{"title":"Heart Sounds Analysis and Classification Based on Long-Short Term Memory","authors":"Emre Cancioglu, Savaş Şahin, Y. Isler","doi":"10.54856/jiswa.202005104","DOIUrl":"https://doi.org/10.54856/jiswa.202005104","url":null,"abstract":"In this study, the development of an algorithm for the classification of heart sound phonocardiogram waveforms such as Normal, Murmur, Extrasystole, Artifact. By presenting the approach used for classification from a general machine learning application point of view, the types of classifiers used were detailed by comparing their features and their performance. The Long-Short Term Memory method which supports the classification of each cardiac cycle in sound recordings. In addition to the LSTM-based features, our method incorporates spectral features to summarize the characteristics of the entire sound recording.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124765058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Portable Epilepsy Seizure Warning and Emergency Response Armband Design","authors":"Samet Çiklaçandir, Y. Isler","doi":"10.54856/jiswa.202005091","DOIUrl":"https://doi.org/10.54856/jiswa.202005091","url":null,"abstract":"Epilepsy, also known as Sara in Turkish, is a neurological disorder that is very common in the community. It can have an impact as significant on the quality of life of individuals and cause injury or fatal consequences. The most important symptom of epilepsy is the patient's seizures. In case of seizure, changes in consciousness, behaviour, sensation in motor movements and autonomic functions are observed. As a result, involuntary contractions and movements occur. Epilepsy is a generally unknown disorder in populations with first aid deficiency. Various non-medical interventions are applied during the patient's seizure and these wrong practices adversely affect the life of the patient. Therefore, it should be known by the people around it how the emergency intervention should be done during an epileptic seizure. In this study, a medical device was designed to alert people to epileptic patients during seizures and tell them what to do. With this device, people around the person having an epileptic seizure will be told what should be done with the sound warnings from the device and the patient will be able to survive the seizure in a healthy.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127061611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of Heart Disease Risk Utilizing Correlation Matrix, Random Forest and Permutation Feature Importance Approaches","authors":"Sude Pehlivan, Y. Isler","doi":"10.54856/jiswa.202005108","DOIUrl":"https://doi.org/10.54856/jiswa.202005108","url":null,"abstract":"Surface EEG measurements that can be performed in hospitals and laboratories have reached a wearable and portable level with the development of today's technologies. Artificial intelligence-assisted brain-computer interface (BCI) systems play an important role in individuals with disabilities to process EEG signals and interact with the outside world. In particular, the research is becoming widespread to meet the basic needs of individuals in need of home care with an increasing population. In this study, it is aimed to design the BCI system that will detect the hunger and satiety status of the people on the computer platform through EEG measurements. In this context, a database was created by recording EEG signals with eyes open and eyes closed by 20 healthy participants in the first stage of the study. The noise of the EEG signal is eliminated by using a low pass, high pass, and notch filters. In the classification, using Wavelet Packet Transform (WPT) with Coiflet 1 and Daubechies 4 wavelets, 77.50% accuracy was achieved in eyes closed measurement, and 81% in eyes open measurement.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129300070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Arduino Based Probe Bag Alert System Design","authors":"M. B. Selek, Vahit Arda Uzal, Y. Isler","doi":"10.54856/jiswa.202005103","DOIUrl":"https://doi.org/10.54856/jiswa.202005103","url":null,"abstract":"Today, many patients are treated in hospital or at home. It was determined that only 74% of the patients in 2014 Şişli Etfal Training and Research Hospital used probe bags. Probe bags are frequently used, very simple to use but also a critical bag. In cases where it is not emptied in time, it can cause infection in patients, and in case of explosion, it can sink around. The infections they cause seriously affect human life. For this reason, it was aimed to develop an Arduino microprocessor based system that would measure the bag's fullness and give a warning. With the help of flex sensors in the project, measurements will be taken from certain parts of the bag and the system will decide which of these is correct. Different warnings will be given at certain occupancy levels with the algorithm aimed to be created within the system. With this study, it was aimed to prevent various infectious diseases, to increase the quality of life of the patient and to reduce the burden on healthcare professionals. According to the results, the studies are promising.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127213624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobile Applications In Nursing","authors":"Gökşen Polat, E. Unsal Avdal","doi":"10.54856/jiswa.202005116","DOIUrl":"https://doi.org/10.54856/jiswa.202005116","url":null,"abstract":"Mobile applications play an important role in providing health services to the community. The main reason is that while the healthcare professionals in the periphery are not sufficient or not, it makes it possible to provide healthcare services via mobile phones. Nursing mobile health applications; It is a facilitating tool in nursing care and applications. It ensures the follow-up of individuals, reduces the workload and provides communication with other healthcare professionals. As a group of patients, mobile applications have been developed for people with chronic diseases. This is especially due to the fact that developed country managers support people with chronic illnesses in providing telemedicine services. In this review, the place of mobile applications in the health system and nursing services are discussed.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electrospun Nanofibers on Applications of Nerve Guide Channel","authors":"Cansu Gunes, Ahmet Avci, Muhammet Usame Ozic","doi":"10.54856/jiswa.202005113","DOIUrl":"https://doi.org/10.54856/jiswa.202005113","url":null,"abstract":"Therapeutic methods developed for the repair of damaged nerves often do not provide adequate recovery. Along with the application of tissue engineering principles in the nerve tissue regeneration, many researches have been made and are still in progress to develop an ideal nerve guide channel. Promising studies are ongoing for the use of nano-sized fibrous scaffolds for nerve tissue repair, which can mimic the topography of the natural extracellular matrix. With the electrospinning method, nanofibers can be produced and the nanofiber nerve channels enabling neuron development and regrowth can be placed in the nerve gap that has lost its function. This study summarizes nerve tissue engineering strategies and clinical practices, including biomaterials and tissue scaffold production techniques to produce a structure that allows neurons to adhere, multiply, and eventually form nerves.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133695858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a Robot Manipulator Design for Brain Surgery","authors":"Didem Guzin, E. Gezgin","doi":"10.54856/jiswa.202005114","DOIUrl":"https://doi.org/10.54856/jiswa.202005114","url":null,"abstract":"Nowadays, most of the brain surgery operations are carried out by utilizing classical surgery methodologies and equipment. Although related literature includes studies on the robotization of brain surgery systems by the help of technological advancements, these applications mostly focused on the integration of robot manipulators that are designed for industrial automation into the medical area. Thus it can be clearly seen that, there exist lack of robot manipulators that are specifically designed for brain surgery applications, have necessary precision requirements and workspace constraints. In light of this, evaluating its preprototype performance, current study focuses on the improvement of a spherical parallel manipulator structure that was designed for positioning in robotic brain biopsy by taking operation efficiency, system reliability, workspace constraints and ease of manufacturing into consideration.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122507029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation of Hunger and Satiety Status During Eyes Open and Closed Using EEG Signals","authors":"Egehan Cetin, Gürkan Bilgin, S. Bilgin, Yasemin Bicer Gomceli, Alparslan Melik Kayikci","doi":"10.54856/jiswa.202005105","DOIUrl":"https://doi.org/10.54856/jiswa.202005105","url":null,"abstract":"Surface EEG measurements that can be performed in hospitals and laboratories have reached a wearable and portable level with the development of today's technologies. Artificial intelligence-assisted brain-computer interface (BCI) systems play an important role in individuals with disabilities to process EEG signals and interact with the outside world. In particular, the research is becoming widespread to meet the basic needs of individuals in need of home care with an increasing population. In this study, it is aimed to design the BCI system that will detect the hunger and satiety status of the people on the computer platform through EEG measurements. In this context, a database was created by recording EEG signals with eyes open and eyes closed by 20 healthy participants in the first stage of the study. The noise of the EEG signal is eliminated by using a low pass, high pass, and notch filters. In the classification, using Wavelet Packet Transform (WPT) with Coiflet 1 and Daubechies 4 wavelets, 77.50% accuracy was achieved in eyes closed measurement, and 81% in eyes open measurement.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134453348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yilmaz Kemal Yuce, Egehan Tezcan, Caner Uyguralp, Başak Oğuz Yolcular, Mirac Akca
{"title":"On the Usability of Snapchat: What do Users Think About It","authors":"Yilmaz Kemal Yuce, Egehan Tezcan, Caner Uyguralp, Başak Oğuz Yolcular, Mirac Akca","doi":"10.54856/jiswa.201912085","DOIUrl":"https://doi.org/10.54856/jiswa.201912085","url":null,"abstract":"In this study, Snapchat; a mobile instant messaging and social media platform, which has demonstrated a significant growth recently; was investigated for usability in terms of user satisfaction.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131212784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Microscopic Image Segmentation Based on Swarm Intelligence Optimization Algorithms","authors":"Selen Ayas, Hulya Dogan, E. Gedi̇kli̇, M. Ekinci","doi":"10.54856/jiswa.201912081","DOIUrl":"https://doi.org/10.54856/jiswa.201912081","url":null,"abstract":"The World Health Organization suggests the visual examination of stained sputum smear samples as a preliminary and basic diagnostic technique for diagnosing tuberculosis which is the most common infectious disease in the world. Due to the fact that the visual examination of slide samples performed by expert laboratory technicians requires much time and the process is prone to mistake, an accurate diagnosis of disease is provided with computer aided automatic diagnosis methods. In this study, the usage of swarm intelligence algorithms based on entropy information are proposed for detecting the tuberculosis bacilli as an ovelap approach in segmentation of microscopic images. The microscopic images used in the study are taken from smear samples in which the background concentration is low and bacilli concentration is low and high. An optimum threshold value in gray-level microscopic image is determined using the bi-level entropy based Particle Swarm Optimization, Firefly Algorithm, Cuckoo Search Optimization and Flower Pollination Algorithm. The acquired visual results show that the proposed swarm intelligence algorithms are quite successful in segmentation of microscopic images.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132458872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}