Robot-Assisted Stroke Rehabilitation Based on Patient-Therapist Interactions
| Status: | Recruiting |
|---|---|
| Conditions: | Healthy Studies, Neurology |
| Therapuetic Areas: | Neurology, Other |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 1/13/2019 |
| Start Date: | May 2014 |
| End Date: | December 2019 |
| Contact: | Kristine A Lima, BS |
| Email: | kristine.lima@uphs.upenn.edu |
| Phone: | 2672182812 |
Our study goal is to assess natural patient-therapist interactions in order to map such
human-human activities to robot-human interactions. Critical to accomplishing this mapping
will be determining the feasibility of a humanoid robot interacting with a patient in a more
intuitive and flexible way, while concomitantly investigating the issue of safe contact and
release.
human-human activities to robot-human interactions. Critical to accomplishing this mapping
will be determining the feasibility of a humanoid robot interacting with a patient in a more
intuitive and flexible way, while concomitantly investigating the issue of safe contact and
release.
Stroke survivors with varying levels of motor deficit impairment in their upper extremity
(UE) will be assessed using standardized clinical scales for cognition and motor impairment.
Following assessment, the patient and therapist will complete a therapy session consisting of
activities of daily living (ADL).
During the therapy session, visual 3D motion tracking will be used via Kinect, audio will be
recorded, and basic measurements (i.e. the distance between a participants wrist and elbow)
will be taken. After the patient-therapist interaction has been mapped, members of the
research team will build computer based models of the therapist and patient using the
insights gained from the human-human interaction. The models developed in this proposed study
will be used as a template for programming safe and intuitive humanoid-patient interactions
for future study. The model of the therapist will be implemented on the Robot (w/o a patient
involved) and in a simulation environment where it will be tested with a computer-based model
of the patient.
(UE) will be assessed using standardized clinical scales for cognition and motor impairment.
Following assessment, the patient and therapist will complete a therapy session consisting of
activities of daily living (ADL).
During the therapy session, visual 3D motion tracking will be used via Kinect, audio will be
recorded, and basic measurements (i.e. the distance between a participants wrist and elbow)
will be taken. After the patient-therapist interaction has been mapped, members of the
research team will build computer based models of the therapist and patient using the
insights gained from the human-human interaction. The models developed in this proposed study
will be used as a template for programming safe and intuitive humanoid-patient interactions
for future study. The model of the therapist will be implemented on the Robot (w/o a patient
involved) and in a simulation environment where it will be tested with a computer-based model
of the patient.
Inclusion Criteria:
- Stroke survivors 18 years of age with hemiplegia and varying levels of impairment
- Healthy subjects greater than 18 years of age with no motor disabilities
Exclusion Criteria:
- Under 18 years of age
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