@inproceedings{b67b917d84944f87bc281edee00fbf83,
title = "Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification",
abstract = "With the prevalence of traumatic brain injury and associated motor function impairment, an advance in the capacity to measure the efficacy of a rehabilitation strategy is a topic of considerable interest. For example, the development of a rehabilitation system that can quantify the efficacy to an ankle dorsiflexion therapy prescription would be beneficial. An ankle rehabilitation system is presented that amalgamates multiple technologies, such as a smartphone (iPhone) wireless gyroscope platform, machine learning, and 3D printing. The ankle rehabilitation system is produced by mostly 3D printing. A smartphone wireless gyroscope platform records the ankle rehabilitation system's therapy usage with wireless transmission to the Internet as an email attachment. The gyroscope signal data is processed for machine learning. A support vector machine attains 97% classification between a hemiplegic affected ankle and unaffected ankle feature set while using the ankle rehabilitation system. The application can be readily applied to a homebound setting of the subject's convenience.",
keywords = "3D printing, Ankle rehabilitation, Dorsiflexion, Gyroscope, Machine learning, Smartphone, Support vector machine, Therapy, Therapy quantification, Wireless gyroscope, Wireless sensor",
author = "Robert Lemoyne and Timothy Mastroianni and Anthony Hessel and Nishikawa, {Kiisa C}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015 ; Conference date: 09-12-2015 Through 11-12-2015",
year = "2016",
month = mar,
day = "2",
doi = "10.1109/ICMLA.2015.213",
language = "English (US)",
series = "Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "406--409",
booktitle = "Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015",
}