Evidence map›Paper›PMID 32547893›Full record

ArticleIEEE access : practical innovations, open solutions2019

A Wearable, Extensible, Open-Source Platform for Hearing Healthcare Research.

Louis Pisha, Julian Warchall, Tamara Zubatiy, Sean Hamilton, Ching-Hua Lee, Ganz Chockalingam, Patrick P Mercier, Rajesh Gupta, Bhaskar D Rao, Harinath Garudadri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Real-Time Multirate Multiband Amplification for Hearing Aids.IEEE access : practical innovations, open solutions · 2022
    Article
  2. Article
  3. SSGD: SPARSITY-PROMOTING STOCHASTIC GRADIENT DESCENT ALGORITHM FOR UNBIASED DNN PRUNING.Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) · 2020
    Article
  4. Multirate Audiometric Filter Bank for Hearing Aid Devices.Conference record. Asilomar Conference on Signals, Systems & Computers
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Louis PishaDepartment of Electrical and Computer Engineering, University of California, San Diego.
Julian WarchallDepartment of Electrical and Computer Engineering, University of California, San Diego.
Tamara ZubatiyQualcomm Institute, University of California, San Diego.
Sean HamiltonDepartment of Computer Science and Engineering, University of California, San Diego.
Ching-Hua LeeDepartment of Electrical and Computer Engineering, University of California, San Diego.
Ganz ChockalingamQualcomm Institute, University of California, San Diego.
Patrick P MercierDepartment of Electrical and Computer Engineering, University of California, San Diego.
Rajesh GuptaDepartment of Computer Science and Engineering, University of California, San Diego. Halıcıoğlu Data Science Institute.
Bhaskar D RaoDepartment of Electrical and Computer Engineering, University of California, San Diego.
Harinath GarudadriQualcomm Institute, University of California, San Diego.

Funding

Quantifying Physical and Social Isolation, and Assessing Perceived LonelinessR01DC015436 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GARUDADRI, HARINATH · 2016 to 2020
$2.4M
Self fitting of Amplification: Methodology and CandidacyR33DC015046 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI GARUDADRI, HARINATH, MACKERSIE, CAROL L · 2017 to 2020
$2.0M
Self fitting of Amplification: Methodology and CandidacyR21DC015046 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI GARUDADRI, HARINATH, MACKERSIE, CAROL L · 2016 to 2016
$222k
NIDCD NIH HHS R01 DC015436NIDCD NIH HHS R21 DC015046NIDCD NIH HHS R33 DC015046
6 · The paper itself

Abstract

Hearing loss is one of the most common conditions affecting older adults worldwide. Frequent complaints from the users of modern hearing aids include poor speech intelligibility in noisy environments and high cost, among other issues. However, the signal processing and audiological research needed to address these problems has long been hampered by proprietary development systems, underpowered embedded processors, and the difficulty of performing tests in real-world acoustical environments. To facilitate existing research in hearing healthcare and enable new investigations beyond what is currently possible, we have developed a modern, open-source hearing research platform, Open Speech Platform (OSP). This paper presents the system design of the complete OSP wearable platform, from hardware through firmware and software to user applications. The platform provides a complete suite of basic and advanced hearing aid features which can be adapted by researchers. It serves web apps directly from a hotspot on the wearable hardware, enabling users and researchers to control the system in real time. In addition, it can simultaneously acquire high-quality electroencephalography (EEG) or other electrophysiological signals closely synchronized to the audio. All of these features are provided in a wearable form factor with enough battery life for hours of operation in the field.

Identifiers

PMID32547893
PMCPMC7297218

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.