Machine Learning Insights for Orthopedic Recovery

FocusMotion creates data-driven orthopedic recovery solutions to automatically assess and monitor pre- and post-operative patients, building the deep learning and diagnostic AI that will transform human recovery.


With FocusMotion, recovery monitoring and outcomes optimization is now smart and connected. Our system is a digital suite of tools to monitor patients and track outcomes in real time.

A FULLY CONNECTED RECOVERY PLATFORM

SMART ORTHOTIC

A comfortable orthotic that wraps around the leg above and below the knee combined with sensors to collect accurate movement data.

USER APPLICATION

Our simple application updates users with their daily recovery exercises and guides them through the routine, providing real-time feedback.

DASHBOARD

The FocusMotion Dashboard provides physicians, case managers, and therapists accurate, real-time reporting, across a number of key metrics.

OUR TECHNOLOGY

MOTION TRACKING

An advanced, patented, proprietary, clinically accurate, and journal-published method for quantifying and qualifying human movement.

DEEP LEARNING

As our anonymized patient data base grows, our diagnostic AI would be able to modify individual patient recovery plan utilizing deep learning techniques.

MACHINE LEARNING

Our machine learning techniques adapt quickly and dynamically to new movements to more accurately measure motion signatures.

 

AUTOMATED TRACKING WITH A SMART ORTHOTIC
COMPLIANCE

Every repetition of every set tracked with clinical grade accuracy and compared to the best-in-class recovery protocols that are provided to the patient. Compliance is automatic and in real time via the physician dashboard.

TEMPO

Repetition speed is a key indicator of strength and muscle recovery. With the ability to monitor rep duration and any pause during sets it’s possible to see overall movement recovery progression. In some literature this is referred to velocity spectrum rehabilitation monitoring.

MOBILITY

Going beyond just repetition tracking of standard recovery movements, FocusMotion can monitor stretching exercises and mobility tasks such as the timed up and go test.

RANGE OF MOTION

FocusMotion’s smart recovery system is the only clinically validated range of motion system in the market today, monitoring range of motion progression in every single rep of every single set of movements the patient performs.

COLLECTING PATIENT REPORTED OUTCOME DATA
PAIN

Widely validated pain measures, such as VAS, are used as part of the patient experience correlating valuable pain reporting with real-time movement data for richer information for evaluation.

KOOS

The Knee Injury and Osteoarthritis Outcome Score measures joint-specific pain and physical function that focuses on three dimensions of the patient experience: joint pain, stiffness and function in daily living.

OPIOID USE

During recovery, patients are asked to report their opioid usage regularly providing continuous data on recovery and need for pain medication. Surgeons and their care teams can use this to assess patient need.

STEP TRACKING

Using any API available either via phone or wearable device steps are reported daily both to the surgeon and the patient to monitor overall daily mobility, demonstrating progression as patients return to normal functioning.

THE FUTURE OF RECOVERY: TAILORED TO YOUR SPECIFIC NEEDS
DataExplainer
TERABYTES OF RECOVERY DATA

Recovery data has never before been accessible at this level of scale, diversity, and accuracy. FocusMotion has perspective not only into the patient’s recovery but also the protocols and intervention points from the provider.

CORRELATIONAL INSIGHTS

Applying our Deep Learning techniques, we parse and dissect the data, drawing multi-dimensional correlations between patients, recovery methods, interventions, and outcomes. We then apply this data to new patients, adapting their care automatically based on optimum recoveries seen by their relative cohort.

A DIAGNOSTIC AI

The Diagnostic AI represents a leap forward in recovery care, dynamically reacting to patient progression and adapting the recovery on a daily basis while informing the physician and caregivers.

BUILDING A CONNECTED RECOVERY SYSTEM


COLLECTION

We collect the data from our smart orthotics from an array of different sensors that detect motion.

ANALYSIS AND FEEDBACK

The data is then analyzed, quantified, and qualified with our algorithm and machine learning software.

REPORTING

Recoveries are then reported back to the Dashboard, enabling the care giver to react quickly, intervene, or alert the patient or a change in protocol to optimize recovery.

CORRELATION

Recovery data is correlated and mapped to match relative cohorts.

OPTIMIZATION

The Deep Learning informs the physician for optimized recovery options on a daily basis from past anonymized patient data.