Optical microfiber intelligent watchband for cuffless blood pressure monitoring

Jiaqi Chen, Yue Zhang, Bin Liu*, Juan Liu, Hong Yang, Yingying Hu, Yue Fu, Qiang Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Hypertension is a very common chronic disease in people's lives, which increases the risk of cardiovascular disease. However, existing wearable continuous blood pressure monitoring devices have poor comfort, are susceptible to interference, rely on feature extraction for prediction, and have poor generalization ability between individuals, which hinders their application in continuous blood pressure monitoring. Here, we have developed a system based on optical microfiber intelligent watchband for cuffless blood pressure monitoring, which combines fiber optic sensor preparation, optical signal acquisition circuit integration, signal processing methods, and the construction of residual neural network 1D-ResNet to achieve wearable continuous monitoring of arterial dynamic blood pressure. By using single-mode micro fiber (SMMF) technology for 3D packaging, pulse signals can be quickly and accurately captured. The collection and data processing of pulse signals from 100 subjects, as well as model training, resulted in a Mean Error (ME) ± Standard Deviation (SD) of −0.43 ± 4.58 and −0.40 ± 2.77 mmHg for systolic blood pressure (SBP)and diastolic blood pressure (DBP), both in compliance with the standards of The Association for the Advancement of Medical Instrumentation (AAMI) and the British Hypertension Society (BHS). This preliminarily demonstrates the ability and versatility of SMMF wearable devices as reliable blood pressure measurement products.
Original languageEnglish
Article number116325
Pages (from-to)1-10
Number of pages10
JournalSensors and Actuators A: Physical
Volume386
Early online date19 Feb 2025
DOIs
Publication statusE-pub ahead of print - 19 Feb 2025

Keywords

  • Micro fiber sensor
  • Wearable device
  • Blood pressure monitoring
  • Neural network

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