Recognise Back is a specialized health and fitness application designed to assist users in managing pain, enhancing performance, and supporting rehabilitation through a structured Graded Motor Imagery (GMI) program. The app focuses on improving the user's ability to discriminate between left and right body images, which is crucial for retraining the brain in cases of chronic pain or injury.

The application offers two main modes: TEST and TRAIN. In TEST mode, users assess their quickness and accuracy in identifying whether an image represents a left or right body part. TRAIN mode leverages neuroplasticity with various tools to enhance this recognition skill. Recognise Back also provides graded difficulty levels, personal best challenges, and detailed progress tracking through graphs and onscreen results.

This app is particularly beneficial for patients undergoing physical therapy or rehabilitation, as it allows them to capture their own images for personalized training and export their results directly to healthcare providers. By integrating clinical tools and evidence-based methods, Recognise Back delivers a comprehensive solution for those seeking to improve their motor imagery skills within a therapeutic context.

Recognise Back stands out with its unique approach to rehabilitation by incorporating scientifically-backed Graded Motor Imagery techniques. Users can engage with 'Memory' and 'Speed match' tools that elevate their training experience, ensuring continuous improvement and adaptation. These features are complemented by adjustable difficulty levels and challenges that encourage users to achieve personal bests, making each session both engaging and productive.

The app provides powerful clinical integration capabilities, allowing users to export and email detailed reports of their progress directly to their clinicians or therapists. This seamless communication facilitates better monitoring and adjustment of treatment plans. Additionally, Recognise Back enables users to capture and utilize their own images for training purposes, offering a highly personalized rehabilitation process.

With comprehensive explanations of the science behind Left/Right Discrimination and Graded Motor Imagery, Recognise Back ensures users understand the underlying principles of their therapy. Detailed onscreen results and graphs provide clear visual feedback on performance trends over time, empowering users to take an active role in their recovery journey while maintaining motivation through visible progress.

Recognise Back offers a personalized approach to pain management and rehabilitation through its specialized training tools. The app's Graded Motor Imagery program is designed to adapt to individual needs, providing tailored exercises that evolve with the user's progress.

The application features graded difficulty levels and personal best challenges, ensuring that each user's experience is uniquely suited to their rehabilitation journey. This systematic progression helps users build confidence while improving their left/right discrimination abilities at a pace that suits their specific requirements.

With comprehensive tracking features, including detailed onscreen results and graphs, users can monitor their improvement over time. These personalized insights enable both patients and clinicians to adjust training programs based on concrete data, maximizing rehabilitation effectiveness.

Tracking progress is crucial in rehabilitation, and Recognise Back excels in visualizing user achievements through sophisticated graphical representations. The app provides detailed performance charts and progress graphs that clearly demonstrate improvements in left/right discrimination abilities.

Users can access comprehensive statistics about their training sessions, including accuracy rates and response times. These visual indicators help maintain motivation by showing tangible evidence of improvement in their cognitive and physical abilities.

The app's powerful clinical integration tools enhance progress visualization by allowing users to export and email their results directly to healthcare professionals. This feature facilitates more informed discussions between patients and clinicians, leading to better-informed treatment decisions and more effective rehabilitation strategies.