Postdoctoral Researcher at Shirley Ryan AbilityLab
About Me
I am currently working as a Postdoctoral Researcher at the Shirley Ryan AbilityLab in Chicago, IL. I'm currently under the supervision of Dr. Arun Jayaraman at Shirley Ryan AbilityLab. My research focuses on improving the quality of life for individuals recovering from stroke by creating advanced, user-friendly technology that enhances rehabilitation outcomes using Wearable Sensors and Machine Learning.
Education
Ph.D. in Mechanical and Aerospace Engineering
University of California, Irvine (2018-2023)
Advisor: Dr. David J. Reinkensmeyer
Dissertation: Improving Wearable Feedback for Upper Extremity Rehabilitation after Stroke
M.Sc. in Mechanical and Aerospace Engineering
University of California, Irvine (2021)
Advisor: Dr. David J. Reinkensmeyer
Thesis: Smoothness Metrics for Measuring Arm Movement Quality after Stroke with a Wrist Accelerometer
B.E. in Mechanical Engineering
Seikei University (2012-2016)
Advisor: Dr. Takashi Sakai
Thesis: Development of Upright and Hub for Formula SAE Car using Finite Element Method (FEM) analysis
Outstanding Student Award (2012-2015)
Publications
Lanotte, F., Okita, S., O’Brien, M.K., Jayaraman, A. (2024). “A Stroke-Specific Neural Network to Estimate Continuous Gait Speed Using a Single Inertial Measurement Unit.” 2024 IEEE 20th International Conference on Body Sensor Networks (BSN).
Okita, S., Lucena, D.S., Reinkensmeyer, D.J. (2024). Movement diversity and complexity increase as arm impairment decreases after stroke: Quality of movement experience as a possible target for wearable feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
Cornella-Barba, G., Okita, S., Li, Z., Reinkensmeyer, D.J. (2024). Real-Time Sensing of Upper Extremity Movement Diversity Using Kurtosis Implemented on a Smartwatch. Sensors, 24(16), 5266.
Okita, S., Yakunin, R., Korrapati, J., Ibrahim, M., Lucena, D.S., Chan, V., Reinkensmeyer, D.J. (2023). Counting finger and wrist movements using only a wrist-worn inertial measurement unit. Sensors 2023, 23(12), 5690.
Lucena, D.S., Rowe, J.B., Okita, S., Chan, V., Cramer, S.C., Reinkensmeyer, D.J. (2022, January). Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial. Sensors 22, no. 18.
Okita, S., Lucena, D.S., Chan, V., Reinkensmeyer, D.J. (2021). Measuring Movement Quality of the Stroke-Impaired Upper Extremity with a Wearable Sensor: Toward a Smoothness Metric for Home Rehabilitation Exercise Programs. The IEEE Engineering in Medicine and Biology Society.
Sanders, Q., Okita, S., Lobo-Prat, J., Lucena, D.S., Smith, B.W., Reinkensmeyer, D.J. (2018). Design and control of a novel grip amplifier to support pinch grip with a minimal soft hand exoskeleton. 7th IEEE International Conference on Biomedical Robotics and Biomechatronics.
Conference Abstracts
Lanotte, F., Okita, S., Campagnini, S., Chau, A., O’Brien, M.K., Jayaraman, A. (2024). “Prediction of Responders to Post-Stroke Rehabilitation Therapy Based on Section GG of the Inpatient Rehabilitation Facility-Patient Assessment Instrument.” 6th International Conference on NeuroRehabilitation (ICNR2024).
Cao, Y., Rogers, J.M., Okita, S., Lanotte, F., O’Brien, M.K., Jayaraman, A. (2024). “Effects of Varying Distance Walked per Session on Functional Gait Outcomes Following Stroke in Inpatient Rehabilitation.” Submitted to 2024 Combined Sections Meeting (CSM).