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Implementation of machine learning for classifying prosthesis type through conventional gait analysis.

, , , and . EMBC, page 202-205. IEEE, (2015)

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Wireless gyroscope platform enabled by a portable media device for quantifying wobble board therapy., and . EMBC, page 2662-2666. IEEE, (2017)Ankle Rehabilitation System with Feedback from a Smartphone Wireless Gyroscope Platform and Machine Learning Classification., , , and . ICMLA, page 406-409. IEEE, (2015)Quantified reflex strategy using an iPod as a wireless accelerometer application., , and . EMBC, page 2476-2479. IEEE, (2012)Applied Software Development with Python and Machine Learning Involving Wearable and - Wireless Systems for Movement Disorder Treatment Through Deep Brain Stimulation, and . WorldScientific, (2021)Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease., , , and . ICMLA, page 1106-1111. IEEE, (2020)Application of a Multilayer Perceptron Neural Network for Classifying Software Platforms of a Powered Prosthesis through a Force Plate., , , and . ICMLA, page 402-405. IEEE, (2015)Implementation of machine learning for classifying prosthesis type through conventional gait analysis., , , and . EMBC, page 202-205. IEEE, (2015)Parametric evaluation of deep brain stimulation parameter configurations for Parkinson's disease using a conformal wearable and wireless inertial sensor system and machine learning., , , and . EMBC, page 3606-3611. IEEE, (2020)Evaluation of Machine Learning Algorithms for Classifying Deep Brain Stimulation Respective of 'On' and 'Off' Status., , , , and . NER, page 483-488. IEEE, (2019)Implementation of an iPhone wireless accelerometer application for the quantification of reflex response., , , and . EMBC, page 4658-4661. IEEE, (2013)