The research team proposes to expand and adapt this existing sensor platform to work with people living with ALS. Researchers will add wrist-based wearable sensors (like a smart watch or fitness tracker) to the system, adding the ability to track indicators like blood oxygen saturation and activity outside of the home. Researchers will first test […]
Heise, D., Yi, R., and Despins, L., "Unobtrusively Detecting Apnea and Hypopnea Events via a Hydraulic Bed Sensor", Proceedings of the 16th IEEE International Symposium on Medical Measurements and Applications (MeMeA 2021), June 2021."
Specific Aims. Development and Acceptability of an Ambient In-Home Activity Assessment Tool for Stroke Stroke is the leading cause of serious, long-term disability in the United States . Every year, approximately 800,000 people experience a new or recurrent stroke . Due to advances in acute neurological care, nearly 85% survive and many live with the […]
Mishra, A. K., Skubic, M., Despins, L. A., Popescu, M., Rantz, M., Keller, J., and Lane, K., "Development of a Functional Health Index for Older Adults using the Electronic Health Record," in IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), May 19-22, 2019, Chicago, IL, USADownload PDF
Rosales, L., Su, B-Y, M., Skubic, M. & Ho, KC., “Heart Rate Monitoring Using Hydraulic Bed Sensor Ballistocardiogram,” Journal of Ambient Intelligence and Smart Environments, Vol. 9, pp. 193-207, 2017.Download PDF
Rui, L., Chen, S., Ho, KC., Rantz, M. & Skubic, M., “Estimation of human walking speed by Doppler radar for elderly care," Journal of Ambient Intelligence and Smart Environments, Vol. 9, pp. 181-191, 2017.
Banerjee, T., Yefimova, M., Keller, J., Skubic, M., Woods, D.L. & Rantz, M., "Exploratory analysis of older adults’ sedentary behavior in the primary living area using Kinect depth data," Journal of Ambient Intelligence and Smart Environments, Vol. 9, pp. 163-179, 2017.
Enayati, M., Su, B.Y., Despins, L., Skubic, M., Keller, J.M., and Popescu, M., "Investigating the Interaction between Ballistocardiogram and Respiratory Phases," Proceedings, International Conference on Biomedical and Health Informatics (BHI 2017), Orlando FL, Feb 2017.Download PDF
Newland, P., Wagner, JM., Salter, A., Thomas, F.P., Skubic, M. & Rantz, M., “Exploring the Feasibility and Acceptability of Sensor Monitoring of Gait and Falls in the Homes of Persons with Multiple Sclerosis,” Gait and Posture, Vol. 49, pp. 277-282, Sept., 2016.Download PDF »
Sherman, S., Gulbrandsen, T., Miller, S., Guess, T., Willis, B., Blecha, K., Huo, Z., Skubic, M. & Gray, A. “Mass Screening of Youth Athletes for High Risk Landing Patterns using a Portable and Inexpensive Motion Sensor Device.” AOSSM. Poster Presentation for the Annual AOSSM Meeting. Colorado Springs, CO. July 2016.Download PDF »
Guess, T.M., Razu, S., Jahandar, A., Skubic, M. & Huo, Z., “Comparison of 3D Joint Angles Measured With the Kinect 2.0 Skeletal Tracker Versus a Marker Based Motion Capture System,” Journal of Applied Biomechanics, 2016:1-18.
We are developing an application to automate data collection for the physical function assessments that are normally measured manually by physical therapists or nurses. The assessment tool will be used every 6 months to assess older adults’ functional movement and range of motion as part of the Health Kiosk project.
We have tested our monitoring and health alert system in TigerPlace, an aging in place facility near the University of Missouri campus in Columbia, MO and, more recently, in assisted living in Cedar Falls, IA. The proposed project will build on this work with an innovative, interactive healthcare service. The monitoring system with health alerts will be introduced into independent housing in Kansas City. A new interactive exercise coaching interface will connect a remote physical therapist to senior clients in the home. GENI-enabled networking will be incorporated to support interactive monitoring and coaching that operates in real-time.
Hotrabhavananda, B., Mishra, A., Skubic, M., Hotrabhavananda, N. & Abbott, C., "Evaluation of the Microsoft Kinect Skeletal Data Versus Depth Data Analysis for Timed Up and Go and Figure of 8 Walk Tests," Proceedings, IEEE Conference of the Engineering in Medicine and Biology Society, Orlando, FL, August 2016.
Calyam, P., Mishra, A., Antequera, R.B., Chemodanov, D., Berryman, A., Zhu, K., Abbott, C. & Skubic, M., "Synchronous Big Data Analytics for Personalized and Remote Physical Therapy," Pervasive and Mobile Computing - Special Issue on Big Data Analytics for Smarter Health Care, Volume 28 Issue C, Pages 3-20, June 2016. Download PDF »
Mishra, A.K., Skubic, M. & Abbott, C., "Development and Preliminary Validation of an Interactive Remote Physical Therapy System," 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, August 2015, pp 190-193.Download PDF »
Singhal, M., Ramanathan, J., Calyam, P. & Skubic, M. "In-the-know: Recommendation Framework for City-supported Hybrid Cloud Services," Proceedings, IEEE/ACM Conference on Utility and Cloud Computing (UCC), London, UK, pp 137-145, ISBN 978-1-4799-7881-6, December 8-11, 2014.Download PDF »
Alexander GL, Havens TC, Rantz M, Keller J & Abbott CC, "An Analysis of Human Motion Detection Systems Use During Elder Exercise Routines," Western Journal of Nursing Research, March 2010; 32(2):233-249.Download PDF »
Havens TC, Alexander GL, Abbott CC, Keller JM, Skubic M & Rantz M, "Tracking Exercise Motions of Older Adults Using Contours," Journal of Applied Computer Science Methods, 2010, 1(2):21-42.Download PDF »
Havens TC, Alexander GL, Abbott C, Keller JM, Skubic M & Rantz M, "Contour Tracking of Human Exercises," Proceedings, IEEE Conference on Visual Intelligence, Nashville, Tennessee, March 30-April 2, 2009, pp 22-28.Download PDF »
Havens TC, Bezdek JC, Keller JM, and Popescu M, "Clustering in Ordered Dissimilarity Data," International Journal of Intelligent Systems, vol 24:5, 504-528.Download PDF »
Alexander GL, Havens TC, Skubic M, Rantz M, Keller JM & Abbott C, "Markerless Human Motion Capture-Based Exercise Feedback System to Increase Efficacy and Safety of Elder Exercise Routines," Proceedings, 6th International Conference of International Society for Gerontechnology, Pisa, Italy, June 4-7, 2008, pp 73-78.Download PDF »
Demiris G, Parker Oliver D, Hensel BK, Dickey G, Rantz M, Skubic M, "Use of Videophones for Distant Caregiving: An Enriching Experience for Families and Residents in Long-Term Care," Journal of Gerontological Nursing, 34(7), 50-55.