Highly sensitive and flexible pressure sensor based on two-dimensional MoSe2 nanosheets for online wrist pulse monitoring

Pataniya, Pratik M.; Bhakhar, Sanjay A.; Tannarana, Mohit; Zankat, Chetan K.; Patel, Vikas; Solanki, G. K.; Patel, K.D.; Jha, Prafulla K.; Late, Dattatray J.; Sumesh, C.K.

doi:10.1016/j.jcis.2020.10.006

Cited by 57 publications

(47 citation statements)

References 66 publications

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“…Under ≈6.5 kPa pressure, there is no obvious degradation is observed on the current curve after ≈5000 times of repeated cycles of loading and unloading (Figure 2e), which proves that the performance of the multiscale structured E‐skin is stable enough for long‐term service. [ 27 ] These investigations would be promising for artificial limbs and humanoid robot applications. To demonstrate the application in pulse detecting, the sensor was attached closely on the wrist of an adult human.…”

Section: Resultsmentioning

confidence: 99%

A Multifunctional Biomimetic Flexible Sensor Based Novel Artificial Tactile Neuron with Perceptual Memory

Xia

Qin

Zheng

et al. 2021

Adv Materials Inter

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to provide us with awareness and guidance. [1] Biological systems inherently run on a distributed computing paradigm with superior fault tolerance and power efficiency inherent to adaptive, plastic and event-driven sensory neuron networks. [2,3] Thus, emulating biological behavior from sensory neurons is a fundamental implementation of bio-sensory capabilities. [4] There are three key components in the biologic sensory system containing receptor cells, nerve channels and sensory-related parts of the brain, as shown in Figure 1. The biologic tactile nervous system is one of the ways in which external information is acquired. Skin (sensory receptor) perceive external stimuli and presynaptic neurons generate action potentials to release neurotransmitters that trigger postsynaptic neurons, and the electrical signal then propagates along the afferent neurons to the somatosensory cortex. [5] Accordingly, the artificial sensory memory (ASM) device also should contain three core components (see Figure 1b): the E-skin (artificial receptor) to convert external physical stimuli into electrical signal pulses, the artificial synapse to integrate the signals and convert signals into excitatory postsynaptic current (EPSC), and the artificial axon to connect them.Recently, there appears some significant breakthroughs in combining advanced bio-inspired sensing and neuromorphic engineering technologies. [6][7][8][9][10] In particular, different neuromorphic systems based on field-effect transistor (FET)based synaptic devices have been developed for tactile simulation. [3,11,12] For example, Zhu et al. used piezoresistive sensors to convert pressure stimuli into electrical signals, which were transmitted to indium-tungsten-oxide synaptic transistors through soft ion conductors; the system can integrate and extract tactile pattern features for pattern recognition. [13] Wan et al. proposed a bio-inspired energy-saving tactile sensor by combining the triboelectric nanogenerator and IZGO-based synaptic transistor compatible. [11] Triboelectric nanogenerator converts dynamic pressure pulse into gate voltage pulse to adjust the channel conduction of synaptic transistor. However, with the development of integrated circuit miniaturization technology, transistor cannot effectively retain electrons and store information. Recently, the emerging nanoelectronics synaptic devices are drawing more attention due to their superior properties.The bio-inspired sensory memory device functions as a multifunctional artificial perceptual learning system that can effectively analyze and retain multiple sensory signals. In this work, the multiscale hierarchical surface of reed leaves is templated to prepare CNTs/PDMS films, and a new type of electronic skin (E-skin) is constructed. Due to its unique multi-scale sensing layer surface, E-skin exhibits a wide pressure detection range and ultrahigh sensitivity (235.95 kPa −1 ) and linearity (0.99 under 1.95-12.4 kPa). The memristor serving as artificial synapse is formed with HfO 2 film as resistive switch lay...

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Section: Resultsmentioning

confidence: 99%

A Multifunctional Biomimetic Flexible Sensor Based Novel Artificial Tactile Neuron with Perceptual Memory

Xia

Qin

Zheng

et al. 2021

Adv Materials Inter

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“…Recently, several studies have reported the great inuence of thickness on the sensitivity and conductivity of the piezoresistive sensor. 14,15,20,46 The fabricated M-SPF composite material was cut into different thicknesses of 2.0 mm, 3.0 mm, 4.0 mm and 5.0 mm for assembling pressure sensors. As shown in Fig.…”

Section: Pressure Sensing Properties Of M-spfmentioning

confidence: 99%

“…Advanced conductive materials and robust constructions are two effective means of improving exible pressure sensor sensitivity and working pressure range. Hence, nanomaterials, such as metal nanoparticles, 11 metal nanowires, 12 metal frameworks, 13 two-dimensional transition metal materials 14,15 carbon nanotubes (CNTs), 16 graphene, [17][18][19] and conductive polymers, [20][21][22] have been used as conductors in exible piezoresistive pressure sensor fabrication. Additionally, easily deformable structures, such as 3D porous structures and microsized arrays, also improve conductive material and/or exible substrate performance by increasing the variation in their electrical contacts under pressure loadings.…”

Section: Introductionmentioning

confidence: 99%

Ultrahigh compressibility and superior elasticity carbon framework derived from shaddock peel for high-performance pressure sensing

et al. 2021

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“…The actual working conditions adjust the structure and installation method, which can be suitable for more complex and unique working conditions 21,22 . Compared with resistive flexible sensors, flexible capacitance sensors have higher sensitivity and repeatability to small changes in some fields 23–29 . However, the current flexible capacitance sensors are mainly used in some status of small deformation such as pulse detection, heart rate detection etc.…”

Section: Introductionmentioning

confidence: 99%

“…21,22 Compared with resistive flexible sensors, flexible capacitance sensors have higher sensitivity and repeatability to small changes in some fields. [23][24][25][26][27][28][29] However, the current flexible capacitance sensors are mainly used in some status of small deformation such as pulse detection, heart rate detection etc. In contrast, flexible capacitance sensors are less used in large equipment and fault diagnosis fields.…”

Section: Introductionmentioning

confidence: 99%

A facile approach to fabricate flexible capacitance sensor based onSpatial Confining Forced Network Assemblymethod for detecting and analyzing large deformation of damping rubber

Bai

Liu

et al. 2022

J of Applied Polymer Sci

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Efficiently estimating the aging status of rubber damping is indispensable in the transport system. Herein, we developed a facile approach to fabricate flexible capacitance sensors that can bear high loads, large deformations, and long cycle life. The sensor has a sandwich structure, including electrode layer, the dielectric layer, and encapsulation layer. In this approach, the spatial confining forced network assembly method was used to fabricate the electrode layer of the sensor and a novel injection mold process was used to form the encapsulation layer of the sensor. This flexible capacitive sensor can detect the cyclic loading of damping rubber springs as high as 0-60 kN under load frequency of 3 Hz with a sensitivity of 30 PF/KN, bear up to maximum 58% deformation and cycling stability over 50,000 cycle. Furthermore, a modified aging status prediction model for damping rubber springs based on the signal of sensor is proposed. The real-time working state and aging state of the rubber spring can be monitored through the measurement signal of the sensor.

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Highly sensitive and flexible pressure sensor based on two-dimensional MoSe2 nanosheets for online wrist pulse monitoring

Cited by 57 publications

References 66 publications

A Multifunctional Biomimetic Flexible Sensor Based Novel Artificial Tactile Neuron with Perceptual Memory

A Multifunctional Biomimetic Flexible Sensor Based Novel Artificial Tactile Neuron with Perceptual Memory

Ultrahigh compressibility and superior elasticity carbon framework derived from shaddock peel for high-performance pressure sensing

A facile approach to fabricate flexible capacitance sensor based onSpatial Confining Forced Network Assemblymethod for detecting and analyzing large deformation of damping rubber

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