Wearable Optical Fiber Sensors for Biomechanical Measurement in Medical Rehabilitation: A Review

被引:6
作者
Peng, Nian [1 ]
Meng, Wei [1 ]
Wei, Qin [1 ]
Ai, Qingsong [1 ]
Liu, Quan [1 ]
Xie, Shengquan [2 ]
机构
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China
[2] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, W Yorkshire, England
基金
中国国家自然科学基金;
关键词
Health monitoring; medical rehabilitation; optical fiber sensing technology; physical parameters; FABRY-PEROT-INTERFEROMETER; STRAIN SENSOR; PRESSURE; CAVITY; SOFT; SENSITIVITY; DEVICES; FORCES; FILM; FBG;
D O I
10.1109/JSEN.2023.3273536
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the increasing demand for rehabilitation of the elderly population and patients with limb injuries, it is imperative to develop new wearable health monitoring system and assistive rehabilitation equipment. Optical fiber sensing has the advantages of lightweight, anti-electromagnetic interference, higher strain and elastic limit, safety, and dependableness. It has been significantly used in engineering prospecting, building structure monitoring, and medical and health fields. At present, the application of optical fiber sensing in medical rehabilitation has been developed rapidly; however, the discussion and summary of its key theories and technologies are insufficient. This review details different types of optical fiber sensing mechanisms and devices, as well as the measurement of physical parameters using optical fiber sensors and application examples in the field of medical rehabilitation. This review systematically analyzes the advance of the sensitivity, flexibility, accuracy, and wearability of the optical fiber sensing in the monitoring of human body sign information. This review also discusses the challenges of making a new generation of optical fiber sensors that fit human joints, muscles, and rehabilitation equipment. Finally, this review provides a research direction for the realization of flexible, comfortable, safe, stable monitoring of human biomechanical parameters, and real-time precise control of rehabilitation equipment in the future.
引用
收藏
页码:12455 / 12469
页数:15
相关论文
共 118 条
[31]   Chronology of Fabry-Perot Interferometer Fiber-Optic Sensors and Their Applications: A Review [J].
Islam, Md Rajibul ;
Ali, Muhammad Mahmood ;
Lai, Man-Hong ;
Lim, Kok-Sing ;
Ahmad, Harith .
SENSORS, 2014, 14 (04) :7451-7488
[32]  
Jang M, 2018, IEEE ENG MED BIO, P3734, DOI 10.1109/EMBC.2018.8513338
[33]   Temperature-compensated fiber-optic Fabry-Perot interferometric gas refractive-index sensor based on hollow silica tube for high-temperature application [J].
Jia, Pinggang ;
Fang, Guocheng ;
Liang, Ting ;
Hong, Yingping ;
Tan, Qiulin ;
Chen, Xiaoyong ;
Liu, Wenyi ;
Xue, Chenyang ;
Liu, Jun ;
Zhang, Wendong ;
Xiong, Jijun .
SENSORS AND ACTUATORS B-CHEMICAL, 2017, 244 :226-232
[34]   A simple strain sensor using a thin film as a low-finesse fiber-optic Fabry-Perot interferometer [J].
Jiang, MZ ;
Gerhard, E .
SENSORS AND ACTUATORS A-PHYSICAL, 2001, 88 (01) :41-46
[35]   Plastic Optical Fiber Sensor for Noninvasive Arterial Pulse Waveform Monitoring [J].
Jorge Leitao, Catia Sofia ;
da Costa Antunes, Paulo Fernando ;
Mesquita Bastos, Jose Adelino ;
Pinto, Joao de Lemos ;
de Brito Andre, Paulo Sergio .
IEEE SENSORS JOURNAL, 2015, 15 (01) :14-18
[36]   Investigation of High-Resolution Distributed Fiber Sensing System Embedded in Flexible Silicone Carpet for 2D Pressure Mapping [J].
Katrenova, Zhanerke ;
Alisherov, Shakhrizat ;
Abdol, Turar ;
Yergibay, Madina ;
Kappassov, Zhanat ;
Tosi, Daniele ;
Molardi, Carlo .
SENSORS, 2022, 22 (22)
[37]   Fiber grating sensors [J].
Kersey, AD ;
Davis, MA ;
Patrick, HJ ;
LeBlanc, M ;
Koo, KP ;
Askins, CG ;
Putnam, MA ;
Friebele, EJ .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 1997, 15 (08) :1442-1463
[38]   Analytical model for a polymer optical fiber under dynamic bending [J].
Leal Junior, Arnaldo G. ;
Frizera, Anselmo ;
Pontes, Maria Jose .
OPTICS AND LASER TECHNOLOGY, 2017, 93 :92-98
[39]  
Leal-Junior A. G., 2018, PROC INT JOINT C BIO, P3
[40]   Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept [J].
Leal-Junior, Arnaldo ;
Avellar, Leticia ;
Jaimes, Jonathan ;
Diaz, Camilo ;
dos Santos, Wilian ;
Siqueira, Adriano A. G. ;
Pontes, Maria Jose ;
Marques, Carlos ;
Frizera, Anselmo .
SENSORS, 2020, 20 (11)