Silicon‐Embedded Multifunctional Heterogeneous Integration for Miniaturized Photoplethysmography Detection Devices

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Authors: Lang Chen, Shizun Hu, Zhou Yang, Shitao Shen, Pan Zhang, H Xu, Chi Zhang, Wei Wang
Cited by: 3
References: 18

Abstract

The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging. To overcome this, a silicon-embedded multifunctional heterogeneous integration method based on top-down engineering was proposed. As a representative application, a wearable photoplethysmography detection system was demonstrated. The functional modules of this system required for sensing, acquisition, and processing were embedded and reconnected on the same silicon interposer to form a new integrated chip. A thermal-aware floorplan optimization algorithm was employed to improve the thermal performance of the integrated chip, achieving a 6.5°C reduction in the peak temperature. The chip accurately detected physiological changes across different frequency ranges following physical activity performed at varying intensities by test participants. Compared to traditional integration methods, the proposed method achieved a 46% and 94.7% reduction in power consumption and volume, respectively, and a remarkable 90% increase in functional unit density. This technology promotes rapid, flexible, and low-cost manufacturing of multifunctional chips toward the development of next-generation multifunctional, low-power, miniaturized electronic devices.

Fields of Study & Subjects

Non-Invasive Vital Sign Monitoring Advanced Sensor and Energy Harvesting Materials Context-Aware Activity Recognition Systems

Publication details

Journal / source
Advanced Science
Publisher
Wiley
Volume
13
Issue
40
Pages
e75416–e75416
Publication date
28 April 2026
Language
EN