Cloud Based Wireless Infrastructure for Health Monitoring

2020 ◽  
pp. 34-55 ◽  
Author(s):  
Ajay Chaudhary ◽  
Sateesh Kumar Peddoju ◽  
Suresh Kumar Peddoju
Keyword(s):  
Cloud Computing ◽  
Health Monitoring ◽  
Healthcare Services ◽  
Power Source ◽  
Vital Role ◽  
Healthcare Applications ◽  
Related Data ◽  
Health Related ◽  
Healthcare Monitoring ◽  
Wireless Infrastructure

The wireless infrastructure based devices can collect data for long period of time even with a tiny power source as they perform specific function of collection of health related data and sending to gateways. The sensing data of healthcare monitoring consumes low power but they had limited computation power to process this data, where the cloud computing plays a vital role and compliment the loophole of wireless infrastructure based systems. In cloud computing with its immense computation power for easily deployment of healthcare monitoring algorithms and helps to process sensed data. As these two technologies did great jobs in their respective fields a conflate framework of these two technologies may lead to a great architecture for healthcare applications. This chapter reviews complete state-of-the-art and several use cases related to healthcare monitoring using different wireless infrastructure and adapting cloud based technologies in providing the healthcare services.

Cloud Based Wireless Infrastructure for Health Monitoring

2016 ◽  
pp. 19-46 ◽  
Author(s):  
Ajay Chaudhary ◽  
Sateesh Kumar Peddoju ◽  
Suresh Kumar Peddoju
Keyword(s):  
Cloud Computing ◽  
Health Monitoring ◽  
Healthcare Services ◽  
Power Source ◽  
Vital Role ◽  
Healthcare Applications ◽  
Related Data ◽  
Health Related ◽  
Healthcare Monitoring ◽  
Wireless Infrastructure

The wireless infrastructure based devices can collect data for long period of time even with a tiny power source as they perform specific function of collection of health related data and sending to gateways. The sensing data of healthcare monitoring consumes low power but they had limited computation power to process this data, where the cloud computing plays a vital role and compliment the loophole of wireless infrastructure based systems. In cloud computing with its immense computation power for easily deployment of healthcare monitoring algorithms and helps to process sensed data. As these two technologies did great jobs in their respective fields a conflate framework of these two technologies may lead to a great architecture for healthcare applications. This chapter reviews complete state-of-the-art and several use cases related to healthcare monitoring using different wireless infrastructure and adapting cloud based technologies in providing the healthcare services.

Smart Healthcare Monitoring System for War-End Soldiers Using CNN

2021 ◽  
pp. 166-199
Author(s):  
Preethi S. ◽  
Prasannadevi V. ◽  
Arunadevi B.
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Military Personnel ◽  
Vital Role ◽  
Monitoring Systems ◽  
Health Issues ◽  
Smart Healthcare ◽  
Emergency Assistance ◽  
Healthcare Monitoring ◽  
Wearable Monitoring Systems

Health monitoring plays a vital role to overcome the health issues of the patients. According to research, approximately 2000 people die due to carelessness of monitoring their health. Wearable monitoring systems record the activities of daily life. A 24-hour wearable monitoring system was developed and changes were identified. This project is designed for helping the soldiers to maintain their health conditions and to identify their health issues at war's end. Different health parameters are monitored using sensors, and the data are transmitted through GSM to the receiver, and the received data are analyzed using convolutional neural networks, which is performed in cloud IoT. If any abnormalities are found during the analyzing process, the message is sent to military personnel and the doctor at the camp so that they could take necessary actions to recover the ill soldier from the war field and provide emergency assistance on time. The location of the soldier is also shared using the input from GPS modem in the smart jacket.

scholarly journals The Ethical Implications of Personal Health Monitoring

2014 ◽  
Vol 5 (2) ◽  
pp. 37-60 ◽  
Author(s):  
Brent Mittelstadt ◽  
Ben Fairweather ◽  
Mark Shaw ◽  
Neil McBride
Keyword(s):  
Health Monitoring ◽  
Ethical Issues ◽  
Personal Health ◽  
Delivery Of Care ◽  
Related Data ◽  
Ethical Implications ◽  
Holistic Understanding ◽  
Health Related ◽  
Personal Health Monitoring

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The system / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient's identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations.1

scholarly journals Delay Analysis of GTS Bridging between IEEE 802.15.4 and IEEE 802.11 Networks for Healthcare Applications

2009 ◽  
Vol 2009 ◽  
pp. 1-13 ◽  
Author(s):  
Jelena Mišić ◽  
Xuemin (Sherman) Shen
Keyword(s):  
Ieee 802.15.4 ◽  
Access Point ◽  
Area Network ◽  
Ieee 802.11B ◽  
Healthcare Applications ◽  
Related Data ◽  
Network Cluster ◽  
Number Of Patients ◽  
Health Related ◽  
Save Energy

We consider interconnection of IEEE 802.15.4 beacon-enabled network cluster with IEEE 802.11b network. This scenario is important in healthcare applications where IEEE 802.15.4 nodes comprise patient's body area network (BAN) and are involved in sensing some health-related data. BAN nodes have very short communication range in order to avoid harming patient's health and save energy. Sensed data needs to be transmitted to an access point in the ward room using wireless technology with higher transmission range and rate such as IEEE 802.11b. We model the interconnected network where IEEE 802.15.4-based BAN operates in guaranteed time slot (GTS) mode, and IEEE 802.11b part of the bridge conveys GTS superframe to the 802.11b access point. We then analyze the network delays. Performance analysis is performed using EKG traffic from continuous telemetry, and we discuss the delays of communication due the increasing number of patients.

IoT Security Issues, Challenges, Threats, and Solutions in Healthcare Applications

2022 ◽  
pp. 104-130
Author(s):  
Sudhakar Hallur ◽  
Roopa Kulkarni ◽  
Prashant P. Patavardhan ◽  
Vishweshkumar Aithal
Keyword(s):  
Health Monitoring ◽  
Healthcare Services ◽  
Cyber Attacks ◽  
Healthcare Applications ◽  
Privacy And Security ◽  
Security Issues ◽  
Efficient Communication ◽  
Three Layer Architecture ◽  
Patient Health ◽  
The Internet Of Things

A majority of the applications now go wireless involving IoT as a technology to communicate to their respective destination. IoT is considered as a future of internet. The internet of things integration and efficient communication of the patient health monitoring parameters is the need of the hour in this pandemic. This chapter discusses the three-layer architecture involving hardware communication protocols supporting a layer of healthcare services and applications. Also, the data-guarantee, security and integrity issues, threats risks, and solutions involving deployment of efficient privacy, control, integration methods to confront various prominent and erroneous data manipulation techniques, malicious, and a series of cyber-attacks are proposed. The deployment of various efficient privacy and security protocols in IoT networks is of extreme need to ensure the confidentiality, access-control, authentication, and integrity of the health data transferred and to guarantee the availability of the services to the user at any point of time.

scholarly journals Internet of things (IoT) based health monitoring system and challenges

2018 ◽  
Vol 7 (1.7) ◽  
pp. 175 ◽  
Author(s):  
M Sathya ◽  
S Madhan ◽  
K Jayanthi
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Health Monitoring ◽  
Healthcare Services ◽  
The Body ◽  
Healthcare Applications ◽  
Health Monitoring System ◽  
The People ◽  
Improved Outcomes ◽  
The World

Among the applications that Internet of Things (IoT) facilitated to the world, Healthcare applications are most important. In general, IoT has been widely used to interconnect the advanced medical resources and to offer smart and effective healthcare services to the people.  The advanced sensors can be either worn or be embedded into the body of the patients, so as to continously monitor their health. The information collected in such manner, can be analzed, aggregated and mined to do the early prediction of diseases.  The processing algorithms assist the physicians for the personalization of treatment and it helps to make the health care economical, at the same time, with improved outcomes. Also, in this paper, we highlight the challenges in the implementation of IoT health monitoring system in real world.

scholarly journals E -Patient Deidentified Record Integration using Cloud Computing

2020 ◽  
Vol 9 (2) ◽  
pp. 157-160
Keyword(s):  
Public Health ◽  
Cloud Computing ◽  
Data Storage ◽  
Modern Architecture ◽  
Public Health Care ◽  
Health Record ◽  
Related Data ◽  
Patient Health ◽  
Health Related ◽  
Care Problems

With the development of science and technology, the design of modern architecture is becoming more and more attractive. Now a days the medical fields become more wide development in machinery the same way the data storage also developed higher . The main reason for proposing the paper is to store the patient data into the cloud. The patient can access the data from anywhere at any time. . The delivering of public health solutions can lead to increased efficiency in health related data. Many nations across the globe have launched aggressive stimulus programs aimed at solving public health care problems in efficient way .This paper proposed for maintain the patient health record in cloud computing.

scholarly journals Leveraging Fog Computing for a Secure and Smart Healthcare

2019 ◽  
Vol 8 (2) ◽  
pp. 6117-6122
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Fog Computing ◽  
Healthcare Services ◽  
Decision Fusion ◽  
Sensor Data ◽  
Smart Sensors ◽  
Healthcare Applications ◽  
Smart Healthcare ◽  
Iot Devices

From hairbrushes to scales, all devices have sensors embedded in them to collect and communicate data. Smart Healthcare is proving to be an exciting and dynamic area with lots of room for new innovations and the increasing consumer demand for proactive health monitoring devices. Having India poised to spend a lot on healthcare, recent innovations using IoT devices and big data analytics can propel the healthcare industry into the future. Smart healthcare providers are leveraging cloud computing with fog computing to optimize their healthcare services. These smart healthcare applications depend mainly on the raw sensor data collected, aggregated, and analyzed by the smart sensors. Smart sensors these days generate myriad amount of data like text, image, audio, and video that require real-time or batch processing. Aggregating these diverse data from various types of resources remains a dispute till date. To resolve this issue, we have proposed a softwarized infrastructure that integrates cloud computing and fog computing, message brokers, and Tor for supple, safe, viable, and a concealed IoT exploitation for smart healthcare applications and services. Our proposed platform employs machine-to-machine (M2M) messaging, data fusion and decision fusion, and uses rule-based beacons for seamless data management. Our proposed flexBeacon system provides an IoT infrastructure that is nimble, secure, flexible, private, and reasonable. We have also proposed an M2M transceiver and microcontroller for flawless data incorporation of smart healthcare applications and services. Based on the IoT devices’ technical capabilities and resource availability, some systems are capable of making use of homomorphic encryption and zero knowledge proofs. The proposed flexBeacon platform offers seamless management and data aggregation without loss of accuracy. The cost of implementing a softwarized IoT for smart healthcare is also greatly reduced.

Smart Healthcare Monitoring System for War-End Soldiers Using CNN

2020 ◽  
pp. 97-131 ◽  
Author(s):  
Preethi S. ◽  
Prasannadevi V. ◽  
Arunadevi B.
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Military Personnel ◽  
Vital Role ◽  
Monitoring Systems ◽  
Health Issues ◽  
Smart Healthcare ◽  
Emergency Assistance ◽  
Healthcare Monitoring ◽  
Wearable Monitoring Systems

Health monitoring plays a vital role to overcome the health issues of the patients. According to research, approximately 2000 people die due to carelessness of monitoring their health. Wearable monitoring systems record the activities of daily life. A 24-hour wearable monitoring system was developed and changes were identified. This project is designed for helping the soldiers to maintain their health conditions and to identify their health issues at war's end. Different health parameters are monitored using sensors, and the data are transmitted through GSM to the receiver, and the received data are analyzed using convolutional neural networks, which is performed in cloud IoT. If any abnormalities are found during the analyzing process, the message is sent to military personnel and the doctor at the camp so that they could take necessary actions to recover the ill soldier from the war field and provide emergency assistance on time. The location of the soldier is also shared using the input from GPS modem in the smart jacket.

Deep Learning in Early Detection of Alzheimer's

2019 ◽  
pp. 153-162
Author(s):  
Anitha S. Pillai ◽  
Bindu Menon
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Early Detection ◽  
Big Data Analytics ◽  
Vital Role ◽  
Smart Devices ◽  
Brain Images ◽  
Related Data ◽  
Computer Scientists ◽  
Health Related

Advancement in technology has paved the way for the growth of big data. We are able to exploit this data to a great extent as the costs of collecting, storing, and analyzing a large volume of data have plummeted considerably. There is an exponential increase in the amount of health-related data being generated by smart devices. Requisite for proper mining of the data for knowledge discovery and therapeutic product development is very essential. The expanding field of big data analytics is playing a vital role in healthcare practices and research. A large number of people are being affected by Alzheimer's Disease (AD), and as a result, it becomes very challenging for the family members to handle these individuals. The objective of this chapter is to highlight how deep learning can be used for the early diagnosis of AD and present the outcomes of research studies of both neurologists and computer scientists. The chapter gives introduction to big data, deep learning, AD, biomarkers, and brain images and concludes by suggesting blood biomarker as an ideal solution for early detection of AD.

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