# CuffLink: Remotely Monitored Rotator Cuff Repair Rehabilitation at Home

> **NIH NIH R41** · ELIZUR CORPORATION · 2022 · $259,612

## Abstract

ABSTRACT
Rotator cuff tears are the primary cause of shoulder disability in adults, generating between $3 and $12 billion
in healthcare costs annually. Rotator cuff repair (RCR) surgery results in greater improvement than non-surgical
options. However, post-RCR rehabilitation requires a careful balance of movement to prevent shoulder stiffness
while keeping the shoulder stable to protect repair integrity. Current early rehabilitation involves passive range
of motion exercises performed during out-patient physiotherapy.
Together, ēlizur and the University of Pittsburgh propose to develop CuffLink, a telehealth system for post-RCR
rehabilitation, by integrating two previous successful developments: the mechanical Strengthening &
Stabilization Systems (SSS) and the remote monitoring capabilities of interACTION (iA). CuffLink will aid post-
RCR rehabilitation by providing a safe, reliable and at-home means of mobilizing the shoulder, while allowing for
remote monitoring. This reduces the need for costly in-patient visits in the early stage of rehabilitation, increases
accessibility to care for patients with limited mobility and/or in rural areas, and increases communication and
supervision by physicians and their staff through the clinician portal.
First, a Delphi survey will be conducted with orthopaedic surgeons and physical therapists to understand their
opinions on the current RCR best practices. Concurrently, an integrated movement monitoring application
programming interface will be developed and refined according to the consensus established by the expert
Delphi panel. This will result in the conversion of raw data signals from quantitative motion sensors in the SSS
into clinically acceptable and telehealth ready data streams. Then, a mobile health system based on iA will be
developed. This will include an app suite for patients and a clinician portal, which will provide exercise feedback
to both patients and clinicians, and allow clinicians to monitor patient data and engage patients.
Then, the accuracy and test-retest reliability of CuffLink will be validated using a group of RCR patients recruited
primarily through the UPMC Orthopaedic Surgery clinics. Measured readings from CuffLink will be compared to
a gold standard optical motion capture system, and participants will return to the testing facility a few days later
to repeat the exercises. Finally, the feasibility, usability, and acceptability of CuffLink for use in patients’ homes
will be assessed. These will be evaluated both quantitatively and qualitatively, and the results are expected to
demonstrate high satisfaction.
Successful completion of this project will result in a device that combines the safety of mechanical motion
exercise equipment with quantitative motion tracking and remote monitoring to personalize and optimize patient
recovery from RCR surgery at lower costs. It is expected that the device, CuffLink, will be ready for clinical
evaluation in a Phase II proposal.

## Key facts

- **NIH application ID:** 10546661
- **Project number:** 1R41AR079357-01A1
- **Recipient organization:** ELIZUR CORPORATION
- **Principal Investigator:** Kevin M Bell
- **Activity code:** R41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $259,612
- **Award type:** 1
- **Project period:** 2022-09-15 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10546661

## Citation

> US National Institutes of Health, RePORTER application 10546661, CuffLink: Remotely Monitored Rotator Cuff Repair Rehabilitation at Home (1R41AR079357-01A1). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10546661. Licensed CC0.

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