BGC Science

Name: BGC Science
Author: Northeastern University

Northeastern University

CLINICAL GRADE

Validated in clinical trials

For:General Public & Enthusiasts

Free

Download on the App Store Get it on Google Play

App Summary

BGC Science is a mobile platform designed for researchers, clinicians, and the public to administer a range of psychoacoustical tasks for auditory assessment outside of a traditional laboratory. Validation studies demonstrated that the platform's test results show high repeatability and are comparable to or better than those from standard laboratory methods, even when using consumer-grade hardware in less controlled settings. The associated research concludes that this accessible tool can reliably measure auditory function, providing a normative baseline against which auditory dysfunction can be identified.

App Screenshots

Detailed Description

Functionality & Mechanism

Developed by the Brain Game Center at Northeastern University, BGC Science is a mobile platform for administering psychoacoustical assessments. Known in research as Portable Automated Rapid Testing (PART), the system operates on consumer-grade tablets and calibrated headphones. It delivers a battery of auditory tasks, including spatial release from masking, binaural sensitivity, and spectrotemporal modulation discrimination. The interface is engineered to rapidly collect threshold data in settings outside of traditional laboratories, facilitating remote and field-based auditory research.

Evidence & Research Context

Two validation studies demonstrated that the platform can replicate standard laboratory results for several psychoacoustical tests using consumer-grade hardware.
In studies involving younger normal-hearing and older hearing-impaired listeners, spatial release and spectrotemporal modulation thresholds were found to be equivalent to or better than those reported in established literature.
A validation study confirmed high test-retest repeatability, which was maintained across different headphone models (passive and active noise-attenuating) and in the presence of recorded background noise.
The platform's methodology has been used to establish a normative baseline dataset, which can serve as a reference for identifying auditory dysfunction in future research.

Intended Use & Scope

This application is intended for researchers, clinicians, and students requiring a tool for accessible psychoacoustical data collection. Its primary utility is for research-grade auditory assessment in non-laboratory environments. The platform does not provide clinical diagnoses of hearing disorders and is not a substitute for a comprehensive audiological evaluation conducted by a qualified healthcare professional.

Studies & Publications

2 publications

Peer-reviewed research associated with this app.

Validation Study

Portable Automated Rapid Testing (PART) for auditory research: Validation in a normal hearing population

Lelo et al. (2020) · The Journal of the Acoustical Society of America

Produced consistent, repeatable hearing assessments comparable to laboratory results across varied conditions.

This study aims to determine the degree to which Portable Automated Rapid Testing (PART), a freely available program running on a tablet computer, is capable of reproducing standard laboratory results. Undergraduate students were assigned to one of three within-subject conditions that examined repeatability of performance on a battery of psychoacoustical tests of temporal fine structure processing, spectro-temporal amplitude modulation, and

Validation Study

Development and validation of Portable Automated Rapid Testing (PART) measures for auditory research

Gallun et al. (2018) · Proceedings of Meetings on Acoustics

App-based hearing tests reliably matched laboratory-standard measurements across diverse auditory tasks.

The current state of consumer-grade electronics means that researchers, clinicians, students, and members of the general public across the globe can create high-quality auditory stimuli using tablet computers, built-in sound hardware, and calibrated consumer-grade headphones. Our laboratories have created a free application that supports this work: PART (Portable Automated Rapid Testing). PART has implemented a range of psychoacoustical tasks

In the Media

Can you train your brain for better memory? This Northeastern study points to yes

Northeastern University psychology professor Susanne Jaeggi developed BGC Science to improve working memory skills, using machine learning algorithms to predict a person's working memory performance. "It's critical to have good working memory skills," said Jaeggi, co-director of the Brain Game Center for Mental Fitness and Well-Being, noting that "if we struggle with working memory, all other cognitive domains suffer." Her recent study found that people can benefit from training their working memory skills through targeted interventions.

NortheasternRead article