Umit Deniz Ulusar

Akdeniz University · Department of Computer Engineering

A key application for IoT based technologies in the field of healthcare is wireless medical sensors that can be used to monitor patients’ physiological information such as heartbeat, bowel activity and lung sounds. Real-time detection of bowel motility after major abdominal surgery has significant importance for the patients’ healing process. Due t...

Objective: Overcrowding is a challenge for emergency departments throughout the world. Triage systems categorize the patients based on medical emergencies in order to avoid the malpractices. The present study aimed to test the validity of an artificial intelligence tool, ‘Decision Trees’, in emergency medicine triage. Methods: This prospective, cro...

The accessibility of accurate location information for operators in mission-critical scenarios would considerably increase their mission success. In order to obtain precise location information, numerous algorithms and technologies have been suggested. These methods and systems show varying performances under different conditions, and with the help...

Increasing traffic, population, and public safety are major issues of cities. Many cities face social and environmental sustainability challenges such as pollution and environmental deterioration. One challenging application area of big data analytics and machine learning that has huge potential to enhance our lives is smart cities. Intelligent ser...

Internet of Medical Things (IoMT) envisions a network of medical devices and people, which use wireless communication to enable the exchange of healthcare data. Healthcare costs and prices for services have been increasing with the growing population and the use of advanced technology. The combination of IoMT and healthcare can improve the quality...

With the advent of IoT-based technologies, communication of everyday objects with the Internet and with each other has become a reality which resulted in the creation of new research areas such as location-aware routing and location-based services. These concepts are also described as the ability to locate a mobile user geographically and offer ser...

One of the applications of big data research is to utilize inexpensive and unobtrusive Internet of Things- (IoT) driven devices for monitoring hospitalized patients whose physiological status requires close attention. This type of solution employs sensors to collect physiological information and uses gateways to send the data or warnings to caregiv...

This study puts forward a semi-automatic shoreline detection and future prediction with spatial uncertainty algorithm called the SLiP-SUM (Shore Line Prediction with Spatial Uncertainty Mapping), which has five main steps: (1) preprocessing of data sets (i.e. aerial photos and/or satellite images), (2) extraction or delineation of the existing shor...

Many sports are being followed by large crowds and soccer is the most popular one among them. During the game, referee is responsible to protect players' health and to ensure proper implementation of the rules. In order to be able to achieve these tasks, referee needs to have tremendous physical and mental fitness, has to be able to interpret event...

We propose a novel computational approach to automatically identify the fetal heart rate patterns (fHRPs), which are reflective of sleep/awake states. By combining these patterns with presence or absence of movements, a fetal behavioral state (fBS) was determined. The expert scores were used as the gold standard and objective thresholds for the det...

This study presents a bioacoustic sensor system developed for early detection of the recovery of bowel activity after abdominal surgery and to perform analysis on bowel sounds. Different than other studies, in order to be able to attenuate noise, two capacitive microphones oriented in opposite directions are used. Bowel sounds are typically observe...

Aim This pilot study aimed to evaluate the effectiveness of posterior left atrial wall plication (T-plasty) in patients with persistent atrial fibrillation (AF) (> 7 days) undergoing mitral valve surgery. Materials and Methods A total of 60 patients who were scheduled for mitral valve replacement were randomly allocated into two groups: one would r...

Loss of gastrointestinal motility is a significant medical setback for patients who experience abdominal surgery and contributes to the most common reason for prolonged hospital stays. Recent clinical studies suggest that initiating feeding early after abdominal surgery is beneficial. Early feeding is possible when the patients demonstrate bowel mo...

Referees are one of the key elements of the soccer. There are many situations where the referee mistakes affect the game scores. For a successful game management, referees have to be in the right place at the right time with the right point of view. In this paper, the running styles, duration and field usage of the referees during soccer games were...

Loss of gastrointestinal motility occurs for patients who experience abdominal surgery and in order to avoid postoperative nausea and vomiting a period of fasting is commonly practiced. This study presents a system which acquires bowel sound signals by means of a devised stethoscope, performs real-time signal processing and notifies clinicians if b...

Changes in fetal magnetocardiographic (fMCG) signals are indicators for fetal body movement. We propose a novel approach to reliably extract fetal body movements based on the field strength of the fMCG signal independent of its frequency. After attenuating the maternal MCG, we use a Hilbert transform approach to identify the R-wave. At each R-wave,...

The purpose of fetal magnetoencephalography (fMEG) is to record and analyze fetal brain activity. Unavoidably, these recordings consist of a complex mixture of bio-magnetic signals from both mother and fetus. The acquired data include biological signals that are related to maternal and fetal heart function as well as fetal gross body and breathing...

In this paper we introduce an adaptive rule based QRS detection algorithm using the Hilbert transform (adHQRS) for fetal magnetocardiography processing. Hilbert transform is used to combine multiple channel measurements and the adaptive rule based decision process is used to eliminate spurious beats. The algorithm has been tested with a large numbe...

Intraventricular hemorrhage remains an important problem among very low birth weight infants and may result in long-term neurodevelopmental disabilities. Neonatologists have been unable to accurately predict impending intraventricular hemorrhage. Because alterations in the autonomic nervous system's control of heart rhythm have been associated with...

This work proposes a system design for real time planning for autonomous robots and aims to develop a soccer team for robot-soccer competitions. The robotic soccer environment is multiagent and both cooperative and competitive goals are available. Domain independent planners are used in order to benefit from their advantages. The planner system is...