Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things

2018 ◽  
Vol 42 (12) ◽  
Author(s):  
Uzair Iqbal ◽  
Teh Ying Wah ◽  
Muhammad Habib ur Rehman ◽  
Ghulam Mujtaba ◽  
Muhammad Imran ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
The Internet ◽  
Cardiac Diseases ◽  
Deterministic Learning ◽  
Internet Of Medical Things

Mutual Authentication Scheme for the Device-to-Server Communication in the Internet of Medical Things

2021 ◽  
pp. 1-1
Author(s):  
Jiangfeng Sun ◽  
Fazlullah Khan ◽  
Junxia Li ◽  
Mohammad Dahman Alshehri ◽  
Ryan Alturki ◽  
...  
Keyword(s):  
Mutual Authentication ◽  
Authentication Scheme ◽  
The Internet ◽  
Internet Of Medical Things

EWPS: Emergency data communication in the Internet of Medical Things

2021 ◽  
pp. 1-1
Author(s):  
S. Gopikrishnan ◽  
P. Priakanth ◽  
Gautam Srivastava ◽  
Giancarlo Fortino
Keyword(s):  
Data Communication ◽  
The Internet ◽  
Internet Of Medical Things

scholarly journals On the internet of medical things

2020 ◽  
Vol 63 (8) ◽  
pp. 5-5
Author(s):  
Vinton G. Cerf
Keyword(s):  
The Internet ◽  
Internet Of Medical Things

scholarly journals A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 51286-51296 ◽  
Author(s):  
Zhi Liu ◽  
Yankun Cao ◽  
Lizhen Cui ◽  
Jiahua Song ◽  
Guangzhe Zhao
Keyword(s):  
Wearable Sensors ◽  
Fall Detection ◽  
The Internet ◽  
Benchmark Database ◽  
Baseline Evaluation ◽  
Internet Of Medical Things

scholarly journals A Review on Data Securing Techniques using Internet of Medical Things

2021 ◽  
Vol 3 (3) ◽  
pp. 150-163
Author(s):  
P. P. Joby
Keyword(s):  
Older People ◽  
Basic Principle ◽  
Medical Devices ◽  
Data Security ◽  
Critical Factor ◽  
The Internet ◽  
Major Goal ◽  
Internet Of Medical Things ◽  
Machine To Machine Communication ◽  
Machine Communication

At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted or collected data is stored in cloud modules unlike amazon and Mhealth, making it accessible remotely. Although there are countless advantages in IoMT, the critical factor lies in data security or encryption. A surplus number of threat related to devices, connectivity, and cloud might occur under unforeseen or threatening circumstances which makes the person in the situation helpless. Yet, with the help of data security techniques designed especially for Internet of Medical Things, it is possible to address these challenges. In this paper, a review on data securing techniques for the internet of medical things is made along with a discussion on related concepts.

CYBERSECURITY ARCHITECTURE FOR THE INTERNET OF MEDICAL THINGS AND CONNECTED DEVICES USING BLOCKCHAIN

2021 ◽  
pp. 2150013
Author(s):  
Muhammad Elsayeh ◽  
Kadry Ali Ezzat ◽  
Hany El-Nashar ◽  
Lamia Nabil Omran
Keyword(s):  
Healthcare Providers ◽  
Vital Signs ◽  
Third Party ◽  
Security And Privacy ◽  
The Internet ◽  
Security Architecture ◽  
Healthcare Organizations ◽  
Blockchain Technology ◽  
Huge Data ◽  
Internet Of Medical Things

The internet of medical things (IoMT) has a great role in improving the health around the world. IoMT is having a great impact in our life in which the clinical data of the patient is observed and checked and then can be transferred to the third party for using in the future such as the cloud. IoMT is a huge data system with a continuous developing rate, which implies that we should keep a lot of data secure. We propose a combined security architecture that fuses the standard architecture and new blockchain technology. Blockchain is a temper digital ledger which gives peer-to-peer communication and provides communication between non-trust individuals. Using standard in-depth strategy and blockchain, we are able to develop a method to collect vital signs data from IoMT and connected devices and use blockchain to store and retrieve the collected data in a secure and decentralized fashion within a closed system, suitable for healthcare providers such as private clinics, hospitals, and healthcare organizations were sharing data with each other is required. Right now initially examine the innovation behind Blockchain then propose IoMT-based security architecture utilizing Blockchain to guarantee the security of information transmission between associated nodes. Experimental analysis shows that the proposed scheme presents a non-significant overhead; yet it brings major advantages to meet the standard security and privacy requirements in IoMT.

The adaptability of assistive mobility devices and the role of the internet of medical things: A literature review (Preprint)

2021 ◽  
Author(s):  
Daniel OLADELE ◽  
Elisha Didam Markus ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Sensor Fusion ◽  
Autonomous Navigation ◽  
The Internet ◽  
Training Time ◽  
Mobility Devices ◽  
The Status ◽  
Internet Of Medical Things ◽  
And Performance ◽  
Human Device

UNSTRUCTURED With the projected upsurge in the percentage of persons with some form of disability, there is a significant increase in the need for assistive mobility devices. However, these mobility aids are hardly effective without their ability to adapt to the user’s needs. This is achieved by improving the confidence of the information used or interaction between the user and his device also referred to as adaptation. In the recent past, there has been little effort to provide literature reviews on the adaptability of assistive mobility devices (AMDs). This paper systematically reviews the recent assistive mobility technologies, over the past decade, according to their adaptation and the role that the Internet of Medical Things (IoMT) has played in the adaptability of these technologies. The information gathered in the study provides awareness of the status of adaptive mobility technology and serves as a source and reference of information to healthcare professionals, and researchers. The paper starts by highlighting recent technologies according to the user system interface (human/device interface), then presents some recent technologies in perception and sensor fusion (autonomous navigation) for adaptability, and finally, IoMT frameworks for AMDs. Some notable limitations are also discussed. The findings of the review reveal that an improvement in the adaptation of assistive mobility systems would require a reduction in the training time and avoidance of cognitive overload. Furthermore, sensor fusion and classification accuracy are critical to achieving real-world testing requirements. Finally, the trade-off between cost and performance needs to be considered in the commercialization of these devices.

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