Scholarlink

Wearable medical devices for patient monitoring have experienced rapid growth, fueled by advances in telemedicine and remote data transmission technologies. Ensuring the security of sensitive information is crucial to prevent unauthorized access and potential data corruption, which could compromise patient safety and clinical decision-making. This paper presents a hardware implementation of the enhanced AES-128 encryption algorithm in VHDL on a Virtex-7 FPGA, achieving efficient utilization of hardware resources, requiring only 2450 slices. The enhanced AES-128 incorporates a novel substitution box (S-box) and a pseudo-random key generation method, which generates a unique encryption key for each process. The implementation was evaluated using an ECG signal acquired with the MAX86150 evaluation system, demonstrating effective encryption and decryption while preserving signal integrity. The results confirm that the proposed design is suitable for medical devices with limited resources, offering real-time processing, low power consumption, and robust protection of sensitive health data, thus supporting secure and reliable remote patient monitoring applications.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Secure and Efficient AES-128 Encryption of ECG Signals on FPGA for Telemedicine Applications

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Claudia-Georgiana Barbura,
  • Paul Faragó,
  • Sorin Hintea

摘要

Wearable medical devices for patient monitoring have experienced rapid growth, fueled by advances in telemedicine and remote data transmission technologies. Ensuring the security of sensitive information is crucial to prevent unauthorized access and potential data corruption, which could compromise patient safety and clinical decision-making. This paper presents a hardware implementation of the enhanced AES-128 encryption algorithm in VHDL on a Virtex-7 FPGA, achieving efficient utilization of hardware resources, requiring only 2450 slices. The enhanced AES-128 incorporates a novel substitution box (S-box) and a pseudo-random key generation method, which generates a unique encryption key for each process. The implementation was evaluated using an ECG signal acquired with the MAX86150 evaluation system, demonstrating effective encryption and decryption while preserving signal integrity. The results confirm that the proposed design is suitable for medical devices with limited resources, offering real-time processing, low power consumption, and robust protection of sensitive health data, thus supporting secure and reliable remote patient monitoring applications.