24 Participants Needed

Exercise Monitoring System for Osteoarthritis

NO
SB
Overseen BySam Bruton
Age: 18+
Sex: Any
Trial Phase: Phase 1 & 2
Sponsor: University of Southern Mississippi
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

What is the purpose of this trial?

Exercise is very important for living healthier and longer lives. For people with obesity and osteoarthritis, exercise is even more important because it can help them feel less pain in their joints. Also, the more intense the exercise is, the larger the health benefits will be. The most common ways to exercise are running and riding a stationary bicycle. However, these two types of exercise can cause problems for people with obesity and osteoarthritis. Fast running creates large loads in the knees because of the impact of the foot on the ground. On the other hand, studies in cycling show limited improvement in pain because cycling does not allow the feet to move freely, which is important for reducing pain in people with osteoarthritis. This study introduces a new way to exercise using a hip flexion feedback system (HFFS). The subjects will exercise by increasing how much they lift their knees while walking on treadmill. The exercise will also involve controlling the impact of the feet on the treadmill. The HFFS monitors the subject's heart rate during the exercise using a standard heart rate monitor. A TV placed in front of the treadmill shows how high individuals need to lift their knees. How much participants need to lift their knees is calculated by the HFFS based on real-time heart rate readings. Therefore, the HFFS can help people stay at a specific exercise intensity by controlling how high it tells them lift their knees during the exercise. This study will have participants with osteoarthritis and obesity in two groups. One group will exercise using the HFFS. Another group will not exercise. The exercise group will do a 12-week high intensity exercise program. Our first goal is to determine how much fitness, pain, and the ability to move improve due to the exercise program. With this study we are looking to introduce a better and safer way to exercise for people with osteoarthritis and obesity. The results of this study will also allow for further development of home-based exercise and telemedicine.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It is best to discuss this with the study coordinators or your doctor.

What data supports the effectiveness of the treatment Hip Flexion Feedback System (HFFS) for osteoarthritis?

Research suggests that combining exercises for the knee and hip with internal feedback techniques can effectively change movement patterns, which may help in conditions like osteoarthritis. This approach has shown moderate evidence in reducing certain movements and improving others, indicating potential benefits for managing hip-related issues.12345

Is the Exercise Monitoring System for Osteoarthritis safe for humans?

The research on the wearable magnet-based system, which is similar to the Exercise Monitoring System for Osteoarthritis, shows it was used safely in humans and animals to measure joint movement and activity. No safety issues were reported in the study.678910

How does the Hip Flexion Feedback System (HFFS) treatment for osteoarthritis differ from other treatments?

The Hip Flexion Feedback System (HFFS) is unique because it uses wearable technology to provide real-time feedback on hip movement, helping patients monitor and improve their physical activity and joint function. This approach is different from traditional treatments that may not offer continuous, personalized feedback on joint motion and activity levels.16111213

Eligibility Criteria

This trial is for adults aged 30-75 with obesity (BMI between 30.0 and 50.0) who are sedentary, have medical clearance, and knee pain from osteoarthritis but no recent severe heart issues, joint surgeries, or certain other health conditions like dementia or terminal illnesses.

Inclusion Criteria

I have knee pain diagnosed as osteoarthritis with a specific pain score.
Sedentary (not meeting ACSM guidelines for physical activity)
BMI ≥ 30.0 kg/m2 and ≤ 50.0 kg/m2
See 2 more

Exclusion Criteria

I haven't been hospitalized for stroke, heart attack, or heart surgery in the last 3 months.
I have severe dementia or significant memory loss.
Pregnancy
See 9 more

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants in the exercise group will undergo a 12-week high intensity exercise program using the Hip Flexion Feedback System (HFFS) to monitor and adjust exercise intensity.

12 weeks
Weekly in-person visits for exercise sessions

Control

Participants in the control group will have a 12-week period of no intervention followed by a 12-week high intensity exercise program.

24 weeks
Bi-weekly in-person visits for monitoring

Follow-up

Participants are monitored for safety and effectiveness after treatment, including assessments of cardiovascular function, fasting blood glucose, balance, body composition, physical function, muscle strength, cardiorespiratory fitness, and osteoarthritis symptoms.

4 weeks
2 visits (in-person)

Treatment Details

Interventions

  • Hip Flexion Feedback System (HFFS)
Trial OverviewThe study tests a hip flexion feedback system (HFFS) that guides knee-lifting exercises on a treadmill based on real-time heart rate to improve fitness and reduce pain in people with osteoarthritis and obesity compared to those not exercising.
Participant Groups
2Treatment groups
Experimental Treatment
Active Control
Group I: InterventionExperimental Treatment1 Intervention
This group will do a 12-week high intensity exercise program. The subjects will exercise by increasing how much they lift their knees while walking on treadmill. The exercise will also involve controlling the impact of the feet on the treadmill. A TV placed in front of the treadmill shows how high individuals need to lift their knees. How much participants need to lift their knees is calculated based on real-time heart rate readings.
Group II: ControlActive Control1 Intervention
This group will do initially a 12-week period of no intervention. After these 12 weeks, participants will do a 12-week high intensity exercise program. The subjects will exercise by increasing how much they lift their knees while walking on treadmill. The exercise will also involve controlling the impact of the feet on the treadmill. A TV placed in front of the treadmill shows how high individuals need to lift their knees. How much participants need to lift their knees is calculated based on real-time heart rate readings.

Find a Clinic Near You

Who Is Running the Clinical Trial?

University of Southern Mississippi

Lead Sponsor

Trials
16
Recruited
3,200+

Findings from Research

Accelerometer-based activity monitoring is a practical and effective method for measuring physical activity in orthopaedic patients, providing valuable data that complements traditional assessments of physical function and pain.
This technology can help clinicians track patients' activity levels over time, enabling better coaching towards achieving physical activity goals and promoting a more active lifestyle during rehabilitation.
Use of accelerometer-based activity monitoring in orthopaedics: benefits, impact and practical considerations.Sliepen, M., Lipperts, M., Tjur, M., et al.[2020]
Supervised progressive resistance training significantly improved patient-reported function, hip-related pain, and health-related quality of life in 189 participants with hip osteoarthritis, compared to common treatments.
Despite these positive outcomes, the overall quality of evidence was rated low due to issues like lack of blinding in the studies, indicating that further research is needed to confirm these findings.
Effectiveness of supervised resistance training for patients with hip osteoarthritis - a systematic review.Hansen, S., Mikkelsen, LR., Overgaard, S., et al.[2021]
A systematic review of 37 trials involving 1235 participants found that combining knee/hip exercises with internal feedback significantly reduces frontal knee movements in individuals with patellofemoral pain, indicating a strong therapeutic effect.
This combination of interventions also effectively reduces frontal hip movements and increases sagittal knee movements, while single applications of braces or taping showed little to no impact on movement changes.
Effectiveness of Interventions Aimed at Changing Movement Patterns in People With Patellofemoral Pain: A Systematic Review With Network Meta-analysis.Nunes, GS., de Oliveira, J., Iacob, GS., et al.[2023]

References

Use of accelerometer-based activity monitoring in orthopaedics: benefits, impact and practical considerations. [2020]
Effectiveness of supervised resistance training for patients with hip osteoarthritis - a systematic review. [2021]
Effectiveness of Interventions Aimed at Changing Movement Patterns in People With Patellofemoral Pain: A Systematic Review With Network Meta-analysis. [2023]
Mid-term outcomes of exercise therapy for the non-surgical management of femoroacetabular impingement syndrome: are short-term effects persisting? [2022]
The Effect of Simultaneous Antigravity Treadmill Training and Electrical Muscle Stimulation After Total Hip Arthroplasty: Short Follow-Up Time. [2020]
A Wearable Magnet-Based System to Assess Activity and Joint Flexion in Humans and Large Animals. [2019]
Outcome after hip arthroscopy for femoroacetabular impingement in 289 patients with minimum 2-year follow-up. [2022]
Comparison of Lower Extremity Kinematics during the Overhead Deep Squat by Functional Movement Screen Score. [2022]
Validation of the Brazilian version of the Hip Sports Activity Scale (HSAS) for patients with femoroacetabular impingement: a cross-sectional study. [2023]
A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults. [2019]
11.United Statespubmed.ncbi.nlm.nih.gov
Wearable Sensor Array Design for Spine Posture Monitoring During Exercise Incorporating Biofeedback. [2021]
Ambulatory measurement of knee motion and physical activity: preliminary evaluation of a smart activity monitor. [2018]
13.United Statespubmed.ncbi.nlm.nih.gov
Real-time activity classification in a wearable system prototype for knee health assessment via joint sounds. [2020]