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IoT based Context-Aware Smart Home Caregivers System for Monitoring Elderly People

Laura Schaefer, Matt Bowden
2020 Journal of Computing in Engineering  
We have build a fuzzy logic from the beginning of data acquisition, processing of the data namely filtering , aggregating it into contextual information and reasoning to identify the elderly people health  ...  In this paper we propose a system for elderly people signs monitoring and critical health conditions which is sends to the caregivers to identify the daily activities by using internet of things (IoT)  ...  Research in mobile health applications has been increasingly viewed in past few years as a fuzzy logic system for home elderly people.  ... 
doi:10.46532/jce.2020070 fatcat:ob3djz4g2zcl5i2va54unrzove

Healthcare Monitoring and Analytic System Based Internet of Thing

Bahaa Mostafa, Abbas Miry, Tariq Salman
2020 Iraqi Journal for Electrical And Electronic Engineering  
The decision that gives the patient is in a normal state, or the fuzzy logic does an abnormal state or risk state.  ...  In this work, a healthcare monitoring system-based Internet of Medical Things (IoMT) is proposed, implemented, analyze it by artificial intelligence using fuzzy logic.  ...  In our work, the collected data form the sensors is analyzed by fuzzy logic. The graphs based on the inferences made using fuzzy logic is generated.  ... 
doi:10.37917/ijeee.sceeer.3rd.5 fatcat:3wwyzvtuzfcs7jxqtoq33qo3e4

A Fuzzy-Ontology Based Diabetes Monitoring System Using Internet of Things [chapter]

Sondes Titi, Hadda Ben Elhadj, Lamia Chaari Fourati
2020 Lecture Notes in Computer Science  
The results indicate its feasibility for effective remote continuous monitoring for diabetes.  ...  This paper presents a fuzzy-ontology based system using the internet of things and aims to ensure continues monitoring of diabetic patients.  ...  why IoT based healthcare systems using ontology and fuzzy-logic have been adopted for continues real-time monitoring.  ... 
doi:10.1007/978-3-030-51517-1_25 fatcat:n3goukliczaatgsox3cge7l7ay

Remote Healthcare Monitoring using Expert System

Prajoona Valsalan, Najam ul Hasan, Imran Baig, Manaf Zghaibeh
2022 International Journal of Advanced Computer Science and Applications  
In this context, the best course of action is to implement an Internet of Things (IoT)-based remote health monitoring system.  ...  The expert system generates a diagnosis of the patient's health status based on the sensor data.  ...  The author in [26] discusses the health care monitoring system and IoT-based analyses. This research successfully built a new IoT-based framework for health applications.  ... 
doi:10.14569/ijacsa.2022.0130370 fatcat:fa4zs5rk7vci5cxzmcdrp5xygu

A Study on Redesigning Modern Healthcare Using Internet of Things [chapter]

K. Rajeswari, N. Vivekanandan, P. Amitaraj, Ajay Fulambarkar
2017 Managing the Asian Century  
In today's fast world owing to advancement in medical technology, health care has become one of the most striking application areas for the Internet of Things (IoT).  ...  The IoT has the prospective to offer many medical applications such as remote health monitoring, elder care, and chronic diseases especially heart disease monitoring and emergency support for the needy  ...  Many research works presented in the conference dealt with Genetic Algorithm, Fuzzy logic and Case based reasoning.  ... 
doi:10.1007/978-981-10-5631-4_6 fatcat:gstapehsergp3atolxiolztwte

Internet of Things Framework for Home Care Systems

Biljana Risteska Stojkoska, Kire Trivodaliev, Danco Davcev
2017 Wireless Communications and Mobile Computing  
In this paper, we introduce a hierarchical distributed approach for home care systems based on a new paradigm known as Internet of Things (IoT).  ...  The proposed generic framework is supported by a three-level data management model composed of dew computing, fog computing, and cloud computing for efficient data flow in IoT based home care systems.  ...  Fuzzy logic based home healthcare system for the chronic heart disease patients for out-of-hospital follow-up and monitoring is proposed in [30] .  ... 
doi:10.1155/2017/8323646 fatcat:ll4dpaowbjfozewgy5vkkvnjry

Artificial Intelligence and IoT: Past, Present and Future [chapter]

Kannadhasan Suriyan, Nagarajan Ramalingam
2022 Open Data [Working Title]  
The internet of things (IoT) is a network of many interconnected things that may communicate with one another across a computer network.  ...  Thanks to the computer network, we can obtain this information from anywhere on the planet.  ...  The fuzzy inference system is a computer framework that makes choices based on fuzzy set theory, fuzzy if-then logic, and fuzzy reasoning.  ... 
doi:10.5772/intechopen.101758 fatcat:d5khg7lb6jc4lodtorlp6pmtjm

A Fuzzy Logic Architecture for Rehabilitation Robotic Systems

Yassine Bouteraa, Ismail Ben Abdallah, Ahmed ElMogy, Atef Ibrahim, Usman Tariq, Tariq Ahmad
2020 International Journal of Computers Communications & Control  
By using fuzzy logic approach, the system can adapt effectively according to the patients' conditions.  ...  The main goal of this work is to have an effective solution to take care of patients from far.  ...  therapists to remotely take care of patients efficiently and reliably.  ... 
doi:10.15837/ijccc.2020.4.3814 fatcat:y7twa65gingwpgrbmsofkwmryi

The Rise of Internet of Things (IoT) in Big Healthcare Data: Review and Open research Issues [article]

Zainab Alansari, Safeeullah Soomro, Mohammad Riyaz Belgaum and Shahaboddin Shamshirband
2019 arXiv   pre-print
Based on the research findings, the two criteria of Economic Prosperity and Quality of Life achieved the highest priority for IoT sustainable development in the healthcare sector.  ...  Moreover, the top priorities for IoT in the area of health, according to the usage, were identified as Ultraviolet Radiation, Dental Health and Fall Detection.  ...  athletes; • Patient Surveillance: used for remote in-hospital monitoring, (especially the elderly) or used for patient's home care; • Chronic Disease Management: Taking care of patients with chronic diseases  ... 
arXiv:1904.09270v1 fatcat:nrt7qvndgrcxhewxunltdccpbq

A Survey of Different Approaches of Machine Learning in Healthcare Management System

Dr. Krishan Kumar Goyal, Aejaz Hassan Paray
2019 International journal of advanced networking and applications  
The paper is based on survey in terms of health care management system using different machine learning approaches and techniques.  ...  for the proper decision making.  ...  [17] proposed a remote health monitoring systems based on Internet of Things (IoT) technology.  ... 
doi:10.35444/ijana.2019.11032 fatcat:7g7dvqhk4fdxdhwlxo43qhuwbu

The Internet of Things in Geriatric Healthcare

Deblu Sahu, Bikash Pradhan, Anwesha Khasnobish, Sarika Verma, Doman Kim, Kunal Pal, Antonio Gloria
2021 Journal of Healthcare Engineering  
The current paper provides up-to-date comprehensive knowledge of IoT-based technologies for geriatric healthcare applications.  ...  It not only allows the monitoring of the health parameters of geriatric patients from a remote location but also lets them live an independent life in a cost-efficient way.  ...  An ample amount of research in the literature is focused on IoT-based healthcare applications for geriatric patients.  ... 
doi:10.1155/2021/6611366 pmid:34336163 pmcid:PMC8313366 fatcat:uux2r7ugjzfjphzwpmk7k3b4z4

A Real Time Patient Monitoring System based on Artificial Neural Fuzzy Inference System (ANFIS)

Kajal Singh, Divya Sharma, Shipra Aggarwal
2016 International Journal of Computer Applications  
Implementation of Artificial Neural Fuzzy Inference Systems (ANFIS) would enable the system to work as a smart healthcare system that decides the priority by itself based on the collected psychological  ...  The model consists of sensors to collect vital data from patient's body which is then transmitted by Wi-Fi to a central HUB where fuzzy logic converts the raw data in linguistic variable which is trained  ...  In [1] researchers designed a network reliability event detection scheme for wireless sensor and actors network that is based on fuzzy logic system.  ... 
doi:10.5120/ijca2016910959 fatcat:w7sd5yualzbvtbomphtuj7gddi

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

Duygu Sergi, Irem Ucal Sari
2021 Complex & Intelligent Systems  
To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used in the analysis.  ...  Results show that health care services have dominant importance for the digitalization among public services.  ...  [28] define examples of possible smart health applications as cloud-based remote monitoring platforms, wearable sensors for patient rehabilitation, and smart IoT devices for early detection of specific  ... 
doi:10.1007/s40747-020-00239-z fatcat:cjwuodnghza7pjx2nvm4utg6uy

Application of IoT in Predictive Health Analysis–A Review of Literature

Geetha Poornima K., Krishna Prasad K.
2020 International journal of management, technology, and social science  
Among those applications that are facilitated by the IoT, applications related to health care are most significant ones.  ...  Predictive analysis is carried out on the real-time data of patients to analyze their current situation for the purpose of effective and accurate clinical-decision making.  ...  Besides, it is done using the learning methods, for example fuzzy logic or ANN (Azar et al., 2019) [14] .  ... 
doi:10.47992/ijmts.2581.6012.0089 fatcat:fh36v6u2effuzdmdyxrb3csjdy

A Smart Room to Promote Autonomy of Disabled People due to Stroke

Moeiz Miraoui
2023 Computer systems science and engineering  
Handling many remote controls can be disturbing and inappropriate for these people.  ...  A cerebral vascular accident, known as common language stroke, is one of the main causes of mortality and remains the primary cause of acquired disabilities in adults.  ...  Funding Statement: The author received no specific funding for this study. Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/csse.2023.025799 fatcat:intbb4i32zdsvhyc7vlrwqzirq
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