Multi-modal Flexible Optoelectronics for Optical Wireless Data Transfer and Systolic Blood Pressure Monitoring
- Author(s)
- Changeui Hong
- Type
- Thesis
- Degree
- Doctor
- Department
- 대학원 기계공학부
- Advisor
- Lee, Jongho
- Abstract
- As the global population ages, the demand for advanced medical electronic devices for continuous physiological monitoring and functional support has grown rapidly. In modern medical electronics, real-time data acquisition is essential. However, conventional devices often rely on rigid and bulky structures that cause physical discomfort and limit long-term patient compliance. While flexible electronics have emerged as a solution for conformal integration with biological tissues, critical challenges remain in establishing reliable wireless data communication for implants and realizing repetitive recalibration-free blood pressure monitoring for wearables. To address these limitations, this dissertation proposes the development of multi-modal flexible optoelectronics utilizing custom-made microscale light-emitting diodes (LEDs), photodetectors (PDs), and ultra-thin electrodes.
The first part of this research introduces a bi-directional optical wireless communication system for implantable electronics. By transmitting light through biological tissues, the optical wireless device overcomes the electromagnetic interference (EMI) and MRI incompatibility inherent in conventional coil-based telemetry, enabling real-time, on-demand acquisition of vital signs. The second part presents a cuffless, multi-modal flexible sensor for continuous systolic blood pressure (SBP) monitoring by utilizing synchronized ECG and PPG signals. The unified model incorporating age, BMI, and a one-time offset compensation achieves clinical-grade accuracy satisfying ISO 81060-2 standards without the burden of frequent recalibration. Ultimately, the integration of these flexible optoelectronic platforms offers a robust and universal solution, significantly advancing both implantable telemetry and wearable cardiovascular monitoring for seamless daily healthcare.
- URI
- https://scholar.gist.ac.kr/handle/local/34584
- Fulltext
- http://gist.dcollection.net/common/orgView/200001005521
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