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| Name | Class |
|---|---|
| Columbia University | OTHER |
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This project will develop the first sensor-based mobile Pelvic Assist Device (mPAD) that can deliver precise, adaptable, pelvic control to restore natural coordination of upper- and lower-limb movements during gait in children with Cerebral Palsy
Gait impairments hinder mobility for more than 760,000 children and adults living with cerebral palsy (CP) in the US. Motor relearning is possible for these individual but typically requires numerous training sessions with a team of physical therapists and assistants to restore coupling between upper- and lower-body segments while assisting spastic uncoordinated limb movement to improve gait kinematics. This clinical trial will meet the overall objective of testing the feasibility of developing a smart-robotic exoskeleton that is effective at providing guided pelvic assistance and support while biofeedback mediated training is facilitated under the supervision of a physiotherapist. The project will test a novel tethered Pelvic Assist Device (TPAD) with integratable electromyographic (EMG) and inertial (IMU) biofeedback that is uniquely capable of delivering precise, adaptable, multi-degree-of-freedom pelvic control to promote natural intersegmental coupling, restore coordination of upper- and lower-limb movement, and improve normal gait kinematics in children with CP. Because of its proximity to the center of mass and critical role in coordinating upper- and lower-limb control, the pelvis provides an ideal access point for physiotherapists to manually improve gait. The investigators will test the hypothesis that accurate sensor-based metrics of gait can be derived from EMG and IMU wearable sensors to develop a biofeedback system for motor learning that are integratable with TPAD to develop a new mobile mPAD device that is compliant with the target population.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients | Experimental | Gait with and without pelvic assistance |
|
| Controls | Experimental | Gait with no pelvic assistance |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| mPAD (or TPAD) Pelvic Assist Device | Device | Gait retraining device that applies pelvic forces and measures response |
|
| Measure | Description | Time Frame |
|---|---|---|
| Gait Metric Accuracy | Measures the accuracy of identifying heel strike and toe off timing in % error when comparing measures from wearable sensors vs. motion capture | 1 day |
| Pelvis Range of Motion During Walking | Difference (in degrees) between pelvis range of motion during walking as detected by wearable sensors and motion capture | 1 day |
| Muscle Activation During Walking | Measures electromyographic (EMG) signals of trunk and lower limb muscles during gait which are necessary for designing and implementing a mobile pelvic assist device (mPAD) system with biofeedback | 1 day |
| Rating of Perceived Difficulty | Structured interviews will be used to grade the perception of difficulty in using the technology | 1 day |
| Trunk Range of Motion During Walking | Difference (in degrees) between trunk range of motion during walking as detected by wearable sensors and motion capture | 1 day |
| Hip Range of Motion During Walking | Difference (in degrees) between hip range of motion during walking as detected by wearable sensors and motion capture | 1 day |
| Knee Range of Motion During Walking | Difference (in degrees) between knee range of motion during walking as detected by wearable sensors and motion capture |
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Inclusion Criteria (children with CP):
Exclusion Criteria (children with CP):
Inclusion Criteria (healthy volunteers):
Exclusion criteria (healthy volunteers):
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| Name | Affiliation | Role |
|---|---|---|
| Paola Contessa, PhD | Altec Inc. | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Altec Inc. | Natick | Massachusetts | 01760 | United States | ||
| CUMC Harkness Pavillion |
De-identified individual participant data for all primary and secondary outcome measures will be made available
Data will be available within 6 months of study completion
Data access requests will be made through conferencing
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| ID | Title | Description |
|---|---|---|
| FG000 | Patients | Gait with and without pelvic assistance |
| FG001 | Controls | Gait with no pelvic assistance |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Includes only controls that participated in the study.
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| ID | Title | Description |
|---|---|---|
| BG000 | Patients | Gait with and without pelvic assistance |
| BG001 | Controls | Gait with no pelvic assistance |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Gait Metric Accuracy | Measures the accuracy of identifying heel strike and toe off timing in % error when comparing measures from wearable sensors vs. motion capture | Analysis was conducted for control participants that completed the study procedure. | Posted | Mean | Standard Deviation | percentage of error | 1 day |
|
Through assessment duration, an average of 1 day
Includes only controls that participated in the study.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Pelvic Assist (Patients) | Pelvic assistance applied for gait retraining mPAD (or TPAD) Pelvic Assist Device: Gait retraining device that applies pelvic forces and measures response No Intervention: Gait with no pelvic assistance |
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Intervention was not assigned due to mandated patient recruitment restrictions resulting from the Covid-19 emergency.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Paola Contessa | Altec Inc. | 5085458236 | pcontessa@altecresearch.com |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Sep 8, 2021 | Sep 9, 2021 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D002547 | Cerebral Palsy |
| D020233 | Gait Disorders, Neurologic |
| D051346 | Mobility Limitation |
| ID | Term |
|---|---|
| D001925 | Brain Damage, Chronic |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| No Intervention | Device | Gait with no pelvic assistance |
|
| 1 day |
| New York |
| New York |
| 10032 |
| United States |
| BG002 |
| Total |
Total of all reporting groups |
| Participants |
|
| Age, Continuous | Mean | Standard Deviation | years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
| Units | Counts |
|---|
| Participants |
|
|
| Primary | Pelvis Range of Motion During Walking | Difference (in degrees) between pelvis range of motion during walking as detected by wearable sensors and motion capture | Analysis was conducted for control participants that completed the study procedure | Posted | Mean | Standard Deviation | degrees | 1 day |
|
|
|
| Primary | Muscle Activation During Walking | Measures electromyographic (EMG) signals of trunk and lower limb muscles during gait which are necessary for designing and implementing a mobile pelvic assist device (mPAD) system with biofeedback | Analysis was not conducted since patient participants in need of EMG biofeedback were not recruited. | Posted | 1 day |
|
|
| Primary | Rating of Perceived Difficulty | Structured interviews will be used to grade the perception of difficulty in using the technology | Analysis was not conducted since patient participants assigned to the pelvic assistance intervention were not recruited. | Posted | 1 day |
|
|
| Primary | Trunk Range of Motion During Walking | Difference (in degrees) between trunk range of motion during walking as detected by wearable sensors and motion capture | Analysis was conducted for control participants that completed the study procedure | Posted | Mean | Standard Deviation | degrees | 1 day |
|
|
|
| Primary | Hip Range of Motion During Walking | Difference (in degrees) between hip range of motion during walking as detected by wearable sensors and motion capture | Analysis was conducted for control participants that completed the study procedure | Posted | Mean | Standard Deviation | degrees | 1 day |
|
|
|
| Primary | Knee Range of Motion During Walking | Difference (in degrees) between knee range of motion during walking as detected by wearable sensors and motion capture | Analysis was conducted for control participants that completed the study procedure | Posted | Mean | Standard Deviation | degrees | 1 day |
|
|
|
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| EG001 | No Intervention (Controls) | Gait with no pelvic assistance No Intervention: Gait with no pelvic assistance | 0 | 10 | 0 | 10 | 0 | 10 |
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| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |