Blockchain-Enabled Multi-Sensor Data Fusion with Healthcare Data Processing – A Review

  • Vivek Sharma S et al.
Keywords: Blockchain, Multi-sensor data fusion, Healthcare data, Remote Health Monitoring, Data Security, Real-time monitoring

Abstract

                Blockchain technology and the synthesis of data from several sensors have the potential to revolutionize remote health monitoring techniques in the healthcare industry. The management of healthcare data using multi-sensor data fusion and block-chain integration was thoroughly reviewed in this research. The study examines how these technologies might improve data security, privacy, and interoperability while enabling real-time patient monitoring and analysis. This review paper discusses the advantages and disadvantages of using these cutting-edge methods while highlighting the important findings from numerous study articles. Healthcare data is guaranteed to be immutable and transparent by the proposed block-chain-based models, and multi-sensor data fusion makes it possible to combine various data sources for a comprehensive understanding of patient health. The patient-centric approach gives people the power to control their health information and actively engage in healthcare decisions. For wider use, the assessment does recognise the need to address issues with standards, scalability, and regulatory compliance.This paper emphasizes the significance of blockchain with multi-sensor data fusion in achieving secure, efficient, and patient-centric remote health monitoring, paving the way for a data-driven and personalized healthcare future.

Author Biography

Vivek Sharma S et al.

Vivek Sharma S1 , Dr.Mahesh Kaluti2, Shruthi Shetty J3 , Shruthi4 , Dr. Shilpashree S5, Nayana R6

1 Research Scholar, P.E.S College of Engineering, Mandya. Affiliated to VTU, Belagavi and School of Computer Science and Engineering, REVA University, Bangalore, Karnataka 560064, India

2 Department of Computer Science and Engineering, P.E.S College of Engineering, Mandya.

3 Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, India

4 Department of Computer Science and Engineering, Navkis College of Engineering, Hassan, India.

5 Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India.

6 School of Computer Science and Engineering, REVA University, Bangalore, Karnataka 560064, India.

Published
2024-02-04
Issue
Volume 2024
Section
Regular Issue

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