Evidence map›Paper›PMID 38196743›Full record

ArticleArXiv2023

The UmboMic: A PVDF Cantilever Microphone.

Aaron J Yeiser, Emma F Wawrzynek, John Z Zhang, Lukas Graf, Christopher I McHugh, Ioannis Kymissis, Elizabeth S Olson, Jeffrey H Lang, Hideko Heidi Nakajima

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PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Aaron J YeiserMIT Electrical Engineering and Computer Science (EECS) Department, Cambridge, MA, 02139.
Emma F WawrzynekMIT Electrical Engineering and Computer Science (EECS) Department, Cambridge, MA, 02139.
John Z ZhangMIT Mechanical Engineering Department.
Lukas GrafHarvard Medical School and Mass. Eye and Ear Department of OHNS.
Christopher I McHughHarvard Medical School and Mass. Eye and Ear Department of OHNS.
Ioannis KymissisColumbia University Department of Electrical Engineering.
Elizabeth S OlsonColumbia University Departments of OTO/HNS and Biomedical Engineering.
Jeffrey H LangMIT EECS department.
Hideko Heidi NakajimaHarvard Medical School and Eaton-Peabody Laboratories at Mass. Eye and Ear Department of OHNS.

Funding

Implantable Microphones for Fully Implantable Hearing ProstheticsR01DC016874 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI LANG, JEFFREY H, NAKAJIMA, HIDEKO HEIDI · 2019 to 2023
$1.8M
NIDCD NIH HHS R01 DC016874
6 · The paper itself

Abstract

Objective: We present the "UmboMic," a prototype piezoelectric cantilever microphone designed for future use with totally-implantable cochlear implants. Methods: The UmboMic sensor is made from polyvinylidene difluoride (PVDF) because of its low Young's modulus and biocompatibility. The sensor is designed to fit in the middle ear and measure the motion of the underside of the eardrum at the umbo. To maximize its performance, we developed a low noise charge amplifier in tandem with the UmboMic sensor. This paper presents the performance of the UmboMic sensor and amplifier in fresh cadaveric human temporal bones. Results: When tested in human temporal bones, the UmboMic apparatus achieves an equivalent input noise of 32.3 dB SPL over the frequency range 100 Hz to 7 kHz, good linearity, and a flat frequency response to within 10 dB from about 100 Hz to 6 kHz. Conclusion: These results demonstrate the feasibility of a PVDF-based microphone when paired with a low-noise amplifier. The reported UmboMic apparatus is comparable in performance to a conventional hearing aid microphone. Significance: The proof-of-concept UmboMic apparatus is a promising step towards creating a totally-implantable cochlear implant. A completely internal system would enhance the quality of life of cochlear implant users.

Identifiers

PMID38196743
PMCPMC10775356

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.