A Behind-The-Ear Patch-Type Mental Healthcare Integrated Interface with Adaptive Multimodal Offset Compensation and...

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Mental Healthcare Technology

Background:

• Mental healthcare applications require unobtrusive and comprehensive physiological monitoring.
• Existing wearable solutions often lack the integration of diverse biosensing capabilities and adaptive compensation.

Purpose of the Study:

• To develop an integrated behind-the-ear (BTE) interface for mental healthcare applications.
• To design a multimodal biomedical integrated circuit (IC) with adaptive compensation for enhanced signal acquisition.

Main Methods:

• The study presents an optimized BTE electrode configuration and a wide multimodal biomedical IC supporting electroencephalography (ExG), photoplethysmogram (PPG), galvanic skin response (GSR), and bio-impedance (BioZ) channels.
• Advanced techniques such as offset compensated auxiliary path (OCAP) and dual resolution external positive feedback loop (DR-EPFL) were employed to boost input impedance for ExG channels.
• An area and energy-efficient GSR-embedded ECG recording scheme, dual-slope PPG channel with parasitic capacitance compensation, adaptive stimulator, and high dynamic range BioZ channel were integrated.

Main Results:

• The developed IC features 8 ExG, 1 PPG, 1 GSR, 1 BioZ, and 2 stimulation channels with high input impedance (2.5GΩ for ExG).
• The system-level feasibility was validated through in-vivo stress measurements using a virtual reality (VR) environment.
• Effective mental health monitoring capabilities were demonstrated.

Conclusions:

• The BTE integrated interface offers a promising solution for continuous and comprehensive mental health monitoring.
• The multimodal sensing capabilities and adaptive compensation techniques enable accurate physiological signal acquisition for stress detection.
• The developed prototype demonstrates the potential for real-world application in mental healthcare.