[11] An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating
Published in IEEE Internet of Things Journal, 2024
Abstract
Background Cardiovascular disease remains a leading global health challenge, necessitating precise and continuous monitoring of blood pressure (BP) and cardiac function. Traditional non-invasive measurement techniques often present operational complexities and discomfort, while photoplethysmography (PPG) technology lacks the ability to capture comprehensive hemodynamic parameters.
Methods Herein, we introduce an innovative Internet of Medical Things (IoMT) framework for personalized hemodynamic assessment, driven by advanced flexible sensing technologies and multi-scale modeling. Specifically, we propose a pulse wave detection system utilizing micro-fiber Bragg grating (lFBG) sensors for comprehensive spatiotemporal monitoring.
Results The system leverages a Multi-scale Perception Network (MSP-Net) to achieve precise BP estimation, with mean errors (ME) and standard deviations (SD) of -0.05 ± 2.15 mmHg for systolic blood pressure (SBP) and -0.19 ± 3.48 mmHg for diastolic blood pressure (DBP). The system’s performance surpasses traditional PPG-based methods across multiple hemodynamic parameters. Leveraging pre-training and fine-tuning strategies, this study realizes personalized estimation models, furnishing technical support for precision medicine. Furthermore, we utilize a cloud-edge collaborative framework to achieve hemodynamic assessment across multiple IoMT devices via LAN and the RV1126 platform, providing real-time feedback, thereby establishing a closed-loop control system.
Conclusions Our study presents an innovative approach for the comprehensive assessment of cardiovascular function and the realization of personalized medicine, potentially serving as a promising solution for Healthcare 5.0 applications.
Recommended citation: Liu Jian, Hengtian Zhu, Wei Xiang, Shuaicong Hu, Qihan Hu, Daomiao Wang, Huan Yang, Zhengyi Mao, Fei Xu, and Cuiwei Yang. "An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating." IEEE Internet of Things Journal (2024).
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