New Developments in Homebound Therapy Enabled Through Wearable and Wireless Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2439-0_14
Reference29 articles.
1. LeMoyne R, Mastroianni T (2021) An evolutionary perspective for Network Centric Therapy through wearable and wireless systems for reflex, gait, and movement disorder assessment with machine learning. Wireless Sensor Networks-Design, Deployment and Applications, 1–26
2. LeMoyne R, Mastroianni T, Hessel A, Nishikawa K, (2015) December. Ankle rehabilitation system with feedback from a smartphone wireless gyroscope platform and machine learning classification. In: 14th International Conference on Machine Learning and Applications (ICMLA), IEEE, pp 406–409
3. LeMoyne R, Mastroianni T (2021) Conformal wearable for quantification of dorsiflexion for a hemiplegic ankle pair with distinction by machine learning. In: 20th International Conference on Machine Learning and Applications (ICMLA), IEEE, pp 1307–1310
4. LeMoyne R, Mastroianni T (2021) Machine learning classification of diadochokinesia for a hemiplegic ankle foot complex pair. In: 9th International Conference on e-Health and Bioengineering (EHB), IEEE, pp 1–4
5. LeMoyne R, Mastroianni T (2021) Application of a multilayer perceptron neural network for differentiation of the influence of ankle stretch duration for hemiplegic affected ankle dorsiflexion quantified by a smartphone functioning as a wearable and wireless gyroscope platform. In: 9th International Conference on e-Health and Bioengineering (EHB), IEEE, pp 1–4
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