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Advancements in biomedical sensors are crucial for early disease diagnosis and monitoring. This review explores the transition to smart sensing using technologies like the Internet of Things (IoT) for future eHealth applications.

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Area of Science:

  • Biomedical Engineering
  • Digital Health
  • Sensor Technology

Background:

  • Biomedical sensors are vital for early disease diagnosis and therapy monitoring, experiencing rapid development.
  • Current sensors face limitations in smart diagnostics, particularly for pandemics, highlighting the need for improvement.
  • The digital health era (Healthcare 4.0) demands advanced biomedical sensing capabilities.

Purpose of the Study:

  • To emphasize the necessity of transitioning towards smart biomedical/diagnostic sensing.
  • To outline approaches for achieving smart sensing using digital technologies like IoT and AI.
  • To review smartphone/reader-based biomedical sensors for eHealth applications.

Main Methods:

  • Overview of current trends and challenges in biomedical sensor development.
  • Discussion of digital technologies such as Internet of Things (IoT) and artificial intelligence (AI).
  • Compilation of various smartphone/reader-based biomedical sensor types and their applications.

Main Results:

  • Identified the critical role of smart biomedical sensing in the future of eHealth.
  • Highlighted the potential of IoT, AI, and smartphone-based platforms for advanced diagnostics.
  • Presented a review of diverse biosensing applications using optical, electrical, and electrochemical methods.

Conclusions:

  • The transition to smart biomedical sensing is essential for meeting the demands of digital health.
  • Smartphone/reader-based sensors are key enablers for future eHealth diagnostic devices.
  • Addressing challenges and adopting new digital technologies will drive progress in this field.