Abstract
The implementation of wearable and wireless systems for deep brain stimulation offers the opportunity to substantially advance the treatment of progressive neurodegenerative movement disorders, such as Parkinson’s disease and Essential tremor. Deep brain stimulation offers an efficacious alternative regarding scenarios for which the intervention by medication has become intractable while avoiding the permanency of ablative neurosurgery. Even subsequent to the expert surgical application of the deep brain stimulation system, the acquisition of the optimal parameter configuration is inherently resource intensive and challenging in nature. With the advent of wearable and wireless systems, the response to therapy intervention for movement disorder status can be objectively quantified through the inertial sensor signal, such as an accelerometer and gyroscope. Furthermore, wireless connectivity to the Internet enables experimental and post-processing resources to be remotely situated effectively anywhere in the world. With machine learning amended to the post-processing capability, clinical diagnostic acuity is substantially advanced. Foundational subjects are elucidated, such a general perspective regarding Parkinson’s disease and Essential tremor, traditional ordinal methodologies for diagnosing severity, and the development of deep brain stimulation including surgical techniques for installation. The role of wearable and wireless systems, such as the smartphone, for quantifying the status of neurodegenerative movement disorders, such as Parkinson’s disease and Essential tremor, is presented. The utility of applying machine learning for augmenting diagnostic acuity of movement disorder status is addressed. The integration of wearable and wireless systems, such as the smartphone, with machine learning is discussed for the ability to distinctively classify between deep brain stimulation set to “On” and “Off” status for Parkinson’s disease and Essential tremor. The amalgamation of wearable and wireless systems with deep brain stimulation using machine learning as an augmented post-processing application implicate the evolutionary trends for the ability to achieve closed-loop optimization of parameter configurations with the development of Network Centric Therapy for a quantum leap in the treatment intervention for neurodegenerative movement disorders, such as Parkinson’s disease and Essential tremor.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.