Back Pain Clinical Trial
Official title:
Quantifying Biofeedback Training and Retention Effects on Functional Outcomes in Above-knee Prosthesis Users
More than two million Americans are currently living with a full or partial limb loss, and an additional 185,000 amputations occur each year. The majority of amputations occur in the lower limbs. There are many potential causes for amputation, but the majority can be attributed to vascular diseases, such as diabetes, traumatic injury, and cancer. For these individuals, prosthetic devices play an important role in restoring mobility and enabling them to participate in everyday activities. However, when learning to use these devices, patients often alter their movement patterns to compensate for pain or discomfort, a decreased ability to feel what their prosthetic limb is doing, and/or a fear of falling. By changing their movement patterns, patients will tend to am their intact leg, which has been shown to lead to long-term joint damage and chronic injury. For perspective, 75% of United States veterans living with amputation are diagnosed with a subsequent disease affecting their muscle, bone, and/or joint health. Therefore, therapy sessions, known as gait retraining, are an integral part of teaching prosthesis users to walk in a safe and efficient manner. With recent advances in wearable technology, researchers and therapists have begun exploring the use of biofeedback systems to assist with this retraining. In these systems, wearable sensors are used to measure how the patient is moving in real-time, and can provide information on how much time they spend on each leg and how much each joint moves during walking. Biofeedback refers to the process of communicating the information from these sensors back to the patients instruct them whether they need to change their movements. Previous research has shown that these systems have excellent potential for helping patients with physical disabilities improve their quality of motion. However, relatively little research has explored how well individuals with above-knee leg amputations respond to biofeedback during gait retraining. Importantly, the question of whether the new movement patterns taught using biofeedback will persist after training has finished remains unanswered. Therefore, the primary objective of this research is to determine whether biofeedback is a feasible tool for gait retraining with above-knee prosthesis (including a prosthetic knee, ankle, and foot) users. To answer these questions, forty individuals currently using above-knee prosthetic systems will undergo a single session of biofeedback training. Half of these populations will be from the civilian population, and half will be military veterans. During this training, the biofeedback system will apply short vibrations - similar to those generated by cellphones - to their skin every time that the patient reaches the desired degree of hip rotation during walking. Participants will be instructed to keep increasing their hip motion until they feel a vibration on every step. Before training, they will be instrumented with a wearable motion captures system, pressure sensors embedded in their shoes, and a wearable heart rate monitor. Using these devices, researchers will measure the participants' walking patterns without biofeedback determine their current ability. Once training is complete, their walking patterns will be measured again, first while using the biofeedback system, and then again fifteen minutes and thirty minutes after the biofeedback system has been removed. The data measured during these tests will enable researchers to calculate functional mobility scores that are used to evaluate the quality of a patient's walking, and then compare how these scores change before, during, and after biofeedback training. The knowledge gained through this research constitutes a critical step towards identifying optimal biofeedback strategies for maximizing patient mobility outcomes. The findings will be essential for the development of gait retraining protocols designed to reduce the incidence of chronic injury, and enable patients to achieve their full mobility potential. Building on these results, the next research phase will be to incorporate biofeedback training into a standard six-week gait retraining protocol to evaluate its long-term effectiveness as a rehabilitation tool. Unlike traditional gait retraining, which requires patients to visit clinics in-person for all sessions, the wearable, automated nature of biofeedback training will allow patients to continue gait training from home. This ability will enable patients to continue training activities between sessions, and ultimately may be able to substitute for some in-person visits. This potential for remote therapy has exciting implications for improved access to care for individuals living long distances from their rehabilitation providers, or those suffering from social anxiety, as well as during global health pandemics where in-person visits are difficult.
Status | Recruiting |
Enrollment | 35 |
Est. completion date | September 14, 2024 |
Est. primary completion date | September 14, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 70 Years |
Eligibility | Inclusion Criteria: - Unilateral limb amputation occurring between the knee and hip joints - Minimum of one-year post-amputation and should have at least three-months experience walking with their current prosthetic system. - Classified as K2 and K3-level community ambulators will be included in the study. - Able to walk a minimum of 25 minutes with minimal rest. For participants with vascular-related amputations, a doctor's note clearing them to participate in the study will be required. - Able to understand and speak English. Exclusion Criteria: - Previous spinal cord injury, stroke, or traumatic brain injury. - Major upper-limb loss, defined as an amputation occurring proximal to the wrist. - Previous or current injury affecting the function of their intact limb (e.g. pelvic injury, osteoarthritis, etc.) - Significant hip contracture exceeding 15° - Body-mass-index exceeding 35 |
Country | Name | City | State |
---|---|---|---|
United States | VA Palo Alto Healthcare System | Palo Alto | California |
United States | University of California San Francisco | San Francisco | California |
Lead Sponsor | Collaborator |
---|---|
San Jose State University | University of California, San Francisco, VA Palo Alto Health Care System |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Two-minute Walk Test (2MWT) | This outcome is meant to evaluate the functional exercise capacity of the individuals as they walk over a hard, flat surface to cover as much distance as possible in the allotted time. Its results are highly correlated with the longer six-minute walk test and the level of gait deviation determined by the Gait Deviation Index, and therefore can provide a secondary metric for evaluating the level of gait deviations exhibited during walking. | 30 minutes | |
Secondary | Gait Symmetry Indices (SIs) | Gait symmetry indices are often used to quantify the degree of overloading/under-loading of the prosthetic and intact limbs. For this study, traditional SIs will be calculated from the ground reaction force impulse and peak magnitudes to provide estimates of cyclic loading asymmetry and loading response asymmetry, respectively. These clinical metrics provide overall degrees of gait symmetry based on kinetic data. Two additional SIs (individual regions of deviation analysis and symmetry regions of deviation analysis) will be calculated using the kinematic data to quantify the joint angle symmetry between intact and prosthetic limbs | 30 minutes | |
Secondary | Modified Gait Profile Score (mGPS) | This outcome is calculated using the kinematics and kinetic data measured with the motion capture system, and provides a summary score grading the overall severity of gait deviations exhibited by individuals with lower-limb amputation. The mGPS is based on the Gait Profile Score, but has been modified to enable the inclusion and omission of different kinematic parameters, based on the prosthesis componentry. mGPS values are expressed in units of rotation (radians or degrees) so that higher scores correspond to worse kinematic patterns. In other words, higher scores indicate less symmetric walking. | 30 minutes |
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