journal article·2024-02-21

Optical Microfiber Intelligent Sensor: Wearable Cardiorespiratory and Behavior Monitoring with a Flexible Wave-Shaped Polymer Optical Microfiber

Zhuo Wang, Ziyang Chen, Lin Ma, Qi Wang, Heng Wang, Arnaldo Leal-Junior, Xiaoli Li, Carlos Marques, Rui Min

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Abstract

With the advantages of high flexibility, strong real-time monitoring capabilities, and convenience, wearable devices have shown increasingly powerful application potential in medical rehabilitation, health monitoring, the Internet of Things, and human-computer interaction. In this paper, we propose a novel and wearable optical microfiber intelligent sensor based on a wavy-shaped polymer optical microfiber (WPOMF) for cardiorespiratory and behavioral monitoring of humans. The optical fibers based on polymer materials are prepared into optical microfibers, fully using the advantages of the polymer material and optical microfibers. The prepared polymer optical microfiber is designed into a flexible wave-shaped structure, which enables the WPOMF sensor to have higher tensile properties and detection sensitivity. Cardiorespiratory and behavioral detection experiments based on the WPOMF sensor are successfully performed, which demonstrates the high sensitivity and stability potential of the WPOMF sensor when performing wearable tasks. Further, the success of the AI-assisted medical keyword pronunciation recognition experiment fully demonstrates the feasibility of integrating AI technology with the WPOMF sensor, which can effectively improve the intelligence of the sensor as a wearable device. As an optical microfiber intelligent sensor, the WPOMF sensor offers broad application prospects in disease monitoring, rehabilitation medicine, the Internet of Things, and other fields.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Fiber Optic Sensors · Non-Invasive Vital Sign Monitoring

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University, Zhuhai 519087, China

College of Science, Shenyang Aerospace University, Shenyang 110136, China

Graduate Program in Electrical Engineering, Federal University of Espírito Santo (UFES), Fernando Ferrari Avenue, Vitória 29075-910, Brazil

CICECO - Aveiro Institute of Materials and I3N, Physics Department, University of Aveiro, Aveiro 3810-193, Portugal

Funding

Centro de Investigação em Materiais Cerâmicos e Compósitos · National Key Research and Development Program of China · Basic and Applied Basic Research Foundation of Guangdong Province · Department of Education of Guangdong Province · Ministério da Ciência, Tecnologia e Ensino Superior · National Natural Science Foundation of China · Fundação para a Ciência e a Tecnologia

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