Clinical Validation of Telerehabilitation Systems for Shoulder Rehabilitation

Table of contents
  1. What is ReHub® and How Does It Work?
  2. Study Objective: Validation of the Real-Time Feedback Algorithm
  3. Methodology: Experimental Design and Validation Criteria
  4. Results: High Accuracy in Error Detection
  5. Implications for Rehabilitation Centers
  6. Study Limitations and Future Development Lines
  7. Why Focus on Shoulder Rehabilitation?
  8. Recommended Use Cases for Shoulder Rehabilitation
  9. Sustainability and Return on Investment
  10. Clinical Integration, Care Continuity, and System Scalability
  11. Conclusion

The growing demand for shoulder rehabilitation services—driven by population aging, musculoskeletal injuries, and orthopedic surgeries—is straining healthcare resources. This pressure manifests in prolonged waiting lists, limited access, and high operational costs. In this context, telerehabilitation emerges as an effective tool to optimize therapeutic processes, enhance adherence, and reduce the care burden.arXiv

One of the most common conditions requiring specialized physiotherapeutic intervention is shoulder dysfunction, whether due to sports injuries, surgeries like rotator cuff repair, or degenerative diseases. Validating digital solutions to address this rehabilitation remotely is essential to ensure optimal and sustainable clinical outcomes.

 

What is ReHub® and How Does It Work?

ReHub® is a digital telerehabilitation platform developed by DyCare, designed to offer personalized and remotely supervised therapies. It is based on the use of an inertial sensor that allows real-time movement monitoring, provides immediate feedback to the patient, and generates useful clinical data for healthcare professionals.

Unlike other systems that require multiple sensors or complex installations, ReHub® simplifies the evaluation and follow-up process using a single sensor placed on the relevant anatomical area. This enables its use both in healthcare centers and in the patient’s home, promoting a hybrid care model.

Study Objective: Validation of the Real-Time Feedback Algorithm

The study led by DyCare and the University of Barcelona, in collaboration with the MedSport medical center in Italy, aimed primarily to validate the real-time feedback algorithm integrated into ReHub® for shoulder rehabilitation exercises. The system’s ability to identify execution errors and offer immediate correction is key to ensuring therapeutic efficacy remotely.

Methodology: Experimental Design and Validation Criteria

To evaluate the system’s accuracy, five therapeutic exercises focused on shoulder mobility and control were selected. Nine healthy subjects performed 13 repetitions per exercise. The first repetition served as a reference pattern, and the following were divided among correct executions, errors due to limited range of motion, and errors due to postural compensations or applied force.

Movement parameters were recorded using accelerometers and gyroscopes and analyzed with the movement cycle comparison algorithm. For an execution to be considered correctly detected, at least 80% of the repetitions had to match the expected pattern.arXiv+2PMC+2arXiv+2

 

Results: High Accuracy in Error Detection

The results obtained in the study are highly encouraging for clinical application:

  • Correct executions detected in 89 ± 2% of cases.

  • Errors due to limited range of motion identified in 90 ± 7%.

  • Compensations outside the main plane detected in 95 ± 8%.

  • Errors related to undue force or effort recognized in 97 ± 3%.

Overall, the system achieved a global accuracy of 93 ± 4%, using only one inertial sensor. This figure positions ReHub® as a robust tool for remote monitoring, allowing an initial functional evaluation of the patient without the need for constant in-person supervision.

 

Implications for Rehabilitation Centers

 

Operational Efficiency Improvement

By implementing a validated system like ReHub®, rehabilitation centers can reduce the burden of in-person sessions without compromising treatment quality. This allows:

  • Optimizing physiotherapists’ schedules.

  • Increasing care capacity.

  • Reducing waiting times.

  • Offering therapeutic continuity even in rural areas or for patients with reduced mobility.

Increased Treatment Adherence

One of the main challenges in rehabilitation is maintaining patient adherence to the therapeutic program. The system’s ability to offer immediate and motivating feedback during exercise execution, along with remote monitoring, significantly improves patient engagement and reduces treatment dropout.

Generation of Objective Data and Traceability

ReHub® allows recording each therapeutic session, generating progress reports, and detecting improvement or stagnation patterns. This information is key to:

 

Study Limitations and Future Development Lines

 

One of the main limitations identified in the study is the inability to detect compensations that do not involve movements outside the main exercise plane. To address this limitation, DyCare is already working on developing more sophisticated algorithms that allow recognizing the specific type of compensation, as well as integrating artificial intelligence to improve the system’s learning.

Additionally, future versions could include greater personalization of reference patterns, analysis of strength and muscle fatigue, and synchronization with other medical devices for a more comprehensive view of the patient’s functional status.

 

Why Focus on Shoulder Rehabilitation?

 

The shoulder is a complex, highly mobile joint prone to recurrent injuries. Shoulder pathologies represent a significant percentage of physiotherapy consultations, including:

Shoulder rehabilitation requires precision in execution, postural control, and careful progression. The possibility of performing this recovery remotely, supervised by a validated system, represents a strategic innovation for any physiotherapy center or hospital unit.

Recommended Use Cases for Shoulder Rehabilitation

 

Center managers may consider implementing ReHub® in the following scenarios:

  • Post-surgical rehabilitation after shoulder arthroscopy.

  • Treatment of sports injuries in semi-professional athletes.

  • Home physiotherapy programs for the elderly.

  • Combined protocols of in-person and virtual sessions.

  • Optimizing follow-up in chronic patients with frequent relapses.

 

Sustainability and Return on Investment

 

In addition to clinical benefits, ReHub® enables a significant reduction in operational costs. The decrease in in-person sessions, better utilization of professional time, and reduction of absences directly impact service profitability. In the medium term, integrating these systems allows offering new services, retaining patients, and positioning the center as innovative and adapted to digital transformation.

Clinical Integration, Care Continuity, and System Scalability

 

The system’s validation also reinforces clinical professionals’ confidence in using digital technologies, a key factor for their widespread adoption. Having empirical results demonstrating the system’s ability to identify relevant errors in exercise execution allows physiotherapists to incorporate these tools as an integral part of treatment, rather than viewing them as an optional complement.

Moreover, implementing ReHub® facilitates care continuity in contexts where in-person presence is limited, such as postoperative situations at home, rehabilitation in rural areas, or during health crises. This flexibility not only ensures that the patient continues their recovery but also promotes a more resilient health model adapted to new social needs.

Finally, the system’s scalability allows its integration into both small clinics and large hospitals, thanks to its technical simplicity and minimal required infrastructure. This democratizes access to modern, data-driven, patient-centered rehabilitation without the need for large initial investments. For center managers, it represents a safe bet towards the progressive digitalization of physiotherapy services.PMC

 

Conclusion

 

The clinical validation of the shoulder telerehabilitation system with ReHub® demonstrates that it is possible to offer effective, safe, and evidence-based treatments, even outside the traditional clinical environment. With an average accuracy of 93%, this system allows detecting key errors in exercise execution, ensuring therapeutic progress, and keeping the patient actively involved.MDPI

For rehabilitation centers seeking to modernize their services, improve efficiency without losing care quality, and position themselves against growing demand, solutions like ReHub® represent a strategic opportunity with scientific backing and field experience.

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