Bioinspired tactile sensor for surface roughness discrimination

Yi, Zhengkun; Zhang, Yilei; Peters, Jan

doi:10.1016/j.sna.2016.12.021

Cited by 78 publications

(39 citation statements)

References 29 publications

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“…Piezoresistive and capacitive materials demonstrated to be good candidates for the emulation of SA1 fibers behavior; differently piezoelectric materials can mimic RA fibers …”

Section: Sensorsmentioning

confidence: 99%

“…In particular, the use of an encoding that can mimic sensory afferent fibers (i.e., neuromorphic system) has gained popularity during last years; this approach exploits the conversion of the output of tactile sensors into a pattern of spikes, taking inspiration from biological neurons. Different models in the form of ordinary differential equations have been used to achieve this task; the most popular are: i) leaky integrate‐and‐fire model, ii) quadratic integrate‐and‐fire model, iii) the Izhikevich model and iv) the Hodgkin–Huxley model …”

Section: Sensorsmentioning

confidence: 99%

“…Comparison among different strategies of stimulation of PNS to evoke tactile percepts. Parameters that have been considered are: i) number of subjects (S) and implant duration; ii) type of implanted electrode, number of channels, nerve target; iii) impedance measurement; iv) type of stimulation pattern; v) threshold charge/current over time; vi) …”

Section: Implantable Neuroprostheses In Clinical Applicationsmentioning

confidence: 99%

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Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Cutrone

Micera

2019

Adv Healthcare Materials

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functions of nervous system when damages occur. Moreover, in case of physical impairments, the use of artificial tactile sensors is also paramount to ensure the possibility to restore the sense of touch to the patient. Bioinspiration from human natural touch could help in the release of enhanced tactile sensors to be used in neuroprosthetics. Technological and biological advancements brought serious improvements in the quality of these devices, such as miniaturization and increased biocompatibility. This article reviews the essential design criteria, working principles, materials, and technical considerations on neural interfaces and tactile sensors; their clinical application in neuroprosthetics and their future progress toward optimized solutions. Neural InterfacesA neural interface device (NID) is an implantable tool that aims at restoring nervous system functions in case of impairments or communicates with external components (e.g., limb prostheses); its main objective is to record neural signal from a small group of axons/cells or to stimulate a selected area of the nervous system. The clinical potentialities of NIDs range from their applications in central nervous system (CNS) for treating epilepsy seizures, mitigating Parkinson's disease; in peripheral nervous system (PNS) for controlling limb prostheses in amputees and restore sensory feedback; in autonomous nervous system such as vagus nerve to treat drug-resistant epilepsy and chronic depression to finally auditory and vision systems to restore the perception of specific sounds and phosphenes. An ideal NID should be biocompatible, highly selective, low invasive and stable over long time. If intended for clinical applications, the functionality of a NID should be reliable and should last decades. Considering the different implantation sites of interest of the device, various solutions have been proposed to optimize the communication between the NID and the surrounding environment. Figure 1 highlights the main applications of most common used NIDs in neuroprosthetics. With a special focus on implantable neuroprostheses and motor system, this paragraph will portray the design criteria, the materials and technical considerations heretofore used for the development of diverse types of NID used in CNS and PNS.Neuroprosthetics and neuromodulation represent a promising field for several related applications in the central and peripheral nervous system, such as the treatment of neurological disorders, the control of external robotic devices, and the restoration of lost tactile functions. These actions are allowed by the neural interface, a miniaturized implantable device that most commonly exploits electrical energy to fulfill these operations. A neural interface must be biocompatible, stable over time, low invasive, and highly selective; the challenge is to develop a safe, compact, and reliable tool for clinical applications. In case of anatomical impairments, neuroprosthetics is bound to the need of exploring the surrounding environment by fast-responsive and ...

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“…Piezoresistive and capacitive materials demonstrated to be good candidates for the emulation of SA1 fibers behavior; differently piezoelectric materials can mimic RA fibers …”

Section: Sensorsmentioning

confidence: 99%

Section: Sensorsmentioning

confidence: 99%

Section: Implantable Neuroprostheses In Clinical Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Cutrone

Micera

2019

Adv Healthcare Materials

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“…Typical catheter-type tactile sensors measure force by the piezoresistance effect [5,7,11], capacitance [7], pressure-sensitive rubber [12] or the optical measurement [6,9,10]. In comparison with other methods, organic ferroelectrics, such as poly(vinylidene fluoride) (PVDF) [8,14,[21][22][23][24][25][26], which is a copolymer with trifluoroethylene [P(VDF/TrFE)] [27,28] and VDF oligomer [29,30], exhibit piezoelectric responses and are useful for tactile sensors. They are promising materials for catheter-type tactile sensors due to the following characteristics:…”

Section: Tactile Sensors Composed Of Organic Ferroelectricsmentioning

confidence: 99%

Development of catheter-type tactile sensor composed of polyvinylidene fluoride (PVDF) film

et al. 2019

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To achieve quantitative palpation in vivo, we developed a catheter-type tactile sensor composed of a polyvinylidene fluoride film for minimally invasive surgery. We evaluated the fundamental performance of the prototype sensor by a weight-drop test. We also measured the output of the prototype sensor as it was inserted into a blood vessel model with shapes mimicking lesions. The ø2-mm sensor passed easily into the blood vessel model with lesion-like shapes. Sensor outputs corresponded to the shape of the inner wall of the blood vessel model, making it possible to determine the position of a protrusion and the convexity interval of a rough surface by filtering and frequency analysis of the output.

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“…There are a number of research studies on the tactile estimation of products with plastic and other materials [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. Kawasegi et al, for example, investigated the relationship between the tactile sensory responses and the physical properties of the surfaces of molded plastic samples with textures at the micrometer scale [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Tactile Estimation of Molded Plastic Plates Based on the Estimated Impulse Responses of Mechanoreceptive Units

Nobuyama

Kurashina

Kawauchi³

et al. 2018

Sensors

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This study proposes a tactile estimation method of molded plastic plates based on human tactile perception characteristics. Plastic plates are often used in consumer products. The tactile evaluation plays an important role in product development. However, physical quantities not taking into account human tactile perception have been employed in previous tactile estimation procedures. Hence, in this study, we adopted the vibrational thresholds of the mechanoreceptive units—FA I, FA II, SA I and SA II—for stimuli detection and developed a tactile estimation method for plastic plates that clarified the mechanoreceptive units related to tactile sensation. The developed tactile sensor consists of a base and a silicone rubber pad that contains strain gauges in it. We detected vibration during touch by the sensor and calculated the estimation of the firing values of the cutaneous mechanoreceptors, which are the essential data obtained by humans during tactile perception, in comparison to the amplitude spectrum of the vibration with the threshold amplitude of each mechanoreceptive unit. Simultaneously, we calculated the relationship between the normal and tangential forces recorded while the sensor ran over the samples. As a result of stepwise linear regression analysis using these values as explanatory variables, the evaluation scores for Soft were successfully estimated using the firing value of FA II and the relationship between normal/tangential forces, and the evaluation scores for Rough were estimated using the SA I firing value.

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Bioinspired tactile sensor for surface roughness discrimination

Cited by 78 publications

References 29 publications

Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Development of catheter-type tactile sensor composed of polyvinylidene fluoride (PVDF) film

Tactile Estimation of Molded Plastic Plates Based on the Estimated Impulse Responses of Mechanoreceptive Units

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