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Development and evaluation of a sensor glove for hand function assessment and preliminary attempts at assessing hand coordination
Affiliation:1. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, Shaanxi, PR China;2. Department of Rehabilitation Medicine, First Affiliated Hospital, Xi’an Jiaotong University, No. 76, Yanta West Road, Xi’an, Shaanxi, PR China;1. Instituto “Eduardo Torroja” de Ciencias de la Construcción (IETCC – CSIC), C/Serrano Galvache 4, 28033 Madrid, Spain;2. Universidad Autónoma de Nuevo León, Facultad de Ingeniería Civil, Pedro de Alba s/n, San Nicolás de los Garza, Nuevo León, Mexico;1. Center for Space Human Robotics, Istituto Italiano di Tecnologia, Corso Trento 21, 10129 Turin, Italy;2. Department of Mechanics, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;3. Department of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;4. Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;1. Wroclaw University of Science and Technology, Department of Electrical Engineering Fundamentals, Wybrzeze Wyspianskiego 27, 58-370 Wroclaw, Poland;2. Wroclaw University of Science and Technology, Faculty of Technology and Natural Sciences, Wybrzeze Wyspianskiego 27, 58-370 Wroclaw, Poland;1. BioRobotics Lab, Mechanical/Biomedical Engineering, University of Wisconsin Milwaukee (UWM), WI, USA;2. Physical Medicine and Rehabilitation, Medical College of Wisconsin, WI, USA;3. Occupational Science and Technology, College of Health Science, UWM, WI, USA
Abstract:Quantitative measurement of hand kinematics can help us to better understand pathophysiological aspects of finger neural control and quantify hand impairments. A sensor glove was developed based on resistive bend sensors and resistive force sensors to monitor finger joint angles and forces exerted to objects by fingers. The validity and reliability of the glove were evaluated. A novel method was proposed to visualize and quantify the abnormality of the inter-joint coordination. The validity test indicated that the accuracy error of measuring joint angles was approximately ±6° and that of measuring forces was approximately ±8 g. The reliability test yielded an intraclass correlation coefficient of 0.9876 ± 0.0058 for the force sensors and 0.9561 ± 0.0431 for the bend sensors. The stability, accuracy and reliability of measuring joint angles were comparable with previous studies. The involvement of force sensors and the capacity of reflecting inter-joint coordination make the glove more comprehensive for hand function assessment.
Keywords:Sensor glove  Function assessment  Hand kinematics  Hand coordination  Finger strength
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