. Rokoko Smartsuit Pro is a wearable suit an array IMU often used in movie industry. In addition, considered that can be helpful...

The recently rapid increase in research and development automation technology has led to a gap between education industry. Although developing countries need keep touch with the latest developments, that poses some difficulties for industrial education, such as cost, lack of student motivation, insufficient laboratory infrastructure. Low-cost experimental setups may overcome many these challenges. This paper describes how supervisory control data acquisition (SCADA) robotics experiments can...

Brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEP) have been acceleratingly used in different application areas from entertainment to rehabilitation, like clinical neuroscience, cognitive, and use of engineering researches. Of various electroencephalography paradigms, SSVEP-based BCI systems enable apoplectic people communicate with outside world easily, due their simple structure, short or no training time, high temporal resolution, information...