**9. Conclusion**

The evolutionary perspective for the advent of Network Centric Therapy for the domains of assessing reflex, gait, and movement disorders have been thoroughly discussed. Inherent aspects pertaining to Network Centric Therapy involve wearable and wireless inertial sensor systems, machine learning, and Cloud computing access for the acquired inertial sensor signal data. The implications are that expert clinicians can access a patient's health status based on the wearable and wireless inertial sensor system signal data from anywhere in the world. These achievements constitute a significant evolution relative to traditional ordinal scale methodologies and electro-mechanical signal data obtained by clinical laboratory resources. Conformal wearable and wireless inertial sensor systems have further evolved the capabilities of Network Centric Therapy. In the future Network Centric Therapy is envisioned to augment clinical diagnostic and prognostic acuity, optimize rehabilitation, and enable closed-loop optimization of deep brain stimulation parameter configurations.

**307**

USA

**Author details**

Robert LeMoyne1

\* and Timothy Mastroianni<sup>2</sup>

2 Founder of Cognition Engineering, Pittsburgh, PA, USA

provided the original work is properly cited.

1 Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ,

\*Address all correspondence to: robert.lemoyne@nau.edu; rlemoyne07@gmail.com

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

*An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless…*

*DOI: http://dx.doi.org/10.5772/intechopen.95550*

*An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless… DOI: http://dx.doi.org/10.5772/intechopen.95550*
