Development of an optical fiber-based sensor for grasping and axial force sensing

Zarrin, Pouya Soltani; Escoto, Abelardo; Xu, Ruidong; Patel, Rajni V.; Naish, Michael D.; Trejos, Ana Luisa

doi:10.1109/icra.2017.7989114

Cited by 23 publications

(11 citation statements)

References 18 publications

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“…The FBG sensor used for measuring grasping force was mounted on the jaw proximally after the flexure segment. This device is an updated version of a previous prototype proposed to overcome some issues related to grasping repeatability and axial sensor hysteresis error in [132]. The novelty lies in the use of a T-shaped grasper made of stainless steel instead of an I-shaped one made of plastic.…”

Section: ) Tissue Manipulationmentioning

confidence: 99%

Fiber Bragg Gratings for Medical Applications and Future Challenges: A Review

et al. 2020

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In the last decades, fiber Bragg gratings (FBGs) have become increasingly attractive to medical applications due to their unique properties such as small size, biocompatibility, immunity to electromagnetic interferences, high sensitivity and multiplexing capability. FBGs have been employed in the development of surgical tools, assistive devices, wearables, and biosensors, showing great potentialities for medical uses. This paper reviews the FBG-based measuring systems, their principle of work, and their applications in medicine and healthcare. Particular attention is given to sensing solutions for biomechanics, minimally invasive surgery, physiological monitoring, and medical biosensing. Strengths, weaknesses, open challenges, and future trends are also discussed to highlight how FBGs can meet the demands of nextgeneration medical devices and healthcare system. INDEX TERMS biomechanics, biosensing, fiber Bragg grating sensors, minimally invasive surgery, physiological monitoring.

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Section: ) Tissue Manipulationmentioning

confidence: 99%

Fiber Bragg Gratings for Medical Applications and Future Challenges: A Review

et al. 2020

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“…Also, the sensor was not capable of measuring the accurate force values in different locations on the jaw. Nevertheless, the sterilization and resolution requirements were not addressed [83]. To cope with the limitations, a new prototype was developed to improve the sensing ability.…”

Section: ) Wavelength Modulation Optical Tactile Sensormentioning

confidence: 99%

Tactile Sensors for Minimally Invasive Surgery: A Review of the State-of-the-Art, Applications, and Perspectives

2020

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Minimally invasive surgery has been one of the most significant evolutions in medicine. In this approach, the surgeon inserts specially-designed instruments through a small incision on the patient's skin into the body cavities, abdomen, veins or, arteries and performs the surgery on organs. As a major limitation, surgeons lose their natural tactile perception due to indirect touch on the organs. Since the loss of tactile perception compromises the ability of surgeons in tissue distinction and maneuvers, researchers have proposed different tactile sensors. This review is to provide researchers with a literature map for the state-of-the-art of tactile sensors in minimally invasive surgery, e.g. in robotic, laparoscopic, palpation, biopsy, heart ablation, and valvuloplasty. In this regard, the pertinent literature from the year 2000 on sensing principles, design requirements, and specifications were reviewed in this study. The survey showed that size, range, resolution, variation, electrical passivity, and magnetic-resonance-compatibility were the most critical specification to study for tactile sensors. Based on the results, some of the requirements, e.g., magnetic-resonance-compatibility and electrical passivity are of less generality and more applicationdependent; however, size, resolution, and range specifications differ for various applications and are of utmost importance.

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“…Therefore, without analytical insight, information obtained on one specific parameter has a low clinical value for the disease diagnosis [17]. As a result, implementation of Machine Learning (ML) tools is crucial for the conversion of collected raw data from subjects into meaningful clinical-diagnostic information [18]- [20]. Furthermore, advanced ML analytics could make the management of COPD in PoC applications more efficient.…”

Section: Introductionmentioning

confidence: 99%

In-Vitro Classification of Saliva Samples of COPD Patients and Healthy Controls Using Machine Learning Tools

2020

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Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease and a major cause of morbidity and mortality worldwide. Although a curative therapy has yet to be found, permanent monitoring of biomarkers that reflect the disease progression plays a pivotal role for the effective management of COPD. The accurate examination of respiratory tract fluids like saliva is a promising approach for staging disease and predicting its upcoming exacerbations in a Point-of-Care (PoC) environment. However, the concurrent consideration of patients' demographic and medical parameters is necessary for achieving accurate outcomes. Therefore, Machine Learning (ML) tools can play an important role for analyzing patient data and providing comprehensive results for the recognition of COPD in a PoC setting. As a result, the objective of this research work was to implement ML tools on data acquired from characterizing saliva samples of COPD patients and healthy controls as well as their demographic information for PoC recognition of the disease. For this purpose, a permittivity biosensor was used to characterize dielectric properties of saliva samples and, subsequently, ML tools were applied on the acquired data for classification. The XGBoost gradient boosting algorithm provided a high classification accuracy and sensitivity of 91.25% and 100%, respectively, making it a promising model for COPD evaluation. Integration of this model on a neuromorphic chip, in the future, will enable the real-time assessment of COPD in PoC, with low cost, low energy consumption, and high patient privacy. In addition, constant monitoring of COPD in a near-patient setup will enable the better management of the disease exacerbations.

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Development of an optical fiber-based sensor for grasping and axial force sensing

Cited by 23 publications

References 18 publications

Fiber Bragg Gratings for Medical Applications and Future Challenges: A Review

Fiber Bragg Gratings for Medical Applications and Future Challenges: A Review

Tactile Sensors for Minimally Invasive Surgery: A Review of the State-of-the-Art, Applications, and Perspectives

In-Vitro Classification of Saliva Samples of COPD Patients and Healthy Controls Using Machine Learning Tools

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