التفاصيل البيبلوغرافية
| العنوان: |
Digital Signal Processing Architecture Design for Closed-Loop Electrical Nerve Stimulation Systems |
| المؤلفون: |
Jui-wei Tsai |
| سنة النشر: |
2020 |
| المجموعة: |
Purdue University Graduate School: Figshare |
| مصطلحات موضوعية: |
Biomechanical engineering, Medical devices, Signal processing, Circuits and systems, Electrical engineering not elsewhere classified, Electrical Nerve Stimulation (ENS), Neural Response Telemetry (NRT), Electrically-Evoked Compound Action Potential (ECAP), Digital Signal Processing (DSP), VLSI Architecture, Stimulus Artifact Rejection, Linear-Phase Filtering, Field-Programmable Gate Array (FPGA), Application-Specific Integrated Circuit (ASIC), Wearable Devices, Electrical and Electronic Engineering not elsewhere classified |
| الوصف: |
Electrical nerve stimulation (ENS) is an emerging therapy for many neurological disorders. Compared with conventional one-way stimulations, closed-loop ENS approaches increase the stimulation efficacy and minimize patient's discomfort by constantly adjusting the stimulation parameters according to the feedback biomarkers from patients. Wireless neurostimulation devices capable of both stimulation and telemetry of recorded physiological signals are welcome for closed-loop ENS systems to improve the quality and reduce the costs of treatments, and real-time digital signal processing (DSP) engines processing and extracting features from recorded signals can reduce the data transmission rate and the resulting power consumption of wireless devices. Electrically-evoked compound action potential (ECAP) is an objective measure of nerve activity and has been used as the feedback biomarker in closed-loop ENS systems including neural response telemetry (NRT) systems and a newly proposed autonomous nerve control (ANC) platform. It's desirable to design a DSP engine for real-time processing of ECAP in closed-loop ENS systems. This thesis focuses on developing the DSP architecture for real-time processing of ECAP, including stimulus artifact rejection (SAR), denoising, and extraction of nerve fiber responses as biomedical features, and its VLSI implementation for optimal hardware costs. The first part presents the DSP architecture for real-time SAR and denoising of ECAP in NRT systems. A bidirectional-filtered coherent averaging (BFCA) method is proposed, which enables the configurable linear-phase filter to be realized hardware efficiently for distortion-free filtering of ECAPs and can be easily combined with the alternating-polarity (AP) stimulation method for SAR. Design techniques including folded-IIR filter and division-free averaging are incorporated to reduce the computation cost. The second part presents the fiber-response extraction engine (FREE), a dedicated DSP engine for nerve activation control in the ANC ... |
| نوع الوثيقة: |
thesis |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/thesis/Digital_Signal_Processing_Architecture_Design_for_Closed-Loop_Electrical_Nerve_Stimulation_Systems/12933701 |
| DOI: |
10.25394/pgs.12933701.v1 |
| الاتاحة: |
https://doi.org/10.25394/pgs.12933701.v1 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.62306311 |
| قاعدة البيانات: |
BASE |