MedicineEngineeringComputer Science

Assessment of Machine Learning Classification Strategies for the Differentiation of Deep Brain Stimulation “On” and “Off” Status for Parkinson’s Disease Using a Smartphone as a Wearable and Wireless Inertial Sensor for Quantified Feedback

R. LeMoyne, Timothy Mastroianni, D. Whiting, N. Tomycz

2019Smart Sensors, Measurement and Instrumentation

DOI: 10.1007/978-981-13-5808-1_9

tlooto Summary

A preliminary perspective is established regarding the utility of Network Centric Therapy, for which effectively real-time optimization of parameter configurations for deep brain stimulation can be developed in a patient-specific context.

Abstract

Abstract is not available.

Citation format

LEMOYNE, R., et al. Assessment of machine learning classification strategies for the differentiation of deep brain stimulation “on” and “off” status for parkinson’s disease using a smartphone as a wearable and wireless inertial sensor for quantified feedback. Smart Sensors, Measurement and Instrumentation, 2019.