A Secure Proposed Method for Real-Time Preserving Transmitted Biomedical Signals Based on Virtual Instruments
Year: 2023
Type: article
Abstract: Biomedical signals, encompassing electrocardiograms (ECG), electroencephalograms (EEG), electrooculograms (EOG), and other physiological data, are subjected to collection, preprocessing, and information extraction to discern patterns and trends.Given the transmission of these physiological activities over the Internet, the potential for unauthorized access necessitates stringent scrutiny.To mitigate data loss and theft, encryption of biomedical signals is implemented, with a particular emphasis on preserving the confidentiality of biomedical data.Commonly encrypted data include .datsignal files, images, confidential emails, user data, and directories.This paper proposes a robust method for encrypting and decrypting .datfiles, specifically for ECG signals, utilizing the discrete fourier transform (DFT) and its inverse (IDFT).Implemented using LabVIEW software, the encryption module operates by accepting the .datfile input, converting the data into ASCII values, and applying DFT.Data encryption is achieved with a security key, with the encrypted data subsequently stored for transmission.The decryption module decodes the incoming data using the security key and applies IDFT.The resultant ASCII values are converted back into their original string format.Findings demonstrate enhanced security for signals and information transmitted over long distances, underscoring the efficacy of the proposed encryption method.
DOI: 10.18280/mmep.100618
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4390057713