Abstract Details

Title Augmented Reality-based Physical Assessment (ARPA) for Remote Assessment of Patients with Prior Stroke: A Feasibility Study

Topic Neuro-rehabilitation

Presentation(s) P7 - Poster Session 7 (11:45 AM-12:45 PM)

Poster/Presentation
Number 11-002

Objective Assess the feasibility of the ARPA use for patients with a history of stroke affecting the upper extremity.

Background Over 700,000 patients in the US suffer from stroke yearly and about 70% of patients with stroke will experience some degree of arm weakness. Despite the importance of rehabilitation, access to outpatient rehabilitation is often limited by long waitlists and by the need for appointments in person. Home-based rehabilitation is an alternative to increase access. However, methods to accurately track patient progress at home are needed by clinicians to create the plan of care.

Design/Methods Based on the original Upper Extremity Fugl-Meyer (FMA-UE) assessment, we developed a virtual version of the FMA-UE (vFMA-UE) with 21 tasks excluding reflexes, implemented using our customized assessment software and an augmented reality headset. The primary outcome of the study was to assess patient tolerance and experience. Two patients with prior stroke underwent an ARPA followed by a standard FMA-UE evaluation by an occupational therapist or physician. Software calibration was allowed between each patient.

Results Two patients participated in the initial evaluation. Both patients completed the augmented-reality assessment and reported a positive experience. The first patient scored 37/57 on vFMA-UE and 39/60 on FMA-UE, while the second patient scored 40/57 and 41/60, respectively. Both patients indicated that breaks during the assessment are required. One patient required assistance from another person to adjust the headset, but neither patient required assistance to start the application or complete the assessments.

Conclusions In conclusion, based on our preliminary results, our ARPA system successfully delivered a virtual assessment of upper-extremity deficits in patients with stroke, suggesting its feasibility. In the next phases, we plan to assess the correlation between vFMA-UE and FMA-UE with a larger group of patients, demonstrate the accuracy of the system and deliver rehabilitation remotely.

Authors/Disclosures
Jose Eduardo Espindola Lima, MD PRESENTER	Dr. Espindola Lima has nothing to disclose.
Yuri Cho (UC Berkeley)	No disclosure on file
Julie Muccini (Stanford University, School of Medicine)	No disclosure on file
Edward Kim (UC Berkeley)	No disclosure on file
Alan Anaya Gallegos	No disclosure on file
Alton Sturgis	No disclosure on file
James Hu	No disclosure on file
Cathy Zhang	No disclosure on file
Erik Nelson	Erik Nelson has nothing to disclose.
Nick Perlich	No disclosure on file
Sophie Rengarajan, MD, PhD (Stanford Neurology)	Dr. Rengarajan has nothing to disclose.
Sanjit Seshia (UC Berkeley)	The institution of Sanjit Seshia has received research support from National Science Foundation. The institution of Sanjit Seshia has received research support from DARPA. The institution of Sanjit Seshia has received research support from UC Noyce Initiative. The institution of Sanjit Seshia has received research support from Intel Corporation. The institution of Sanjit Seshia has received research support from Toyota Motor Corporation. The institution of Sanjit Seshia has received research support from Nissan. The institution of Sanjit Seshia has received research support from Google.
Maarten G. Lansberg, MD (Stanford Stroke Center)	Dr. Lansberg has received personal compensation in the range of $500-$4,999 for serving as an Expert Witness for Richard & Connor. Dr. Lansberg has received personal compensation in the range of $500-$4,999 for serving as an Expert Witness for Keating Jones Hughes. Dr. Lansberg has received personal compensation in the range of $500-$4,999 for serving as an Expert Witness for Chason, Rosner, Leary & Marshall. Dr. Lansberg has received publishing royalties from a publication relating to health care.

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