Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification

Robert Lemoyne; Timothy Mastroianni; Anthony Hessel; Kiisa C Nishikawa

doi:10.1109/ICMLA.2015.213

Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification

Robert Lemoyne, Timothy Mastroianni, Anthony Hessel, Kiisa C Nishikawa

Biological Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	406-409
Number of pages	4
ISBN (Print)	9781509002870
DOIs	https://doi.org/10.1109/ICMLA.2015.213
State	Published - Mar 2 2016
Event	IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015 - Miami, United States Duration: Dec 9 2015 → Dec 11 2015

Other

Other	IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015
Country	United States
City	Miami
Period	12/9/15 → 12/11/15

Keywords

3D printing
Ankle rehabilitation
Dorsiflexion
Gyroscope
Machine learning
Smartphone
Support vector machine
Therapy
Therapy quantification
Wireless gyroscope
Wireless sensor

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications

Access to Document

10.1109/ICMLA.2015.213

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Cite this

Lemoyne, R., Mastroianni, T., Hessel, A., & Nishikawa, K. C. (2016). Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification. In Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015 (pp. 406-409). [7424346] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA.2015.213

Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification. / Lemoyne, Robert; Mastroianni, Timothy; Hessel, Anthony; Nishikawa, Kiisa C.

Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 406-409 7424346.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lemoyne, R, Mastroianni, T, Hessel, A & Nishikawa, KC 2016, Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification. in Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015., 7424346, Institute of Electrical and Electronics Engineers Inc., pp. 406-409, IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015, Miami, United States, 12/9/15. https://doi.org/10.1109/ICMLA.2015.213

Lemoyne R, Mastroianni T, Hessel A, Nishikawa KC. Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification. In Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 406-409. 7424346 https://doi.org/10.1109/ICMLA.2015.213

Lemoyne, Robert ; Mastroianni, Timothy ; Hessel, Anthony ; Nishikawa, Kiisa C. / Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification. Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 406-409

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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.",

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