Theory, technology and applications of piezoresistive sensors: A review

Fiorillo, Antonino S.; Critello, Costantino Davide; Pullano, Salvatore A.

doi:10.1016/j.sna.2018.07.006

Cited by 408 publications

(258 citation statements)

References 163 publications

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“…Usually, the gauge factor is measured at low strain and in that limit it can be shown that 8  is small, leading to gauge factors in the range 2-4. 8 However, for many semiconducting materials, applying strain leads to changes in band structure that can modify either carrier density or mobility such that d / d  can be large, resulting in relatively high values of G. 9 For example, p-type silicon displays a gauge factor of up to 175. 8 In addition, composite strain sensors based on polymers filled with conductive nano-materials, such as nanotubes or graphene, can display high gauge factors.…”

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confidence: 99%

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS₂ Nanosheets

et al. 2019

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Nanocomposite strain sensors, particularly those consisting of polymer–graphene composites, are increasingly common and are of great interest in the area of wearable sensors. In such sensors, application of strain yields an increase in resistance due to the effect of deformation on interparticle junctions. Typically, widening of interparticle separation is thought to increase the junction resistance by reducing the probability of tunnelling between conducting particles. However, an alternative approach would be to use piezoresistive fillers, where an applied strain modifies the intrinsic filler resistance and so the overall composite resistance. Such an approach would broaden sensing capabilities, as using negative piezoresistive fillers could yield strain-induced resistance reductions rather than the usual resistance increases. Here, we introduce nanocomposites based on polyethylene oxide (PEO) filled with MoS2 nanosheets. Doping of the MoS2 by the PEO yields nanocomposites which are conductive enough to act as sensors, while efficient stress transfer leads to nanosheet deformation in response to an external strain. The intrinsic negative piezoresistance of the MoS2 leads to a reduction of the composite resistance on the application of small tensile strains. However, at higher strain the resistance grows due to increases in junction resistance. MoS2–PEO composite gauge factors are approximately −25 but fall to −12 for WS2–PEO composites and roughly −2 for PEO filled with MoSe2 or WSe2. We develop a simple model, which describes all these observations. Finally, we show that these composites can be used as dynamic strain sensors.

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confidence: 99%

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS₂ Nanosheets

et al. 2019

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“…This change in shape results into a change in their resistance values which are measured using an electronic circuit ( Figure 5a). The strain-sensing elements in piezo-resistive sensors is often referred to as "strain gauge" [61]. The strain gauge can be of textile with a coated or embedded conductive element [62,63].…”

Section: Chest-wall Displacement Sensingmentioning

confidence: 99%

Human Vital Signs Detection Methods and Potential Using Radars: A Review

Kebe

Gadhafi

Mohammad

et al. 2020

Sensors

135

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Continuous monitoring of vital signs, such as respiration and heartbeat, plays a crucial role in early detection and even prediction of conditions that may affect the wellbeing of the patient. Sensing vital signs can be categorized into: contact-based techniques and contactless based techniques. Conventional clinical methods of detecting these vital signs require the use of contact sensors, which may not be practical for long duration monitoring and less convenient for repeatable measurements. On the other hand, wireless vital signs detection using radars has the distinct advantage of not requiring the attachment of electrodes to the subject’s body and hence not constraining the movement of the person and eliminating the possibility of skin irritation. In addition, it removes the need for wires and limitation of access to patients, especially for children and the elderly. This paper presents a thorough review on the traditional methods of monitoring cardio-pulmonary rates as well as the potential of replacing these systems with radar-based techniques. The paper also highlights the challenges that radar-based vital signs monitoring methods need to overcome to gain acceptance in the healthcare field. A proof-of-concept of a radar-based vital sign detection system is presented together with promising measurement results.

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“…Monitoring systems for water and flood levels, gas, environmental, structural health, remote and equipment fault diagnostic systems, as well as advanced medical applications employ smart sensors [162,164,165]. In industry 4.0 era, these smart sensors will be integrated with the IoT system and the advancement of smart sensors will continue to grow tremendously [166]. Smart home, smart cities and smart grids are now available because of various installed temperature, proximity, optical, pressure and ultrasonic smart sensors [167,168].…”

Section: Smart Sensorsmentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

Bongomin¹,

Ocen²,

Nganyi³

et al. 2019

Preprint

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The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 was explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done from multidisciplinary databases: Google scholar, ScienceDirect, Scopus, Sage, Taylor & Francis and Emerald insight. Results of the electronic survey showed that 35 disruptive technologies were quantified and 13 key technologies: Internet of things, Big data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The study identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. The study proposes the need to address integration of industry 4.0 concepts into the current education system.

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Theory, technology and applications of piezoresistive sensors: A review

Cited by 408 publications

References 163 publications

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS₂ Nanosheets

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS₂ Nanosheets

Human Vital Signs Detection Methods and Potential Using Radars: A Review

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

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Theory, technology and applications of piezoresistive sensors: A review

Cited by 408 publications

References 163 publications

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS2 Nanosheets

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS2 Nanosheets

Human Vital Signs Detection Methods and Potential Using Radars: A Review

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

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Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS₂ Nanosheets

Negative Gauge Factor Piezoresistive Composites Based on Polymers Filled with MoS₂ Nanosheets