Wireless accelerometer iPod application for quantifying gait characteristics. - Robert LeMoyne; Timothy Mastroianni; Warren S. Grundfest (EMBC, 2011)

Quantified reflex strategy using an iPod as a wireless accelerometer application. - Robert LeMoyne; Timothy Mastroianni; Warren S. Grundfest (EMBC, 2012)

Implementation of an iPhone wireless accelerometer application for the quantification of reflex response. - Robert LeMoyne; Timothy Mastroianni; Warren S. Grundfest; Kiisa Nishikawa (EMBC, 2013)

Implementation of a smartphone as a wireless gyroscope application for the quantification of reflex response. - Robert LeMoyne; Timothy Mastroianni (EMBC, 2014)

Implementation of a smartphone for evaluating gait characteristics of a trans-tibial prosthesis. - Robert LeMoyne; Timothy Mastroianni; Kevin Montoya (EMBC, 2014)

Simulation of a computational winding filament model with an exponential spring to represent titin. - Robert LeMoyne; Jeremy Petak; John T. Tester; Kiisa Nishikawa (EMBC, 2014)

Implementation of Machine Learning for Classifying Hemiplegic Gait Disparity through Use of a Force Plate. - Robert LeMoyne; Wesley T. Kerr; Timothy Mastroianni; Anthony L. Hessel (ICMLA, 2014)

Implementation of machine learning for classifying prosthesis type through conventional gait analysis. - Robert LeMoyne; Timothy Mastroianni; Anthony L. Hessel; Kiisa Nishikawa (EMBC, 2015)

Implementation of a smartphone wireless accelerometer platform for establishing deep brain stimulation treatment efficacy of essential tremor with machine learning. - Robert LeMoyne; Nestor D. Tomycz; Timothy Mastroianni; Cyrus McCandless; Michael Cozza; David Peduto (EMBC, 2015)

Application of a Multilayer Perceptron Neural Network for Classifying Software Platforms of a Powered Prosthesis through a Force Plate. - Robert LeMoyne; Timothy Mastroianni; Anthony L. Hessel; Kiisa Nishikawa (ICMLA, 2015)

Ankle Rehabilitation System with Feedback from a Smartphone Wireless Gyroscope Platform and Machine Learning Classification. - Robert LeMoyne; Timothy Mastroianni; Anthony L. Hessel; Kiisa Nishikawa (ICMLA, 2015)

Wearable body and wireless inertial sensors for machine learning classification of gait for people with Friedreich's ataxia. - Robert LeMoyne; Frederic Heerinckx; Tanya Aranca; Robert De Jager; Theresa Zesiewicz; Harry J. Saal (BSN, 2016)

Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by multilayer perceptron neural network. - Robert LeMoyne; Timothy Mastroianni (EMBC, 2016)

Smartphone wireless gyroscope platform for machine learning classification of hemiplegic patellar tendon reflex pair disparity through a multilayer perceptron neural network. - Robert LeMoyne; Timothy Mastroianni (Wireless Health, 2016)

Wireless gyroscope platform enabled by a portable media device for quantifying wobble board therapy. - Robert LeMoyne; Timothy Mastroianni (EMBC, 2017)

Virtual Proprioception for eccentric training. - Robert LeMoyne; Timothy Mastroianni (EMBC, 2017)

Wearable and Wireless Systems for Healthcare I - Gait and Reflex Response Quantification - Robert LeMoyne; Timothy Mastroianni (Springer, 2018)

Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network. - Robert LeMoyne; Timothy Mastroianni (ICMLA, 2018)

Wearable and Wireless Systems for Healthcare II - Movement Disorder Evaluation and Deep Brain Stimulation Systems - Robert LeMoyne; Timothy Mastroianni; Donald Whiting; Nestor D. Tomycz (Springer, 2019)

Evaluation of Machine Learning Algorithms for Classifying Deep Brain Stimulation Respective of 'On' and 'Off' Status. - Robert LeMoyne; Timothy Mastroianni; Cyrus McCandless; Donald Whiting; Nestor D. Tomycz (NER, 2019)

Parametric evaluation of deep brain stimulation parameter configurations for Parkinson's disease using a conformal wearable and wireless inertial sensor system and machine learning. - Robert LeMoyne; Timothy Mastroianni; Donald Whiting; Nestor D. Tomycz (EMBC, 2020)

Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease. - Robert LeMoyne; Timothy Mastroianni; Donald Whiting; Nestor D. Tomycz (ICMLA, 2020)

Applied Software Development with Python and Machine Learning Involving Wearable and - Wireless Systems for Movement Disorder Treatment Through Deep Brain Stimulation - Robert LeMoyne; Timothy Mastroianni (WorldScientific, 2021)

Conformal Wearable for Quantification of Dorsiflexion for a Hemiplegic Ankle Pair with Distinction by Machine Learning. - Robert LeMoyne; Timothy Mastroianni (ICMLA, 2021)

Wearable and Wireless Systems for Healthcare I - Gait and Reflex Response Quantification, Second Edition - Robert LeMoyne; Timothy Mastroianni (Springer, 2024)