Design and Evaluation of an FBG Sensor-Based Glove to Simultaneously Monitor Flexure of Ten Finger Joints

Jha, Chandan Kumar; Gajapure, Kshitij; Chakraborty, Arup Lal

doi:10.1109/jsen.2020.3046521

Cited by 35 publications

(16 citation statements)

References 36 publications

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“…The 60% of the systems provide feedback during the assessment procedures via visual [ 22 , 27 , 28 , 31 , 37 , 38 , 40 ], acoustic [ 27 , 28 , 37 ], or haptic [ 26 ] feedback, or by adopting virtual reality technology to retrieve the online kinematic rendering of hand activity [ 23 , 26 , 36 , 39 , 42 , 44 ]. Systems with TRL ≤ 4 ( n = 7) resulted mainly adopted in laboratory setting, while those with TRL > 5 resulted majorly involved in clinical environments ( n = 12).…”

Section: Resultsmentioning

confidence: 99%

“… Classification of new systems-aided hand functional assessment based on technology and evaluation features. References: [ 22 ] = Schwerz de Lucena et al, 2021; [ 23 ] = Jha et al, 2021; [ 24 ] = Schwarz et al, 2020; [ 25 ] = Visee et al, 2020; [ 26 ] = Kanzler et al, 2020; [ 27 ] = Barlow et al, 2020; [ 28 ] = Bobin et al, 2018; [ 29 ] = Liu et al, 2019; [ 30 ] = Sadarangani et al, 2017; [ 31 ] = Schreck et al, 2017; [ 32 ] = Spasojević et al, 2017; [ 33 ] = Romeo et al, 2015; [ 34 ] = Rammer et al, 2014; [ 35 ] = Schuster-Amft et al, 2014; [ 36 ] = Taheri et al, 2014; [ 37 ] = Bonzano et al, 2013; [ 38 ] = Kurillo et al, 2013; [ 39 ] = Nica et al, 2013; [ 40 ] = Lee et al, 2013; [ 41 ] = Oess et al, 2012; [ 42 ] = Zariffa et al, 2012; [ 43 ] = Sgandurra et al, 2012; [ 44 ] = Golomb et al, 2010. …”

Section: Figurementioning

confidence: 99%

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Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review

Mennella

Alloisio

Novellino

et al. 2021

Sensors

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Technology-aided hand functional assessment has received considerable attention in recent years. Its applications are required to obtain objective, reliable, and sensitive methods for clinical decision making. This systematic review aims to investigate and discuss characteristics of technology-aided hand functional assessment and their applications, in terms of the adopted sensing technology, evaluation methods and purposes. Based on the shortcomings of current applications, and opportunities offered by emerging systems, this review aims to support the design and the translation to clinical practice of technology-aided hand functional assessment. To this end, a systematic literature search was led, according to recommended PRISMA guidelines, in PubMed and IEEE Xplore databases. The search yielded 208 records, resulting into 23 articles included in the study. Glove-based systems, instrumented objects and body-networked sensor systems appeared from the search, together with vision-based motion capture systems, end-effector, and exoskeleton systems. Inertial measurement unit (IMU) and force sensing resistor (FSR) resulted the sensing technologies most used for kinematic and kinetic analysis. A lack of standardization in system metrics and assessment methods emerged. Future studies that pertinently discuss the pathophysiological content and clinimetrics properties of new systems are required for leading technologies to clinical acceptance.

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Section: Resultsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review

Mennella

Alloisio

Novellino

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Also sensitive to deformation, different from the strain sensor based on electricity, the principle of FBG is that when the fiber is deformed, the wavelength of the outgoing light is different from the incident light, and the rate of the change is closely related to the degree of deformation. Due to its small size, light weight, multiplexing capability, biocompatibility, and immunity to electromagnetic interference, FBG has been applied in stroke rehabilitation in recent years, such as hand function assessment [ 150 ] and trunk compensation detection (Figure 7c). [ 116 ]…”

Section: Single Mode Sensing Methodsmentioning

confidence: 99%

Multimodal Sensing in Stroke Motor Rehabilitation

Zhao

Wang

et al. 2023

Advanced Sensor Research

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Applying sensors in biomedical institutions and home‐based stroke rehabilitation is now a global research focus. In this review paper, the relationship between stroke diseases’ physiology mechanism and diverse sensors’ functionalities is detailed explained. The review starts by interpreting how stroke influences motion abilities and then introduces broadly adopted physical training methods. After, the working principles of sensors and their use to objectively provide patients’ body information for stroke rehabilitation status are discussed. The content of the paper aims to not only review the state‐of‐the‐art works of developing sensors for assisting in evaluating stroke patients’ status but also bridging the gap between medical staff and engineers.

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“…The FBG-based glove has been designed and tested with an FBG interrogator. Stroke patients were benefitted from the device developed ( 108 ). Similarly, in another work carried by Alwin T and co-authors, FBG sensor was used as a multi ocular sensor.…”

Section: Type Of Optical Mems Sensors With Applicationmentioning

confidence: 99%

A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application

Upadhyaya

Hasan

Abdel‐Khalek

et al. 2021

Front. Public Health

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This study presented an overview of current developments in optical micro-electromechanical systems in biomedical applications. Optical micro-electromechanical system (MEMS) is a particular class of MEMS technology. It combines micro-optics, mechanical elements, and electronics, called the micro-opto electromechanical system (MOEMS). Optical MEMS comprises sensing and influencing optical signals on micron-level by incorporating mechanical, electrical, and optical systems. Optical MEMS devices are widely used in inertial navigation, accelerometers, gyroscope application, and many industrial and biomedical applications. Due to its miniaturised size, insensitivity to electromagnetic interference, affordability, and lightweight characteristic, it can be easily integrated into the human body with a suitable design. This study presented a comprehensive review of 140 research articles published on photonic MEMS in biomedical applications that used the qualitative method to find the recent advancement, challenges, and issues. The paper also identified the critical success factors applied to design the optimum photonic MEMS devices in biomedical applications. With the systematic literature review approach, the results showed that the key design factors could significantly impact design, application, and future scope of work. The literature of this paper suggested that due to the flexibility, accuracy, design factors efficiency of the Fibre Bragg Grating (FBG) sensors, the demand has been increasing for various photonic devices. Except for FBG sensing devices, other sensing systems such as optical ring resonator, Mach-Zehnder interferometer (MZI), and photonic crystals are used, which still show experimental stages in the application of biosensing. Due to the requirement of sophisticated fabrication facilities and integrated systems, it is a tough choice to consider the other photonic system. Miniaturisation of complete FBG device for biomedical applications is the future scope of work. Even though there is a lot of experimental work considered with an FBG sensing system, commercialisation of the final FBG device for a specific application has not been seen noticeable progress in the past.

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Design and Evaluation of an FBG Sensor-Based Glove to Simultaneously Monitor Flexure of Ten Finger Joints

Cited by 35 publications

References 36 publications

Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review

Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review

Multimodal Sensing in Stroke Motor Rehabilitation

A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application

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