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Compression and Encryption of Vital Signals Using an SoC-FPGA
Compresión y encriptación de señales de signos vitales usando un SoC-FPGA
DOI:
https://doi.org/10.15446/dyna.v88n219.92532Palabras clave:
AES algorithm;, biomedical signals:, data compression;, encryption;, LZW algorithm;, SoC-FPGA. (en)AES;;, Algoritmo LZW;, compresión de datos;, encriptación;, señales biomédicas;, SoC-FPGA. (es)
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This article presents the implementation of a remote monitoring system of biomedical signals with cybersecurity support and compression of vital sign signals and data of the patient. This system uses a low-cost microsystem for encrypting and compressing the information using the Lempel–Ziv–Welch (LZW) lossless compression algorithm and the Advanced Encryption Standard (AES). In this case, WolfSSL library is used for the implementation of the Transport Layer Security (TLS) protocol, whose encryption function is accelerated by the AES processor designed on a System on Chip - Field Programmable Gate Array (SoC-FPGA) device. A multiparameter board and an SoC-FPGA development board make up the vital signs measurement system, which was calibrated and verified by a commercial patient simulator. Data transmission tests were carried out from the measurement system to the monitoring application developed in LabVIEW and implemented on a personal computer (PC), where vital signs and data of the patient are decrypted and decompressed. Also, it was possible to verify a significant improvement in the performance of the TLS connection. From the results obtained, it can be concluded that the designed microsystem allows to compress, encrypt, and transmit biomedical data in real-time and without loss of information. The microsystem is very suitable for e-health platforms and/or e-health devices that use unsecured communication networks with limited bandwidth.
Este artículo presenta la implementación de un sistema de monitoreo remoto para señales biomédicas con soporte de ciberseguridad y compresión de señales de signos vitales y datos del paciente. Este sistema utiliza un microsistema de bajo costo para encriptar y comprimir la información utilizando el algoritmo de compresión sin pérdidas Lempel – Ziv – Welch (LZW) y el Estándar de Encriptación Avanzado (AES). En este caso, la biblioteca WolfSSL se utiliza para la implementación del protocolo Transport Layer Security (TLS), cuya función para la encriptación es acelerada por el procesador AES diseñado sobre un dispositivo SoC-FPGA. Se realizaron pruebas de transmisión de datos desde el sistema de medición a la aplicación software desarrollada en LabVIEW e implementada en un computador personal (PC), donde se desencriptan y descomprimen los signos vitales y los datos del paciente. El microsistema puede ser utilizado en plataformas e-health y/o dispositivos e-health que utilizan redes de comunicación no seguras con ancho de banda limitado.
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