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CAREER: Peripheral nerve recording, analysis, and modulation for neural communication and control

职业：用于神经通讯和控制的周围神经记录、分析和调制

基本信息

批准号：
1845709
负责人：
Zhi Yang
金额：
$ 50万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-02-15 至 2025-01-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1845709&HistoricalAwards=false
关键词：
CAREER Peripheral nerve recording analysis

项目摘要

Electroceuticals is a new research area in bioelectronics and neurotechnologies that can potentially benefit more than 10 million American patients. It aims to create implants that can monitor and modulate nerve activity to treat gastrointestinal diseases, diabetes, epilepsy, asthma, arthritis, chronic pain, and hypertension and other heart conditions. Two significant engineering challenges to implement electroceuticals are (1) to sense and analyze nerve neural signals, and (2) to define and incorporate neural feedback to improve stimulation outcomes. This project aims to develop a novel integrated hardware and software platform to overcome these two challenges. Thus a future electroceutical therapy can be implemented and optimized based on neural feedback and physiological responses. This project also includes an integrated educational and outreach component to both foster interdisciplinary research training and to increase participation of underrepresented students in STEM disciplines.This project will establish a new low-noise recording capability with a stimulation function to interface with nerves. It will also generate valuable nerve datasets that will be critical for the development of deep learning algorithms to analyze neural signals and support adaptive neuromodulation. The new technical contributions from the hardware aspects will include a new peripheral nerve recorder with multiple noise reduction techniques to enable nerve recording, and a new redundant crossfire stimulator to minimize stimulation noise artifacts for simultaneous recording and stimulation. From the software aspect, this research proposes a deep neural network based flow to de-noise the recordings, detect neural signals, and decode information. This project will also perform novel in-vivo experiments to validate the proposed technology platform and to simulate a real application in treating heart failure as a proof-of-concept demonstration of electroceuticals.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

电疗法是生物电子和神经技术的一个新研究领域，可能会使1000多万美国患者受益。它的目标是创造能够监测和调节神经活动的植入物，以治疗胃肠道疾病、糖尿病、癫痫、哮喘、关节炎、慢性疼痛、高血压和其他心脏疾病。实施电刺激的两个重大工程挑战是(1)感知和分析神经神经信号，以及(2)定义和整合神经反馈以改善刺激结果。该项目旨在开发一种新颖的硬件和软件集成平台来克服这两个挑战。因此，未来的电疗可以基于神经反馈和生理反应来实施和优化。该项目还包括一个综合的教育和宣传部分，以促进跨学科研究培训，并增加代表不足的学生对STEM学科的参与。该项目将建立一种新的低噪音记录能力，具有与神经连接的刺激功能。它还将生成有价值的神经数据集，这些数据集将对开发深度学习算法至关重要，以分析神经信号并支持自适应神经调节。硬件方面的新技术贡献将包括具有多种降噪技术的新周围神经记录器，以实现神经记录，以及新的冗余交叉火力刺激器，以最大限度地减少同时记录和刺激的刺激噪声伪影。在软件方面，本研究提出了一种基于深度神经网络的记录去噪、神经信号检测、信息解码的流程。该项目还将进行新颖的体内实验，以验证所建议的技术平台，并模拟将心力衰竭作为电针的概念验证演示的真实应用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A bioelectric neural interface towards intuitive prosthetic control for amputees

DOI：
10.1088/1741-2552/abc3d3
发表时间：
2020-12-01
期刊：
JOURNAL OF NEURAL ENGINEERING
影响因子：
4
作者：
Anh Tuan Nguyen;Xu, Jian;Yang, Zhi
通讯作者：
Yang, Zhi

A portable, self-contained neuroprosthetic hand with deep learning-based finger control

便携式、独立的神经假手，具有基于深度学习的手指控制

DOI：
10.1088/1741-2552/ac2a8d
发表时间：
2021
期刊：
Journal of Neural Engineering
影响因子：
4
作者：
Nguyen, Anh Tuan;Drealan, Markus W;Khue Luu, Diu;Jiang, Ming;Xu, Jian;Cheng, Jonathan;Zhao, Qi;Keefer, Edward W;Yang, Zhi
通讯作者：
Yang, Zhi

Noise Optimization Techniques for Switched-Capacitor Based Neural Interfaces

基于开关电容器的神经接口的噪声优化技术