Self-sensing active artificial hair cells inspired by the cochlear amplifier, Part II: Experimental validation
Source abstract
Abstract
Mimicking the nonlinear compressive behavior of the mammalian cochlear amplifier that results in the compression of high-intensity sounds and amplification of faint stimuli can lead to transformative improvements in the dynamic range, sharpness of the response, and threshold of sound detection in cochlear implants to aid individuals with hearing loss. Furthermore, it can enhance the dynamic properties of sensors. This research on developing self-sensing artificial hair cells (AHCs) validates the phenomenological control algorithm established in Part I of the paper to achieve a cochlea-like response from the quadmorph AHCs. As the beam is excited, the voltage of the piezoelectric layers is measured and used to generate a control voltage. Consequently, the controller applies cubic damping to the AHC, while reducing linear damping near its first natural frequency to replicate the biological cochlea’s function. Experimental results validate the model built in Part I of the paper and the work is extended to implement a multi-channel AHC. The system works independent of external sensors and offers significant advantages over previous generations of AHCs such as the ability to embed AHCs in a limited space and to combine several AHCs in an array without the need for external feedback measurement devices.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Hearing, Cochlea, Tinnitus, Genetics · Acoustic Wave Phenomena Research · Hearing Loss and Rehabilitation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA
Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA
Mechanical Engineering-Engineering Mechanics Department, Michigan Tech, Houghton, MI, USA
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA
Funding
National Science Foundation
References (46)
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