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Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities.

Haoran Yu¹, Mingqi Ma¹, Baishun Zhang¹

¹School of Integrated Circuits, Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei 230601, China.

Sensors (Basel, Switzerland)

|July 12, 2025

Summary

Advancements in bionic sensor technology are improving the collection of human biological signals. This review covers key areas like bioelectric, biomarker, and biomechanical sensors for future innovations.

Keywords:

bioelectric signal sensors biomarker sensors biomechanical sensors bionic sensors multimodal integrated sensors wearable devices

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Area of Science:

Biomedical Engineering
Materials Science
Sensor Technology

Background:

Bionic sensors are crucial for monitoring human biological signals, encompassing bioelectrical, biomechanical, and molecular data.
Materials science, AI, and wearable tech advancements present new opportunities and challenges for bionic sensor development.

Purpose of the Study:

To systematically review recent advancements in bionic sensor technology for biometric acquisition and monitoring.
To focus on key technical directions including bioelectric, biomarker, biomechanical, and multimodal integrated sensors.

Main Methods:

Systematic literature review of bionic sensor technology.
Categorization of sensors based on signal type: bioelectric (ECG, EEG, EMG), biomarker (small, large, complex-state), biomechanical, and multimodal integrated sensors.

Main Results:

Significant progress has been made in bioelectric signal sensors (ECG, EEG, EMG), biomarker sensors, and biomechanical sensors.
The development of multimodal integrated sensors enables comprehensive monitoring of human biological signals.
These advancements are driving innovation in medical diagnosis, human-computer interaction, and wearable devices.

Conclusions:

Bionic sensor technology is rapidly evolving, driven by interdisciplinary advancements.
Future trends point towards more sophisticated and integrated bionic sensors for enhanced health monitoring and human-computer interaction.
Continued research in materials science and AI will be pivotal for next-generation bionic sensors.