| Literature DB >> 32547893 |
Louis Pisha1, Julian Warchall1, Tamara Zubatiy2, Sean Hamilton3, Ching-Hua Lee1, Ganz Chockalingam2, Patrick P Mercier1, Rajesh Gupta4, Bhaskar D Rao1, Harinath Garudadri2.
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.Entities:
Year: 2019 PMID: 32547893 PMCID: PMC7297218 DOI: 10.1109/access.2019.2951145
Source DB: PubMed Journal: IEEE Access ISSN: 2169-3536 Impact factor: 3.367