Research of Digital Signal Processing Chip Design for Closed-Loop Parkinson Deep Brain Stimulation Soc System

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details

Abstract

The research team proposed “Research of Digital Signal Processing Chip Design for Closed-Loop Parkinson Deep Brain Stimulation SoC System” to is responsible for digital signal processing algorithms and architecture design for the overall integrated Closed-Loop DBS project. In the first year, our target is for the development of a new closed-loop deep brain electrical stimulation of discrete elements of the system platform, for Parkinson's disease patients. Through local field potentials recorded waveform sensed by the patientssubthalamic nucleus of Parkinson's, the system preamp and analog-digital conversion circuit processing, and then according to the DBS control algorithms to control electrical stimulation output parameters. With adaptive DBS stimulation control, a real-time adjustable closed-loop electrical stimulation for Parkinson disease can be realized. The operator can execute the analyzing algorithms based on the calculation result of LFP in the band of 13~35Hz through the human--machine interface to decide the DBS stimulation trigger threshold. In the second year, the DSP control chip for closed-loop DBS is designed based on clinical data and parameters and is realized ready to be integrated with other sub-projects. In the third year, a complete DBS system in SoC integration is realized to achieve real-time adaptive closed-loop DBS stimulation. In this sub-project, we will implement the adaptive TH adjustable high-precision closed-loop DBS signal processing chip. The adaptive control algorithm is designed based on the system parameters variation tolerable LZC analysis, multi-reference sources light machine learning. The low power, high-efficient stimulation pattern is designed based on low-frequency phase-alignment disrupting mechanism to break the over-synchronization signal in STN, which is totally different from the traditional high frequency stimulation pattern. With algorithmic low power architecture design, a high stimulation accuracy closed-loop DBS signal processing control chip can be realized to operate for longer time. With SoC, the real-time adaptive closed-loop DBS can be realized with immediate and effective Parkinson detection and treatment. In this way, the real-time adaptive brain pacemaker with self-learning mechanism can be realized in clinical applications and the main goal in this sub-project is achieved at the same time. Once we can find the find theoretical and clinical mechanism of DBS system for the treatment of Parkinson's disease through the research study of adaptive closed-loop DBS control and stimulation, it would be a great breakthrough progress for the clinical treatment of Parkinson's disease.

Project IDs

Project ID:PB10507-1725
External Project ID:MOST105-2221-E182-078
StatusFinished
Effective start/end date01/08/1631/07/17

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