Wearable body and wireless inertial sensors for machine learning classification of gait for people with Friedreich's ataxia
R LeMoyne, F Heerinckx, T Aranca… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
The integration of wearable and wireless inertial body sensors with machine learning offers
the capacity to diagnose neurological disorders involving gait. Clinical rating scales may be …
the capacity to diagnose neurological disorders involving gait. Clinical rating scales may be …
Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by …
R LeMoyne, T Mastroianni - 2016 38th Annual International …, 2016 - ieeexplore.ieee.org
Natural gait consists of synchronous and rhythmic patterns for both the lower and upper
limb. People with hemiplegia can experience reduced arm swing, which can negatively …
limb. People with hemiplegia can experience reduced arm swing, which can negatively …
[HTML][HTML] An evolutionary perspective for Network Centric Therapy through wearable and wireless systems for reflex, gait, and movement disorder assessment with …
R LeMoyne, T Mastroianni - Wireless Sensor Networks-Design …, 2021 - intechopen.com
Wearable and wireless systems have progressively evolved to achieve the capabilities of
Network Centric Therapy. Network Centric Therapy comprises the application of wearable …
Network Centric Therapy. Network Centric Therapy comprises the application of wearable …
Smartphone wireless gyroscope platform for machine learning classification of hemiplegic patellar tendon reflex pair disparity through a multilayer perceptron neural …
R Lemoyne, T Mastroianni - 2016 IEEE Wireless Health (WH), 2016 - ieeexplore.ieee.org
The patellar tendon enables fundamental insight regarding neurological health status.
Clinically observed dysfunction may warrant escalation to more advanced and expensive …
Clinically observed dysfunction may warrant escalation to more advanced and expensive …
Biometrics of ECG Signal through Temporal Organization with Support Vector Machine
R LeMoyne, T Mastroianni - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The characteristics of the heart are inherently suited for the domain of biometrics, which are
revealed through the ECG signal that quantifies the electrical attributes of the heart …
revealed through the ECG signal that quantifies the electrical attributes of the heart …
Quantification systems appropriate for a clinical setting
R LeMoyne, T Mastroianni - … and Wireless Systems for Healthcare I: Gait …, 2024 - Springer
Conventional gait quantification is provided in a highly structured clinical setting. These
devices represent a metaphorical second wave encompassing clinically standard …
devices represent a metaphorical second wave encompassing clinically standard …
Role of machine learning for gait and reflex response classification
R LeMoyne, T Mastroianni, R LeMoyne… - Wearable and Wireless …, 2018 - Springer
Over the span of the past decade machine learning has been applied to distinguishing
between disparate health status scenarios with considerable classification accuracy. Recent …
between disparate health status scenarios with considerable classification accuracy. Recent …
Role of Machine Learning for Classification of Movement Disorder and Deep Brain Stimulation Status
R LeMoyne, T Mastroianni, D Whiting… - Wearable and Wireless …, 2019 - Springer
Recently, machine learning has augmented the capability of the amalgamation of wearable
and wireless systems for deep brain stimulation systems. Machine learning platforms have …
and wireless systems for deep brain stimulation systems. Machine learning platforms have …
Role of Machine Learning for Classification of Movement Disorder and Deep Brain Stimulation Status
R LeMoyne, T Mastroianni, D Whiting… - Wearable and Wireless …, 2024 - Springer
Recently, machine learning has augmented the capability of the amalgamation of wearable
and wireless systems for deep brain stimulation systems. Machine learning platforms have …
and wireless systems for deep brain stimulation systems. Machine learning platforms have …
[PDF][PDF] Low-cost Three Axis Force Plate using Machine Learning
J Teversham, A Patel, MC Fisher - 2018 - jamestev.github.io
Force plates are widely considered the gold standard in measurement of ground reaction
forces (GRFs) in the study of both humans and legged animals. Intricate GRF profiles of …
forces (GRFs) in the study of both humans and legged animals. Intricate GRF profiles of …