NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies.
NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies.
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NRV：用于对周围神经电刺激策略进行计算机评估的开放框架。
DOI：
10.1101/2024.01.15.575628
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发表时间：
2024
期刊：
影响因子：
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通讯作者：
Kölbl,Florian
中科院分区：
文献类型：
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作者：
Couppey,Thomas;Regnacq,Louis;Giraud,Roland;Romain,Olivier;Bornat,Yannick;Kölbl,Florian
周围神经的电刺激已被用于各种病理学背景中，用于康复目的或减轻神经病理学的症状，从而改善患者的整体生活质量。然而，开发新的治疗策略仍然是一个具有挑战性的问题，需要广泛的体内实验活动和技术开发。为了便于设计新的刺激策略，我们提供了一个完全开源和自包含的软件框架，用于周围神经电刺激的计算机评估。我们的建模方法，在流行的和完善的Python语言开发，使用面向对象的范式映射的生理和电气环境。该框架旨在促进多尺度分析，从单纤维刺激到整个多分支神经。它还允许模拟复杂的策略，例如多个电极组合和波形，从传统的双相脉冲到更复杂的调制kHz刺激。此外，我们还为刺激策略优化提供自动化支持，并对用户透明地处理计算后端。我们的框架已经过广泛的测试和验证，在文献中的几个现有的结果。
Electrical stimulation of peripheral nerves has been used in various pathological contexts for rehabilitation purposes or to alleviate the symptoms of neuropathologies, thus improving the overall quality of life of patients. However, the development of novel therapeutic strategies is still a challenging issue requiring extensive in vivo experimental campaigns and technical development. To facilitate the design of new stimulation strategies, we provide a fully open source and self-contained software framework for the in silico evaluation of peripheral nerve electrical stimulation. Our modeling approach, developed in the popular and well-established Python language, uses an object-oriented paradigm to map the physiological and electrical context. The framework is designed to facilitate multi-scale analysis, from single fiber stimulation to whole multifascicular nerves. It also allows the simulation of complex strategies such as multiple electrode combinations and waveforms ranging from conventional biphasic pulses to more complex modulated kHz stimuli. In addition, we provide automated support for stimulation strategy optimization and handle the computational backend transparently to the user. Our framework has been extensively tested and validated with several existing results in the literature.