BoryTinnitus Solution

BoryTinnitus Solution | Bory EEG-Based Tinnitus Analysis and Relief Music Generation Solution |

An AI sound healthcare solution that analyzes EEG biosignals and user tinnitus data to generate and recommend personalized tinnitus relief music

 

BoryTinnitus Solution is an AI-based tinnitus analysis and music generation solution designed to analyze EEG biosignal data, user tinnitus status information, listening feedback, and preferred sound data, and to generate and recommend personalized tinnitus relief music and masking sound content.

 

Tinnitus differs from one user to another in perceived frequency, intensity, discomfort, duration, stress response, impact on sleep, and listening environment. Therefore, providing the same music or masking sound to every user cannot fully reflect individual responses.

BoryTinnitus Solution combines EEG-based biosignal analysis with users' subjective tinnitus input data to record each user's tinnitus status and content response, and supports the development of personalized tinnitus relief music services by integrating with Songle, Bory's AI music generation technology.

 

It can be used by hearing centers, hospitals, research institutes, universities, digital healthcare companies, tinnitus management service providers, and AI music service companies when building tinnitus analysis and personalized sound content services.

 

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Customer Challenges

 

Tinnitus is perceived very differently by each individual

The pitch, loudness, duration, discomfort, and stress level of tinnitus vary from user to user.

Even when listening to the same masking sound or music, some users may feel comfortable while others may experience little or no benefit.

BoryTinnitus Solution records each user's tinnitus status, EEG biosignals, and listening feedback together to support analysis of individual responses.

 

Existing tinnitus content lacks personalization

Many tinnitus relief contents are provided in general forms such as white noise, nature sounds, or sounds based on fixed frequencies.

However, content delivery structures that reflect a user's tinnitus frequency, discomfort, listening preferences, and EEG responses are often limited.

BoryTinnitus Solution can establish a structure for personalized music generation and content recommendations based on user data.

 

Changes before and after music listening are not managed as data

Service advancement is difficult unless the system records which music a user listened to, how discomfort changed before and after listening, and how EEG signals changed.

BoryTinnitus Solution is built to store and analyze pre- and post-listening status inputs, EEG data, content usage history, and feedback data together.

 

A system is needed to support both tinnitus research and service operation

Research institutes need to systematically collect EEG data and user feedback, while service companies need to provide personalized content based on those data.

BoryTinnitus Solution can be built with user interfaces, researcher interfaces, an administrator dashboard, and music generation and recommendation functions, taking both research data collection and commercial service operation into account.

 

Solution Overview

BoryTinnitus Solution is a deployable solution that combines EEG-based tinnitus analysis with AI music generation technology.

 

Key features include the following.

• Collect EEG Biosignal Data
• Enter and Record Tinnitus Condition
• Manage Feedback on Tinnitus Intensity and Discomfort
• Input of tinnitus frequency and preferred sounds
• Record Changes Before and After Music Listening
• EEG-based user response analysis
• Generation of personalized tinnitus relief music
• Recommendations for masking sounds, white noise, and sound content
• Songle Tinnitus Service Integration
• Development of user app and web interfaces
• Development of a researcher data management interface
• Administrator Dashboard Development
• Generation of individual and group analysis reports
• External Healthcare Service API Integration

 

Key Features

 

1. EEG Biosignal-Based Tinnitus Response Analysis

BoryTinnitus Solution is configured to collect EEG biosignal data and analyze it together with users' tinnitus status records.

EEG data can be managed together with user feedback before and after listening to music, resting, or listening to specific masking sounds.

This allows researchers and service operators to identify which sound content produces a more stable response for each user.

 

2. Tinnitus Status Input and Recording

Users can enter their tinnitus status through an app or web interface.

 

The input fields can be configured as follows.

• Tinnitus intensity
• Tinnitus discomfort
• Time of tinnitus occurrence
• Perceived left-right location
• Perceived frequency
• Impact on sleep
• Stress level
• Changes before and after listening
• Preferred sounds
• Listening satisfaction

The input fields can be adjusted according to the purpose of the institution or service.

 

3. Personalized Tinnitus Relief Music Generation

BoryTinnitus Solution integrates with Bory's AI music generation technology to generate personalized tinnitus relief music for each user.

Based on the user's tinnitus status, preferred timbre, listening feedback, and EEG response data, the service can be expanded to sound content that reflects suitable music styles, tempos, timbres, frequency characteristics, and repetitive structures.

 

4. Integration with Songle Tinnitus Service

BoryTinnitus Solution can integrate with Songle Tinnitus Service to build a tinnitus relief music generation and recommendation service.

Using Songle-based AI music generation technology makes it possible to go beyond general masking sounds and expand into a personalized music service that reflects each user's response data.

Users can listen to music suited to their condition and leave feedback after listening, while the service can use those data to improve recommendation and generation results.

 

5. Masking Sound and White Noise Content Recommendations

In addition to tinnitus relief music, the service can recommend various sound contents such as masking sounds, white noise, nature sounds, calming sounds, and concentration sounds.

Content recommendation methods can be configured based on the user's tinnitus frequency, discomfort, listening environment, preferences, and feedback.

 

6. Analysis of Pre- and Post-Listening Status Changes

Users can record changes in their condition before and after listening to music or masking sounds.

BoryTinnitus Solution compares tinnitus intensity, discomfort, stress level, EEG responses, and listening satisfaction before and after listening to analyze each user's response to content.

The results can be used to improve the service by identifying which music or sounds are more suitable for each user.

 

7. Development of User App and Web Interfaces

Through an app or web interface, users can record their tinnitus status, listen to recommended music, and review their listening history and analysis results.

 

The user interface can include the following functions.

• Tinnitus status recording
• Review of EEG measurement records
• Playback of recommended music
• Masking sound selection
• Input of pre- and post-listening feedback
• Status change graph
• Individual listening history
• Personalized music recommendation list

 

8. Researcher and Administrator Dashboard

Research institutes, hospitals, hearing centers, and service operators can review individual user data and group statistics through the administrator dashboard.

The dashboard can include the following functions.

• Review of individual tinnitus records
• Review of EEG measurement history
• Response analysis by music content
• Analysis of status changes before and after listening
• Group statistics
• Data search by research condition
• Generate Analysis Reports
• User management
• Content management

 

9. Analysis Report Generation

BoryTinnitus Solution can generate analysis reports for individual users or groups.

Reports may include tinnitus status records, EEG data summaries, listened-to content, feedback changes, responses to recommended music, and status changes over time.

Report formats can be adjusted for different purposes, including research institute reports, service operation reports, and user summary reports.

 

10. Integration with External Healthcare Services

BoryTinnitus Solution can connect through APIs to a customer's existing apps, web services, healthcare platforms, user account systems, consultation systems, and content services.

It can be implemented by adding EEG-based tinnitus analysis, personalized music generation, listening feedback, and reporting functions to an existing service.

 

Available Deployment Configurations

 

Basic Deployment Configuration

• EEG data collection module
• Tinnitus Condition Input Screen
• Pre- and post-listening feedback input function
• Listening-History Management by User
• Biosignal data storage module
• Tinnitus Analysis Algorithm
• User App or Web Interface
• Administrator Dashboard
• Analysis result viewing interface
• Basic report generation function

 

Extended Deployment Configuration

• Songle Tinnitus Service Integration
• Personalized Tinnitus-Relief Music Generation
• Masking sound and white noise recommendation function
• Tinnitus Frequency Information Input
• Preferred sound input function
• Response analysis by content
• EEG-based listening response analysis
• Statistics by user group
• Researcher Data-Management Screen
• Institutional administrator permission management
• Music content management function
• Analysis report customization
• External Healthcare Service API Integration
• Cloud server deployment
• On-premises server deployment
• Data anonymization and research dataset construction
• User consent management function

 

Application Scenarios

 

Development of a tinnitus relief music service

The solution can be built as a service that provides personalized tinnitus relief music based on tinnitus status and EEG data.

Users can enter their condition, listen to recommended music, and record changes before and after listening.

Service operators can continuously improve music recommendation and generation functions based on user response data.

 

Support service for hearing centers and hospitals

Hearing centers, hospitals, and consultation organizations can use the solution as a support system for managing users' tinnitus status records, EEG measurement results, and music listening feedback.

Changes in status before and after consultations, content usage history, and analysis reports can be used as reference information.

 

Tinnitus research at universities and research institutes

Universities and research institutes can collect and analyze EEG-based tinnitus response data, changes before and after sound listening, user questionnaires, and tinnitus frequency information.

Research datasets can be created by managing music content, masking sounds, user groups, and measurement sessions by research condition.

 

Integrate with Digital Healthcare Services

Healthcare companies can integrate BoryTinnitus Solution into existing apps or web services to add tinnitus analysis, personalized music recommendations, status recording, and reporting functions.

It can be operated together with user accounts, content playback, consultation services, and subscription services.

 

Songle-based personalized sound service

Songle AI music generation technology can be used to expand the service into one that generates music content tailored to each user's tinnitus status and preferences.

By combining AI composition technology with biosignal analysis technology, Bory can create a differentiated tinnitus sound service of its own.

 

Institutional tinnitus management service for broad deployment

When welfare organizations, local governments, or hearing support organizations operate tinnitus management support services, user accounts, device management, listening history, feedback, and reporting functions can be configured together.

 

Expected Benefits

 

Establishing a foundation for personalized tinnitus content

The solution establishes a foundation for providing sound content that is more suitable for each individual based on the user's tinnitus status, EEG responses, and listening feedback.

 

Combining music generation technology with tinnitus management services

Bory's AI music generation technology can be connected to tinnitus relief content to create a service differentiated from general white noise or fixed masking sounds.

 

Converting Tinnitus Condition into Data

A data-driven management structure can be created by recording users' subjective tinnitus status together with EEG data, feedback, and listening history.

 

Securing Research and Development Data

Tinnitus frequency, EEG data, listening content, and user feedback can be collected together for tinnitus analysis and sound-content research.

 

Continuous Service Improvement

Recommended music, masking sounds, analysis algorithms, and service interfaces can be continuously improved based on listening responses and feedback.

 

Establishing an institutional management framework

Hospitals, hearing centers, research institutes, and healthcare companies can manage individual user data and group statistics and systematize service operation and research through analysis reports.

 

Deployment Process

 

1. Requirements Review

We review the customer's service purpose, target users, EEG device configuration, scope of music generation, data collection fields, and personal data processing standards.

 

2. Data Structure Design

We design how EEG data, tinnitus status inputs, listening history, music content, feedback, user accounts, and analysis results will be stored and managed.

 

3. PoC Development

For a subset of users or music content, we validate EEG data collection, tinnitus status input, music recommendations, feedback, and administrator interfaces.

 

4. Music Generation and Recommendation Structure Design

We design a structure for personalized music generation, masking sound recommendations, and content feedback application by integrating with Songle Tinnitus Service.

 

5. User and Administrator Interface Development

We develop user app and web interfaces, researcher interfaces, administrator dashboards, music content management interfaces, and analysis report interfaces.

 

6. External Service Integration

We integrate the solution with existing healthcare apps, user account systems, content services, consultation systems, and payment and subscription systems.

 

7. Operational Verification and Enhancement

Based on actual user data, we improve music recommendations, feedback input methods, analysis reports, administrator functions, and content generation methods.

 

What BoryTinnitus Solution Can Do

 

• Develop an EEG-based tinnitus analysis system
• Develop a tinnitus status input and recording system
• Manage Feedback on Tinnitus Intensity and Discomfort
• Record Changes Before and After Music Listening
• Listening-History Management by User
• Analyze Tinnitus Response Based on EEG
• Songle Tinnitus Service Integration
• Generation of personalized tinnitus relief music
• Develop masking sound and white noise recommendation functions
• Development of user app and web interfaces
• Develop a researcher data management dashboard
• Develop a music content management system
• Generate Analysis Reports
• Develop support services for hearing centers and hospitals
• Manage research tinnitus datasets
• External Healthcare Service API Integration
• Develop a cloud-based tinnitus management service
• Develop an on-premises research and institutional system

 

Implementation Inquiries

BoryTinnitus Solution can be proposed as a PoC, research deployment, institutional deployment, service integration, or app and web service development project according to the customer's service purpose, target users, EEG data collection method, tinnitus status input fields, scope of music generation, content integration method, and personal data processing standards.

• Inquiry About Introducing an EEG-Based Tinnitus Analysis and Relief Music Generation Solution
• Inquiry About Building a Tinnitus Relief Music Service
• Inquiry About Integrating Songle Tinnitus Service
• Inquiry About an EEG-Based Tinnitus Analysis PoC
• Inquiry About Support Services for Hearing Centers and Hospitals
• Inquiry About a Research Tinnitus Data Collection System
• Inquiry About Developing User App and Web Interfaces
• Inquiry About a Researcher Data Management Dashboard
• Inquiry About API Integration with External Healthcare Services
• Request a Proposal

 

Important Information

 

BoryTinnitus Solution is a solution for research, development, and support services that provides EEG biosignal-based tinnitus status analysis and personalized tinnitus relief music generation and recommendations.

This solution is not a medical device intended for the diagnosis, treatment, or prevention of disease and does not guarantee a medical diagnosis of tinnitus or any therapeutic effect.

 

Tinnitus analysis and music recommendations are reference information for condition records and service support and do not replace medical judgment.

Users should seek care from a qualified medical institution if tinnitus symptoms are severe or suddenly worsen.

 

EEG data and analysis results may vary according to wearing condition, user movement, environment, signal quality, duration of use, and individual biosignal differences.

The perceived effects of music listening and tinnitus relief vary by individual, and no specific outcome is guaranteed.

 

When storing or transmitting biosignal data, tinnitus information, listening history, or feedback, prior agreement is required regarding privacy and data-security policies.

When generating or providing music content, the content copyright, scope of use, service delivery method, and user consent standards must be reviewed in advance.

 

Before introduction, the intended use, data collection method, analysis fields, scope of music generation, service integration method, and personal data processing standards must be reviewed in advance.

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BORY.ai Key Services Overview

Bory Co., Ltd. develops products, solutions, platforms, and services for industrial, medical, public-sector, healthcare, and barrier-free applications based on AI technologies involving speech, language, video, sensors, and data.

Below are the main representative domains currently operated or being prepared by Bory Co., Ltd. 

 

Primary Domain	Service/Brand	Description
bory.ai	BORY.ai	The official AI brand website of Bory Co., Ltd., serving as the company’s main website for the integrated presentation of its products, solutions, platforms, and services
borysense.com	BORY SENSE	An AI-powered hearing assistance platform that supports communication for people with hearing disabilities and older adults through real-time captioning, lip-reading AI, and AR glasses integration
borytalk.com	BORY TALK	A web-based conversational AI chatbot service designed for civil service inquiries, consultations, information guidance, and customer support
borykiosk.com	BORY KIOSK	A barrier-free AI kiosk service for older adults and people with disabilities, featuring voice guidance, captioning, and easy-to-use interfaces
boryservice.com	BORY SERVICE	A service portal introducing Bory’s AI services and custom-built AI offerings for industrial, public-sector, and everyday applications
borysong.com	BORY SONG	A music AI service that supports AI-powered composition, music generation, and sound content production