用嵌入式光纤布拉格光栅评估手指敲击测试

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Elena De Vita;Vincenzo Romano Marrazzo;Giovanni Breglio;Agostino Iadicicco;Stefania Campopiano
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引用次数: 0

摘要

手指敲击(FT)测试是一种广泛使用的神经心理学评估,旨在衡量精细运动技能,如手指运动的速度和协调性,特别是用于诊断和跟踪影响运动控制的神经系统疾病。如今,尽管这项测试已经普及,但临床评估FT的方法是观察患者执行几个FT任务(FTTs),并根据待诊断的具体病理,根据评分量表为FT表现打分。因此,需要一种设备,通过提供定量信息来支持临床医生评估特定患者的FTTs执行情况。因此,本工作提出了一种基于光纤布拉格光栅(FBG)及其嵌入柔性可穿戴化合物的新型傅里叶变换传感器。该传感器由光纤布拉格光栅(FBG)嵌入在硅胶顶针中,可以在功能测试(FTs)中轻松佩戴。这种设计灵活、轻便、微创,有效地克服了文献中讨论的其他设备带来的挑战。开发的FBG顶针已经在8名志愿者身上进行了三种不同的FTTs测试,即随机、同步和快速敲击(QT),使用双手记录并比较不同受试者、手和运动类型的FT波形。该传感器已被证明能够实时测量敲击信号,并提供有关临床感兴趣的几个FT参数的信息,如用力触摸、节律性和运动协调性。此外,对记录的信号进行了频谱分析,以比较受试者每次FTT的记录,突出了它们之间在运动周期性和规律性方面的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finger Tapping Test Evaluated by Embedded Fiber Bragg Gratings
The finger tapping (FT) test is a widely used neuropsychological assessment designed to measure fine motor skills, like speed and coordination of finger movements, particularly used in diagnosing and tracking neurological conditions that affect motor control. Nowadays, despite the spread of this test, FT is clinically evaluated by observing the patient executing several FT tasks (FTTs) and assigning a score to the FT performance based on rating scales, depending on the specific pathology to be diagnosed. Hence, there is a need for a device that supports clinicians in evaluating the execution of the FTTs for specific patients by providing quantitative information. Therefore, this work presents a novel FT sensor based on fiber Bragg grating (FBG) and its embedding in flexible and wearable compounds. The proposed sensor consists of a fiber Bragg grating (FBG) embedded in a silicone thimble that can be easily worn during functional tests (FTs). This design is flexible, lightweight, and minimally invasive, effectively overcoming the challenges posed by other devices discussed in the literature. The developed FBG thimble has been tested on eight volunteers during three different FTTs, i.e., random, synchronized, and quick tapping (QT), performed using both hands to record and compare the FT waveforms by varying subject, hand, and kind of movement. The sensor has proved to be able to measure the tapping signals in real time and provide information about several FT parameters of clinical interest, such as force touch, rhythmicity, and motor coordination. Moreover, the spectral analysis of the recorded signals has been carried out to compare the subjects’ recordings for each FTT, highlighting the differences among them in terms of movement periodicity and regularity.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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