体外闭环反馈系统控制多巴胺浓度评估数据集
帕金森病研究中利用FSCV进行体外多巴胺浓度闭环控制实验的数据集。

基本信息
资源简介
体外闭环反馈系统控制多巴胺浓度评估数据集
【一句话概览】
本数据集是 figshare 公开的时序数据集,收录 10 个文件、合计 11.34 MB,主题涵盖 FSCV、Neurotransmitters、Closed-loop、Dopamine,可用于疾病进展预测与生理信号时序建模,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《In vitro evaluation of a closed-loop feedback system for dopamine concentration control》。配套论文《In vitro evaluation of a closed-loop feedback system for dopamine concentration control》发表于 Research on Biomedical Engineering(2015),DOI:10.1590/2446-4740.0653。源站首次发布:2018-12-26。
【数据内容】
源站原始描述:Introduction It is well known that Parkinson’s disease is related to a deficit of dopamine (DA) in the region of the brain called the corpus striatum. The aim of this work is to demonstrate the possibility of in vitro closed-loop control of the DA concentration levels. Methods By applying the electrochemical technique of fast scan cyclic voltammetry (FSCV), the measured values were compared with previously selected ones, and the system made decisions to control infusion pumps by dynamically adju…
【数据结构与技术规格】
文件数 10 个,合计 11.34 MB。数据集 DOI:10.6084/m9.figshare.7508675.v1。
【主题与分类】
源站学科分类:Biological Engineering。主题标签:FSCV、Neurotransmitters、Closed-loop、Dopamine。
【适用方向】
时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/In_vitro_evaluation_of_a_closed-loop_feedback_system_for_dopamine_concentration_control/7508675
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Araujo, Carlos Eduardo de; Abatti, Paulo José; Da Cunha, Cláudio; Gómez, Alexander; Dombrowski, Patrícia Andréia (2015). In vitro evaluation of a closed-loop feedback system for dopamine concentration control. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:In vitro evaluation of a closed-loop feedback system for dopamine concentration control
- DOI:10.6084/m9.figshare.7508675.v1
- 发布日期:2018-12-26
- 文件数:10 个
- 文件总体积:11.34 MB
- 源站页面:https://scielo.figshare.com/articles/dataset/In_vitro_evaluation_of_a_closed-loop_feedback_system_for_dopamine_concentration_control/7508675
命令行下载
curl -L -o "2446-4740-reng-31-1-26-gf01.jpg" "https://ndownloader.figshare.com/files/13921367"
curl -L -o "2446-4740-reng-31-1-26-gf02.jpg" "https://ndownloader.figshare.com/files/13921373"
curl -L -o "2446-4740-reng-31-1-26-gf03.jpg" "https://ndownloader.figshare.com/files/13921382"
curl -L -o "2446-4740-reng-31-1-26-gf04.jpg" "https://ndownloader.figshare.com/files/13921391"
curl -L -o "2446-4740-reng-31-1-26-gf05.jpg" "https://ndownloader.figshare.com/files/13921400"
curl -L -o "2446-4740-reng-31-1-26-gf06.jpg" "https://ndownloader.figshare.com/files/13921412"
curl -L -o "2446-4740-reng-31-1-26-gf07.jpg" "https://ndownloader.figshare.com/files/13921421"
curl -L -o "2446-4740-reng-31-1-26-gf08.jpg" "https://ndownloader.figshare.com/files/13921430"
文件清单
2446-4740-reng-31-1-26-gf01.jpg(1.44 MB)2446-4740-reng-31-1-26-gf02.jpg(1.78 MB)2446-4740-reng-31-1-26-gf03.jpg(1.66 MB)2446-4740-reng-31-1-26-gf04.jpg(1.37 MB)2446-4740-reng-31-1-26-gf05.jpg(1.05 MB)2446-4740-reng-31-1-26-gf06.jpg(830.36 KB)2446-4740-reng-31-1-26-gf07.jpg(973.96 KB)2446-4740-reng-31-1-26-gf08.jpg(1.12 MB)2446-4740-reng-31-1-26-gf09.jpg(1.11 MB)Table_1.xls(5.63 KB)
文件总体积 11.34 MB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Introduction It is well known that Parkinson’s disease is related to a deficit of dopamine (DA) in the region of the brain called the corpus striatum. The aim of this work is to demonstrate the possibility of in vitro closed-loop control of the DA concentration levels. Methods By applying the electrochemical technique of fast scan cyclic voltammetry (FSCV), the measured values were compared with previously selected ones, and the system made decisions to control infusion pumps by dynamically adjusting the DA concentration in a continuous flow injection cell. Low-cost hardware was used for the acquisition and control signals (Arduino board), whereas for processing the collected data, graphical programming software (LabView) was used. Results The resolution of the system was approximately 0.4 µmol/L, with a time correction of the concentration adjustable between 1 and 90 seconds. The system allowed control of the DA concentration between 1 and 10 µmol/L with an error of approximately +/– 0.8 µmol/L. Conclusion Although designed to control the DA concentration, the system could be used to control, within the range of the developed FSCV, the concentration of other substances or to turn on brain stimulators. These results encourage the possibility of using the system in clinical studies (in vivo).
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7508675.v1(source: https://scielo.figshare.com/articles/dataset/In_vitro_evaluation_of_a_closed-loop_feedback_system_for_dopamine_concentration_control/7508675)。
数据缺失?
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