A Triboelectric‐Based Artificial Basilar Membrane to Mimic Cochlear Tonotopy

Jang, Jongmoon; Lee, JangWoo; Jang, Jeong Hun; Choi, Hongsoo

doi:10.1002/adhm.201600232

Cited by 75 publications

(88 citation statements)

References 35 publications

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“…The self‐power generating property and the specific frequency responsive behavior intrinsic to piezoelectric material used as the sensor allowed its direct replacement of the malfunctioning basilar membrane. Similarly, triboelectric materials have been utilized as basilar membrane replacements . In other demonstrations, signal processors were added in between the interface for electrical output conversion .…”

Section: Neural Interface For the Artificial Sensory Systemsmentioning

confidence: 99%

“…Similarly, triboelectric materials have been utilized as basilar membrane replacements . In other demonstrations, signal processors were added in between the interface for electrical output conversion . Therefore, direct interfacing schemes are applicable to immediate clinical trials, such as the artificial auditory systems.…”

Section: Neural Interface For the Artificial Sensory Systemsmentioning

confidence: 99%

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Bioinspired Electronics for Artificial Sensory Systems

et al. 2018

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Humans have a myriad of sensory receptors in different sense organs that form the five traditionally recognized senses of sight, hearing, smell, taste, and touch. These receptors detect diverse stimuli originating from the world and turn them into brain‐interpretable electrical impulses for sensory cognitive processing, enabling us to communicate and socialize. Developments in biologically inspired electronics have led to the demonstration of a wide range of electronic sensors in all five traditional categories, with the potential to impact a broad spectrum of applications. Here, recent advances in bioinspired electronics that can function as potential artificial sensory systems, including prosthesis and humanoid robots are reviewed. The mechanisms and demonstrations in mimicking biological sensory systems are individually discussed and the remaining future challenges that must be solved for their versatile use are analyzed. Recent progress in bioinspired electronic sensors shows that the five traditional senses are successfully mimicked using novel electronic components and the performance regarding sensitivity, selectivity, and accuracy have improved to levels that outperform human sensory organs. Finally, neural interfacing techniques for connecting artificial sensors to the brain are discussed.

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Section: Neural Interface For the Artificial Sensory Systemsmentioning

confidence: 99%

Section: Neural Interface For the Artificial Sensory Systemsmentioning

confidence: 99%

Bioinspired Electronics for Artificial Sensory Systems

et al. 2018

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“…Artificial basilar membranes (ABMs) are an attractive option to overcome the limitations of conventional CIs . The ABM is an acoustic transducer that mimics cochlear tonotopy, which is the passive mechanical frequency selectivity of the basilar membrane (BM) and acoustic‐to‐electrical energy conversion of the hair cells.…”

Section: Introductionmentioning

confidence: 99%

“…The movement of the BM deflects the hair cells and an action potential is generated, which enables acoustic‐to‐electrical energy conversion in the cochlea. Reproduced with permission …”

Section: Introductionmentioning

confidence: 99%

Biomimetic Artificial Basilar Membranes for Next‐Generation Cochlear Implants

Jang

Choi

2017

Adv Healthcare Materials

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Patients with sensorineural hearing loss can recover their hearing using a cochlear implant (CI). However, there is a need to develop next-generation CIs to overcome the limitations of conventional CIs caused by extracorporeal devices. Recently, artificial basilar membranes (ABMs) are actively studied for next-generation CIs. The ABM is an acoustic transducer that mimics the mechanical frequency selectivity of the BM and acoustic-to-electrical energy conversion of hair cells. This paper presents recent progress in biomimetic ABMs. First, the characteristics of frequency selectivity of the ABMs by the trapezoidal membrane and beam array are addressed. Second, to reflect the latest research of energy conversion technologies, ABMs using various piezoelectric materials and triboelectric-based ABMs are discussed. Third, in vivo evaluations of the ABMs in animal models are discussed according to the target position for implantation. Finally, future perspectives of ABM studies for the development of practical hearing devices are discussed.

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“…[12][13][14] Some studies have used the TENG sensitivity to frequency for sensor applica tions. [15][16][17] The input frequency also affects the TENG imped ance. [18,19] The optimal load capacitor for TENG energy storage is also frequency dependent.…”

mentioning

confidence: 99%

Design of Mechanical Frequency Regulator for Predictable Uniform Power from Triboelectric Nanogenerators

Bhatia

Lee

Hwang

et al. 2018

Advanced Energy Materials

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unpredictable. Finally, the unpredictability in converted electrical output makes it difficult to design circuits for optimal electrical energy storage and transforma tion. Thus, the entire performance of the energy scavenging power system is com promised if the problem of input mecha nical energy irregularity is not resolved.Triboelectric nanogenerators (TENG) can scavenge ambient mechanical vibra tion and rotation energy. They can be manufactured at low cost without any nanoprocessing, or performance can be enhanced by introducing nanopatterns on the tribosurfaces. [10,11] Typically, the TENG output increases with increase in input force, and it is sensitive to changes in input frequency. [12][13][14] Some studies have used the TENG sensitivity to frequency for sensor applica tions. [15][16][17] The input frequency also affects the TENG imped ance. [18,19] The optimal load capacitor for TENG energy storage is also frequency dependent. [20,21] In order to charge a battery, with low internal impedance, the inherent high impedance of the TENG must be reduced using a transformer. [18] Transformer conversion can lower TENG impedance, stepup the low TENG current, and stepdown the high TENG voltage. Using a trans former with the TENG can also enhance the rate of charging a large capacitor. [22][23][24] Transformers, however, are designed to operate optimally at specific frequencies. For example, iso lation transformers and power conversion transformers are designed to operate at 50/60 Hz to be compatible with the elec tric grid. [25] Thus, in order to use transformer with the TENG it is imperative to reliably regulate the TENG output frequency. Studies that have successfully employed the transformer with the TENG used highfrequency input conditions, which may not be consistently available especially when the mechanical input energy is irregular or low frequency. [18,19,[22][23][24] Therefore, by controlling the input forces and frequency acting on the TENG, first, the TENG internal impedance and output can be made predictable; second, sensible selection of load capacitor for direct charging is possible; and third, optimal use of trans former with the TENG for impedance matching, or voltage and current conversion is made possible.In this work, we introduce a mechanical frequency regulator (MFR) to obtain predictable uniform output from the TENG despite changes in the external input. First, handdriven input rotation energy of variable and low frequency was stored in a spiral spring (or mainspring). Then, the stored energy was Mechanical energy scavengers convert irregular input mechanical energy into irregular electrical output. There is a need to enable uniform and predictable electric output from energy scavengers regardless of the variability in the mechanical input. So, in this work, a mechanical frequency regulator is proposed that fixes the input forces and input frequency acting on a triboelectric nanogenerator, thus enabling predictable electric output. The irregular low frequency mechanical input energy is firs...

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A Triboelectric‐Based Artificial Basilar Membrane to Mimic Cochlear Tonotopy

Cited by 75 publications

References 35 publications

Bioinspired Electronics for Artificial Sensory Systems

Bioinspired Electronics for Artificial Sensory Systems

Biomimetic Artificial Basilar Membranes for Next‐Generation Cochlear Implants

Design of Mechanical Frequency Regulator for Predictable Uniform Power from Triboelectric Nanogenerators

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