Investigating Impact of Current Pulse Waveform and Simulation Frequency on Deep Brain Stimulation
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| Title: | Investigating Impact of Current Pulse Waveform and Simulation Frequency on Deep Brain Stimulation |
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| Authors: | Enver Salkım |
| Source: | Firat University Journal of Experimental and Computational Engineering, Vol 4, Iss 1, Pp 59-71 (2025) Volume: 4, Issue: 159-71 Firat University Journal of Experimental and Computational Engineering |
| Publisher Information: | Fırat University, Faculty of Engineering, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Biomedical Instrumentation, Biyo-hesaplamalı modelleme, Kapasitif etki, Derin beyin stimülasyonu, Simülasyon frekansı, Stimülasyon dalga formu, Deep brain stimulation, Bio-computational modelling, Capacitive effect, Simulation frequency, Stimulation waveform, simulation frequency, Bio-computational modelling, Capacitive effect, Deep brain stimulation, Simulation frequency, Stimulation waveform, derin beyin stimülasyonu, Hesaplamalı Fizyoloji, capacitive effect, Tıbbi Cihazlar, bio-computational modelling, deep brain stimulation, TK1-9971, Medical Devices, kapasitif etki, simülasyon frekansı, Biyomedikal Enstrümantasyon, biyo-hesaplamalı modelleme, Computational Physiology, Electrical engineering. Electronics. Nuclear engineering, stimulation waveform, stimülasyon dalga formu |
| Description: | Bio-computational models have a significant impact on the design and development of medical devices. This approach allows investigation of various medical device parameter settings which would be infeasible to design by using the experimental test. Using the optimal parameters for these neuromodulator systems is crucial for the patient safety. Computational modelling is a fundamental tool in the challenge to improve targeting and stimulation parameters in deep brain stimulation (DBS). Specifically, it may be difficult to design an optimal neuromodulator for Parkinson's disease fusing DBS due to variations in many parameters including simulation waveform shape, pulse width, and amplitude as well as passive factors. This study investigates the impact of using different waveforms based on different pulse widths using such advanced bio-computational modelling systems. The volume conductor of a human head was generated based on average human head thickness including fundamental tissue layers. Then, the DBS electrode array was designed and merged with the computational model to analyse the results using different frequency ranges. Also, the fundamentals of the computational model developments were highlighted for the computational model designers. Then, the results were calculated based on electrical and current density distributions using time-based simulation. It was shown that the simulation frequency and simulation waveform shape have a significant impact on the outcome. The results suggested that the capacitive effect cannot be ignored at the higher frequency levels due to having a significant impact on the electrical potential, current density, and electric field distributions in the region of interest. |
| Document Type: | Article |
| File Description: | application/pdf |
| ISSN: | 2822-2881 |
| DOI: | 10.62520/fujece.1467198 |
| Access URL: | https://doaj.org/article/33d17d1fe9fa43fd808eaf1e2f1492d6 https://hdl.handle.net/20.500.12639/7211 https://dergipark.org.tr/tr/pub/fujece/issue/90445/1467198 |
| Accession Number: | edsair.doi.dedup.....a8ce486f2c5d943baafd32e5be3a1ca3 |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Bio-computational models have a significant impact on the design and development of medical devices. This approach allows investigation of various medical device parameter settings which would be infeasible to design by using the experimental test. Using the optimal parameters for these neuromodulator systems is crucial for the patient safety. Computational modelling is a fundamental tool in the challenge to improve targeting and stimulation parameters in deep brain stimulation (DBS). Specifically, it may be difficult to design an optimal neuromodulator for Parkinson's disease fusing DBS due to variations in many parameters including simulation waveform shape, pulse width, and amplitude as well as passive factors. This study investigates the impact of using different waveforms based on different pulse widths using such advanced bio-computational modelling systems. The volume conductor of a human head was generated based on average human head thickness including fundamental tissue layers. Then, the DBS electrode array was designed and merged with the computational model to analyse the results using different frequency ranges. Also, the fundamentals of the computational model developments were highlighted for the computational model designers. Then, the results were calculated based on electrical and current density distributions using time-based simulation. It was shown that the simulation frequency and simulation waveform shape have a significant impact on the outcome. The results suggested that the capacitive effect cannot be ignored at the higher frequency levels due to having a significant impact on the electrical potential, current density, and electric field distributions in the region of interest. |
|---|---|
| ISSN: | 28222881 |
| DOI: | 10.62520/fujece.1467198 |