Micromachined Tactile Sensor for Soft-Tissue Compliance Detection

El-Bab, Ahmed M. R. Fath; Sugano, Koji; Tsuchiya, Toshiyuki; Tabata, Osamu; Eltaib, M. E. H.; Sallam, Mohamed

doi:10.1109/jmems.2012.2184080

Cited by 27 publications

(13 citation statements)

References 18 publications

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“…By measuring F H and F L , the tissue stiffness can be estimated. Following the same concept of Fath El Bab , the current sensor output ( Q ) was selected as shown by :

Q = \frac{2 F_{normalH}}{F_{normalL}} = \frac{2 K_{normalh} (K_{normalL} + K_{normalo})}{K_{normalL} (K_{normalh} + K_{normalo})}

…”

Section: Sensor Designmentioning

confidence: 99%

“…In order to detect soft tissue stiffness, many research studies have been conducted. Based on the concept of applying force and measuring the corresponding deflection, stiffness of an object can be calculated . Muhammad et al .…”

Section: Introductionmentioning

confidence: 99%

“…Fath El Bab et al . fabricated a micromachined piezoresistive tactile sensor with two zigzag springs, based on the concept of applying two springs with different stiffness, for compliance detection. The results proved that the sensor could detect tissue stiffness with stable readings.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design and modeling of micro tactile sensor with three contact tips for self‐compensation of contact error in soft tissue elasticity measurement

Nasr

El-Bab

Abouelsoud

2015

IEEJ Transactions Elec Engng

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The capability to localize diseased regions in soft tissues is essential in laparoscopic surgeries. Accordingly, surgeons need to use tactile feedback systems in order to evaluate tissue health. The purpose of this paper is to identify tissue stiffness using a new tactile sensor, whose output does not depend on the applied pushing distance or the contact angle between the sensor and the target tissue. A modification on the concept of using two linear springs with different stiffness is executed, where the current sensor design is based on using three linear springs. A detailed design procedure is carried out in order to achieve high linearity and sensitivity. The sensor measuring range is selected according to different soft-tissue properties. In order to verify the performance of the new design, a finite element model is constructed using the ANSYS software. The results illustrate that the presented sensor can distinguish between different tissues based on their modulus of elasticity, within the specified design range. Moreover, the sensor output is independent of the applied pushing distance and the contact angle, in the range of ±8 • , with a maximum error of ±4%. Furthermore, a linear I/O relationship was successfully achieved, which was the aim when considering nonlinearity analysis.

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“…By measuring F H and F L , the tissue stiffness can be estimated. Following the same concept of Fath El Bab , the current sensor output ( Q ) was selected as shown by :

Q = \frac{2 F_{normalH}}{F_{normalL}} = \frac{2 K_{normalh} (K_{normalL} + K_{normalo})}{K_{normalL} (K_{normalh} + K_{normalo})}

…”

Section: Sensor Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and modeling of micro tactile sensor with three contact tips for self‐compensation of contact error in soft tissue elasticity measurement

Nasr

El-Bab

Abouelsoud

2015

IEEJ Transactions Elec Engng

Self Cite

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“…Although highly sensitive, the cantilever structure would not be mechanically stable limiting the sensor application to relatively soft objects only. There are additional stiffness measurement methods that do not require measurement of the deformation depth, such as methods that use two springs having differing spring constants, and another that use resonant vibrational frequencies [3,4,5,6,7,8,9,10,11,12]. When two springs are supported by a common frame and they are pressed against an object, the compression of each spring will be different, if the spring constants are different.…”

Section: Introductionmentioning

confidence: 99%

“…Then the elastic modulus of the contacting object will be related to the relative compression of the springs. There have been many reports of stiffness measurements using this principle [3,4,5,6] with all of the systems requiring simultaneous measurements of two or more pressure sensors, or piezoelectric films [7] in parallel which, for soft objects, may lead to fluctuation and noise in the measured stiffness, reducing accuracy. When a pressurized mechanical vibration is applied to a contact surface, there will be a resonant vibrational frequency that depends of the acoustic impedance of the contacting surface.…”

Section: Introductionmentioning

confidence: 99%

A Portable Stiffness Measurement System

Sul

Choi

Lee

2017

Sensors

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A new stiffness measurement method is proposed that utilizes the lateral deformation profile of an object under indentation. The system consists of a force measurement module between a pair of equidistant touch sensing modules. Unique feature of the method is that by adjusting the touch module separation, indenter protrusion, and spring constant of the force sensing module, one can choose a desired sensing range for the force module. This feature helps to enhance the stiffness differentiation between objects of similar hardness and avoids measurement saturation. We devised a portable measurement system based on the method, and tested its performance with several materials including polymer foams and human skin.

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Highly Sensitive and Linear Vibration‐Based Flexible Modulus Sensing System for Human Modulus Monitoring and Disease Prevention

Luo,

Shen,

Ran

et al. 2023

Advanced Sensor Research

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It is important to directly characterize the modulus of objects through wearable systems, which can further develop electronic skin and human‐computer interaction. In this work, a modulus sensing system based on a pressure sensor and vibration module is developed. This resistive pressure sensor exhibits good linearity and sensitivity. Combined with the vibration module to adjust the applied stress and strain, the modulus value of the objects can be directly calculated. The modulus sensing system demonstrates excellent modulus monitoring capabilities in the range of 60‒3000 kPa modulus and high linearity. In addition, it is used to detect modulus values for different parts of the human body and integrate a concept eye mask to prevent and monitor migraine. The system shows the potential to be further applied to wearable devices for human health monitoring and disease prevention.

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Micromachined Tactile Sensor for Soft-Tissue Compliance Detection

Cited by 27 publications

References 18 publications

Design and modeling of micro tactile sensor with three contact tips for self‐compensation of contact error in soft tissue elasticity measurement

Design and modeling of micro tactile sensor with three contact tips for self‐compensation of contact error in soft tissue elasticity measurement

A Portable Stiffness Measurement System

Highly Sensitive and Linear Vibration‐Based Flexible Modulus Sensing System for Human Modulus Monitoring and Disease Prevention

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