Trial Outcomes & Findings for Cognitive-based Prosthetics to Improve Grasp and Reaching After SCI (NCT NCT04577573)
NCT ID: NCT04577573
Last Updated: 2025-04-25
Results Overview
Percent change in time (seconds) to achieve secure grasp. Lower time is better.
Recruitment status
COMPLETED
Study phase
NA
Target enrollment
13 participants
Primary outcome timeframe
Baseline and Following the 6 hour lab session, assessed while performing the task
Results posted on
2025-04-25
Participant Flow
Participant milestones
| Measure |
Cognition Glove
Participants wear an instrumented glove on one hand while performing reaching and grasping tasks.
|
Sensory Brace
Participants wear an instrumented brace on one shoulder/upper arm while performing reaching and grasping tasks.
|
Participated in Both Cognition Glove and Sensory Brace
Participated in both Cognition Glove and Sensory Brace experiments
|
|---|---|---|---|
|
Overall Study
STARTED
|
4
|
7
|
2
|
|
Overall Study
No Feedback
|
4
|
7
|
2
|
|
Overall Study
Glove Feedback
|
4
|
0
|
2
|
|
Overall Study
Glove + Virtual Reality (VR) Feedback
|
4
|
0
|
2
|
|
Overall Study
Brace + Visual Feedback
|
0
|
7
|
0
|
|
Overall Study
Brace + Visual + Haptic Feedback
|
0
|
7
|
0
|
|
Overall Study
COMPLETED
|
4
|
5
|
2
|
|
Overall Study
NOT COMPLETED
|
0
|
2
|
0
|
Reasons for withdrawal
| Measure |
Cognition Glove
Participants wear an instrumented glove on one hand while performing reaching and grasping tasks.
|
Sensory Brace
Participants wear an instrumented brace on one shoulder/upper arm while performing reaching and grasping tasks.
|
Participated in Both Cognition Glove and Sensory Brace
Participated in both Cognition Glove and Sensory Brace experiments
|
|---|---|---|---|
|
Overall Study
Technical - invalid protocol
|
0
|
2
|
0
|
Baseline Characteristics
Cognitive-based Prosthetics to Improve Grasp and Reaching After SCI
Baseline characteristics by cohort
| Measure |
Cognition Glove
n=4 Participants
Participants wear an instrumented glove on one hand while performing reaching and grasping tasks.
|
Sensory Brace
n=7 Participants
Participants wear an instrumented brace on one shoulder/upper arm while performing reaching and grasping tasks.
|
Participated in Both Cognition Glove and Sensory Brace
n=2 Participants
Participated in both Cognition Glove and Sensory Brace experiments
|
Total
n=13 Participants
Total of all reporting groups
|
|---|---|---|---|---|
|
Age, Categorical
<=18 years
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
|
Age, Categorical
Between 18 and 65 years
|
4 Participants
n=5 Participants
|
7 Participants
n=7 Participants
|
2 Participants
n=5 Participants
|
13 Participants
n=4 Participants
|
|
Age, Categorical
>=65 years
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
|
Sex: Female, Male
Female
|
2 Participants
n=5 Participants
|
1 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
3 Participants
n=4 Participants
|
|
Sex: Female, Male
Male
|
2 Participants
n=5 Participants
|
6 Participants
n=7 Participants
|
2 Participants
n=5 Participants
|
10 Participants
n=4 Participants
|
|
Ethnicity (NIH/OMB)
Hispanic or Latino
|
1 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
1 Participants
n=4 Participants
|
|
Ethnicity (NIH/OMB)
Not Hispanic or Latino
|
3 Participants
n=5 Participants
|
7 Participants
n=7 Participants
|
2 Participants
n=5 Participants
|
12 Participants
n=4 Participants
|
|
Ethnicity (NIH/OMB)
Unknown or Not Reported
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=5 Participants
|
1 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
1 Participants
n=4 Participants
|
|
Race (NIH/OMB)
Black or African American
|
0 Participants
n=5 Participants
|
1 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
1 Participants
n=4 Participants
|
|
Race (NIH/OMB)
White
|
4 Participants
n=5 Participants
|
5 Participants
n=7 Participants
|
2 Participants
n=5 Participants
|
11 Participants
n=4 Participants
|
|
Race (NIH/OMB)
More than one race
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
0 Participants
n=4 Participants
|
PRIMARY outcome
Timeframe: Baseline and Following the 6 hour lab session, assessed while performing the taskPopulation: Data invalid for one participant in No cognitive feedback, 2 participants in Intermediate feedback, and 1 participant in Enhanced feedback
Percent change in time (seconds) to achieve secure grasp. Lower time is better.
Outcome measures
| Measure |
No Cognitive Feedback
n=5 Participants
Perform task without cognitive feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Intermediate Feedback.
n=4 Participants
Perform task with intermediate feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Enhanced Feedback
n=5 Participants
Perform task with virtual reality and/or haptic feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
|---|---|---|---|
|
Percent Change in Time to Achieve Secure Grasp (Cognition Glove Only)
|
39.9 % change in time to secure grasp
Standard Deviation 65.5
|
-14.6 % change in time to secure grasp
Standard Deviation 11.9
|
10.1 % change in time to secure grasp
Standard Deviation 54.9
|
PRIMARY outcome
Timeframe: Baseline and Following the 6 hour lab session, assessed while performing the taskPercent change in time (seconds) to pick up and re-place object. Lower time is better.
Outcome measures
| Measure |
No Cognitive Feedback
n=6 Participants
Perform task without cognitive feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Intermediate Feedback.
n=6 Participants
Perform task with intermediate feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Enhanced Feedback
n=6 Participants
Perform task with virtual reality and/or haptic feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
|---|---|---|---|
|
Percent Change in Time to Complete Pick-up and Placement of Object-Cognition Glove
|
20.2 % change in time to pick-up/placement
Standard Deviation 19.7
|
7.9 % change in time to pick-up/placement
Standard Deviation 25.8
|
-24.4 % change in time to pick-up/placement
Standard Deviation 24.3
|
PRIMARY outcome
Timeframe: Baseline and Following the 6 hour lab session, assessed while performing the taskPopulation: Data invalid for two participants in each condition.
Percent change in time (seconds) to complete target reaching trials in VR environment. Lower time is better.
Outcome measures
| Measure |
No Cognitive Feedback
n=5 Participants
Perform task without cognitive feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Intermediate Feedback.
n=5 Participants
Perform task with intermediate feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Enhanced Feedback
Perform task with virtual reality and/or haptic feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
|---|---|---|---|
|
Percent Change in Time to Complete Trial-Sensory Brace
|
18.6 % change in time to complete trial
Standard Deviation 9.1
|
3.3 % change in time to complete trial
Standard Deviation 12.5
|
—
|
SECONDARY outcome
Timeframe: Baseline and Following the 6 hour lab session, assessed while performing the taskPercent change in pathlength during reaching/grasping/moving. Shorter is better.
Outcome measures
| Measure |
No Cognitive Feedback
n=6 Participants
Perform task without cognitive feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Intermediate Feedback.
n=6 Participants
Perform task with intermediate feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Enhanced Feedback
n=6 Participants
Perform task with virtual reality and/or haptic feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
|---|---|---|---|
|
Percent Change in Motion Pathlength in Moving Object-Cognition Glove
|
39.1 % change in motion pathlength
Standard Deviation 13.1
|
21.9 % change in motion pathlength
Standard Deviation 31.2
|
-12.4 % change in motion pathlength
Standard Deviation 19.1
|
SECONDARY outcome
Timeframe: Baseline and Following the 6 hour lab session, assessed while performing the taskPopulation: Data invalid for two participants in each condition.
Percent change in pathlength during reaching virtual targets. Shorter is better.
Outcome measures
| Measure |
No Cognitive Feedback
n=5 Participants
Perform task without cognitive feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Intermediate Feedback.
n=5 Participants
Perform task with intermediate feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Enhanced Feedback
Perform task with virtual reality and/or haptic feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
|---|---|---|---|
|
Percent Change in Motion Pathlength Toward Virtual Targets-Sensory Brace
|
17.7 % change in motion pathlength
Standard Deviation 10.6
|
1.4 % change in motion pathlength
Standard Deviation 6.5
|
—
|
SECONDARY outcome
Timeframe: Baseline and Following the 6 hour lab session, assessed while performing the taskPopulation: After initiating the study, it was quickly determined that this outcome measure was irrelevant. All participants are able to complete the task. Outcome measures 1 and 2 capture the impact of difficulty grasping and moving the object without requiring a separate subjective measure of 'error'.
Error in completing placement of object onto target.
Outcome measures
| Measure |
No Cognitive Feedback
n=6 Participants
Perform task without cognitive feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Intermediate Feedback.
n=6 Participants
Perform task with intermediate feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
Enhanced Feedback
n=6 Participants
Perform task with virtual reality and/or haptic feedback.
Cognition glove: The investigators have developed and tested a functional prototype of an instrumented glove to alert the user about secure grasp of objects. Onboard force and flex sensors provide inputs to a machine learning algorithm (artificial neural network, ANN) to estimate secure grasp based on previously collected training data. The glove enhances agency by alerting the user to secure grasp through sensory feedback modules (visual - LED, audio - beeper, tactile - vibrator).
Sensory brace: A a size- and position-adjustable arm brace with weight-support capability and housing for vibration motors and EMG sensors. Position adjustment allows for physical therapists to find and recommend arm postures that are clinically relevant to
each person. The participant can then isometrically push/resist against the brace to strengthen target muscles while performing VR reach-to-touch. The person will receive visual feedback from the virtual environment to train movement performance and vibrotactile feedback at tendons to subconsciously adjust their muscle activation patterns
|
|---|---|---|---|
|
Error in Placing Object Onto Target (Cognition Glove Only)
|
0 Error in placing object onto target.
Standard Deviation 0
|
0 Error in placing object onto target.
Standard Deviation 0
|
0 Error in placing object onto target.
Standard Deviation 0
|
Adverse Events
Cognition Glove
Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths
Sensory Brace
Serious events: 0 serious events
Other events: 1 other events
Deaths: 0 deaths
Serious adverse events
Adverse event data not reported
Other adverse events
| Measure |
Cognition Glove
n=6 participants at risk
Participants wear an instrumented glove on one hand while performing reaching and grasping tasks.
Note, the 3 different feedback conditions all occur during the same session and involve wearing the same sensors, so it's not possible to distinguish condition-specific AEs, especially because no AEs occurred in this group.
|
Sensory Brace
n=7 participants at risk
Participants wear an instrumented brace on one shoulder/upper arm while performing reaching and grasping tasks.
Note, the 2 different brace feedback conditions all occur during the same session and involve wearing the same sensors, so it's not possible to distinguish the EEG cap-related discomfort according to feedback condition.
|
|---|---|---|
|
Skin and subcutaneous tissue disorders
Discomfort from EEG gel in hair
|
0.00%
0/6 • 24 hours.
Participants were asked a standardized set of questions to review potential symptoms and adverse events.
|
14.3%
1/7 • Number of events 1 • 24 hours.
Participants were asked a standardized set of questions to review potential symptoms and adverse events.
|
Additional Information
Noam Y. Harel, MD, PhD
James J. Peters VA Medical Center
Phone: 718-584-9000
Email: [email protected]
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place