IoT for remote elderly patient care based on Fuzzy logic

Al-Adhab, Abdulmonam; Altmimi, Hamad; Alhawashi, Majed; Alabduljabbar, Hussain; Harrathi, Farah; ALmubarek, Hammeed

doi:10.1109/isncc.2016.7746072

Cited by 20 publications

(10 citation statements)

References 5 publications

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“…Smart healthcare treatment enabled the group of peoples such as doctors, patients, researchers, and caretakers of the patient from the remote place. They have been also tracking the physical activities and monitor the reading even though they are located far away from the patient [7,8]. S. M. White and J. Pateman developed a method of transmitting the data from the bedside monitor to digital records with the help of low-cost equipment.…”

Section: Related Workmentioning

confidence: 99%

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An Implementation of IRTBS—for Observing Cardiac Patients

Prajapati¹,

Parikh²,

Patel³

2021

ICT With Intelligent Applications

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Researchers have been endlessly contributing to discover cardiovascular diseases (CVDs) in an early stage using various intelligent practices when a report published by the WHO-World Health Organization-shows internationally CVDs are the primary reason for human deaths in 2017. They have been trying to control and prevent through various Global Hearts Initiatives. WHO also mentioned major risk factors for cardiovascular disease. These factors might be the use of tobacco, physical activity, consumption of high salt in daily food, consumption of foods with TRANS-FATTY acids, and high blood pressure ( (2017). Cardiovascular diseases (CVDs). Available: https://www.who.int/news-room/fact-sheets/detail/car diovascular-diseases-(cvds)). As per number published by the WHO, around 17.9 million (179 lakh) deaths were responsible due to cardiovascular in 2016. Heart attacks and strokes were the topmost reasons. Internet of Things (IoT) empowers people to get an advanced level of automating by evolving a system with the help of sensors, interconnected devices, and the Internet. In the healthcare segment, patient monitoring is a very critical and most vital activity since a small delay in decision related to patients' treatment may cause permanent disability or maybe death. Most ICU devices are furnished with various sensors to measure health parameters but to monitor it all the time is still a challenging job. In our research, we have proposed an IOT based intelligent model, which captures the various body parameters using the bedside monitor and discover the early stage CVDs disease using supervised machine learning classification algorithms. To improve the accuracy of the model, we have also used multiple algorithms to achieve better accuracy.

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Section: Related Workmentioning

confidence: 99%

“…Exclusive features of the smartphone such as video calling, portability, easy charge, applications, and network connectivity are beneficial to send and receive the notification, and report immediate [8,10,11]. Automation enhancement has been improving in healthcare sectors and expanding rapidly.…”

Section: Related Workmentioning

confidence: 99%

An Implementation of IRTBS—for Observing Cardiac Patients

Prajapati¹,

Parikh²,

Patel³

2021

ICT With Intelligent Applications

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“…However, a fourth step of aggregation may also be included [94]. Fuzzy logic is very effective for data mining and processing and is used in optimization problems and adaptive systems [2].…”

Section: Fuzzy-logic Modelingmentioning

confidence: 99%

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

2019

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Popularity of the Internet of things (IoT) is currently on the rise. Academia as well as industry is equally fascinated by this disruptive technology. The IoT research and implementation have succeeded securing their place in numerous domains including, but not limited to, business, transportation and logistics, health care, smart cities, and agriculture. Conceptual modeling is pivotal to the design and implementation of a system. Various modeling approaches have been used for a variety of the IoT applications and case studies. In this paper, we examine various innovative applications of the existing conceptual modeling approaches for the IoT. We analyze the use of these approaches against different concerns in isolation as well as in mutual combination for the IoT. We also define a set of terminologies that we frequently encounter in this manuscript and those likely to be used while adopting proposed modeling approaches for the IoT scenarios. This study also attempts to reconcile different modeling approaches toward a unified modeling system. For this purpose, we map various conceptual modeling approaches against different layers of functional model of the IoT reference architecture. There is also a scenario in the end of the paper which elaborates the use of different modeling approaches in hierarchy for a complex IoT system. INDEX TERMS Agent-based modeling, ambient-oriented modeling, aspect-oriented modeling, conceptual modeling approaches, contract-based modeling, fuzzy-logic modeling, the Internet of Things, network-based modeling, object-based modeling, ontology, service-oriented modeling.

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“…Bu çalışmada veriler Yapısal Sorgulama Dili (SQL: Structured Query Language) veritabanı olarak ta bilinen merkezi bir ilişkisel veritabanı sunucusunda saklanmıştır [15]. Diğer bir çalışmada ise yaşlı bir kişinin günlük faaliyetlerini kendi yaşantısını engellemeyecek şekilde tamamlamasına yardımcı olunması, aynı zamanda aile bireylerinin ve yaşlı bakım görevlilerinin yaşlı kişiyi takip etmesi için bir uygulama geliştirilmiştir [16]. mIoT uygulamaları sağladığı faydaların yanı sıra beraberinde bazı sorunları da beraberinde getirmiştir.…”

Section: Literatür öZeti (Literature Review)unclassified

“…Ayrıca her uygulamanın farklı bir veritabanı yönetim sistemini kullanıldığı görülmüştür. Birçok çalışmada kolay kullanımı ve ücretsiz olması nedeni ile MySQL ilişkisel veritabanı tercih edilmiştir [15][16][17][18][19][20]. Aynı zamanda, Micrososft SQL Server ilişkisel veritabanı [21][22], PostgreSQL ilişkisel veritabanı [23][24] ve SqlLite ilişkisel veritabanını kullanan uygulamalara da rastlanılmıştır [25].…”

Section: Literatür öZeti (Literature Review)unclassified

Heterojen Medikal IoT Verilerinin Depolanmasında İlişkisel Olmayan Veritabanına Dayalı Bir Yaklaşım

Polat

Oyucu

2019

Politeknik Dergisi

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Modern medikal cihazlar, her türlü temel medikal veriyi üretme ve iletebilme kabiliyetine sahip olmuşlardır. Bu cihazlar, birbirleriyle veri paylaşabilir veya bulutta merkezi bir platforma veri gönderebilir. Sağlık endüstrisinde yeni trend, her zaman ve her yerden erişilebilecek şekilde, buluttan sunulan elektronik medikal kayıtlarla entegre bir tıbbi izleme sisteminin oluşturulmasıdır. Hacmi gittikçe artan heterojen medikal verilerin düşük maliyetle, hızlı ve güvenli bir şekilde veritabanı sisteminde depolanması, verilerin aktarılması, paylaşılması ve görselleştirilmesi esastır. Bu çalışmada heterojen medikal verileri algılayıcılardan toplamak, verileri görselleştirmek ve depolamak için farklı veritabanı sistemlerini kullanabilecek şekilde bir medikal Nesnelerin İnterneti (medical Internet of Things-mIoT) platformu gerçekleştirilmiştir. mIoT platformu üzerinde dört farklı veritabanı modeli dört farklı senaryo ile test edilmiştir. Bu senaryolarda mIoT platformunda kullanılan veritabanı modellerinin performansları; sorgu süresi, veri hazırlığı, esneklik, güvenlik ve ölçeklenebilirlik parametreleri göz önüne alınarak karşılaştırılmıştır. mIoT platformunda kullanılan ilişkisel olmayan veritabanı modelinin (NoSQL: Not only Structured Query Language) okuma/yazma işlemlerinde ilişkisel veritabanı modellerine göre daha verimli çalıştığı, performansının, esnekliğinin ve ölçeklenebilirliğinin ilişkisel veritabanı sistemlerine göre daha iyi olduğu gözlemlenmiştir.

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IoT for remote elderly patient care based on Fuzzy logic

Cited by 20 publications

References 5 publications

An Implementation of IRTBS—for Observing Cardiac Patients

An Implementation of IRTBS—for Observing Cardiac Patients

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

Heterojen Medikal IoT Verilerinin Depolanmasında İlişkisel Olmayan Veritabanına Dayalı Bir Yaklaşım

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