Medical Data Compression for Lossless Data Transmission and Archival

2021 ◽  
pp. 55-74
Author(s):  
Ramesh Sekaran ◽  
Vimal Kumar Maaanuguru Nagaraju ◽  
Vijayalakshmi Jagadeesan ◽  
Manikandan Ramachandran ◽  
Ambeshwar Kumar
Keyword(s):  
Data Compression ◽  
Data Transmission ◽  
Medical Data

Quantization Algorithms in Healthcare Information Telematics Using Wireless Interactive Services of Digital Video Broadcasting.

2020 ◽  
Vol 13 ◽  
Author(s):  
Konstantinos Kardaras ◽  
George I. Lambrou ◽  
Dimitrios Koutsouris
Keyword(s):  
Data Compression ◽  
Data Transmission ◽  
Digital Video ◽  
Digital Television ◽  
End User ◽  
Digital Video Broadcasting ◽  
New Era ◽  
Video Broadcasting ◽  
Television Network ◽  
Interactive Services

Background: In the new era of wireless communications new challenges emerge including the provision of various services over the digital television network. In particular, such services become more important when referring to the tele-medical applications through terrestrial Digital Video Broadcasting (DVB). Objective: One of the most significant aspects of video broadcasting is the quality and information content of data. Towards that end several algorithms have been proposed for image processing in order to achieve the most convenient data compression. Methods: Given that medical video and data are highly demanding in terms of resources it is imperative to find methods and algorithms that will facilitate medical data transmission with ordinary infrastructure such as DVB. Results: In the present work we have utilized a quantization algorithm for data compression and we have attempted to transform video signal in such a way that would transmit information and data with a minimum loss in quality and succeed a near maximum End-user approval. Conclusions: Such approaches are proven to be of great significance in emergency handling situations, which also include health care and emergency care applications.

Improved authentication and computation of medical data transmission in the secure IoT using hyperelliptic curve cryptography

2021 ◽  
Author(s):  
B. Prasanalakshmi ◽  
K. Murugan ◽  
Karthik Srinivasan ◽  
S. Shridevi ◽  
Shermin Shamsudheen ◽  
...  
Keyword(s):  
Data Transmission ◽  
Hyperelliptic Curve ◽  
Medical Data ◽  
Hyperelliptic Curve Cryptography

Secure medical data transmission for DT-WBAN in military environment

2021 ◽  
Author(s):  
G. Saravanakumar ◽  
T.M. Devi ◽  
N. Karthikeyan ◽  
B. John Samuel
Keyword(s):  
Data Transmission ◽  
Medical Data

Data Ownership and Secure Medical Data Transmission using Optimal Multiple Key-Based Homomorphic Encryption with Hyperledger Blockchain

2021 ◽  
Author(s):  
Naresh Sammeta ◽  
Latha Parthiban
Keyword(s):  
Data Transmission ◽  
Homomorphic Encryption ◽  
Medical Data ◽  
Healthcare Sector ◽  
Transmission Model ◽  
Generation Process ◽  
Suggested Model ◽  
Blockchain Technology ◽  
Proposed Model ◽  
Data Ownership

Recent healthcare systems are defined as highly complex and expensive. But it can be decreased with enhanced electronic health records (EHR) management, using blockchain technology. The healthcare sector in today’s world needs to address two major issues, namely data ownership and data security. Therefore, blockchain technology is employed to access and distribute the EHRs. With this motivation, this paper presents novel data ownership and secure medical data transmission model using optimal multiple key-based homomorphic encryption (MHE) with Hyperledger blockchain (OMHE-HBC). The presented OMHE-HBC model enables the patients to access their own data, provide permission to hospital authorities, revoke permission from hospital authorities, and permit emergency contacts. The proposed model involves the MHE technique to securely transmit the data to the cloud and prevent unauthorized access to it. Besides, the optimal key generation process in the MHE technique takes place using a hosted cuckoo optimization (HCO) algorithm. In addition, the proposed model enables sharing of EHRs by the use of multi-channel HBC, which makes use of one blockchain to save patient visits and another one for the medical institutions in recoding links that point to EHRs stored in external systems. A complete set of experiments were carried out in order to validate the performance of the suggested model, and the results were analyzed under many aspects. A comprehensive comparison of results analysis reveals that the suggested model outperforms the other techniques.

Optimal multiple key‐based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis

2021 ◽  
Author(s):  
Jafar A. Alzubi ◽  
Omar A. Alzubi ◽  
Majdi Beseiso ◽  
Anil Kumar Budati ◽  
K. Shankar
Keyword(s):  
Neural Networks ◽  
Data Transmission ◽  
Deep Neural Networks ◽  
Homomorphic Encryption ◽  
Medical Data

scholarly journals Relay-Assisted D2D Transmission for Mobile Health Applications

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4417 ◽  
Author(s):  
Hongcheng Huang ◽  
Wei Xiang ◽  
Yang Tao ◽  
Biao Liu ◽  
Min Hu
Keyword(s):  
Energy Consumption ◽  
Mobile Health ◽  
Data Transmission ◽  
Transmission Rate ◽  
Relay Node ◽  
Medical Data ◽  
Spectrum Efficiency ◽  
D2d Communication ◽  
Relay Nodes ◽  
Relay Communication

Relay-assisted Device-to-Device (D2D) communication, one of the important transmission modes in mobile health systems, can provide high transmission quality for servicing users at the edge of system coverage. However, the quality of the D2D relay communication is largely limited by the relay nodes. When a poor node is selected to assist the source node in the data transmission, it is likely to result in the loss of medical data and inaccurate transmission. Therefore, this paper focuses on how to select relay modes and relay nodes to improve the reliability of medical data transmission. Firstly, in order to eliminate the relay nodes with low energy or poor willingness, the acceptable energy consumption metric of relay nodes is proposed in this paper. The relay mode of each relay node is determined by the acceptable energy consumption metric, which can ensure the physical reliability of the relay communication links. Then a trust metric is proposed to measure the social reliability of each relay link, further excluding the malicious relay nodes. Finally, this paper proposes a relay selection algorithm based on compromise factors (RSCF). With the help of the proposed algorithm, the reliability of the relay communication can be guaranteed, and the spectrum efficiency can be promoted greatly. The simulation results show that the relay nodes selected by RSCF algorithm can greatly improve transmission rate and reliability compared with the traditional relay-assisted D2D communication schemes.

A cognitive technology based healthcare monitoring system and medical data transmission

Measurement ◽  
2019 ◽  
Vol 146 ◽  
pp. 322-332 ◽  
Author(s):  
M. Arun Kumar ◽  
R. Vimala ◽  
K.R. Aravind Britto
Keyword(s):  
Monitoring System ◽  
Data Transmission ◽  
Medical Data ◽  
Cognitive Technology ◽  
Healthcare Monitoring
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