
Recognise Back is a specialized health and fitness application designed to assist users in managing pain, enhancing performance, and aiding in 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 parts, 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 images of body areas as either left or right. TRAIN mode leverages the brain's neuroplasticity with various tools aimed at enhancing this recognition ability. 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 integrates clinical tools that allow users to export and email their results directly to healthcare providers. Additionally, users can capture their own images for personalized training sessions, making Recognise Back a comprehensive tool for both patients and clinicians in the recovery process.
Recognise Back stands out with its unique approach to rehabilitation by incorporating scientifically-backed methods such as Left/Right Discrimination and Graded Motor Imagery. The app includes 'Memory' and 'Speed match' tools that elevate the training experience, allowing users to push their cognitive abilities further. These features are complemented by adjustable difficulty levels and challenges that encourage users to beat their personal bests.
One of the key highlights of Recognise Back is its powerful clinical integration capabilities. Users can export their performance data and email it directly to their clinician or therapist, facilitating better communication and more informed treatment adjustments. The app also supports capturing custom images on the device, enabling a tailored training regimen that aligns with individual therapeutic goals.
With its comprehensive explanation of the underlying science, Recognise Back educates users about the principles of GMI and how it aids in rehabilitation. This educational component empowers users to understand the rationale behind their exercises, promoting adherence and maximizing the benefits of the program. Overall, Recognise Back combines advanced training tools with clinical integration and educational content to deliver a robust rehabilitation solution.
Recognise Back offers a personalized approach to pain management and rehabilitation through its specialized training tools. The app's 'Memory' and 'Speed match' features are designed to adapt to individual performance, providing a customized experience that evolves with the user's progress.
The Graded difficulty levels ensure that each user can start at a comfortable level and gradually increase the challenge as they improve. This personalized progression is crucial for maintaining motivation and achieving optimal results in pain reduction and performance enhancement.
With personal best challenges, users can set and strive towards individual goals, further tailoring the experience to their unique rehabilitation journey. This feature promotes healthy competition with oneself, which is essential for sustained engagement and success.
Tracking progress is vital in any rehabilitation program, and Recognise Back excels in visualizing user advancement through detailed onscreen results and graphs. These visual aids provide clear feedback on performance trends over time, helping users understand their improvement in left/right discrimination tasks.
The ability to map progress visually not only motivates users by showing tangible results but also enables clinicians to monitor patient development remotely. The graphical representation of data simplifies complex information, making it accessible for both patients and healthcare providers.
Additionally, the powerful clinical integration tools allow for seamless sharing of these visual reports. Users can export and email their progress charts directly to their clinician or therapist, facilitating more informed discussions and adjustments to treatment plans when necessary.
User-friendly interface
Customizable training options
Detailed progress tracking
Clinical integration tools
Science-based methodology
Premium pricing model
Limited free features
Requires consistent use
Steep learning curve
Dependent on external guidance

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